Virtual Decoupling for IT/Business Alignment – Conceptual Foundations, Architecture Design and Implementation Example
IT/business alignment is one of the main topics of information systems research. If IT artifacts and business-related artifacts are coupled point-to-point, however, complex architectures become unmanageable over time. In computer science, concepts like the ANSI/SPARC three-level database architecture propose an architecture layer which decouples external views on data and the implementation view of data. In this paper, a similar approach for IT/business alignment is proposed. The proposed alignment architecture is populated by enterprise services as elementary artifacts. Enterprise services link software components and process activities. They are aggregated into applications and subsequently into domains for planning/design and communication purposes. Most design approaches for the construction of enterprise services, applications and domains are top-down, i. e. they decompose complex artifacts on a stepwise basis. As an alternative which takes into account coupling semantics, we propose a bottom-up approach which is demonstrated for the identification of domains. Our approach is evaluated using a telecommunications equipment case study.
The role of organizational culture for grounding, management, guidance and effectiveness of enterprise architecture principles
Enterprise architecture management (EAM) has become a widely acknowledged approach for guiding the continuous change of increasingly complex organizations. While methods and models for describing and analyzing enterprise architectures (EA) have been extensively discussed, principles guiding an EA’s design and evolution are hardly covered in existing research. The paper at hand therefore analyzes the mechanisms of EA principles (EAP), that is EAP grounding, EAP management, and EAP guidance and their effects on EA consistency and EAM utility. Specifically we aim at understanding the role of organizational culture for the mechanisms and effects of EAP. Based on empirical data we find that all relations describing EAP mechanisms and their effects are significantly moderated by organizational culture. Based on our findings we give recommendations on how to deal with selected design decisions when introducing and developing EA principles in an organization.
The challenges of aligning IT with business triggered the attention towards Enterprise Architecture (EA). Despite the increase interest of academic scholars in EA, there is scarcity of studies that provide an up to date comprehensive research perspective view. The purpose of this study is to examine the research methodologies and theories utilized in EA studies from 2010 to 2016. The study employed Systematic Literature Review (SLR) as method to explore and analyze the literature of EA. The study revealed the research approaches and data collection methods utilized in EA. It shows that case study approach and interviews are the highly used compared to other research approaches and data collection instruments. Furthermore, it pointed out the low employment of theories in EA studies. The study is contributing to the body of knowledge by providing a foundation for novice researchers in the area of EA through detailed discussions of research methodologies and theories which are expected to support them in designing future studies.
Factors Influencing the Engagement Between Enterprise Architects and Stakeholders in Enterprise Architecture Development
The development of Enterprise Architecture (EA) is facing several challenges. The highly referenced challenges in literature are related to enterprise architects and stakeholders. The enterprise architects and the stakeholders are the main actors in EA development. However, there are limited studies that cover the relationship of the enterprise architects and the stakeholders. The purpose of this paper is to identify the factors characterizing the engagement of enterprise architects and the stakeholders in EA development. The study used a systematic literature review (SLR) as a method to identify the factors and proposing an initial engagement model. The SLR revealed 12 factors that influence the engagement between the enterprise architect and the stakeholders. These factors are organized using the multiple perspective theory under three perspectives namely; technical, organizational and personal that comprise the initial engagement model. The study is contributing by shedding the light on the key aspects of engagement factors between the enterprise architects and the stakeholders in the development of EA. Furthermore, it is an initial step towards developing the engagement framework by comprehending these key aspects.
This paper provides a state-of-the-art report on the usage of business capability maps in enterprise architecture management. We conducted expert interviews with 25 organizations to reveal the benefits and challenges of capability-based enterprise architecture management and evaluated 14 use cases on the feasibility and benefit of using business capability maps in practice. The results reveal increasing interest and acceptance of the approach in practice and among support organizations.
Growing complexity of the enterprise ecosystem along with the existence of legacy approaches in the organization can result in a number of challenges when maintaining the solid baseline of its information assets. The digital industry has, over past two decades, passed through rapid evolution triggered both by availability of new technologies, and business as well as operating and funding models. These enablers have direct impact on the way that organizations design and execute their business processes in order to maintain the alignment between their capabilities and targets. This trend implies that enterprises and organizations need to remain flexible by maintaining the alignment of their business and their infrastructure in a dynamically changing and integrated ecosystem. It has been widely recognized that the enterprise architecture as well as the process driven approaches provide tools used by organizations to explain how business, resources and other elements within the organization are related to each other. This article discusses the role, and associated value, that the enterprise architecture and process driven approach have when describing what constitutes the enterprise. At the same time it elaborates on principles and constructs of the model of the holistic layer of the enterprise architecture on the basis of process driven approach. The proposed model aims to combine a unified view on infrastructure and behavior of the enterprise with lean principles in order to identify and focus on key elements of the enterprise.
In recent years, enterprise architecture (EA) has captured growing attention as a means to systematically consolidate and interrelate diverse IT artefacts in order to provide holistic decision support. Since the emergence of Service-Oriented Architecture (SOA), many attempts have been made to incorporate SOA artefacts in existing EA frameworks. Yet the approaches taken to achieve this goal differ substantially for the most commonly used EA frameworks to date. This paper investigates and compares five widely used EA frameworks in the way they embrace the SOA paradigm. It identifies what SOA artefacts are considered to be in the respective EA frameworks and their relative position in the overall structure. The results show that services and related artefacts are far from being well-integrated constructs in current EA frameworks. The comparison presented in this paper will support practitioners in identifying an EA framework that provides SOA support in a way that matches their requirements and will hopefully inspire the academic EA and SOA communities to work on a closer integration of these architectures.
A measurement model to analyze the effect of agile enterprise architecture on geographically distributed agile development
Efficient and effective communication (active communication) among stakeholders is thought to be central to agile development. However, in geographically distributed agile development (GDAD) environments, it can be difficult to achieve active communication among distributed teams due to challenges such as differences in proximity and time. To date, there is little empirical evidence about how active communication can be established to enhance GDAD performance. To address this knowledge gap, we develop and evaluate a measurement model to quantitatively analyze the impact of agile enterprise architecture (AEA) on GDAD communication and GDAD performance. The measurement model was developed and evaluated through developing the AEA driven GDAD model and associated measurement model based on the extensive literature review, model pre-testing, pilot testing, item screening, and empirical evaluation through a web-based quantitative questionnaire that contained 26 different weighted questions related to the model constructs (AEA, GDAD active communication, and GDAD performance). The measurement model evaluation resulted in validated research model and 26 measures: 7 formative items for AEA, 5 reflective items for communication efficiency, 4 reflective items for communication effectiveness, 2 reflective items for each on-time and on-budget completion, and 3 reflective items for each software functionality and quality. The results indicate the appropriateness and applicability of the proposed measurement model to quantitatively analyze the impact of AEA on GDAD communication and performance.
Business IT Alignment is considered an enduring topic in academic and practitioners’ literature. The interest in the subject is justified by the link, demonstrated by several studies, between alignment and corporate performances. However, alignment research has not yet been translated into practices, theoretically demonstrated in literature and applied to companies. The interpretation of alignment as a function of independent factors and the underestimation of the complex nature of alignment process are considered key barriers in alignment achievement. The present study is based on a multi-case study analysis carried out in two companies that implemented alignment processes. We conceptualise alignment as a co-evolution process and derive four mechanisms and three types of parameters and explain their role in alignment implementation. The contribution is theoretical, since we analyse and describe mechanisms and factors that govern alignment, and for the practitioners, since knowledge of these mechanisms is precondition for an effective alignment implementation.
Enterprise Architecture approaches are used to provide rigorous descriptions of the organization-wide environment, manage the alignment of deployed services to the organization's mission, end ensure a clear separation of the concerns addressed in an architecture. Thus, an effective Enterprise Architecture approach assists in the management of relations and dependencies of any components of the organization environment and supports the integration and evolution of the architecture. However, the quality of that approach is strongly influenced by the precision of the architecture context description, a fact which is not always recognized. This paper focuses on the architecture context description and addresses the gap between the stakeholders'concerns and the resulting architecture. Based on a combination of established references and standards, we show how an explicit integration of the architecture context into the architecture model improves the linking of concerns and key elements of the architecture vision. We apply our approach to a subject of increasing concern in the Information Systems area: longevity of information. Digital preservation is an interdisciplinary problem, but existent initiatives address it in a very domain-centric way, making it impossible to integrate documented knowledge into an overall organization architecture. We analyze several references and models and derive a description of the architecture context and a capability model that supports incremental development through an explicit distinction between systems and their capabilities. The presented approach allows not just any organization to assess their current digital preservation awareness and evolve their architectures to address this challenge, but in particular demonstrates the added value of an explicit architecture context model in an Enterprise Architecture approach.
Enterprise architecture (EA) model analysis can be defined as the application of property assessment criteria to EA models. Ontologies can be used to represent conceptual models, allowing the application of computational inference to derive logical conclusions from the facts present in the models. As the actual common EA modelling languages are conceptual, advantage can be taken of representing such conceptual models using ontologies. Several techniques for this purpose are widely available as part of the semantic web standards and frameworks. This paper explores the use of the aforementioned techniques in the analysis of enterprise architecture models. Namely, two techniques are used to this end: computational inference and the use of SPARQL. The aim is to demonstrate the possibilities brought by the use of these techniques in EA model analysis.
Recent work on the fundamental processes of regulation in biology (Ashby, 1956) has shown the importance of a certain quantitative relation called the law of requisite variety. After this relation had been found, we appreciated that it was related to a theorem in a world far removed from the biological—that of Shannon on the quantity of noise or error that could be removed through a correction-channel (Shannon and Weaver, 1949; theorem 10). In this paper I propose to show the relationship between the two theorems, and to indicate something of their implications for regulation, in the cybernetic sense, when the system to be regulated is extremely complex. Since the law of requisite variety uses concepts more primitive than those used by entropy, I will start by giving an account of that law.
Assessment of Enterprise Architecture Implementation Capability and Priority in Public Sector Agency
The objective of this study is to assess the capability and priority for Enterprise Architecture (EA) implementation in the context of Malaysian public sector agency. This study uses the Analytic Hierarchy Process (AHP) based on the judgments and opinions of EA team members from three different agencies at federal level. There are 27 assessment criteria which are grouped into six categories, Internal Process, Learning and Growth, Authority Support, Cost, Technology and Talent Management. The top capability of all cases is Internal Process and the top criteria for priority assessment is Authority Support. From the findings it can be concluded that AHP is a useful and cost effective method to assess, priorities and plan for EA implementation. Addressing the capability and priority criteria will ensure the optimum EA is implemented thus it shall reduce the risk of EA implementation failure.
Enterprise architecture (EA) is widely employed to reduce complexity and to improve business–information technology (IT) alignment. Despite the efforts by practitioners and academics in proposing approaches to smoothen EA development, it is not easy to find a fully successful EA. Because EA development is a complex endeavour, it is important to understand the obstacles that practitioners face during EA development. With the grounded theory, we studied how obstacles during EA development emerged from practitioners’ point of view in 15 large enterprises. The study identifies lack of communication and collaboration as the core obstacle that can explain many other obstacles. Communication and collaboration were also harmed by other perceived EA development obstacles, including lack of knowledge and support inside organization and issues imposed by external parties, hesitation in training personnel, setting too ambitious goals, constant change of management, (lack of) clarity in EA development process, lack of budget, forcing personnel to adopt EA, lack of motivation, organizational culture, and organizational structure deficiencies. The lack of communication and collaboration caused several undesired effects to organizations, such as being unable to set common goals and achieve a shared understanding, personnel’s distrust, endangered EA governance, lack of innovation capability, lost competitive edge, and ineffective EA outputs. The study highlights that organisations should improve their communication and collaboration before embarking on EA to encounter fewer obstacles. We provide four recommendations for practitioners to improve communication and collaboration in EA development.
In the current business era, it is crucial for an organization to understand the rapidly changing environment of today. To swiftly respond to the changing environment, an organization must provide enterprise integration (EI) not only internally, but also externally, with its customers and suppliers. Many approaches and technologies have been proposed to facilitate EI - however, due to its complexity, integration has remained a continuous challenge in organizations. One of the major integration obstacles is maintaining architectural descriptions of the organization. Architectural descriptions, or Enterprise Architecture (EA), provides a comprehensive view of all the organizational entities and their relationships to achieve an organization’s strategic goals. Many studies have referred to EA as a solution to facilitate EI in organizations. However, developing EA is not easy to achieve. This PhD dissertation aims to facilitate integration projects by approaching EA obstacles from a social and organizational perspective. The main research question is What is the role of EA and its obstacles in EI? A qualitative and interpretive research approach is applied in this dissertation. The data was collected through interviews with practitioners from 17 large organizations and analyzed using the Grounded Theory method. The study first investigates the EI obstacles and identifies EA maintenance as a major obstacle in EI projects. After identifying the EA obstacles, the dissertation further investigates them to understand the issues in EA development that prevent EA from being efficient. By investigating the obstacles in EA development, this research shows that if not addressed properly beforehand, the obstacles follow EA through the development process. Most of the identified obstacles are social and organizational issues. The results indicate a ‘lack of communication and collaboration’ as the root obstacle in EA development that can address most of the other obstacles. Revisiting the data from a communication and collaboration point of view, the results reveal ‘organizational culture’ and ‘clarity in EA development process’ as additional causes of the lack of communication and collaboration in EA development. Furthermore, ‘personnel’s distrust’ and ‘organization loses its competitive edge’ are identified as additional effects of the lack of communication and collaboration in EA development. Finally, this study provides some recommendations to facilitate EA development for researchers and practitioners.
