Enterprise Architecture Adoption Research Articles

Proposal of a sensing model in an Adaptive Enterprise Architecture

Nowadays, enterprises are evolving in an interconnected ecosystem mainly characterized by turbulence. They undergo unprecedented acceleration in transformations to survive in this highly dynamic and competitive landscape. This disrupts the osmosis between the various intertwined levels of abstraction of the organisation (Strategy, Business, and Information System). Enterprise Architecture and Adaptive Enterprise Architecture, especially, are used to catalyse successive changes and to ensure scalability over time. In this context, it is compulsory for companies to sense the change proactively or reactively in early stages to respond to uncertainty. They need to build their knowledge by continuously absorbing information and data from internal and external sources. Thus, a sensing model must be devised to face enterprise needs. In this paper we propose a meta-model that formalizes the sensing capability to make smooth adaptation. We also present a model that supports adequate future enterprise architecture adoption.

Factors of organizational adoption of enterprise architecture in Malaysian public sector: a multi group analysis

PurposeThe relevant importance of enterprise architecture (EA) to an organization has gained the attention of the public sector. However, its adoption rate remains slow on the uptake. Thus, this study aims to investigate the various factors associated with adoption intention based on the technological, organizational and environmental framework for federal and state types of public organizations to provide greater predictive accuracy and relevance of EA adoption in Malaysia’s public sector (MPS) context.Design/methodology/approachAn empirical study was conducted through an online survey in Malaysia. Based on 255 samples from public organizations throughout Malaysia, a multigroup analysis with partial least square structural equation modeling was performed to identify the respective influencing factors for adopting EA by federal and state organizations in the Malaysian public sector.FindingsFive organizational factors (clear communication, normative pressure, expected benefit, good governance and organization size) and two environmental factors (coercive pressure and mimetic pressure) were found to be significant factors influencing adoption intention for EA. Additionally, clear communication and coercive pressure were noted to be significant factors influencing adoption for both federal and state organizations. Other significant factors for federal organizations include expected benefit and normative pressure, whereas for state organizations, another significant influencing factor was good governance. The predictive accuracy for federal organizations was slightly higher at 74.6% than that of state organizations, that is, at 65%.Research limitations/implicationsThese findings imply that federal and state organizations respond to different factors that motivate their intention to adopt EA. These findings guide future intentional practice and ensure greater motivation for EA adoption.Practical implicationsThe identification of specific factors that matter to the federal and state public organizations in driving intention to adopt EA in this study has provided significant information that could help in effective decision-making process for these organizations. Common strategies that emphasize on clear communication and coercive pressure can be applied to address EA adoption processes for both federal and state public organizations. Further to that, more specified strategies such as highlighting expected EA benefits and instilling good governance work more effectively for federal and state, respectively.Originality/valueThis study has provided a more extensive view of EA adoption in MPS by differentiating the discerning factors based on the technological–organizational–environmental framework significant for federal and state types of organizations. Hence, this could help in formulating strategies specified to the organization type and ensure greater success in EA adoption in both federal and state organizations.

Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter

Presently cities are undergoing changes and transformations due to the adoption of information and communications technology. Enterprise Architecture (EA) is one of the approaches adopted by practitioners and researchers to facilitate smart city development as it can enhance the effectiveness of cities’ digital resources and sustainability capabilities. But, despite several literature on EA, studies on the adoption of EA to improve the sustainability of cities are still at the early stage. Besides, there are fewer studies that provided evidence on the adoption of EA to make cities sustainable grounded on established theoretical models and quantitative data. Therefore, this study aims to provide an understanding on the adoption of EA by different practitioners involved in a smart city project. Knowledge transfer and support services are integrated as new external variables needed to improve practitioners’ behavior intention and actual adoption of EA in making cities smarter. A model is developed grounded on an extension of Technology Acceptance Model (TAM), and data were collected via a cross-country survey. Partial least squares-structural equation modeling was employed to analyze the data. Findings from this study offer implications for research and practice and provide opportunities for future research.

