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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.

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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
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