1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

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

      1 , 2
      Journal of Management
      SAGE Publications

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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 efficacy within the more general area of managerial decision making.

          Related collections

          Most cited references45

          • Record: found
          • Abstract: not found
          • Article: not found

          User Acceptance of Computer Technology: A Comparison of Two Theoretical Models

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication

              Bookmark
              • Record: found
              • Abstract: not found
              • Book: not found

              Judgment under Uncertainty : Heuristics and Biases

                Bookmark

                Author and article information

                Journal
                Journal of Management
                Journal of Management
                SAGE Publications
                0149-2063
                1557-1211
                February 1996
                June 30 2016
                February 1996
                : 22
                : 1
                : 85-111
                Affiliations
                [1 ]University of Illinois
                [2 ]San Francisco
                Article
                10.1177/014920639602200104
                fcd6c4e1-418d-42b1-a55a-95c07431bd0b
                © 1996

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content300

                Cited by13

                Most referenced authors366