Enterprise Architecture to Achieve Information Technology Flexibility and Enterprise Agility

Although enterprise architecture (EA) is a topic of significant interest among scholars and practitioners, limited empirical research exists examining EA in the context of routinization, use of standards, information technology (IT) flexibility, and enterprise agility. Specifically, the study’s purpose was to explore the routinization of EA and develop a better understanding of how the use of EA standards impact IT flexibility and enterprise agility. The current study used a theoretical lens that combined competence-based theory and diffusion of innovation theory to study the topic of EA. The overarching research question was To what extent do organizational factors such as EA routinization and use of enterprise architecture standards, enabled through the adoption of EA, lead to increases in IT flexibility and enterprise agility?.. The analysis from this study supported the findings that the EA routinization and the use of the EA standards constructs influence IT efficiency, and in turn, IT efficiency influences enterprise agility.

Validation of a Developed Enterprise Architecture Framework for Digitalisation of Smart Cities: a Mixed-Mode Approach

To support smart cities in aligning information technology (IT) and business strategies to achieve urban digitalization, this study aims to present an Enterprise Architecture Framework (EAF) to facilitate the digitalization of urban environments. Technology Acceptance Model (TAM) was employed to design a research model, and a mixed-mode methodology was employed. Quantitative data from survey questionnaires was used to gather data from practitioners in enterprises within Norway and Ireland that currently adopt Enterprise Architecture (EA) in a smart city project to empirically validate the developed EAF. Additionally, the developed EAF layers were validated through a qualitative focus group workshop with participants that utilize the developed EAF to provide digital services in smart cities. The findings suggest that the developed EAF can aid enterprises that provided digital services in identifying and assessing their digitalization initiatives and how EA benefits can be realized. Drawing on the TAM, the developed research model presents factors that influence practitioner’s adoption of EA towards the digitalization of urban environments. More importantly, this study provides empirically validated research on EAF adoption which is scarce.

The Effect of Multidimensional Factors on Organizational Adoption of Enterprise Architecture: The Moderating Role of Organization Type

This study explains the effects of organization type on the relationship between multidimensional factors and enterprise architecture (EA) adoption from the perspective of the organization. This study employs the Technology-Organization-Environment (TOE) framework to develop and test the model to explain EA adoption intention. Despite the importance of EA adoption in the public sector, very few empirical studies examined the key factors of EA adoption by public sector organizations and there remains a paucity of evidence on the moderating effect of organization type in the adoption of EA. This study underpinned the technology adoption model of TOE framework. A questionnaire was operationalized to measure the perceptions of Malaysian public sector organizations towards factors influencing EA adoption intention. Data collected through a survey covering 255 validated responses were analyzed using SMART-PLS tool. The results of the survey suggest that good governance, expected benefits and moderating effect have significant effects on EA adoption intention. In addition, organization type in the Malaysian public sector plays different roles on the relationships of good governance and expected benefit towards organizations’ EA adoption. Interestingly, adequate ICT infrastructure, external support and top management support were found as insignificant factors in this study. The study includes implications for academic researchers, decision-makers and practitioners to understand the influence of multidimensional factors and effectively conclude on the adoption process. The decision-makers can use the EA adoption model as a baseline for boosting EA adoption among MPS organizations.

Adoption of enterprise architecture for healthcare in AeHIN member countries

BackgroundHealthcare organisations are undergoing a major transformational shift in the use of information and digital health technologies. Enterprise architecture (EA) has been incrementally adopted in many healthcare organisations globally to...

