Author
Listed:
- Babak Darvish Rouhani
(Advanced Informatics School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia)
- Mohd Naz'ri Mahrin
(Advanced Informatics School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia)
- Hossein Shirazi
(Faculty of Information and Communication Technology, Malek Ashtar University of Technology, Tehran, Iran)
- Fatemeh Nikpay
(Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia)
- Bita Darvish Rouhani
(Electronic and Computer Engineering, Rice University, Houston, TX, USA)
Abstract
Enterprise Architecture (EA) is employed by enterprises for providing integrated environment to support the alignment of enterprise's business and Information Technology (IT). EA Implementation Methodology (EAIM) provides methods for managing, developing, and maintaining EA implementation. Several EAIMs have been proposed in literature; however effectiveness of EAIM has mostly been anecdotal, and research on this subject is still scant in the academic circles. This research is a survey study on the factors that affect the effectiveness of EAIM using quantitative approach. This study aims to explore the factors that affect the effectiveness of EAIM and proposed the effectiveness model for EAIMs. The exploratory factor analysis highlights a specific set of five factors: alignment, adaptiveness, support, binding, and innovation. The regression analysis shows that there is a statistically significant and positive relationship between each of the five factors and the effectiveness of EAIM. The findings contribute to the measurement of the EA implementation's effectiveness by providing an indication of the measurement implementation approaches which is used by the EA practitioners. Moreover, the proposed model can be used on developing an effective EAIM.
Suggested Citation
Babak Darvish Rouhani & Mohd Naz'ri Mahrin & Hossein Shirazi & Fatemeh Nikpay & Bita Darvish Rouhani, 2015.
"An Effectiveness Model for Enterprise Architecture Methodologies,"
International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 11(2), pages 50-64, April.
Handle:
RePEc:igg:jeis00:v:11:y:2015:i:2:p:50-64
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