An Experimental Study of Performance Information Systems

Andrew D. Luzi and Kenneth D. Mackenzie
Additional contact information
Andrew D. Luzi: Pennsylvania State University
Kenneth D. Mackenzie: University of Kansas

Management Science, 1982, vol. 28, issue 3, 243-259

Abstract: Performance information systems minimally consist of a performance standard, performance measurement, incentives to match performance to the standard, and periodic reports on performance. In this study four performance information systems are imposed on laboratory groups solving simple routine problems. These included speed, minimum messages, minimum error, and voting. There was a control condition with no explicit, performance information system. In aggregate, the groups tried to meet the assigned standard of performance. The performance information systems also set into motion other group processes resulting in numerous sensible but unanticipated consequences. It was not possible to conclude that the explicit performance information systems improved overall performance. The choice of performance information system did affect the task processes, the choice of structure, and the involvement in task supporting processes. The variability of behavior within each group suggests caution in widespread application of performance information systems.

Keywords: performance incentives; information systems; organization design (search for similar items in EconPapers)
Date: 1982
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.28.3.243 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:28:y:1982:i:3:p:243-259

Access Statistics for this article

More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().