Factors That Influence the Adoption of Enterprise Architecture by Public Sector Organizations: An Empirical Study

The adoption of enterprise architecture (EA) is deemed to be low despite EA's substantial benefits to organizations, especially in the public sector, as evidenced by the scarce literature on the EA adoption stage, which focuses on the decision or intention to adopt EA. This research attempts to identify the significant factors that influence EA adoption in the public sector by using the technology-organization-environment framework and organizational theory. The conceptual model was validated using partial least squares structural equation modeling with data collected from 255 key informants from public sector organizations. Empirical results show that clear communication, coercive pressure, expected benefit, good governance, mimetic pressure, normative pressure, and organizational size have a significant influence on the adoption of EA by public sector organizations. Surprisingly, top management support, ICT infrastructure, EA complexity, organizational readiness, and external support have a nonsignificant influence on EA adoption by public sector organizations. The implications of the findings are also discussed in theoretical, contextual, and practical aspects of EA adoption in the context of public sector organizations. This model facilitates decision-makers in focusing only on the significant factors in the organizational and environmental context that influence EA adoption in Malaysian public sector organizations. Subsequently, the findings may contribute to better insights for EA initiators in their EA implementation plan and strategic planning to support EA implementation among Malaysian public sector organizations.

Ascertaining Factors that Influence the Intention to Adopt Enterprise Architecture Among Malaysian Public Sector Organisations – A Pilot Contemplation

Enterprise Architecture provides a holistic view that effectively integrates different domains in business, data, application, and information in organisations. Different notions of Enterprise Architecture (EA) models could be found in the literature which are primarily based on various factors and fragmented perspectives. However, current EA models are more focused on the post-adoption or implementation phase of EA. There is little attention paid on the adoption model of EA. It is also found that the organisational adoption of EA is still missing from technological, organisational, and environmental perspectives. Based on inferences from previous study, very few had attempted to find significant factors using the theoretical approach of Information Systems in the context of EA adoption. Therefore, this research is designed to investigate the factors that influence EA adoption at the organisational level and propose a conceptual model during adoption phase and early phase of the EA cycle. The research method used questionnaires administered to key participants from 23 Malaysian public sector organisations. The findings have shown significant factors influencing the intention to adopt EA. The strength of relationship in coercive pressure was the highest, followed by mimetic pressure. Furthermore, the complexity of EA did not have significant influence on the intention to adopt EA. Therefore, this study has addressed factors from the technological, organisational, and environmental perspectives that could influence the intention to adopt EA among Malaysian public sector organisations. The findings indicate that various pressures were the greatest influence in the adoption of EA.

Institutional Perspectives on the Process of Enterprise Architecture Adoption

Organizations often adopt enterprise architecture (EA) when planning how best to develop their information technology (IT) or businesses, for strategic management, or generally for managing change initiatives. This variety of different uses affects many stakeholders within and between organizations. Because stakeholders have dissimilar backgrounds, positions, assumptions, and activities, they respond differently to changes and the potential problems that emerge from those changes. This situation creates contradictions and conflicts between stakeholders that may further influence project activities and ultimately determine how EA is adopted. In this paper, we examine how institutional pressures influence EA adoption. Based on a qualitative case study of two cases, we show how regulative, normative, and cognitive pressures influence stakeholders’ activities and behaviors during the process of EA adoption. Our contribution thus lies in identifying roles of institutional pressures in different phases during the process of EA adoption and how it changes overtime. The results provide insights into EA adoption and the process of institutionalization, which help to explain emergent challenges in EA adoption.

Enterprise architecture adoption issues and challenges: a systematic literature review

<p>This article on Systematic Literature Review (SLR) provides the issues and challenges faced by organizations when adopting EA. Firstly, a review of literature that discusses the problems and challenges was undertaken. Methods and theories adopted were reviewed to identify the existing approach and perspective on resulting factors that influenced EA adoption. Based on the inclusion and exclusion criteria defined in the review process, 16 articles were selected. A total of 19 challenges and problems were identified such as EA misconceptions, overlapping organizational rules, unclear leadership as well as lack of business and IT alignment. A sum of 15 factors from multidimensional contexts that influenced the EA adoption in the organization were also discussed, such as top management support, governance, communication as well as EA knowledge and skill. This SLR also reflected that there were relatively little empirical studies conducted on EA adoption studies. The existing studies tend to apply single and multiple theories from the organization and management domains in one study. By understanding such issues and challenges, risks can be reduced and avoided when introducing EA to organizations, and subsequently ease the deployment process. Thus, this article may shed light on understanding the organizational-related factors and the underlying relationships of EA adoption. As a result, an effective adoption of EA can be facilitated in the organizations.</p>

