Re-examining information systems user performance: using data mining to identify properties of IS that lead to highest levels of user performance Kositanurit, Boontaree, Osei-Bryson, Kweku-Muata and Ngwenyama, Ojelanki 2011, Re-examining information systems user performance: using data mining to identify properties of IS that lead to highest levels of user performance, Expert systems with applications, vol. 38, no. 6, pp. 7041-7050, doi: 10.1016/j.eswa.2010.12.011. Attached Files Name Description MIMEType Size Downloads Title Re-examining information systems user performance: using data mining to identify properties of IS that lead to highest levels of user performance Author(s) Kositanurit, Boontaree Osei-Bryson, Kweku-Muata Ngwenyama, Ojelanki Journal name Expert systems with applications Volume number 38 Issue number 6 Start page 7041 End page 7050 Total pages 10 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2011-06 ISSN 0957-4174 Language eng DOI 10.1016/j.eswa.2010.12.011 Field of Research 080605 Decision Support and Group Support Systems Socio Economic Objective 970110 Expanding Knowledge in Technology HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2010, Elsevier Ltd. Persistent URL http://hdl.handle.net/10536/DRO/DU:30090900 Document type: Journal Article Collection: Department of Information Systems and Business Analytics Related Links Link Description Connect to published version 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. Versions Version Filter Type Tue, 31 Jan 2017, 10:01:16 EST Tue, 31 Jan 2017, 10:05:43 EST Tue, 31 Jan 2017, 10:11:06 EST Wed, 01 Feb 2017, 04:00:29 EST Wed, 01 Feb 2017, 07:44:40 EST Fri, 24 Feb 2017, 05:06:04 EST Tue, 07 Mar 2017, 15:11:03 EST Tue, 07 Mar 2017, 15:12:45 EST Wed, 08 Mar 2017, 11:00:42 EST Thu, 15 Feb 2018, 12:17:52 EST Filtered Full Citation counts:   Cited 9 times in TR Web of Science Cited 10 times in Scopus Search Google Scholar Access Statistics: 89 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Tue, 31 Jan 2017, 10:11:06 EST

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