Dynamics of Enterprise Architecture in the Korean Public Sector: Transformational Change vs. Transactional Change

Nam, Kichan; Oh, Seung Woon; Kim, Sung-Kun; Goo, Jahyun; Khan, M. Sajid

doi:10.3390/su8111074

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…In their case studies, they found EA failures were more likely caused by communication and commitment problems. In contrast, Nam et al (2016) argued that EA methodology applied to a single organization tends to fail when EA is applied at the national level by the central government to aggregate diverse agencies and organizations.…”

Section: Ea Failure Factors From the Literaturementioning

confidence: 99%

“…Furthermore, environmental volatility could result in turbulence and whimsicality of the organizational environment, reduce the value of planning exercises, and discourage stakeholders from participating in EA development (Kurnia et al, 2021). (Nam et al, 2016;Safari et al, 2016) F13 The high complexity of organizations, their IT landscapes, and institutional context (Ajer et al, 2021;Kurnia et al, 2021) F14 Organizational politics and conflicts (Ajer et al, 2021;Kurnia et al, 2021) F15 Too dynamic environment (Kurnia et al, 2021) There are limited studies in literature focusing on the failures of EA implementation. Often, various factors influencing EA implementation are discussed as challenges (e.g., Löhe & Legner 2014), risks (e.g., Safari et al, 2016) or inhibitors (Kurnia et al, 2021).…”

Section: Ea Failure Factors From the Literaturementioning

confidence: 99%

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Why Organizations Fail in Implementing Enterprise Architecture Initiatives?

Gong

Janssen

2022

Inf Syst Front

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Enterprise architecture (EA) initiatives consist of functions, processes, tools, instruments, and principles to guide the design of IT and its alignment with business. EA is often presented as a silver bullet to ensure that IT contributes to business. Yet, many EA initiatives do not work out or even fail, but in the literature this area is undertheorized. This study aims to understand the factors influencing the failure of EA initiatives. We identified 15 factors and invited 8 EA experts to evaluate the factors and their influence based on an approach combining grey systems theory, Decision-Making and Trial Evaluation Laboratory (DEMATEL), and Interpretative Structural Modeling (ISM). The findings indicate that the factors are correlated and interwoven in complex causal chains. This study reveals the root factor and suggests enhancing high-level managers' EA knowledge and ensuring communication and leadership skills of enterprise architects as the starting point to avoid EA failure. Only later, organizing the EA function becomes important.

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Section: Ea Failure Factors From the Literaturementioning

confidence: 99%

Section: Ea Failure Factors From the Literaturementioning

confidence: 99%

Why Organizations Fail in Implementing Enterprise Architecture Initiatives?

Gong

Janssen

2022

Inf Syst Front

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“…Factors affecting adoption of different stages of e-government development at local institutions level have been related to organizational factors, among others (Nam et al, 2016;Nasi et al, 2011;Müller & Skau, 2015;Ziemba et al, 2013). Other factors are related to economic (financial capacity, competition on ICT market, ICT education, economic risks, etc.…”

Section: Stages Of E-government Developmentmentioning

confidence: 99%

Development of e-government in the field of social services and benefits: Evidence from Romania

Marin¹

2022

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This paper investigates from a comparative perspective the development of e-government in the field of social services and benefits for the case of Romania. The analysis takes into account the global context of the COVID-19 pandemic, where there has been an increased usage of ICT technology and new circumstances for delivering social services. Therefore, the analysis will examine whether there has been an impetus for developing e-government social services in Romania. Research questions address whether there is a difference in the availability of electronic delivery of social services and benefits during the pandemic period and examine potential differences between types of services and benefits, counties/regions and types of institutions (central, regional/county, local – mayoralties/urban and rural municipalities). Additionally, informative procedures available in 2021 are examined. The analysis revealed that there is no standardized set of available electronic procedures from similar institutions. The most eloquent case is the one of deconcentrated institutions, County Agencies for Payments and Social Inspection, which are subordinated to the same central level institution – Ministry of Labor. However, the study outlines a development on the total number of available procedures for social services and benefits. Significant improvements are needed to standardize the same procedures from different institutions, irrespective of their type of affiliated territory.

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“…In their case studies, they found EA failures were more likely caused by communication and commitment problems. In contrast, Nam, Oh, Kim, Goo and Khan [25] argued that EA methodology applied to a single organization tends to fail when EA is applied at the national level by the central government to aggregate diverse agencies and organizations.…”

Section: Introductionmentioning

confidence: 99%

Exploring Causal Factors Influencing Enterprise Architecture Failure

Gong

Janssen

2020

Re-Imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

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Organizations have adopted Enterprise Architecture (EA) for managing their IT-landscape and ensuring coherence among projects and activities. There is much work about approaches, methods, and tools for EA based on the assumption that their use will create business value. However, the failure of many EA efforts results in the need to investigate the factors influencing EA failure in practice. In this paper, we used a literature review to identify ten EA failure factors. Then we employed the grey-DEMATEL method to explore and analyze the influence of the ten EA failure factors based on the input of five EA experts. The result shows that failure factors are not in isolation, and they can be divided into either causal or effect factors. The factors do not have equal importance but differ in the levels of influence. For the causal factors, the ranking from most to least important is the inability to handle complexity, lack of proven EA methodology, lack of EA knowledge, lack of communication, and lack of tools. For the effect factors, the factors are a lack of support, too high effort, lack of motivation, parallel processes, and unused artifacts. We recommend practitioners to pay more attention to the five causal factors in their EA efforts. Further research is needed to generalize the findings, to understand the dependencies among factors, and to take into account situational dependency of EA failure.

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Dynamics of Enterprise Architecture in the Korean Public Sector: Transformational Change vs. Transactional Change

Cited by 8 publications

References 20 publications

Why Organizations Fail in Implementing Enterprise Architecture Initiatives?

Why Organizations Fail in Implementing Enterprise Architecture Initiatives?

Development of e-government in the field of social services and benefits: Evidence from Romania

Exploring Causal Factors Influencing Enterprise Architecture Failure

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