Enterprise Architecture Adoption for Higher Education Institutions

Education is considered a pillar of any society. Monitoring the performance of education institutes is of high importance to satisfy its goals. Enterprise Architecture (EA) lends itself well to the goal of monitoring performance in higher education institutions by providing several benefits. Architecture as a profession has existed for long time ago and today there is a myriad of Enterprise Architectures (EA) frameworks to choose from. The approach of the enterprise architecture framework has been used in various industries such as education, health and commerce. This research has chosen TOGAF framework to build a proposed model. The enterprise architecture TOGAF framework has four architectures for analysis. Technology, business, information, and application are the four architectures aspects where they find in any Higher Education Institutions (HEIs). However, this research seeks to model and simulate (HEI) enterprise architecture proposed methodology at Deanship of Graduate Studies (DGS) at King Abdulaziz University. Also, this research provides a detailed evaluation of the development & implementation of adopting HEI proposed methodology in the deanship of graduate studies KAU. As the result of adopting EA at Deanship of Graduate Studies (DGS) at King Abdulaziz University, it contributes to improving architecture performance management to positive levels by optimizing some business processes and automating them, upgrading and simplifying application/technology architectures, increasing the efficiency of the processes to the highest level, enhancing the decision making process in the deanship, and keeping the deanship stakeholders satisfy.

Institutional Logics and Their Influence on Enterprise Architecture Adoption

ABSTRACT Enterprise architecture adoption (EAA), often ironically known as “ineffective adoption,” is frequently marked by poor utilization and signals of failure. To date, comprehensive examinations of which factors influence EAA are lacking. This study aims to address this knowledge gap. The paper uses an interpretive multiple case-study approach using an institutional theory lens to conduct the research. The findings show that three institutional logics dominate EAA: managerialism, professionalism, and user logic. These logics drive stakeholder activities and behaviors and ultimately influence EAA processes and outcomes. The paper contributes to the literature by explaining how these three logics influence the adoption process. Practitioners will be able to use the logics discussed in this study to assess and prevent potential challenges to adoption by carefully examining the stakeholder behaviors and activities embedded in these logics.

What can enterprise architecture do for healthcare A framework of antecedents and benefits

The aim of this study is to provide a consolidated knowledge of the organisational impact of enterprise architecture (EA) healthcare and the factors affecting its adoption and maturity. In this paper, we provide a synthesis based on a systematic review of the EA literature which has implication for both research and practice. First, we provide an overview framework of the antecedents and benefits of EA in healthcare. Second, we present a conceptualisation of four EA activity streams: 1) negotiation; 2) coordination; 3) descriptive; 4) prescriptive activity streams. For researchers, the healthcare EA framework, benefits, factors and lessons described in this review provide the necessary components to make sense of EA adoption and maturity in healthcare. For practitioners, we highlight the need to concurrently build EA capabilities of the four activity streams in order to adequately engage with the techno-organisational change in healthcare.

What can enterprise architecture do for healthcare? A framework of antecedents and benefits

The aim of this study is to provide a consolidated knowledge of the organisational impact of enterprise architecture (EA) healthcare and the factors affecting its adoption and maturity. In this paper, we provide a synthesis based on a systematic review of the EA literature which has implication for both research and practice. First, we provide an overview framework of the antecedents and benefits of EA in healthcare. Second, we present a conceptualisation of four EA activity streams: 1) negotiation; 2) coordination; 3) descriptive; 4) prescriptive activity streams. For researchers, the healthcare EA framework, benefits, factors and lessons described in this review provide the necessary components to make sense of EA adoption and maturity in healthcare. For practitioners, we highlight the need to concurrently build EA capabilities of the four activity streams in order to adequately engage with the techno-organisational change in healthcare.

