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Human Resource Management through AI Approach: An Experimental Study of an Expert System

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IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012
© 2012 by IJCA Journal
CTNGC - Number 3
Year of Publication: 2012
Authors:
Pooja Tripathi
Jayanthi Ranjan
Tarun Pandeya

Pooja Tripathi, Jayanthi Ranjan and Tarun Pandeya. Article: Human Resource Management through AI Approach: An Experimental Study of an Expert System. IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012 CTNGC(3):23-27, November 2012. Full text available. BibTeX

@article{key:article,
	author = {Pooja Tripathi and Jayanthi Ranjan and Tarun Pandeya},
	title = {Article: Human Resource Management through AI Approach: An Experimental Study of an Expert System},
	journal = {IJCA Proceedings on National Conference on Communication Technologies & its impact on Next Generation Computing 2012},
	year = {2012},
	volume = {CTNGC},
	number = {3},
	pages = {23-27},
	month = {November},
	note = {Full text available}
}

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 in the teaching and learning process, the results are useful as one test of expert system efficacy within the more general area of managerial decision making.

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