The article provides an overview of the challenges and the state of the art of the discipline of Enterprise Architecture (EA), with emphasis on the challenges and future development opportunities of the underlying Information System (IS), and its IT implementation, the Enterprise Information System (EIS). The first challenge is to overcome the narrowness of scope of present practice in IS and EA, and re-gain the coverage of the entire business on all levels of management, and a holistic and systemic coverage of the enterprise as an economic entity in its social and ecological environment. The second challenge is how to face the problems caused by complexity that limit the controllability and manageability of the enterprise as a system. The third challenge is connected with the complexity problem, and describes fundamental issues of sustainability and viability. Following from the third, the fourth challenge is to identify modes of survival for systems, and dynamic system architectures that evolve and are resilient to changes of the environment in which they live. The state of the art section provides pointers to possible radical changes to models, methodologies, theories and tools in EIS design and implementation, with the potential to solve these grand challenges.
This paper suggests a new type of enterprise models called fractal enterprise models (FEM), with accompanying methodological support for their design. FEM shows interconnections between the business processes in an enterprise by connecting them to the assets they use and manage. Assets considered in the model could be tangible (buildings, heavy machinery, etc.) and intangible (employees, business process definitions, etc.). A FEM model is built by using two types of patterns called archetypes: a process-assets archetype that connects a process with assets used in it, and an asset-processes archetype that connects an asset with processes aimed to manage this asset (e.g., hiring people, or servicing machinery). Alternating these patterns creates a fractal structure that makes relationships between various parts of the enterprise explicit. FEM can be used for different purposes, including finding a majority of the processes in an enterprise and planning business change or radical transformation. Besides discussing FEM and areas of its usage, the paper presents results from a completed project in order to test the practical usefulness of FEM and its related methodological support.
Using Structural Coupling Approach for Defining and Maintaining Identity of an Educational Institution. Experience Report
This paper presents an ongoing study on defining and maintaining organizational identity of an institution of higher education, such as a department or school. The theoretical background used in the study is the concept of structural coupling that comes from biological cybernetics. The study concerns the authors own department. The paper presents proposals of to which elements of the environment such an institution is structurally coupled and how the identity maintenance is arranged. The paper provides examples of how maintaining identity works or not works in practice based on reflections on the authors' experience of working in their own department. It also shows that maintaining identity may requires changes in different components of the socio-technical system, e.g. methods, people, technology.
Government agencies need to transform the way in which they are organized in order to be able to provide better services to their constituents and adapt to changes in legislation. Whereas much e-government research has a technology focus, our goal is to investigate whether business architectures can help governments to recreate agencies to make them robust in dealing with political preferences, and further, whether their adoption can guide the realization of IT-oriented enterprise architectures. In this article the concept of business architecture and its implications are analyzed by investigating the case study of the Dutch Immigration and Naturalization Services. The case demonstrates the mediating role business architectures can play between policy and strategy on the one hand, and enterprise IT architecture on the other. Business architectures help: (1) to define business domains and the events connecting them, and (2) to use principles to integrate the domains and ensure synergies. Business domains can be designed and operated independently, which enable higher levels of adaptability. Our case analyses show that the pluriformity of the political visions, public values, and actors involved and the division of responsibilities complicate the creation of a business architecture.
Historically, Industrial Automation and Control Systems (IACS) were largely isolated from conventional digital networks such as enterprise ICT environments. Where connectivity was required, a zoned architecture was adopted, with firewalls and/or demilitarized zones used to protect the core control system components. The adoption and deployment of Internet of Things (IoT) technologies is leading to architectural changes to IACS, including greater connectivity to industrial systems. This paper reviews what is meant by Industrial IoT (IIoT) and relationships to concepts such as cyber-physical systems and Industry 4.0. The paper develops a definition of IIoT and analyses related partial IoT taxonomies. It develops an analysis framework for IIoT that can be used to enumerate and characterise IIoT devices when studying system architectures and analysing security threats and vulnerabilities. The paper concludes by identifying some gaps in the literature.
Seeking to Control Enterprise with Architecture: the Limits and Value of an Engineering Approach From the Perspective of an Enterprise Architect
In this (DMan) thesis, I challenge assumptions underlying my discipline of enterprise architecture that led to two choices facing practitioners: either to work with tools and techniques which predict and control changes towards predetermined ends or to accept informal processes that are unpredictable and wasteful. Orthodox enterprise architecture defines an enterprise as an organisation, which is a system, and prescribes methods that seek to provide control over the transformation of an organisation into a desired state of affairs by achieving complete knowledge of the system before initiating the desired transformation. Drawing on complexity sciences, I offer a different perspective on organisation and claim that organising what we do is an aspect of doing what we do. Organising is process. I furthermore claim that the people who are organising what we do can act spontaneously and surprise both themselves and others, but often they act habitually. Habitual ways of acting allow us to anticipate to some extent how others are likely to respond to us and, as we grow up, we learn how to behave ourselves, that is, how to adjust our behaviour to what we judge socially acceptable to increase the likelihood of being able to garner support and collaboration. I posit that social control is exercised in this way as mutual self-adjustment that forms what is normal and valued conduct. In other words, our shared social norms and values thus paradoxically and simultaneously form individuals and their conduct and are formed by individuals and their conduct. I claim that in this way we have partial, but never full, knowledge of how others generally respond to certain behaviour of ours. We can ever have only partial knowledge of that which is—in the words of Mannheim—in the process of becoming. I therefore reject the central assumptions upon which orthodox enterprise architecture is based. In organisations, we engineer and exploit mechanical mechanisms that can conduct certain action more effectively and efficiently than people can. Materiality, objects in the world, can resist attempts to shape them to suit our needs but do so without intentionality or spontaneity. Accommodating material resistance is thus repeatable. Enterprise architecture as a discipline grew out of engineering of physical mechanisms and assumes a similar repeatability and predictability when working with the social, which I find to be an unwarranted assumption. I argue against the claim of orthodox enterprise architecture that we can bring about a pre-determined state in a controlled fashion and against the claim that without such control we have informal processes that are inevitably unpredictable and wasteful. I posit that what emerges is paradoxically stable instabilities of socially enabled and constrained recognisable patterns of behaviour. When devising a mechanism in a physical object, such as a software programme, a repertoire of scripted action is transcribed into it which remains constant until transcription is renewed. Transcription has a tendency to render action less fluid. Some members of an organisation may judge particular scripted action to be awkward or detrimental while others may judge the same scripted action to be efficient and beneficial. Thus, determining which scripted action to transcribe into mechanisms is a highly political decision which attracts the attention of skilful political players. Enterprise architects can have a valuable role to play, since we have a better than average partial knowledge about technology, and since technology is increasingly important for many enterprises. I posit that becoming more aware of power and power plays, developing a feel for the game, and becoming more detached about our involvement will allow us to play into what is emerging socially with more political awareness and expertise.
Enterprise architecture management (EAM) has long been propagated in research and practice as an approach for keeping local information systems projects in line with enterprise-wide, long-term objectives. EAM literature predominantly promotes strictly governed and centralized coordination mechanisms to achieve the promised alignment contributions. Notwithstanding the increasing maturity levels in practice, organizations still struggle with the successful establishment of EAM, mainly due to the inherent challenges of a firmly centralized approach in complex organizational settings. This study opts for cooperative learning as a theoretical lens to afford a distinctive, non-centralized conceptualization of EAM. We empirically demonstrate EAM as a stage-wise learning process in which knowledge acquisition and cooperative interactions among individuals contribute to project performance on the local level. Projects that benefit from this particular learning process, in turn, are found to significantly leverage enterprise-wide performance.
Enterprise architecture is concerned with the fundamental organization of the operating environment of an enterprise. The enterprise architecture is used to plan and control the construction of the systems that populate the operating environment. As the scope covered can be considerable in large enterprises, introducing domain architectures to partition and detail the enterprise architecture is a plausible approach. We formulate prescriptive criteria that consistent domain architectures must meet. By integrating the creation of domain architectures into an extended strategic alignment model we develop a theory that accounts for both the creation, scope-setting and detailing. Based on the creation viewpoint we derive a multi-level classification taxonomy. The primary differentiator is that between domains that are created from business usage viewpoints and those that are created from solution construction viewpoints. Four cases of domain architectures from actual practice are described that illustrate the variety encountered. Domain classifications in all cases conform to the theoretical model. The criteria, the developed theory and the cases have both academic relevance as well as significance for practitioners.
Digital computers have transformed work in almost every sector of the economy over the past several decades. We are now at the beginning of an even larger and more rapid transformation due to recent advances in machine learning (ML), which is capable of accelerating the pace of automation itself. However, although it is clear that ML is a general purpose technology, like the steam engine and electricity, which spawns a plethora of additional innovations and capabilities, there is no widely shared agreement on the tasks where ML systems excel, and thus little agreement on the specific expected impacts on the workforce and on the economy more broadly. We discuss what we see to be key implications for the workforce, drawing on our rubric of what the current generation of ML systems can and cannot do [see the supplementary materials (SM)]. Although parts of many jobs may be suitable for ML (SML), other tasks within these same jobs do not fit the criteria for ML well; hence, effects on employment are more complex than the simple replacement and substitution story emphasized by some. Although economic effects of ML are relatively limited today, and we are not facing the imminent end of work as is sometimes proclaimed, the implications for the economy and the workforce going forward are profound.
A number of approaches towards Enterprise Architecture (EA) management is proposed in literature, differing in the underlying understanding of the EA as well as in the description of the function for performing EA management. These plurality of methods and models should be interpreted as an indicator of the low maturity of the research area. In contrast, some researchers see it as inevitable consequence of the diversity of the enterprises under consideration. Staying to this interpretation, we approach the topic of EA management from a cybernetic point of view. Thereby, we elicit constituents, which should be considered in every EA management function based on a viable system perspective on the topic. From this perspective, we further revisit selected EA management approaches and show to which extent they allude to the viable system nature of the EA.
Enterprise architecture (EA) frameworks offer principles, models, and guidance to help one develop an EA program. Due to EA's flexible and abstract nature, there is a proliferation of EA frameworks in practice. Yet, comparison studies to make sense of them are far from satisfactory in that they lack a theoretical foundation for comparison criteria and do not meaningfully interpret the differences. In this paper, I propose a comparison approach using EA essential elements—the underlying key features of EA programs—to distinguish EA frameworks. Based on the extant literature, I identify eight elements, each with its own theoretical justification and empirical evidence. I illustrate how to use these elements to evaluate eight popular EA frameworks. The results show three ideal types of EA frameworks: technical, operational, and strategic EA. Each type has a different focus, set of assumptions, and historical context. The essential elements offer a more systematic way to evaluate EA frameworks. In addition, they shift attention from the maturity models often used in EA development to focus on particular EA elements being implemented by organizations.
Institutionalization of Contested Practices: A Case of Enterprise Architecture Implementation in a US State Government
Information Systems (IS) practices are often ‘institutionally contested’ when introduced into organizations. They run counter to the status quo and disrupt organizational stability. Furthermore, they contravene the normative, regulatory, and cultural-cognitive legitimacy in existing institutionalized processes. This research explores contested practices, examining the struggles and techniques IS organizations use to legitimize and institutionalize them. Using an institutional change and translation perspective, we investigate a case of Enterprise Architecture (EA) implementations in a US state government, highlighting the struggles in translating new practices to connect to potential users and in connecting new practices to existing norms, regulations, and cultural values. We elucidate two key techniques to overcome these struggles: inductive communication to make new practices relatable to users, and the deployment of experts to local contexts to facilitate knowledge transfer. The research shows how institutional change unfolds and informs practitioners of how to legitimize EA practices.
The design of a complex regulator often includes the making of a model of the system to be regulated. The making of such a model has hitherto been regarded as optional, as merely one of many possible ways. In this paper a theorem is presented which shows, under very broad conditions, that any regulator that is maximally both successful and simple must be isomorphic with the system being regulated. (The exact assumptions are given.) Making a model is thus necessary. The theorem has the interesting corollary that the living brain, so far as it is to be successful and efficient as a regulator for survival, must proceed, in learning, by the formation of a model (or models) of its environment.
The original article defining Conway's Law, which states: Organizations which design systems are constrained to produce system which are copies of the communication structures of these organizations.
