TY - GEN
T1 - Evaluation Models of Enterprise Architecture Implementation for Digital Transformation
T2 - 9th International Conference on Informatics and Computing, ICIC 2024
AU - Muhaemin,
AU - Budiardjo, Eko K.
AU - Suryono, Ryan Randy
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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, 21% 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.
AB - 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, 21% 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.
KW - Digital Transformation
KW - EA Evaluation
KW - EA implementation
KW - Enterprise Architecture
KW - Organizational Benefit
KW - Systematic Literature Review
UR - http://www.scopus.com/inward/record.url?scp=105004584982&partnerID=8YFLogxK
U2 - 10.1109/ICIC64337.2024.10957549
DO - 10.1109/ICIC64337.2024.10957549
M3 - Conference contribution
AN - SCOPUS:105004584982
T3 - 2024 9th International Conference on Informatics and Computing, ICIC 2024
BT - 2024 9th International Conference on Informatics and Computing, ICIC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 October 2024 through 25 October 2024
ER -