Evaluation Models of Enterprise Architecture Implementation for Digital Transformation: A Systematic Literatur Review

Academics and practitioners have tried to evaluate the implementation of Enterprise Architecture (EA) by making various evaluation models according to the focus and objectives to measure the success and usefulness of EA implementation for the organization. Although there have been many EA evaluation models with different focuses, defining a comprehensive model to measure the success of EA programs and have organizational benefits is still a challenge. This study aims to re-view various methods and models of evaluating the success and usefulness of EA for the organization, the independent variables used, and the impact of the EA implementation. By using a systematic literature review (SLR) of research from 2016 to 2023, our study has found that $42 \%$ of EA evaluations focus on organizational benefits, $\mathbf{2 1 \%}$ focus on successful implementation of EA, 13 % focus on EA adoption, and 8% focus on business-IT alignment. Meanwhile, other studies have a specific focus according to the research motivation. These studies include evaluating EA based on: EA risks (4%), firm agility (4%), obstacles to the implementation of EA (4%), and quality of IT investment decisions (4%). The independent variables used in the studies are categorized into EA product quality, EA service, EA process, EA governance, EA organizational, and EA communication. Most theories used to determine the independent variables are based on an underlying theory or framework, such as resource-based theory (four studies) or grounded theory (five studies). Recommendations for related evaluations of EA are also mentioned at the end of this review.

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Published
2024-10-24
DOI
https://doi.org/10.1109/icic64337.2024.10957549
Primary Topic
Information Technology Governance and Strategy
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article
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article

Evaluation Models of Enterprise Architecture Implementation for Digital Transformation: A Systematic Literatur Review

Eko K. Budiardjo, Ryan Randy Suryono, Muhaemin
Information Technology Governance and Strategy
article

Evaluation Models of Enterprise Architecture Implementation for Digital Transformation: A Systematic Literatur Review

Eko K. Budiardjo, Ryan Randy Suryono, Muhaemin
article en

Abstract

Academics and practitioners have tried to evaluate the implementation of Enterprise Architecture (EA) by making various evaluation models according to the focus and objectives to measure the success and usefulness of EA implementation for the organization. Although there have been many EA evaluation models with different focuses, defining a comprehensive model to measure the success of EA programs and have organizational benefits is still a challenge. This study aims to re-view various methods and models of evaluating the success and usefulness of EA for the organization, the independent variables used, and the impact of the EA implementation. By using a systematic literature review (SLR) of research from 2016 to 2023, our study has found that $42 \%$ of EA evaluations focus on organizational benefits, $\mathbf{2 1 \%}$ focus on successful implementation of EA, 13 % focus on EA adoption, and 8% focus on business-IT alignment. Meanwhile, other studies have a specific focus according to the research motivation. These studies include evaluating EA based on: EA risks (4%), firm agility (4%), obstacles to the implementation of EA (4%), and quality of IT investment decisions (4%). The independent variables used in the studies are categorized into EA product quality, EA service, EA process, EA governance, EA organizational, and EA communication. Most theories used to determine the independent variables are based on an underlying theory or framework, such as resource-based theory (four studies) or grounded theory (five studies). Recommendations for related evaluations of EA are also mentioned at the end of this review.

University of Indonesia (ID), Universitas Teknokrat Indonesia (ID)
Industry, innovation and infrastructure
Openalex Percentile: Top 54%
Information Technology Governance and Strategy
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