The purpose of this research is to examine why organizations with similar objectives and environments at the beginning obtain different outcomes when implementing enterprise architecture (EA) projects and how EA institutionalization process occurs. We conduct a qualitative multiple-case study using the lens of institutional theory through the analysis of intra-organization relations. The results show that the institutional logic of stakeholders can drive EA projects in different directions during the process of EA institutionalization, and thus organizations obtain different project outcomes ultimately. We contribute by extending the knowledge on EA institutionalization from a micro-level perspective, understanding and explaining how the organizational structure was shaped and influenced by stakeholders’ relations, as well as providing insight into stakeholders’ behaviors and activities during the process of EA institutionalization so that practitioners may improve the success rate of EA projects, particularly in the public sector.
Enterprise architecture (EA) is an approach to improve the alignment between the organization’s business and their information technologies. It attempts to capture the status of the organizations’ business architecture, information resources, information systems, and technologies so that the gaps and weaknesses in their processes and infrastructures can be identified, and development directions planned. For this reason, EA has become a popular approach also in the public sector to increase their efficiency and ICT utilization. Yet researchers have largely ignored this context, and it seems that quite little is known about how EA is developed, implemented, or adapted in different countries and in the public sector. We thus conducted a systematic literature review to identify the major research topics and methods in studies focusing on public sector EA. We analyzed 71 identified articles from the past 15 years. Our analysis shows that the development viewpoint, case studies in developed countries, and local settings seem to form mainstream EA research in the public sector. Taken together, it seems that public sector EA is scattered, and there is no strong, single research stream. Instead the researchers conduct local case studies. This means the knowledge on EA development, implementation or adaptation, their challenges and best practices does not accumulate. There is consequently a need for more research in general, and targeted research in some specific segments.
The pervasive diffusion of Information and Communication technologies (ICT) and automation technologies are the prerequisite for the preconized fourth industrial revolution: the Industry 4.0 (I4.0). Despite the economical efforts of several governments all over the world, still there are few companies, especially small and medium enterprises (SMEs), that adopt or intend to adopt in the near future I4.0 solutions. This work focus on key issues for implementing the I4.0 solutions in SMEs by using a specific case example as a test bench of an Italian small manufacturing company. Requirements and constraints derived from the field experience are generalised to provide a clear view of the profound potentialities and difficulties of the first industrial revolution announced instead of being historically recognised. A preliminary classification is then provided in view to start conceiving a library of Industry 4.0 formal patterns to identify the maturity of a SME for deploying Industry 4.0 concepts and technologies.
A Systematic Literature Review to Understand Cross-organizational Relationship Management and Collaboration
An increasingly dynamic, unpredictable and challenging environment leads organizations to cross their own borders and establish partnerships to other organizations for remaining competitive. This cross-organizational relationship allows participating organizations to share resources with each other and collaborate to better handle an identified opportunity for joint work. However, besides having a mutual or compatible goal, it is common that these organizations face several challenges during the partnership. The present research aims to explore the cross-organizational relationship management. To this end, this paper outlines the systematic literature review performed to understand the collaboration and relationship establishment between different organizations and organize an ICT related body of knowledge about the topic. A discussion about the findings, challenges and open issues identified from the retrieved literature is also provided to guide further work.
In the digital age, many firms find the pace of change in their industry is increasing. New competitors emerge from previously unrelated industries and innovative digital business models can quickly disrupt well-established market dynamics. Such jolts in the competitive landscape require existing players to be continually innovating while also “keeping the lights on” to maintain existing revenue streams. This paper reviews the IS literature on ambidexterity – the ability to simultaneously pursue strategies of resource exploration and exploitation – and advances a theoretical model for embedding innovative business models into existing organizational routines. It contributes to the literature by reconciling the structural and contextual views of ambidexterity through introducing a dynamic ambidexterity framework. This approach proposes ambidexterity as a dynamic capability which requires differing mechanisms in the initiation and implementation phases of innovation.
From Enterprise Architecture to Business Ecosystem Architecture: Stages and challenges for extending architectures beyond organizational boundaries
Today, Enterprises act in an increasingly interconnected world and in different kinds of collaborative networks. They are part of business ecosystems in which they interact with their customers, partners and competitors. The processes of analyzing and planning the intertwinement of business and IT architecture within enterprises has been successfully supported by enterprise architecture management (EAM) approaches. In this paper, we analyze four cases from different industries (health care, logistics, retail, and education) and argue that the intra-organizational concepts of enterprise architectures (EA) and EAM need to be extended to grasp the challenges of the enterprises’ interconnectedness. Beyond the known concepts of extended enterprise architecture and federated architectures, we define five stages of extended architectures. Additionally, we describe challenges and existing solutions, which are relevant for this extended perspective.
Business ecosystems are gaining more relevance both in research and in practice. The analysis of business ecosystems is thereby a data intense process. To better understand the current state-of-the-practice within enterprises addressing the analysis of business ecosystem we conducted an online survey asking participants about their division of labor, collection, documentation and processing of business ecosystem related data. 52 experts from mainly German based companies completed the questionnaire stating, inter alia, that the main data sources in use are internal company information sources and online search engines, and additionally that the time-consuming process of collecting and documenting business ecosystem related information is perceived as a major challenge in the context of business ecosystem analysis.
Enterprises develop, produce, and distribute their products and services nowadays in complex and increasingly digital business ecosystems consisting of business partners, suppliers, competitors, start-ups, public institutions, and costumers. These business ecosystems exhibit a high dynamic: new actors enter and leave the ecosystem continuously. Thus, for enterprise business and IT strategy the knowledge about and active design of the business ecosystems are gaining more relevance. Various stakeholders within the enterprise need to collaborate to achieve a holistic understanding of the ecosystem, all with different requirements towards the ecosystem model. As visualizations have proven to support stakeholders in fulfilling their ecosystem related tasks, the aim of this research project is the modeling and visualizing of business ecosystems addressing the identified challenges.
Organizational Subcultures and Enterprise Architecture Effectiveness: Findings from a Case Study at a European Airport Company
This paper studies how organizational subcultures influence the effectiveness of the enterprise architecture (EA) function. It provides findings from a case study in a European airport company. We find specific subcultural differences that can lower EA effectiveness. In addition, we discover that not only subcultural differences but also subcultural similarity can reduce EA effectiveness. For instance, the preference for working isolated of some business departments results in a lack of communication between those departments, which lowers EA effectiveness. Also, our data suggest that the subcultural influence is indirect. We identify, amongst others, communication defects as an important intermediary variable.
The Zachman framework is considered to be the most referenced framework for the purpose of enterprise architecture. It is commonplace to compare other frameworks with this basic one in order to show correctness and usability of those frameworks. However, this is more than a fashion, the Zachman framework is actually the best one. Despite of its popularity, the Zachman framework could be a challengeable one in practical situations because there are not enough well-known methods and tools covering all of its aspects. Three major challenges in using this framework, are discussed in this article. These challenges are lack of a methodology, a well-defined repository and a popular modeling notation. Focus of this article is on solving the last problem with the help of notations in UML (Unified Modeling Language) and UML Business Profile. At the first glance the topic seems to be already researched by others, but there are some major distinctions between this work and the others', which make it a unique one. Most of the other work tried to cover the framework using multiple class diagrams stereotyped in different ways. This work tries to cover the Zachman framework using all of the UML features, especially those, which are convenient in common modeling tools as well as ignoring unfamiliar symobls as it is used by some authors. A case study is used upon which we show how to apply the selected notation on a sample enterprise to develop cells in second and third rows of the framework. Models are tested to consider if they are supporting Zachman rules governing the framework. Furthermore, in order to see if they could be convincing enough, a statistical study is employed. Although results of these tests are relatively acceptable, the problem of inventing new modeling notations is mentioned as an open problem.
Ecosystem-inspired enterprise modelling framework for collaborative and networked manufacturing systems
Rapid changes in the open manufacturing environment are imminent due to the increase of customer demand, global competition, and digital fusion. This has exponentially increased both complexity and uncertainty in the manufacturing landscape, creating serious challenges for competitive enterprises. For enterprises to remain competitive, analysing manufacturing activities and designing systems to address emergent needs, in a timely and efficient manner, is understood to be crucial. However, existing analysis and design approaches adopt a narrow diagnostic focus on either managerial or engineering aspects and neglect to consider the holistic complex behaviour of enterprises in a collaborative manufacturing network (CMN). It has been suggested that reflecting upon ecosystem theory may bring a better understanding of how to analyse the CMN. The research presented in this paper draws on a theoretical discussion with aim to demonstrate a facilitating approach to those analysis and design tasks. This approach was later operationalised using enterprise modelling (EM) techniques in a novel, developed framework that enhanced systematic analysis, design, and business-IT alignment. It is expected that this research view is opening a new field of investigation.
Companies willing to survive the numeric economy are forced to collaborate with each other in order to maximize their co-creation of value. This co-creation exists for many reasons: to sell and acquire information, goods and services, to optimize the quality of procedures, to improve security and privacy, etc. In this paper, we analyze and model value co-creation through three dimensions: the value's nature, the method of value creation, and the business object impacted by the value. By combining these dimensions, we afterwards suggest different types of co-creation schemas, and we propose an abstract language to communicate them. The latter is finally validated by applying the The Physics of Notations guidelines.
In an increasingly digitized environment, enterprises face new challenges. Enabled by ubiquitous Internet accessibility, people, places, and products have become more interconnected and are gradually merging into the Internet of Everything. Simultaneously, a new generation of connected customers is emerging that is establishing new requirements for the capabilities of enterprises to communicate, interact, and respond to unforeseen events. As customer satisfaction is the central source of future competitiveness, companies must initiate a transformation towards a connected enterprise. By analyzing the characteristics of the connected customer, this paper presents guidelines for enterprises to address customer needs adequately and manage their operations in the Internet of Everything. Building upon established enterprise architecture frameworks, we apply a Design Science Research procedure to derive four practical recommendations. Thus, enterprises must manage their business processes holistically, implement information systems and standards for data exchange, provide mechanisms for real-time business intelligence, and determine their optimal degree of connectivity.
Organisations increasingly understand that meeting their sustainability ambitions does not only require new technologies, but innovation on the business model level. To facilitate the design of more sustainable business models, a range of new tools and techniques have been developed. While this resulted in the design of a wide range of promising business models, only very few are successfully implemented. The Cambridge Business Model Innovation Process is a framework developed to guide organisations’ business model innovation efforts and map the necessary activities and potential challenges. In this paper, we introduce the framework and present an exploratory attempt of applying it to a social start-up. The preliminary result of this experience led us to build a comprehensive research agenda that aims at developing tools and processes to help organisations in bridging the design-implementation gap in sustainable business model innovation.
We investigated contextual organizational ambidexterity, defined as the capacity to simultaneously achieve alignment and adaptability at a business-unit level. Building on the leadership and organization context literatures, we argue that a context characterized by a combination of stretch, discipline, support, and trust facilitates contextual ambidexterity. Further, ambidexterity mediates the relationship between these contextual features and performance. Data collected from 4,195 individuals in 41 business units supported our hypotheses.
The purpose of this article is an attempt to develop the concept of a business model dedicated to companies implementing technologies of the Industrial Internet of Things. The proposed concept has been developed to support traditional companies in the transition to the digital market. The study was based on the available literature on the impact the Industrial Internet of Things has on the economy and business models.
Agile enterprise architecture: a case of a cloud technology-enabled government enterprise transformation
Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technology-enabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation.
Agile development practices focus on developing and delivering working software systems in small iterations with minimal documentation. However, locally project focused agile practices overlook the need for holistic enterprise architecture. Lack of enterprise architecture in agile, especially in the large agile environments, may lead to a number of problems such as technical debt, unnecessary re-work, inconsistent communication, locally focused isolated architecture, design and implementation. There is a missing link between the enterprise architecture and agile development. Enterprise architecture is a strategic capability that should enable and enhance agility of agile development. However, organisations are not sure how best to approach strategic enterprise architecture capability for supporting agile development. This paper proposes and demonstrate the applicability of an integrated adaptive enterprise architecture driven agile development approach for large agile environments.
Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05). Over the past decades, large organisations have developed increasingly complex portfolios of information systems to support business processes. Maintenance and leveraging of these so-called system complexes have become a major challenge to many executive boards. The challenge is even bigger for organisations that are the result of mergers. The question arises whether, from both an operational and a strategic perspective, it would be feasible to migrate to a single (new) system complex. In this paper, we describe the 'picture approach', a method for analysing, redesigning and combining system complexes in information-intensive organisations. The method was applied successfully in three cases (insurance companies), all operating multiple system complexes. The method consists of mapping an organisation's information systems and showing their roles in the business processes. The picture approach is evaluated in three ways, one of which is a comparison with design principles for process modelling in Enterprise Application Integration.
Internet of Things (IoT) will change many things, open up opportunities and enabling something that was not possible before. IoT provides sensing capability so that enterprise has better global context awareness. This is the Sensing Enterprise, an enterprise that obtains multidimensional information from physical or virtual objects in a connected environment. This sensing capability is expected to increase the capacity and capability of the enterprise in responding to sustainability challenges. This paper proposes a research framework as an alternative guide for researchers to produce various artifacts or theories to realize The Sensing Enterprise for sustainability achievement. The method used in developing the framework is modification/adaptation of transdisciplinary research model and information system research model. This framework has three main area consist of scientific base, enterprise architecture research process and sustainability achievement.
