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Published on: October 6, 2020
A hybrid method for evaluating enterprise architecture implementation.
Fatemeh Nikpay1, Rodina Ahmad1, Chiam Yin Kia1
1Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia.
This study introduces a new hybrid method for evaluating Enterprise Architecture (EA) implementation, addressing limitations in current models. The developed approach enhances EA project success through structured evaluation practices.
Area of Science:
- Information Systems
- Computer Science
- Management Science
Background:
- Existing Enterprise Architecture (EA) evaluation models lack comprehensiveness, failing to integrate all EA functions and processes.
- Current models often lack structured methodologies, mature practices, and appropriate metrics for effective EA implementation evaluation.
- There is a need for improved evaluation practices to ensure EA initiatives align with organizational objectives.
Purpose of the Study:
- To develop a novel hybrid evaluation method for Enterprise Architecture (EA) implementation.
- To address the identified shortcomings in existing EA evaluation models.
- To provide a practical and effective tool for assessing EA project success.
Main Methods:
- A Systematic Literature Review (SLR) was conducted to identify current EA implementation evaluation practices.
- A hybrid evaluation method was developed, integrating findings from the SLR, expert interviews, program theory, and Information Systems (ISs) evaluation.
- Validation was performed through a case study and expert reviews to assess the method's efficacy.
Main Results:
- The research identified key practices and gaps in existing EA implementation evaluation.
- A hybrid evaluation method was successfully developed, combining multiple theoretical and practical approaches.
- The proposed method demonstrated effectiveness and practicality during case study validation and expert reviews.
Conclusions:
- The developed hybrid evaluation method offers a robust and lightweight solution for assessing EA implementation.
- This research provides a foundation for future studies and practical application by EA practitioners.
- The new method enhances the ability to achieve objectives in EA implementation projects through improved evaluation.
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