The measurement of end-user computing satisfaction
MIS Quarterly
An investigation of the relative presentation efficiency of computer-displayed graphs
Information and Management
Task-technology fit and individual performance
MIS Quarterly
Understanding user evaluations of information systems
Management Science
Assessing IT usage: the role of prior experience
MIS Quarterly
A structural model of end user computing satisfaction and user performance
Information and Management
The consequences of information technology acceptance on subsequent individual performance
Information and Management
Material matters: assessing the effectiveness of materials management IS
Information and Management
Information and Management
An investigation of task-technology fit for managers in Greece and the US
European Journal of Information Systems
Assessing software maintenance tool utilization using task-technology fit and fitness-for-use models
Journal of Software Maintenance: Research and Practice
Beyond the interface: ease of use and task/technology fit
Information and Management
A contingency examination of CASE-task fit on software developer's performance
European Journal of Information Systems
System usage behavior as a proxy for user satisfaction: an empirical investigation
Information and Management
The measurement of user information satisfaction
Communications of the ACM
User evaluations of IS as surrogates for objective performance
Information and Management
Information Systems Success Revisited
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 8 - Volume 8
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
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.