Empirical investigation of critical success factors for implementing business intelligence systems in multiple engineering asset management organisations

Yeoh, William, Gao, Jing and Koronios, Andy 2009, Empirical investigation of critical success factors for implementing business intelligence systems in multiple engineering asset management organisations, in Information systems research methods, epistemology, and applications, Information Science Reference, Hershay, Pa., pp.247-271.

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Title Empirical investigation of critical success factors for implementing business intelligence systems in multiple engineering asset management organisations
Author(s) Yeoh, William
Gao, Jing
Koronios, Andy
Title of book Information systems research methods, epistemology, and applications
Editor(s) Cater-Steel, Aileen
Al-Hakim, Latif
Publication date 2009
Chapter number 14
Total chapters 19
Start page 247
End page 271
Total pages 25
Publisher Information Science Reference
Place of Publication Hershay, Pa.
Summary Engineering asset management organisations (EAMOs) are increasingly motivated to implement business intelligence (BI) systems in response to dispersed information environments and compliance requirements. However, the implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet, so far, there are few defined critical success factors (CSFs) to which management can refer. Drawing on the CSFs framework derived from a previous Delphi study, a multiple-case design was used to examine how these CSFs could be implemented by five EAMOs. The case studies substantiate the construct and applicability of the CSFs framework. These CSFs are: committed management support and sponsorship, a clear vision and well-established business case, business-centric championship and balanced team composition, a business-driven and iterative develop ment approach, user-oriented change management, a business-driven, scalable and flexible technical framework, and sustainable data quality and integrity. More significantly, the study further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.
ISBN 9781605660400
160566040X
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1.1 Book chapter
Copyright notice ©2009, IGI Global
Persistent URL http://hdl.handle.net/10536/DRO/DU:30035809

Document type: Book Chapter
Collection: School of Information and Business Analytics
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