Enterprise architecture is practiced in different ways, and there are different types of enterprise architects with quite different roles. This paper looks closer at the role of enterprise architects and the importance of the enterprise architects’ understanding of boundary issues in their practice. The paper suggests that enterprise architects must focus on problem-finding more than problem-solving, and should develop not just more dialectic skills, but also dialogic skills. The paper also argues that the enterprise architects must gain a deeper understanding of the enterprise, and need to start working with other enterprise disciplines.
Business models and business model innovation are increasingly gaining attention in practice as well as in academic literature. However, the robustness of business models (BM) is seldom tested vis-à-vis the fast and unpredictable changes in digital technologies, regulation and markets. The evaluation of the robustness of a BM raises several issues, such as how to describe the business model in a structured way, how to determine a relevant set of changes to test against, how to assess their impact on business model components, and how to use the results of the assessment to strengthen the business model. In this paper, we propose business model stress testing as a practical approach to evaluate the robustness of business model components. The method builds upon concepts from business model innovation and scenario planning. We illustrate our approach using a case example. Our approach enables testing individual business model components as well as the interrelation between components. The approach visualizes challenges and suggests ways to increase the robustness of BM. The stress testing approach is particularly useful in a stage of business model experimentation, i.e. if a company has to choose between alternative business models or still has to implement the business model. The underlying software tool is openly available for reuse and further development. The paper contributes to futures research literature by delivering the first method that allows to test the robustness of business models against future uncertainties.
As a result of growing complexities in business processes, information systems, and the technical infrastructure, a key challenge for enterprise architecture management (EAM) is to guide stakeholders from different hierarchical levels with heterogeneous concerns. EA deliverables, such as models or frameworks, are often highly comprehensive and standardized. However, these can hardly be applied without greater adaption. Although the literature selectively covers approaches for tailoring EA deliverables closer to the concerns of affected stakeholders, these approaches are often vague or not very differentiated. In the paper at hand, we aim at introducing a stakeholder perspective to EAM research that considers stakeholder concerns on EAM across hierarchical levels. To this end, we conduct a case study: Our results show homogenous concerns among stakeholders on EA deliverables. In turn, we found different concerns on the role of EAM in applying these deliverables, dependent on the hierarchical level of stakeholders. These findings stress the necessity for a more differentiated understanding of stakeholder concerns on EAM. Finally, we discuss the implications of our findings for an exemplary EAM approach.
Collaborative Business Process Management - A Literature-based Analysis of Methods for Supporting Model Understandability
Due to the growing amount of cooperative business scenarios, collaborative Business Process Management (cBPM) has emerged. The increased number of stakeholders with minor expertise in process modeling leads to a high relevance of model understandability in cBPM contexts. Despite extensive works in the research fields of cBPM and model understandability in BPM, there is no analysis and comprehensive overview of methods supporting process model understandability in cBPM scenarios. To address this research gap, this paper presents the results of a literature review. The paper identifies concepts for supporting model understandability in BPM, provides an overview of methods implementing these concepts, and discusses the methods’ applicability in cBPM. The four concepts process model transformation, process model visualization, process model description, and modeling support are introduced. Subsequently, 69 methods are classified and discussed in the context of cBPM. Results contribute to revealing existing academic voids and can guide practitioners in cBPM scenarios.
Three core imperatives are essential for modern businesses and organizations: seamless integration of customer and operational processes, agility, and the ability to change. These imperatives are relevant in view of successfully executing strategic choices, but all too often not satisfied. Businesses and organizations are complex adaptive socio-technical systems and can be viewed from two fundamentally different perspectives: the functional (black-box) perspective and the constructional (white-box) perspective. Management and governance of businesses and organizations regard the functional, black-box perspective, which is inherently ill-suited for addressing the imperatives mentioned. It will be argued that establishing system integration, agility and change requires a focus on the system's design, hence necessitates the constructional perspective. The concept of architecture is considered fundamental for operationalizing the constructional perspective. Next to the more familiar notion of technology architecture, the concepts of business, organizational and information architecture are formally introduced and elucidated. Various domains within these architectures will be highlighted, whereby the importance of coherence and consistency is stressed, especially in view of the ability to change. Collectively, the four architectures are labeled Enterprise Architecture. Finally, enterprise architecture will be positioned as a crucial means for linking strategy development and execution.
The Failure of Success Factors: Lessons from Success and Failure Cases of Enterprise Architecture Implementation
Many Enterprise Architecture programmes fail to meet expectations. While much has been written about the factors influencing the success of EA programmes, there are few empirical investigations of the role of critical success factors (CSFs) in the success of EA programmes. This study condensed the very broad literature on CSFs for EA identifying six key CSFs that share a broad consensus in the literature. A qualitative case study was conducted to test the hypothesis that the six key CSFs would distinguish between the successful and the unsuccessful programmes. Analysis of the case study data reveals that three key CSFs associated with the use of EA tools did not distinguish between successful and unsuccessful cases while three key CSFs related to the process of EA programme implementation did so. The study concludes that success in EA programmes comes more from how architecture is practiced than what is practiced. The findings have important implications for EA suggesting that the methodological skills of architects need to be supplemented with an understanding of practice.
Dynamic business environments call for companies’ organizational agility as being able to sense the changes in competitive environments and respond accordingly. A flexible IT environment facilitates this aim but contrasts with the structuration of IT organization through IT governance. We analyze how scaling agile frameworks as blueprints for agile IT organizations solve the contrast between structuration embedded in IT governance and agility. We see converging business and IT in structure and strategy as facilitator for resolving this conflict. In detail, we compare eight scaling agile frameworks on how IT governance is covered, how IT governance decisions are made and whether business IT convergence is achieved. We conclude that IT governance is still predominantly top down decision-making and focuses on traditional business IT alignment instead of business IT convergence. With our analysis, we provide a comprehensive base for organizations to choose from when approaching their specific agility challenges.
Understanding organizations and their needs for new technology has never been more challenging than in today’s high-tech business world. Enterprise managers are required to coordinate with other departmental managers, direct their personnel and solve problems along the way. Communicating new designs to IT for needed applications may not be in the manager’s skillset. When the enterprise grows rapidly or tries to compete in new areas, a set of basic diagrams illustrating common workflows may no longer accurately reflect the complex environment. What is needed is a simple method for illustrating the enterprise as a whole, interoperable structure so managers and workers alike can describe their requirements in the unique vocabulary of their industry. REBAR offers a novel approach for using key strategic and operational business documents, written in natural language, as the basis for the formal enterprise ontology. Popular semantic web standards, including RDF, FOAF and DC, provide generic terms already designed to convey the subject–predicate–object structure of natural language in a social structure. The REBAR enterprise ontology extends these existing standards, thus evolving a socio-technical model of the functional organization distilled directly from existing enterprise documents. REBAR captures the essence of the unique enterprise in a graphical application that can be queried and dynamically recombined to illustrate details of complex workplace collaborations. An enterprise ontology should unite all defined departmental functions authorized by executive enterprise managers. Additionally, findings indicate the REBAR ontology has the potential to provide a reusable structure for linking core social business functions of the enterprise to other explicit enterprise knowledge, including policies, procedures, tech manuals, training documents and project metrics. The REBAR methodology offers evidence that the enterprise is more than the sum of its parts, it is the bridge unifying explicit and tacit knowledge during work projects across the entire enterprise.
Sustainability through Innovations Of Enterprise Architecture (EA) in Public Sector’s Management: Issues and Challenges
Innovations through Enterprise Architecture (EA) require a transformation in public sector’s management. EA has been identified as one of the prime initiatives towards public sector transformation. EA implementation is highly recommended to execute efficient and effective public service delivery. However, building upon several public sector agencies that had implemented these initiatives, EA implementation in Malaysian Public Sector (MPS) was reported as unfavourable. This study aims to identify related issues and challenges towards sustainability of EA implementation. A qualitative research approach was employed in this study. Semi structured interview was held involving five EA experts. From the analysis, six related issues such as (i) absence of the mandate from government to implement EA initiatives (ii) improper EA governance leading to difficulty in managing EA implementation; (iii) absence of EA tool to maintain EA document; (iv) lack of EA awareness (v) lack of EA readiness and (vi) limited knowledge and skills on EA among the team were discerned in sustaining EA practices. With regard to the practical implication, this paper can serve as reference in EA implementation in the public sector.
Many large organizations have on-going Enterprise Architecture initiatives. Key aims include achieving more organizational agility, and to tidy up a messy portfolio of IT silo systems. A holistic approach to IT architecture has been an accepted strategy, but the results of these initiatives have been variable. An under-researched aspect is how different organizational units respond to the call for a holistic approach. In this study, we investigate how different stakeholders connected to three ongoing projects responded to the call for EA. With a qualitative approach, we identify three options of response to EA initiatives: (i) compliance with the EA strategy, (ii) loyal but isolated response, and (iii) rebel solutions. We argue for the need of a more nuanced repertoire of actions for dealing with EA, and show how these responses are useful for understanding and managing successful EA.
Beer's Viable System Model and Luhmann's Communication Theory: 'Organizations' from the Perspective of Meta?Games
Beyond the descriptions of 'viability’ provided by Beer's Viable System Model, Maturana's autopoietic theory or Luhmann's communication theory, questions remain as to what ‘viability’ means across different contexts. How is ‘viability’ affected by the Internet and the changing information environments in a knowledge?based economy? For Luhmann, social systems like businesses are coordination systems that do not ‘live’ as viable systems but operate because they relieve human beings from environmental complexity. We situate Beer's concept of viability with Luhmann's through analyzing the way that ‘decisions’ shape organizations in an information environment. Howard's (1971) meta?game analysis enables us to consider the ‘viable system’ as an ‘agent system’ producing utterances as moves in a discourse game within the context of its information environment. We discuss how this approach can lead to an accommodation between Beer's practical orientation and Luhmann's sociological critique where the relationship between viability, decision and information can be further explored.
Enterprise Architecture (EA) is considered as a solution to reduce IT implementation failure, improve profitability and enhance business-IT alignment within organizations. However, explanations and evidence of EA benefits and success factors in the existing literature are still limited. Therefore, this study aims to explore how EA creates value to organizations through a qualitative study employing interviews with EA experts. This study contributes to the current knowledge of EA by providing a validated list of EA benefits and success factors. The study identified 40 EA benefits that are grouped into five categories (operational, managerial, strategic, IT infrastructure and organizational) and thirty-seven EA success factors categorized into product quality, infrastructure quality, service delivery quality and organizational anchoring. This study offers a number of implications for research and practice.
Beyond Business-IT Alignment - Digital Business Strategies as a Paradigmatic Shift: A Review and Research Agenda
Since the 1990s, business-IT alignment has been considered the appropriate organizational frame for business and IT strategies. Thereafter, with the rising importance of innovative digital technologies for performance and competitiveness, the concept of digital business strategies (DBS) emerged. The fusion of business and IT strategies is presumed to account for the inevitable transformations that digital technologies triggered. This paradigmatic shift poses new challenges to practitioners and researchers, as current assumptions regarding strategizing processes need to be questioned. This study sets out to provide a structured clarification of the current digital business strategies knowledge base. It provides a threefold contribution by: 1) structuring the research efforts on digital business strategies, 2) uncovering knowledge gaps and 3) developing an agenda for future research.
Eliminating the gap between business and IT within an enterprise, i.e., solving the problem of Business and IT Alignment (BITA), requires an instrument for the multidimensional analysis of an enterprise. Enterprise Modeling (EM) is a practice that supports such analysis and therefore can be used to facilitate BITA. EM serves as a tool that can capture, visualize and analyze different aspects of enterprises. This article presents a framework that describes the role of EM in the context of BITA and presents recommendations in EM for BITA.
Enterprise Architecture (EA) is a set of concepts and practices based on holistic systems thinking, principles of shared language, and the long-standing disciplines of engineering and architecture. EA represents a change in how we think about and manage information technologies (ITs) and the organizations they serve. Many existing organizational activities are EA-type activities, but done in isolation, by different groups, using different tools, models, and vernaculars. EA is about bridging the chasms among these activities, from strategy to operations, and better aligning, integrating, optimizing, and synergizing the whole organization. This article: (1) posits that EA is about the architecture of the entire enterprise including its ITs
The enterprise architecture provides benefits to the organization that utilizes it. However, if the enterprise architecture is not tightly coupled with other enterprise level programs such as investment management and system development process, its overall effectiveness is compromised. This paper will identify the process integration and enterprise architecture touchpoints from the perspective of the investment management process and it outlines an overall Integrated Enterprise Life Cycle process flow. The paper also presents a case study of the implementation of the enterprise life cycle process flow.
