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The Impact of Expert Decision Support Systems on the Performance of New Employees

Author

Listed:
  • Lucila P. Cascante

    (Guayaquil, Ecuador)

  • Michel Plaisent

    (University of Quebec in Montreal, Canada)

  • Lassana Maguiraga

    (University of Quebec in Montreal, Canada)

  • Prosper Bernard

    (University Consortium of the Americas, USA)

Abstract

Decision support technology, expert systems, executives information systems, and artificial neural networks have been reported to be useful tools to enhance the performance of managers as they helped them to gain more knowledge, experiences, and expertise and consequently enhance the quality of the decision making. They can also be used as a training tool to transfer the knowledge of the expert to middle and top management and thus improve the performance of new employees. This communication reports the conclusions of a study conducted to verify the impact of the use of the EDSS technology (expert decision support systems) on the performance and satisfaction of new employees in the business world. A laboratory experiment using the control groups and the treatment groups was held to test the research model. The results indicate that EDSS technologies do have a positive impact on the performance of the users.

Suggested Citation

  • Lucila P. Cascante & Michel Plaisent & Lassana Maguiraga & Prosper Bernard, 2002. "The Impact of Expert Decision Support Systems on the Performance of New Employees," Information Resources Management Journal (IRMJ), IGI Global, vol. 15(4), pages 64-78, October.
    • Handle: RePEc:igg:rmj000:v:15:y:2002:i:4:p:64-78
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    Cited by:

    1. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).

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