The Role of Top Management Commitment in Enterprise Architecture Development in Governmental Organizations

Governmental organizations adopt Enterprise Architecture (EA) not only to enhance their performance and efficiency but also to move toward e-government implementation. The article at hand investigates the EA development obstacles in governmental organizations. An interpretivist paradigm using the Grounded Theory Methodology was selected to carry out this study. The data were collected through semi-structured interviews with 9 governmental organizations in Iran. In total, 17 obstacles were identified. This study revealed the precedence in addressing EA development obstacles and top management commitment category was identified as a category that has the highest impact on the EA projects. It was realized that the commitment that top management levels of the organizations show toward EA development projects, motivates employees to effectively engage with the projects. In addition, a committed top manager assigns adequate resources to the EA project in order to prepare the infrastructure of the company. In this study, government and politics category appeared to be a category of external obstacles that affects most of the other categories directly or indirectly. This study contributes to industry and academia by investigating the EA development obstacles.

A Systematic Review of Enterprise Architecture Adoption Models

This article provides a systematic review of the Enterprise Architecture (EA) adoption model. Firstly, an analysis of the literature discussing the current EA adoption models was undertaken. The EA adoption models were reviewed to identify which adoption phase can be connected. This paper also discusses the limitations of the models. Based on the inclusion and exclusion criteria defined in the review process, 13 articles were reviewed. There are 13 different EA adoption models across the number of adoption phases which were selected from 13 articles. A total of 11 adoption models were designed for the post-adoption phase and applicable for the EA implementation phase and two (2) adoption models were formulated for adoption phase. This SLR reflected that there was relatively little research conducted in the adoption phase. Previous scholars had adopted one or a combination of different underpinning theories in their studies to identify the existing approach and perspective formulating EA adoption model. The finding also revealed the limitation of previous studies such as generalizability and fragmented perspective. Therefore, this review will provide further investigation into the potential development of EA adoption model at an early stage that could provide wide-ranging and rational views of business, information, and technology for the organisation.

Enterprise Architecture Development Approach in the Public Sector

Despite the increasing interest to adopt enterprise architecture (EA) concept, there is a scarcity of literature that discusses the development of EA in the public sector. Hence, the purpose of this article is to empirically investigate the development approach of EA in the public sector. The research used a qualitative case study to build an in-depth understanding of the development approach as well as the enterprise architects roles and the stakeholders' roles played at each development stage. The government architecture framework (GAF) of the Omani public sector was used as the case study that included GAF documentation review and interviews with architects and stakeholders who participated in the development of GAF. The findings showed that the GAF development started by establishing architecture knowledge, EA frameworks & IT standards analysis, high-level architecture framework, working group formation and the development of architecture documents. The enterprise architects had six roles whereas the stakeholders played three roles during the development of GAF. The findings are expected to expand the knowledge of the EA development approach to promote developing a standard EA framework for the public sector.

Enterprise Architecture Adoption Challenges: An exploratory Case Study of the Norwegian Higher Education Sector

IT is a challenge to implement Enterprise Architecture (EA) in an organisation. This is also the case in the public sector, like public universities and colleges. There is a very limited research on such issues. It is therefore important to investigate how AE is implemented in various sectors, which benefits are realised and which challenges are most prominent. This interpretive case study investigates the efforts taken towards a common EA in the Norwegian higher education sector. We find that the progress was severely impeded by the lack of top level directions from the ministry, the lack of an overarching architecture council, and the lack of EA competence at the top management level at the individual institutions. The perceived most important benefits were business agility, economies of scale and better decision making.

Analysing enterprise architecture maturity models: a learning perspective

ABSTRACTIn 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.