Digitization demands a focus on cooperation and collaboration that is unprecedented for most enterprises.What distinguishes companies that have built advanced digital capabilities? The ability to collaborate. MIT Sloan Management Review’s research finds that a focus on collaboration — both within organizations and with external partners and stakeholders — is central to how digitally advanced companies create business value and establish competitive advantage. These companies recognize that digital transformation blurs — and sometimes obliterates — traditional organizational boundaries and demands a focus on cooperation and collaboration that is unprecedented for most enterprises. Based on a global survey of more than 3,500 managers and executives, MIT Sloan Management Review and Deloitte’s third annual report on digital business found that the most digitally advanced companies - those successfully deploying digital technologies and capabilities to improve processes, engage talent across the organization, and drive new value-generating business models - are far more likely to perform cross-functional collaboration. More than 70% of these businesses use cross-functional teams to organize work and charge them with implementing digital business priorities. This compares to less than 30% for organizations in an early stage of digitization.
ICT-enabled business solutions have created a possibility for automated business relations and transactions. Digital business ecosystems are becoming an increasingly popular concept for modeling and building distributed systems in heterogeneous, decentralized and open environments. However, traditional economic and computing theories do not focus on digital business ecosystems as a separate form of organization and they do not provide conceptual frameworks that can be used to explore digital business ecosystems. In this paper, we present a framework for exploring digital business ecosystems developed from Zachman’s enterprise architecture. This framework serves as a structure for exploring the value network and the enterprise as part of a digital business ecosystem.
Analysis is an essential part in the Enterprise Architecture Management lifecycle. An in-depth consideration of the architecture obtains its strengths and weaknesses. This provides a sound foundation for the future evolution of the architecture as well as for decision-making regarding new projects. Current literature provides a large number of different analysis approaches, targeting different goals and utilizing different techniques. To provide a common interface to analysis activities we studied the corresponding literature in previous research. Based on these results we develop a language for the definition of EA analyses as well as an execution environment for their evaluation. To cope with the high variety of meta models in the EA domain, the framework provides a uniform and tool independent access to analysis activities. Additionally it can be used to provide an EA analysis library, where the architect is able to select predefined analyses according to his specific requirements.
The human-made technology that is used by organizations has played a crucial role in enabling humans to accomplish impressive endeavors. Despite the critical importance that organizations (or organizing) have played (and still play) in shaping the modern world, they are a technology that humans know very little about, and are still struggling to design and use adequately. The crux of the problem is that the study of organizations (including their design) does not fit neatly into the boxes that are modern academic disciplines. Another important series of issues concerns conducting multidisciplinary research across the silos of academic discipline. Crossing these silos is especially difficult when trying to cross-pollinate ideas as well as publish because of terminological, political, and social challenges. As such, the ODandEE journal is a necessary and important step in the right direction for addressing these issues by promoting research that is both multidisciplinary as well as oriented towards the proactive stance of design and engineering.
Three schools of thought on enterprise architecture exist, each with its own belief system (definitions, concerns, assumptions, and limitations). A novel taxonomy of these schools creates a starting point for resolving terminological challenges to help establish enterprise architecture as a discipline.
Today, and for the foreseeable future, organizations will face ever-increasing levels of complexity and uncertainty. Many believe that enterprise architecture (EA) will help organizations address such difficult terrain by guiding the design of adaptive and resilient enterprises and their information systems. This paper presents the Grand Challenges that we believe will challenge organizations in the future and need to be addressed by enterprise architecture. As a first step in using enterprise architecture as a solution for overcoming identified challenges, the Zachman Enterprise Architecture Framework is used to guide and structure the discussion. The paper presents the Grand Challenges and discusses promising theories and models for addressing them. In addition, current advances in the field of enterprise architecture that have begun to address the challenges will be presented. In conclusion, final thoughts on the future of enterprise architecture as a research field and a profession are offered.
Benefits and challenges with Enterprise Architecture: a case study of the Norwegian Labour and Welfare Administration
Enterprise Architecture is seen as instrumental to drive the digital transformation in enterprises. It is also important to achieve the benefits from innovative new business models and technologies. Many organisations have therefore undertaken extensive efforts to implement Enterprise Architecture (EA). It is, however, a challenging task to implement enterprise architecture in an organisation. There is also very limited research on this issue related to the public sector. This study explores the implementation of enterprise architecture (EA) in the Norwegian Labour and Welfare Administration - NAV. While the study revealed that NAV had not defined any clear benefits, we found 12 perceived potential benefits. We also uncovered 16 challenges that impeded the EA implementation.
An interoperability assessment approach based on criteria dependencies to support decision making in networked enterprises
In the networked enterprise, the interoperability is seen as a requirement for ensuring the collaboration among partners. Therefore, an assessment for identifying the enterprise's strengths and weakness regarding interoperability is paramount. It involves determining the gaps between where enterprises envision themselves in the future and the enterprises' current states. Indeed, a variety of approaches were proposed in the literature. However, based on surveys, existing methods are assessing specific aspects of interoperability and focusing only on one kind of measurement. The objective of this work is, therefore, to propose a holistic assessment approach to support the interoperability development. To do so, the criteria regarding the interoperability aspects and measurements were identified and are being formalised. The enterprise systems associated with the criteria are being modelled based on Enterprise Architecture techniques. This modelling supports the identification of existing interdependencies between criteria. Finally, case studies will be used to validate the proposed approach.
Future manufacturing is becoming “smart” - capable of agilely adapting to a wide variety of changing conditions. This requires production plants, supply chains and logistic systems to be flexible in design and reconfigurable “on the fly” to respond quickly to customer needs, production uncertainties, and market changes. Service-Oriented Architecture (SOA) provides a promising platform to achieve such manufacturing agility. It has proven effective for business process adaptation. When combined with the emerging Internet of Things (IoT) technology and the concept of cyber-physical production systems, it is expected to similarly revolutionize real-time manufacturing systems. This paper proposes a new concept of cyber-physical manufacturing services (CPMS) for service-oriented smart manufacturing systems. In addition, we propose a modeling framework that provides appropriate conceptual models for developing and describing CPMS and enabling their composition. Specifically, the modeling framework separates service provision models from service request models and proposes the use of standardized functional taxonomies and a reference ontology to facilitate the mediation between service requests and service consumptions. A 3D-printing use case serves as an example implementation of an SOA-based smart manufacturing system based on our proposed modeling framework.
This editorial is concerned with the need for an integrated approach to the design and engineering of organisations and their enterprises. Organisational Design originates from the organisational sciences, while the notion of Enterprise Engineering results from the engineering sciences (most notably information systems engineering, business (process) engineering, business process optimisation, and enterprise architecture). The Organisational Design and Enterprise Engineering journal (ODEE) is built on the premise that there should not be an either-or relation between Organisational Design and Enterprise Engineering, but rather an integrated approach that brings out the best of the two. A driver for the creation of the journal was the observation that the either-or mindset was (and still is) a major obstacle to the development of organisational thinking, and that this artificial divide must be abolished. In achieving more integration between Organisational Design and Enterprise Engineering, we suggest to take a model-enabled approach, where models should act as boundary objects between the social processes involved in organisational design processes, and the more analytical and rational side of enterprise engineering.
This paper presents a number of principles related to the construction and use of enterprise architecture frameworks. These principles are intended to guide the development of a formal foundation for frameworks but also serve as guidance for efforts to enable the interoperability of enterprise models and model components. The principles are drawn from analyses of a number of existing frameworks and from observation of and participation in framework development.
This paper from The MITRE Corporation presents a summary of the range of potential uses of enterprise architectures (EAs), some of the challenges facing the users of EAs, and practical approaches for developing them incrementally over time to provide “just in time” utility to decision makers.
An integrated conceptual model for information system security risk management supported by enterprise architecture management
Risk management is today a major steering tool for any organisation wanting to deal with information system (IS) security. However, IS security risk management (ISSRM) remains a difficult process to establish and maintain, mainly in a context of multi-regulations with complex and inter-connected IS. We claim that a connection with enterprise architecture management (EAM) contributes to deal with these issues. A first step towards a better integration of both domains is to define an integrated EAM-ISSRM conceptual model. This paper is about the elaboration and validation of this model. To do so, we improve an existing ISSRM domain model, i.e. a conceptual model depicting the domain of ISSRM, with the concepts of EAM. The validation of the EAM-ISSRM integrated model is then performed with the help of a validation group assessing the utility and usability of the model.
For most companies today, the only truly sustainable advantage comes from out-innovating the competition.
By: . In model analysis activities, it is critical to make early statements and diagnosis from a high level of abstraction. Currently, these tasks are difficult to perform, and they require both the involvement of experts and the elaboration of specialized artifacts. Furthermore, the complexity of the tasks increases as models become bigger and more detailed. In other contexts, it has been noticed that total / holistic / unfiltered visualizations may give insight about the models, providing analysts a starting point for exploration and general pattern discovery. In this paper, we evaluate the support that six different Enterprise Architecture (EA) modeling tools offer to EA analysis activities, and assess the strengths and weaknesses of six visualization frameworks, in order to extend the analysis of enterprise models by Visual Analysis. The evaluation is based on a set of 14 requirements which are either visualization-related or specific to EA analysis, and its results were harvested from a) observed characteristics of the diagrams of these tools, and b) visualizations from an enterprise model, generated with the aforementioned visualization frameworks. These results point to several actionable subjects and research opportunities for the field of EA Modeling and Analysis.
The wave of the fourth industrial revolution (Industry 4.0) is bringing a new vision of the manufacturing industry. In manufacturing, one of the buzzwords of the moment is "Smart production". Smart production involves manufacturing equipment with many sensors that can generate and transmit large amounts of data. These data and information from manufacturing operations are however not shared in the organization. Therefore the organization is not using them to learn and improve their operations. To address this problem, the authors implemented in an Industry 4.0 laboratory an instance of an emerging technical standard specific for the manufacturing industry. Global manufacturing experts consider the Reference Architecture Model Industry 4.0 (RAMI4.0) as one of the corner stones for the implementation of Industry 4.0. The instantiation contributed to organizational learning in the laboratory by collecting and sharing up-to-date information concerning manufacturing equipment. This article discusses and generalizes the experience and outlines future research directions.
Innovation is becoming increasingly important for Enterprise Architecture (EA) teams. Consequently, it is crucial that tools be developed to assist Enterprise Architecture teams when evaluating how (and how well) they are supporting innovation within the context of their enterprise. To date very little research has been completed that focuses on both EA and innovation. This paper presents an assessment tool to help EA teams evaluate and improve how they support innovation. The tool has been tested in a case study with a hi-tech firm and initial results are presented. In 2015 International Conference on Enterprise Systems (ES).
Companies throughout the world use Enterprise Architecture (EA) because of benefits such as the alignment of business to Information Technology (IT), centralisation of decision making and cost reductions due to standardisation of business processes and business systems. Even though EA offers organisational benefits, EA projects are reported as being costly, time consuming and require tremendous effort. Companies therefore seek to ascertain ways to measure the effectiveness of EA implementation because of the money and time being spent on EA projects. EA Effectiveness refers to the degree in which EA helps to achieve the collective goals of the organisation and its measurement depends on a list of constructs that can be used to measure the effectiveness of EA implementation. Currently, there exist no comprehensive list of constructs that are suitable to measure the effectiveness of EA implementation. The paper reports on the results of a study that explored the development of a compreh ensive list of constructs suitable for measuring the effectiveness of EA implementation. The artefact developed in this research study is called Enterprise Architecture Effectiveness Constructs (EAEC). The EAEC consists of 6 constructs namely: - alignment
Cloud computing is emerging as a promising enabler of some aspects of the ‘agile’ and ‘lean’ features that businesses need to display in today’s hyper-competitive and disruptive global economic ecosystem. However, it is increasingly obvious that there are essential prerequisites and caveats to cloudification that businesses need to be aware of in order to avoid pitfalls. This paper aims to present a novel, Enterprise Architecture-based approach towards analysing the cloudification endeavour, adopting a holistic paradigm that takes into account the mutual influences of the entities and artefacts involved, in the context of their life cycles. As shown in the paper, this approach enables a richer insight into the ‘readiness’ of a business considering embarking on a cloudification endeavour and therefore empowers management to evaluate consequences of- and take cognisant decisions on the cloudification extent, type, provider etc. based on prompt information of appropriate quality and deta
Enterprise architecture management (EAM) has become an increasingly important topic in practice due to the growing complexity of organizations and their underlying IT. While there is a strong interest in Enterprise Architecture (EA) modeling, evaluation, and frameworks, a lack of knowledge remains in the research field of EA planning. We conducted a series of expert interviews on the topic of EA planning. From these interviews we were able to extract requirements for EA planning from practice as the foundation of our analyses. Additionally, we conducted a structured literature review to elicit requirements for EA planning from a research perspective. This paper combines the results of both the practitioner interviews and the literature review to emphasize the gaps between the two worlds. As a result, we identified that current research does not adequately address the pressing problems of EA planning in practice.
