Artificial Intelligence in HRM:  An Experimental Study of an Expert System

Lawler, John J.; Francisco, San

dc.contributor.author	Lawler, John J.
dc.contributor.author	Francisco, San
dc.date.accessioned	2025-02-20T05:58:14Z
dc.date.available	2025-02-20T05:58:14Z
dc.date.issued	1996
dc.identifier.uri	http://digitalrepository.cipmlk.org/handle/1/636
dc.description.abstract	This study investigates the impact of an expert system used as a decision aid in a job evaluation system. Both performance outcomes and psychological outcomes are analyzed in an experiment in which the intended users of the expert system served as subjects. The study draws largely from behavioral decision theory for its theoretical support. Although this study examines an expert system within an HRM context, the results are useful as one test of expert system efJcacy within the more general area of managerial decision making.	en_US
dc.language.iso	en	en_US
dc.publisher	Sage Publisher	en_US
dc.relation.ispartofseries	Journal of Management;22(1)
dc.subject	Artificial Intelligence, Human Resource Management, Expert System	en_US
dc.title	Artificial Intelligence in HRM: An Experimental Study of an Expert System	en_US
dc.type	Article	en_US