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 Summary As competitive pressures increase, managers try to realize every bit of productivity from people, business processes and new information technologies (IT). This leads one to ask, how can managers configure information systems to achieve higher levels of performance from end users? In this regard, managers continually seek advice on how to meet the promises and expectations of continued increases in productivity through the use of IT. However, results from research on how to achieve higher performance through the use of IT in organizations has been mixed. Consequently, it has been difficult for IS researchers to give managers any advice on investing in specific aspects of IS that would lead to the highest performance possible. We focus on this question in this research. We use a data mining approach to tease out information about specific characteristics of IS that managers can manipulate to achieve desired outcomes with regards to individual performance. Our findings offer both researchers and managers significant new knowledge that can make a difference to IT user performance research theory and the practice of user performance management. Further, our research method offers a novel approach to linking theory and practice in IS research, a problem that is of great concern to many IS researchers. The approach is generalized and can be implemented by academic or industry researchers who are interested in generating hypotheses from data for the purpose of theoretical or applied research. 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 Elements publication management system Go to link with your DU access privileges   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 Filtered Full Citation counts:   Cited 8 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Tue, 31 Jan 2017, 10:11:06 EST

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.