Critical success factors for business intelligence systems Yeoh, William and Koronios, Andy 2010, Critical success factors for business intelligence systems, Journal of computer information systems, vol. 50, no. 3, Spring, pp. 23-32. Attached Files Name Description MIMEType Size Downloads yeoh-criticalsuccess-2010.pdf Published version application/pdf 426.86KB 13858 Title Critical success factors for business intelligence systems Author(s) Yeoh, William orcid.org/0000-0002-2964-4518 Koronios, Andy Journal name Journal of computer information systems Volume number 50 Issue number 3 Season Spring Start page 23 End page 32 Total pages 10 Publisher International Association for Computer Information Systems Place of publication [Stillwater, Okla] Publication date 2010 ISSN 0887-4417 Summary The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results. Language eng Field of Research 080399 Computer Software not elsewhere classified Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2010, International Association for Computer Information Systems Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30033043 Document type: Journal Article Collections: School of Information and Business Analytics Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 01 Mar 2011, 13:33:43 EST Tue, 01 Mar 2011, 13:35:02 EST Tue, 01 Mar 2011, 13:35:37 EST Tue, 19 Jul 2011, 13:02:17 EST Tue, 21 Feb 2012, 14:52:51 EST Fri, 09 Mar 2012, 08:49:28 EST Mon, 28 Oct 2013, 09:16:59 EST Thu, 11 Dec 2014, 16:55:38 EST Tue, 06 Sep 2016, 16:33:36 EST Tue, 05 Dec 2017, 10:47:32 EST Fri, 07 Sep 2018, 15:17:57 EST Filtered Full Citation counts:   Cited 168 times in TR Web of Science Cited 256 times in Scopus Search Google Scholar Access Statistics: 15394 Abstract Views, 13858 File Downloads  -  Detailed Statistics Created: Tue, 01 Mar 2011, 13:33:37 EST by Leanne Swaneveld