Exploring ‘People’ as the key element in enterprise architecture implementation: A Critical Realist Perspective
TOGAF (2009) describes the purpose of Enterprise Architecture (EA) is to optimise enterprisewide systems - the often-fragmented legacy of data processes (both manual and automated) - into an integrated environment that is responsive to change and supports the delivery of the business strategy (The Open Group Architecture Framework [TOGAF], 2009). However, for a number of reasons organisations still have difficulties establishing an effective EA (Raadt & Vliet, 2008; Gartner, 2009; and Janssen & Klievink, 2012, among others) and various reports suggest up to two thirds of implementations do not fulfil expectations (Roeleven, 2010). Being organisation wide with a strong governance element EA has significant social implications and social dependence, yet many implementations wrongly treat EA as solely a technical program. This thesis argues that the lack of focus on the ‘people’ element of EA could be the reason why many organisations still struggle with EA implementation. Recognising the importance of people in EA implementation requires acceptance of implementation as a social program, heavily influenced by the structural and cultural systems surrounding the architecture. In order to address the need for greater recognition of the role of people and the social aspects of EA implementation, this thesis adopts critical realism (CR) and its most recognised methodology, the morphogenetic approach (MA). Realism emphasises ontology and strongly argues that ontology, methodology and epistemology are closely linked – as Fleetwood (2005, p. 197) suggests, ontology matters: “The way we think the world is (ontology) influences: what we think can be known about it (epistemology); how we think it can be investigated (methodology and research techniques); the kinds of theories we think can be constructed about it; and the political and policy stances we are prepared to take”. In order to examine the social implications of technology implementation it makes sense to adopt a wellrecognized social theory like critical realism. This social realist approach proposes an analytical separation between structure, culture and agency (people) in order to examine their interactions over time. The MA suggests three important cycles – structural conditioning, social interaction and structural elaboration that provide a platform for examining possible change. Archer also importantly suggests that the emergent properties of collectivities and individuals differ. Such a model has clear value for examining the “people” acceptance of the new impositions and opportunities provided by the EA implementation. It acknowledges the sociocultural consequences of interactions between the structure and the culture to provide particular situational logics that direct, but do not determine the actions of people. The MA emphasises strongly the role of time in situation examination suggesting that structure and culture predate subsequent actions by involved agents. The thesis describes particular situational logics or mechanisms emanating from the interaction between structural and cultural systems that encourage particular behaviours in response to the EA program. These actions are then further examined in the sequence of MA cycles. Since mechanisms are only effective if people adopt them or not, another important element in this study is the part played by “reflexivity”. Reflexivity highlights the linkage between people concerns, projects and practices as people act in order to promote their concerns, and form projects to advance or to protect what they care about most. Reflexivity is an important mechanism for explaining how people’s ultimate concerns impact on their approach to the impositions of EA. An Australian university implementing EA (termed UX for anonymity) has been used as a case study in this research – this fortuitous timing allowed a careful and detailed examination of implementation over a 3-year period from initial rollout to ultimate acceptance. The study describes the challenging environment of university implementation where “academic freedom” is paramount and individual and group autonomies are threatened by EA – the study presents the important mechanisms and situational logics that direct people’s actions within the complex social context of a university. Semi-structured in-depth interviews were used as the primary method of data collection across UX stakeholders. A range of interviews were held throughout the study period with the university IT Governance Committee, the University Architecture Board, the CIO, and the Enterprise Business Group, as well as individual end-users such as teaching staff, researchers, students, and administrative staff of the faculties, schools and service centres. The MA provided a basic structure for unravelling the social complexity and helped guide the interview questions to identify the generative mechanisms hidden in the real domain, and to highlight the conditions that encourage individual and collective acceptance of EA practices. The reflexivity indicator developed by Archer –ICONI– is used throughout to explain how personal projects are formed and how they mediate the exercise of structural/cultural constraints and enablement within EA implementation. Passive participation in regular EA implementation meetings at UX was also important and useful to unearth possible perceived causal possibilities emanating from within the program itself and evident within the social context of implementation. Underpinned by a critical realist perspective, the thesis demonstrates that the MA is a powerful analytical tool to uncover the hidden mechanisms (the situational logics of structures and cultures) and social responses that enable success of EA implementation. The research examines the particular situational logics evident within the University under study and how these provide opportunities and constraints to the acceptance of EA over time. Equally important was reflexivity theory in attaining knowledge and understanding about what it is about people’s internal relations that makes EA implementation succeed. This thesis offers organisations a means to focus on the deeper issues of EA implementation programs by understanding the social complexity surrounding the architecture. The recognition of people as a key element in EA implementation provides a useful explanation of how the key stakeholders (and their power, influence and interests) may constrain and enable EA implementation. By including reflexivity as an important mechanism, organisations will be in a better position to understand the role of people and their interactions with preexisting structures and cultures operating over different time periods – reflexivity suggesting that “people” always have the possibility to do otherwise than expected, largely dependent on their personal history and their current personal projects and ultimate concerns.
Enterprise agility, i .e., the ability of enterprises to respond to changes, is a core imperative for effective change management. It can improve operational efficiency as well as support resource optimization. Yet, it is challenging and a major concern for corporate executives. To facilitate agility, it can be useful to design modeling constructs for representing changes. Such modeling constructs can help stakeholders to represent and better understand change concepts. This research contributes by extending existing enterprise modeling approaches with new modeling constructs for representing concepts of change. These modeling constructs are integrated into a conceptual model. To demonstrate utility, we apply this meta-model to represent a real-world case study and discuss some lessons learned in this process. One major challenge faced by
Enterprise architecture (EA) frameworks of the past have attempted to support the cohesive and comprehensive modeling and documentation of the enterprise, often with a focus on business and information technology (IT). However, the digitalization of enterprises and the complexity of IT have outgrown these matrix box-like frameworks. This paper proposes a digital, holistic, and sustainable EA framework, called the Digital Diamond Framework, to support digitized enterprises in aligning the real EA state with the desired state.
Complexity is a core feature of most policy issues today and in this context traditional analytical tools and problem-solving methods no longer work. This report, produced by the OECD Observatory of Public Sector Innovation, explores how systems approaches can be used in the public sector to solve complex or “wicked” problems . Consisting of three parts, the report discusses the need for systems thinking in the public sector.
This publication examines the opportunities and challenges, for business and government, associated with technologies bringing about the “next production revolution”. These include a variety of digital technologies (e.g. the Internet of Things and advanced robotics), industrial biotechnology, 3D printing, new materials and nanotechnology. Some of these technologies are already used in production, while others will be available in the near future. All are developing rapidly. As these technologies transform the production and the distribution of goods and services, they will have far-reaching consequences for productivity, skills, income distribution, well-being and the environment. The more that governments and firms understand how production could develop in the near future, the better placed they will be to address the risks and reap the benefits.
Purpose – The purpose of this paper is to demonstrate and evaluate the prioritization and categorization method (PCM), which facilitates the active participation of process stakeholders (managers, owners, customers) in process assessments. Stakeholders evaluate processes in terms of effectiveness, efficiency and relevance against certain contextual business and industry factors. This collective evaluation serves as a foundation for the management decision-making process regarding process improvement and redesign. Design/methodology/approach – The PCM is examined based on a case study at Ericsson. In total, 55 stakeholders, representing different organizational levels and functions, assessed eight core processes. Follow-up interviews and feedback after the evaluation sessions were collected for triangulation purpose. Findings – The PCM helps Ericsson evaluate its processes within business context and industry environments. The results show that, to realize seamless end-to-end processes in the eight assessed processes, Ericsson has to make a greater effort to improve its process structures, governance and culture for fulfilling the needs of future business. Ericsson Steering Group is satisfied with the insights provided and has decided to train more stakeholders to use PCM. Research limitations/implications – This research is based on a single case within a specific organizational setting. The results may not be necessary generalizable to other business and industry settings. Organizations need to configure PCM in consideration of their own processes and business contingencies to explore and fulfil their process improvement purposes. Originality/value – This paper presents a new context-aware, easy-to-use and holistic method for business process management (BPM), the PCM. The method requires the active engagement of stakeholders, it focusses on developing dynamic BPM capabilities and fully embeds organizational contingencies and contextual factors in the decision-making regarding BPM. This paper contributes a novel method to explorative BPM.
How do organizations survive in the face of change? Underlying this question is a rich debate about whether organizations can adapt—and if so how. One perspective, organizational ecology, presents evidence suggesting that most organizations are largely inert and ultimately fail. A second perspective argues that some firms do learn and adapt to shifting environmental contexts. Recently, this latter view has coalesced around two themes. The first, based on research in strategy suggests that dynamic capabilities, the ability of a firm to reconfigure assets and existing capabilities, explains long-term competitive advantage. The second, based on organizational design, argues that ambidexterity, the ability of a firm to simultaneously explore and exploit, enables a firm to adapt over time. In this paper, we review and integrate these comparatively new research streams and identify a set of propositions that suggest how ambidexterity acts as a dynamic capability. We suggest that efficiency and innovation need not be strategic tradeoffs and highlight the substantive role of senior teams in building dynamic capabilities.
Dynamic capabilities have been proposed as a useful way to understand how organizations are able to adapt to changes in technology and markets. Organizational ambidexterity, the ability of senior managers to seize opportunities through the orchestration and integration of existing assets to overcome inertia and path dependence, is a core dynamic capability. While promising, research on dynamic capabilities and ambidexterity has not yet been able to specify the specific mechanisms through which senior managers are actually able to reallocate resources and reconfigure assets to simultaneously explore and exploit. Using interviews and qualitative case studies from thirteen organizations, this article explores the actions senior managers took to implement ambidextrous designs and identify which ones helped or hindered them in their attempts. A set of interrelated choices of organization design and senior team process determine which attempts to build ambidextrous organizations are successful.
Corporate executives must constantly look backward, attending to the products and processes of the past, while also gazing forward, preparing for the innovations that will define the future. This mental balancing act is one of the toughest of all managerial challenges - it requires executives to explore new opportunities even as they work diligently to exploit existing capabilities - and it’s no surprise that few companies do it well. But as every businessperson knows, there are companies that do. What’s their secret? These organizations separate their new, exploratory units from their traditional, exploitative ones, allowing them to have different processes, structures, and cultures, at the same time, they maintain tight links across units at the senior executive level. Such ambidextrous organizations, as the authors call them, allow executives to pioneer radical or disruptive innovations while also pursuing incremental gains. Of utmost importance to the ambidextrous organization are ambidextrous managers - executives who have the ability to understand and be sensitive to the needs of very different kinds of businesses. They possess the attributes of rigorous cost cutters and free-thinking entrepreneurs while also maintaining the objectivity required to make difficult trade-offs. Almost every company needs to renew itself through the creation of breakthrough products and processes, but it shouldn’t do so at the expense of its traditional business. Building an ambidextrous organization is by no means easy, but the structure itself, combining organizational separation with senior team integration, is not difficult to understand. Given the executive will to make it happen, any company can become ambidextrous.
Enterprise Architecture has been developed in order to optimize the alignment between business needs and the (rapidly changing) possibilities of information technology. But do organizations indeed benefit from the application of Enterprise Architecture according to those who are in any way involved in architecture? To answer this question, a model has been developed (the Enterprise Architecture Value Framework) to organize the benefits of Enterprise Architecture. Based on this model, a survey has been conducted among the various types of stakeholders of Enterprise Architecture, such as architects, project managers, developers and business or IT managers. In the survey the respondents were asked to what extent they perceive various benefits of Enterprise Architecture in their organization. The results of this survey (with 287 fully completed responses) are analyzed and presented in this paper. In all categories of the framework benefits are perceived, though to different extent. Very few benefits are perceived in relation to the external orientation of the organization. Few statistically significant correlations were found in relation to the background of the respondents: the overall view on benefits of Enterprise Architecture appeared independent of the role of the respondents, the economic sector and the number of years of experience with architecture
Information technology is revolutionizing products. Once composed solely of mechanical and electrical parts, products have become complex systems that combine hardware, sensors, data storage, microprocessors, software, and connectivity in myriad ways. These smart, connected products - made possible by vast improvements in processing power and device miniaturization and by the network benefits of ubiquitous wireless connectivity - have unleashed a new era of competition. Smart, connected products offer exponentially expanding opportunities for new functionality, far greater reliability, much higher product utilization, and capabilities that cut across and transcend traditional product boundaries. The changing nature of products is also disrupting value chains, forcing companies to rethink and retool nearly everything they do internally. Smart, connected products raise a broad set of new strategic choices for companies about how value is created and captured, how to work with traditional partners and what new partnerships will be required, and how to secure competitive advantage as the new capabilities reshape industry boundaries. For many firms, smart, connected products will force the fundamental question: What business am I in? This article provides a framework for developing strategy and achieving competitive advantage in a smart, connected world.
