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Toward a New Real-Time Approach for Group Consensus: A Usability Analysis of Synchronous Delphi System

Author

Listed:
  • Hsin-Ke Lu

    (National Taipei University of Nursing and Health Sciences
    Taipei City Goverment)

  • Sung-Chun Tsai

    (National Taipei University of Education)

  • Peng-Chun Lin

    (Chinese Culture University
    Taipei City Goverment)

  • Kuo-Chung Chu

    (National Taipei University of Nursing and Health Sciences)

  • Alexander N. Chen

    (Central Arkansas University)

Abstract

The Delphi method is widely used in the fields of education, society, and medicine to achieve consensus and convergence of expert opinions. However, the Delphi method is limited in terms of the temporal and spatial issues to elicit the convergence of the experts’ views; therefore, many studies have aimed to modify its design to improve expert participation for decision convergence. This study proposes a theoretical framework for the synchronous Delphi method that integrates the interaction of the experts to ensure the convergence of the member function of decision making. A case study adopting the proposed method was conducted to synthesize the key factors needed for IT experts in Taiwan to use server virtualization technology. The Software Usability Measurement Inventory (SUMI) was used to analyze its usability. The result showed that the method’s scores in efficiency, affect, learnability and global (general satisfaction) were higher than 60, which was 10% higher than average. In addition, the scores for helpfulness and controllability were 7% higher than average.

Suggested Citation

  • Hsin-Ke Lu & Sung-Chun Tsai & Peng-Chun Lin & Kuo-Chung Chu & Alexander N. Chen, 2020. "Toward a New Real-Time Approach for Group Consensus: A Usability Analysis of Synchronous Delphi System," Group Decision and Negotiation, Springer, vol. 29(2), pages 345-370, April.
    • Handle: RePEc:spr:grdene:v:29:y:2020:i:2:d:10.1007_s10726-020-09661-7
    DOI: 10.1007/s10726-020-09661-7
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    References listed on IDEAS

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    1. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    2. Mark M. Miller, 1993. "Enhancing Regional Analysis With The Delphi Method," The Review of Regional Studies, Southern Regional Science Association, vol. 23(2), pages 191-212, Fall.
    3. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    4. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
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