Conceptual knowledge relationship model of enterprise architecture and top management roles
Enterprise Architecture (EA) continues to gain global recognition as a management tool that would improve the organization’s performance. The literature review reveals that the alignment of EA with that of the business strategy was not achieved due to inadequate EA knowledge at Top Management (TM) l...
Published in: | ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems |
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2-s2.0-85054376259 Ahmad H.; Ahmad A.; Hafaz N.H.N.A. Conceptual knowledge relationship model of enterprise architecture and top management roles 2015 ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054376259&partnerID=40&md5=6d6146fd65b189d7f7b262a54a584789 Enterprise Architecture (EA) continues to gain global recognition as a management tool that would improve the organization’s performance. The literature review reveals that the alignment of EA with that of the business strategy was not achieved due to inadequate EA knowledge at Top Management (TM) level. This study aims to gauge the level of EA knowledge required at TM level to enable the creation of EA that would enable the alignment of strategic business vision with that of EA. A semi-structured interview was conducted with several personnel in an organization. Data were analyzed using the constant comparative method. This study identified that the TM need to have understanding to two sets of EA knowledge, viz, business process management (BPM) and technology knowledge. A conceptual knowledge relationship model is proposed through synthesizing the roles of EA and TM in supporting the TM in identifying the EA knowledge required. The findings gave contribution to academicians and practitioners with knowledge of how to improve EA assimilation and a structured roadmap for understanding EA to achieve high business value. © 2015 authors. Association for Information Systems English Conference paper |
author |
Ahmad H.; Ahmad A.; Hafaz N.H.N.A. |
spellingShingle |
Ahmad H.; Ahmad A.; Hafaz N.H.N.A. Conceptual knowledge relationship model of enterprise architecture and top management roles |
author_facet |
Ahmad H.; Ahmad A.; Hafaz N.H.N.A. |
author_sort |
Ahmad H.; Ahmad A.; Hafaz N.H.N.A. |
title |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
title_short |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
title_full |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
title_fullStr |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
title_full_unstemmed |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
title_sort |
Conceptual knowledge relationship model of enterprise architecture and top management roles |
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2015 |
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ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054376259&partnerID=40&md5=6d6146fd65b189d7f7b262a54a584789 |
description |
Enterprise Architecture (EA) continues to gain global recognition as a management tool that would improve the organization’s performance. The literature review reveals that the alignment of EA with that of the business strategy was not achieved due to inadequate EA knowledge at Top Management (TM) level. This study aims to gauge the level of EA knowledge required at TM level to enable the creation of EA that would enable the alignment of strategic business vision with that of EA. A semi-structured interview was conducted with several personnel in an organization. Data were analyzed using the constant comparative method. This study identified that the TM need to have understanding to two sets of EA knowledge, viz, business process management (BPM) and technology knowledge. A conceptual knowledge relationship model is proposed through synthesizing the roles of EA and TM in supporting the TM in identifying the EA knowledge required. The findings gave contribution to academicians and practitioners with knowledge of how to improve EA assimilation and a structured roadmap for understanding EA to achieve high business value. © 2015 authors. |
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Scopus |
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1809677911750344704 |