The evolution of products into intelligent, connected devices is revolutionizing business. In a November 2014 article, How Smart, Connected Products Are Transforming Competition, Harvard Business School professor Michael Porter and PTC president and CEO James Heppelmann looked at how this shift is changing the structure of industries and forcing firms to rethink their strategies. In this companion article, the authors look at the effects inside firms, examining the impact that smart, connected products have on operations and organizational structure. The new capabilities and vast quantities of data that smart, connected products offer are redefining the activities of the core functions of companies—sometimes radically. As software and cloud-based operating systems become integral to products, new product-development principles emerge, manufacturing components and processes change, and IT security becomes the job of every function. Companies need different skills and expertise, which creates new imperatives for HR. In the marketing function, the ability to track a product's condition and use shifts the focus to maximizing the product’s value to the customer over time. Customer relationships become continuous and open-ended, service becomes more efficient and proactive, and new business models are enabled. The rich data on location and environment that products provide take logistics to a whole new level. Smart, connected products also alter interactions between functions, in ways that hold major implications for organizational structure. Intense, ongoing coordination becomes necessary across multiple functions, including design, operations, sales, service, and IT. Functional roles overlap and blur. Entirely new functions - unified data organizations, dev-ops, and customer success management- begin to emerge. What is under way is the most substantial change in the manufacturing firm since the Second Industrial Revolution, and the effects are spreading to other industries, like services, as well.
There is a fundamental disconnect between the wealth of digital data available to us and the physical world in which we apply it. While reality is three-dimensional, the rich data we now have to inform our decisions and actions remains trapped on two-dimensional pages and screens. This gulf between the real and digital worlds limits our ability to take advantage of the torrent of information and insights produced by billions of smart, connected products (SCPs) worldwide. Augmented reality, a set of technologies that superimposes digital data and images on the physical world, promises to close this gap and release untapped and uniquely human capabilities. Though still in its infancy, AR is poised to enter the mainstream - according to one estimate, spending on AR technology will hit $60 billion in 2020. AR will affect companies in every industry and many other types of organizations, from universities to social enterprises. In the coming months and years, it will transform how we learn, make decisions, and interact with the physical world. It will also change how enterprises serve customers, train employees, design and create products, and manage their value chains, and, ultimately, how they compete. In this article we describe what AR is, its evolving technology and applications, and why it is so important. Its significance will grow exponentially as SCPs proliferate, because it amplifies their power to create value and reshape competition. AR will become the new interface between humans and machines, bridging the digital and physical worlds. While challenges in deploying it remain, pioneering organizations, such as Amazon, Facebook, General Electric, Mayo Clinic, and the U.S. Navy, are already implementing AR and seeing a major impact on quality and productivity. Here we provide a road map for how companies should deploy AR and explain the critical choices they will face in integrating it into strategy and operations.
Despite the growing interest in enterprise architecture management, researchers and practitioners lack a shared understanding of its applications in organizations. Building on findings from a literature review and eight case studies, we develop a taxonomy that categorizes applications of enterprise architecture management based on three classes of enterprise architecture scope. Organizations may adopt enterprise architecture management to help form, plan, and implement IT strategies; help plan and implement business strategies; or to further complement the business strategy-formation process. The findings challenge the traditional IT-centric view of enterprise architecture management application and suggest enterprise architecture management as an approach that could support the consistent design and evolution of an organization as a whole.
An AHP-based approach toward enterprise architecture analysis based on enterprise architecture quality attributes
Enterprise Architecture (EA) as a discipline that manages large amount of models and information about different aspects of the enterprise, can support decision making on enterprise-wide issues. In order to provide such support, EA information should be amenable to analysis of various utilities and quality attributes. In this regard, we have proposed the idea of characterizing and using enterprise architecture quality attributes. And this paper provides a quantitative AHP-based method toward expert-based EA analysis. Our method proposes a step-by-step process of assessing quality attribute achievement of different scenarios using AHP. By this method, most suitable EA scenarios are selected according to prioritized enterprise utilities and this selection has an important affect on decision making in enterprises. The proposed method also introduces a data structure that contains required information about quality attribute achievement of different EA scenarios in enterprises. The stored asset can be used for further decision making and progress assessment in future. Sensitivity analysis is also part of the process to identify sensitive points in the decision process. The applicability of the proposed method is demonstrated using a practical case study.
The ability of organizations to innovate is acknowledged as an essential capability to compete in a competitive market. This paper proposes to use enterprise architecture management as a systematic approach to innovate the enterprise. The enterprise architecture approach is based on a comprehensive architecture framework which aligns the domains of business -, application - and infrastructure architecture. The framework addresses all dimensions relevant for enterprise innovation like business mod-el, organization, processes, and technology and provides appro-priate design techniques. A comprehensive architecture development process is introduced which integrates innovation as a central element for the enter-prise architecture design. The process encompasses all activities from business vision
Much existing research on IS and enterprise architecture focuses on suggesting different representa-tions describing a ‘target architecture’ for processes, information and information systems at different levels across the organization. Less emphasis has been put on the actual evolution of the current en-terprise architecture towards this envisioned ‘target architecture’. In this paper we look at enterprise architecture from a process perspective and explore how actual practices of architecting enfold and how they are mutually shaped by context. In doing so, we offer two contributions. First, we contribute empirically showing how enterprise architecting in practice is an ambidextrous activity focusing on both fixing the limitations of historically entrenched architectures and establishing new architecture by betting on what needs are going to give the most flexibility and value in the future. Secondly, we contribute by conceptualizing how enterprise architecture evolves over time, and propose the concepts of ‘architectural path-dependency’ and ‘enterprise architecting’. Architectural path-dependencies is the effect of existing architectures that become economically, technically and organizationally hard to change – at least in a radical manner. Enterprise architecting, on the other hand, is the intentional acts to circumvent path-dependencies and evolve towards an envisioned architecture. Henceforth, we argue that enterprise architecture transition is shaped by multiple architectural path-dependencies as well as various acts of enterprise architecting to establish new paths. The paper discusses theses con-cepts in relation to existing literature on software and enterprise architecture.
There is no question that artificial intelligence (AI) is presenting huge opportunities for companies to automate business processes. However, as you prepare to insert machine learning applications into your business processes, I’d recommend that you not fantasize about how a computer that can win at Go or poker can surely help you win in the marketplace. A better reference point will be your experience implementing your enterprise resource planning (ERP) or another enterprise system. Yes, effective ERP implementations enhanced the competitiveness of many companies, but a greater number of companies found the experience more of a nightmare. The promised opportunity never came to fruition. Why am I raining on the AI parade? Because, as with enterprise systems, AI inserted into businesses drives value by improving processes through automation. But eventually, the outputs of most automated processes require people to do something. As most managers have learned the hard way, computers can process data just fine, but that processing isn’t worth much if people are feeding them bad data in the first place or don’t know what to do with information or analysis once it’s provided.
Enterprise Architecture (EA) management seeks to align business and IT while realizing cost saving potentials, improving availability and fault tolerance, and increasing flexibility of an organization. Regarding these objectives, decision makers need to be supported with solid and relevant models about the organization’s architecture to guide the future development of the EA. In practice, many EA initiatives struggle with inflexible models not meeting the information demand of stakeholders. In this paper, we propose a solution that empowers stakeholders to reveal their information demand collaboratively to facilitate EA models that evolve with changing information demands at runtime. We present core concepts of our approach and insights of an implementation thereof as foundation to achieve our long-term goal of evolving EA models. In our implementation we extend a collaboration platform with capabilities to monitor the actual information demand and to maintain the EA model referring to this demand at runtime. Indexed as A Tool for Collaborative Evolution of Enterprise Architecture Models at Runtime.
Investigation of the Lack of Common Understanding in the Discipline of Enterprise Architecture : A Systematic Mapping Study
The number of publications, along with the organization of new conferences are a couple of the relevant elements that usually indicate the progress of an area of study over the years. This is definitely true in the case of the Enterprise Architecture (EA) discipline, which went from having its first journal article published in 1989 to over two hundred published articles by 2015. But in spite of this evolution, EA is still suffering from a considerable lack of common understanding. It has become very important to investigate the current state of affairs concerning the EA discipline through its relevant publications in order to shed some light on this challenge. 171 journal papers published between 1990 and 2015 were systematically selected and examined in order to accomplish this investigation. The quantitative and qualitative findings of this examination show that EA is a young discipline which raises a growing interest in recent years. This examination also confirms the lack of common understanding in EA, which can be observed in the different descriptions of the term "enterprise architecture," and in the diversity of perspective with regards to the whole discipline. Several issues related to this lack has been reported, such as multidisciplinary issue, language issue, structure of research and mode of observation issues. The major issue concerns the absence of enough research to shed some light on this challenge. In addition to this investigation, helpful directions for future research in this area was proposed.
Enterprise Reference Architectures have been increasingly emerging as new standardized architectural description artefacts suitable to provide a frame of reference for a particular business domains. Used in an appropriate way, they can be a useful tool for improving enterprise architecture management practices. Whilst from a practitioners perspective several instances of such architectures have been created over the past years, little research on such artefacts has been done to date. Hence, academia still lacks a comprehensible overview of prior literature on Enterprise Reference Architectures, despite the relevance of literature reviews to knowledge advancement in any scientific field. To close this gap, in this paper we present a primer literature review on Enterprise Reference Architectures conducted following general guidelines proposed for undertaking information systems reviews. Similarly to precedent contributions addressing enterprise architecture oriented topics, we introduce a novel classification framework based on Gregor‘s theory types of information systems to structure and summarize former research. Major findings from significant studies on the topic are then identified, analysed and mapped into the referred framework. Based on the analysis and results of the review, brief suggestions to stimulate further research on the design, improvement and application of Enterprise Reference Architectures are also derived.
Revisiting the Impact of Information Systems Architecture Complexity: A Complex Adaptive Systems Perspective
Organizations constantly adapt their Information Systems (IS) architecture to reflect changes in their environment. In general, such adaptations steadily increase the complexity of their IS architecture, thereby negatively impacting IS efficiency and IS flexibility. Based on a Complex Adaptive Systems (CAS) perspective, we present a more differentiated analysis of the impact of IS architecture complexity. We hypothesize the relation between IS architecture complexity on the one hand, and IS efficiency and IS flexibility on the other hand to be mediated by evolutionary and revolutionary IS change. Subsequently, we test our hypotheses through a partial least squares (PLS) approach to structural equation modelling (SEM) based on survey data from 185 respondents. We find that the direct negative impact of IS architecture complexity on IS efficiency and IS flexibility is no longer statistically relevant when also considering the mediating effects of revolutionary and evolutionary IS change.
National Enterprise Architecture (EA) is regarded as a catalyst for achieving e-government goals and many countries have given priority to it in developing their e-government plans. Designing a national EA framework which fits the government’s specific needs facilitates EA planning and implementation for public agencies and boosts the chance of EA success. In this paper, we introduce Iran’s national EA framework (INEAF). The INEAF is designed in order to improve interoperability and deal with EA challenges in Iranian agencies.
Management of the enterprise architecture has become increasingly recognized as a crucial part of both business and IT management. Still, a common understanding and methodological consistency seems far from being developed. Acknowledging the significant role of research in moving the development process along, this article employs different bibliometric methods, complemented by an extensive qualitative interpretation of the research field, to provide a unique overview of the enterprise architecture literature. After answering our research questions about the collaboration via co-authorships, the intellectual structure of the research field and its most influential works, and the principal themes of research, we propose an agenda for future research based on the findings from the above analyses and their comparison to empirical insights from the literature. In particular, our study finds a considerable degree of co-authorship clustering and a positive impact of the extent of co-authorship on the diffusion of works on enterprise architecture. In addition, this article identifies three major research streams and shows that research to date has revolved around specific themes, while some of high practical relevance receive minor attention. Hence, the contribution of our study is manifold and offers support for researchers and practitioners alike.
A sophisticated framework for strategic operating model is presented here which helps develop the IT foundation in order to execute IT-Strategy. The driving force behind the projected operating model is the need of IT alignment with business. There are key approaches used in this paper to shape our operating model: a) SOA: Service orientation approach for each phase of Enterprise Architecture, b) Governance: Automated process to govern the strategy into each enterprise application, c) Evolution: Although strategy drives enterprise architecture, it also evolves in bottom-up fashion. This operating model integrates several frameworks to lead a basis of standard and effective IT.
As the digital age unfolds, executives face new strategic choices about how to take advantage of fast-moving technology innovations. Prior research showed that value comes not simply from adopting digital technology, but from using technology to transform the way a company does business. But while the term digital transformation is much in vogue, relatively less attention is paid to the design of the organization that must fulfill the chosen digital strategies. New digitally-enabled possibilities for designing, organizing, and managing productive work challenge leaders to make choices about how to operate (organizational design choices) as well as what to produce (strategic choices). This paper builds on interview and survey data from over 150 organizations to develop a model of digital organizational design. We identify a core set of organizational characteristics (including mindsets, practices and resources) that underpin enterprise development of Digital Capability to improve customer experience, internal operations or employee engagement. We introduce the concept of Digital Dexterity, the sustained organizational ability to rapidly adapt and self-organize to take advantage of emerging digital possibilities, and show that these same organizational characteristics are associated with digital dexterity. We argue that in a digital economy where technologies continue to improve exponentially, digital dexterity is the hallmark of a true Digital Organization. In order to build an enterprise for long term digital advantage, executives need to cultivate the unique set of characteristics of a Digital Organization that collectively enable both Digital Capability and Digital Dexterity.
Many enterprises are still in the early stage of research and exploration into the concrete practice of enterprise architecture. Under the milieu of globalization, it is increasingly necessary for an enterprise to improve cognition and practices of informatization construction. Also crucial for enterprises is the ability to exploit and develop a myriad of architecture frameworks in order to remain creative and dynamic in this field in order to determine which EAF suits them best. Enterprises should do so based on the understanding of not only business strategy and process, but also on the meanings of EA frameworks. This paper defines a classification system which is used to analyze 55 different EA frameworks.
Enterprise architecture originates from the 1980’s. It emerged among ICT practitioners to solve complex problems related to information systems. Currently EA is also utilised to solve business problems, although the focus is still in ICT and its alignment with business. EA can be defined as a description of the current and future states of the enterprise, and as a change between these states to meet stakeholder’s goals. Despite its popularity and 30 years of age, the literature review conducted on top information and management science journals revealed that EA is still lacking the sound theoretical foundation. In this conceptual paper, we propose General Systems Theory (GST) for underpinning theory of EA. GST allows us to see enterprises as systems of systems consisting of, for instance, social organisations, humans, information systems and computers. This explains why EA can be used to describe the enterprise and its components, and how to control them to execute the managed change. Implications to science and practice, and some directions for future research are also provided.
As the most enterprises are relying on relations to other enterprises, it is relevant to consider enterprise architecture for inter-organisational relations particularly those relations involving technology. This has been conceptualised as Extended Enterprise Architecture, and a systematic review of this discipline is the topic of this paper. This paper is taking a point of departure in general theories of business-to-business relationships along with inter-organisational information systems, interoperability and business ecosystems. The general theories are applied to the Extended Enterprise Architecture to emphasize paradoxes, problems and potentials in extending EA across organisational boundaries. The purpose of this paper is to review the concept of Extended Enterprise Architecture (EEA) theoretically and empirically to identify viability of Enterprise Architecture (EA) initiatives spanning across organisational boundaries. A case is presented of an enterprise engaging in technology-based business process integration that in turn is explicated as enterprise architecture initiatives with both more and less powerful partners. This paper underlines the necessity to be able to have EA spanning initiatives across multiple enterprises, but a range of problems is illuminated related to (lack of) precision, imbalance, heterogeneity, transformation, temporality, and (operational) maturity. The concept of EEA is seemingly vague, however this paper calls for a strengthen emphasis on redefining general architectural frameworks to embrace EEA in order to handle typical and modern forms of organisational designs relying on virtual and cross-company as cornerstones.
Information technology (IT) is at the core of digitisation of existing business models and dominates in the innovation efforts of many industries. IT has until now in many ways been regarded as exempted from the structuration and automation represented by IT. The IT4IT framework released by The Open Group in October 2015 suggests to a major change. IT has to be governed and structured along defined processes of value chains, life-cycles, service propositions, customer interaction and cost control as any other area of the organization. The purpose of this paper is to review IT4IT as a practical implementation of a Management of Technology framework and to review its perspectives and implications to the MoT society as well as the contributions it has to IT professionals, innovators and MoT practitioners. Methodologically this paper is based on an extensive case study of a large IT service provider. The IT service provider used the framework, along with other frameworks, to introduce larger degree of homogeneity of its own service “catalogues”, improved processes for navigating in the heterogeneity of its customers, and to ensure uniform processes of performance management and reporting. Methodologically this paper has been challenged by the novelty of the topic of IT4IT as only very little peer reviewed materials is available
In most economic sectors organizations face rapid environmental changes like regulations. Such changes can force them to adjust both their organizational and operational structure. For instance, in the energy utility sector numerous developments moved German Public Utilities (PUs) towards a liberalized market. Nowadays PUs have to stay competitive while managing a heterogeneous information technology (IT) landscape. We address this demand for aligning business and IT by combining the holistic perspective of Enterprise Architecture Management (EAM) with the characteristic of reference modeling to reuse knowledge in a problem domain. Therefore, we utilize configurative reference modeling within Design Science Research (DSR). The artefact at hand is a method for developing a Reference Enterprise Architecture (R-EA), which is applied in the problem domain of PUs. Our contributions are the (i) adaptation of Configurative Reference Modelling (CRM) to develop a R-EA and (ii) a procedure how to elicit knowledge for R-EA development method.
The paper aims to provide high-level guidance for architects of cyber-physical enterprises such that the nature of interactions within it as a system can be largely self-determined based on system self awareness and dynamic self-configuration, and a set of foundational guiding principles, rather than being pre-defined by an external designer or architect. The paper investigates the suitability of typical development life cycles and architectural challenges in the context of dynamic cyber-physical systems intending to utilize the power of the Internet of Things, and then goes on to define desired attributes of such systems, which need to guide suitable core architectural choices. Application of the findings is exemplified through a case study, followed by synthesis of issues and implications for further research.
While world-wide Mergers and Acquisitions (M&As) activity continues to accelerate, a substantial proportion of deals fails to yield the expected value. The inability to plan and implement post-merger integration of information technology contributes substantially to these failure rates. This paper advances the argument that a company’s pre-existing Enterprise Architecture decisively shapes the capability to implement post-merger IT integration and subsequently realize benefits from M&A. Our multiple-case study investigates three acquisition cases and develops an explanatory theory of how Enterprise Architecture maturity enables the implementation of distinct integration strategies. The results do not only enrich the academic literature on M&A, but also show the strategic value of Enterprise Architecture maturity.
In order to aid organisations in the adoption of enterprise architecture (EA) best practices, maturity models have been proposed in the literature. These models offer organisational roadmaps and assessment frameworks for increasing EA maturity. However, key questions concerning the implied meaning of the term maturity in the context of these models have been left unexplored by previous research. This research, aided by the field of organisational learning, offers new insights into the implied assumptions of current EA maturity models and offers initial concepts and constructs to guide the conceptualisation, construction and refinement of enterprise maturity models.
Enterprise architecture (EA) offers ways to steer and guide the design and evolution of the enterprise including its information technology (IT). One of the outputs of EA is improved decision-making about IT. Objective: This study aims to provide EA researchers and practitioners with insights into how IT decision-making actually takes place and what that means for them. Method: A systematic literature review was conducted in order to find and analyze primary studies about IT decision-making. Results: We found that IT investment and prioritization is by far the largest decision category. Money seems much more important than content. The IT decision-making process itself is subject to different variables and factors making every IT decision unique. We also found that both rational and bounded rational approaches are used in IT decision-making. EA has not a prominent role in IT decision-making. Conclusions: IT decision-making is a messy and complex process where money plays a prominent role. We argue that, if enterprise architects want to influence IT decision-making, they should follow the money by combining content with investment planning and prioritization. Further research is required into what distinguishes enterprise architects that are successful in IT decision-making, from those that are less successful.
(Enterprise) Architecture has emerged as a key discipline in dealing with continuous change/transformation in which models play a key role. In most current modelling languages (e.g. ArchiMate) there is a clear distinction between business concepts and IT concepts. The question that is addressed in this paper is: is that still justified? It is argued that a more symbiotic relationship between human actors and computer actors, performing essential (business) behaviour side by side is the way to long term success. We also briefly touch upon the impact of such change in (modelling) approach on the way we deal with these transformations from a methodological point of view.
This article discusses the benefits of applying structured, holistic analysis to human enterprises. It describes the Axum framework for enterprise architecture which the author developed as a tool for managing strategic change. This has been used successfully in many varied organisations such as civil service, Web?based betting and even a major political party. It explains how the framework evolved out of earlier work on bussiness process reengineering to provide a more holistic approach in which process is set in the context of all other things that must be managed for successful change. The application of the framework in complex diversified enterprises is also explained and illustrations from the experience of the author are given.
In the past decade, agile methodologies have become widespread, and the many organizations that employ it have proved successful. To deal with the volatility of the market and to meet dynamic business needs, agile methods seem to be a pragmatic approach. Organizations are keen to scale agile methods across the enterprise to reap the benefits seen in agile teams. Agile Enterprise Architecture can be defined as a process for handling Enterprise Architecture (EA) by applying agile development principles and methods. However, there is a research gap in the adoption of agile Enterprise Architecture. In this paper, I analyze the factors that influence agile EA adoption in large organizations using a grounded theory approach. The evolution of the Enterprise Architect role during the agile EA adoption is presented based on the complex adaptive system theory. A case study is conducted in a leading transportation company which transitioned to agile Enterprise Architecture from traditional methods. This paper focuses on agile Enterprise Architecture adoption from the Enterprise Architects’ viewpoint. My analysis shows that various significant factors influence agile Enterprise Architecture adoption in a large organization. Enterprise Architects are the key personnel in the Governance of Enterprise Architecture and deliver essential business value to an organization. My findings show the changing role of Enterprise Architects when agile Enterprise Architecture is adopted in a large organization. Furthermore, complex adaptive system theory assists in explaining this phenomenon.
While mixed methods research is increasingly established as a methodological approach, researchers still struggle with boundaries arising from commitments to different methods and paradigms, and from attention to social justice. Combining two lines of work—social learning theory and the Imagine Program at the University of Brighton—we present an evaluation framework that was used to integrate the perspectives of multiple stakeholders in the program’s social interventions. We explore how this value-creation framework acts as a boundary object across boundaries of practice, specifically across quantitative and qualitative methods, philosophical paradigms, and participant perspectives. We argue that the framework’s focus on cycles of value creation provided the Imagine Program with a shared language for negotiating interpretation and action across those boundaries.
The value created by learning in communities of practice or networks is not always easy to articulate in ways that make sense to participants, sponsors, and stakeholders. Yet it is something that needs to be done, not only for monitoring and evaluation, but also for optimizing the learning of the community. We have developed a “value-creation framework” that focuses on how social learning makes a difference in the world via its effect on practice. The framework helps structure convincing accounts of the value of social learning by framing learning in terms of different cycles of value creation and loops between them. It integrates quantitative and qualitative data and can be used by professional evaluators as well as participants. In this paper we demonstrate the use of the framework in a project supported by the World Bank in Southern and Eastern Africa where it was used both for evaluation and for strategic renewal of a regional network of members of parliament and their clerks.
Based on organizational information processing theory, this paper develops and tests a research model to deepen the understanding about the conditions under which the use of data analytics contributes to innovation performance. This paper suggests that firm innovativeness, as an organization cultural concept, should moderate the relationship between data analytics use and innovation performance. The results of a moderation analysis based on data from cross-sectional survey support this account. The findings indicate a significant inversely U-shaped effect of innovativeness on the relationship between data analytics use and innovation performance. The effect of data analytics use on innovation performance is strongest under medium levels of innovativeness but comparatively weaker when firms have a low or a high level of innovativeness. These insights contribute to the IS literature by clarifying the important role of firm cultural factors in shaping information needs and deployment of information processing capabilities.
Although there were many comparison literatures of EA frameworks, these literature use qualitative criteria based on intuitive practitioner’s experience. The paper first defines 36 concrete features of EA frameworks using six categories and six interrogatives. Then we concretely compare typical EA frameworks based on the key features. The result shows the easiness and concreteness of the proposed EA comparison framework.
Selected articles (Concepts for Framework for EA, Enterprise Architecture And Legacy Systems, The Challenge Is Change: A Management Paper).
With increasing size and complexity of the implementations of information systems, it is necessary to use some logical construct (or architecture) for defining and controlling the interfaces and the integration of all of the components of the system. This paper defines information systems architecture by creating a descriptive framework from disciplines quite independent of information systems, then by analogy specifies information systems architecture based upon the neutral, objective framework. Also, some preliminary conclusions about the implications of the resultant descriptive framework are drawn. The discussion is limited to architecture and does not include a strategic planning methodology.
There is always a lot discussion about talking to management about architecture and models and systems and technology and the like, and there seems to be two schools of thought.
Because of the dynamic environments of business and IT, achieving any alignment between the two fields has become challenging. In view of its multiple viewpoints and artifacts, the discipline of Enterprise Architecture (EA) is often regarded as an effective methodology to deal with BITA issues, and thus has attracted plenty of research. This article conducts a systematic literature review of BITA research using EA. Six questions are answered through 5W1H (When, Who, What, Why, Where, How) analysis. These questions aim to acquire a thorough understanding of BITA from the perspective of EA, to discover weak points in the status quo, and to identify future research directions.
Understanding IT Alignment Paradox: A Three-Way Interaction of Intellectual Alignment, Social Alignment, and Environmental Dynamism
IT alignment is generally considered to be an enabler of firm performance. However, the previous literature has found that IT alignment has no or even a negative effect on firm performance, suggesting an alignment paradox. This study aims to address this paradox by focusing on the examination of how agility is enhanced or reduced. We consider the boundary conditions of environmental dynamism under which the effect of IT alignment varies. We then conduct a paired-matched survey of business and IT executives in 148 organizations to empirically examine the proposed research model. Our findings suggest that environmental dynamism has a negative moderating effect on the relationship between intellectual alignment and organizational agility, but a positive moderating effect on the relationship between social alignment and organizational agility. Furthermore, we find that in dynamic environments, intellectual alignment increases organizational agility only when it is complemented by social alignment.