IDEAS home Printed from https://ideas.repec.org/a/spr/grdene/v29y2020i2d10.1007_s10726-020-09661-7.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10726-020-09661-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10726-020-09661-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Prommer, Lisa & Tiberius, Victor & Kraus, Sascha, 2020. "Exploring the future of startup leadership development," Journal of Business Venturing Insights, Elsevier, vol. 14(C).
    2. Prianto Budi Saptono & Gustofan Mahmud & Intan Pratiwi & Dwi Purwanto & Ismail Khozen & Muhamad Akbar Aditama & Siti Khodijah & Maria Eurelia Wayan & Rina Yuliastuty Asmara & Ferry Jie, 2023. "Development of Climate-Related Disclosure Indicators for Application in Indonesia: A Delphi Method Study," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    3. Di Zio, Simone & Bolzan, Mario & Marozzi, Marco, 2021. "Classification of Delphi outputs through robust ranking and fuzzy clustering for Delphi-based scenarios," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Alyami, Saleh. H. & Rezgui, Yacine & Kwan, Alan, 2013. "Developing sustainable building assessment scheme for Saudi Arabia: Delphi consultation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 43-54.
    5. Georg Aichholzer, 2002. "Das ExpertInnen-Delphi: methodische Grundlagen und Anwendungsfeld ‘Technology Foresight‘ (The Expert Delphi: Methodology and Application in 'Technology Foresight')," ITA manu:scripts 02_01, Institute of Technology Assessment (ITA).
    6. Hayes, Tom, 2007. "Delphi study of the future of marketing of higher education," Journal of Business Research, Elsevier, vol. 60(9), pages 927-931, September.
    7. Haarhaus, Tim & Liening, Andreas, 2020. "Building dynamic capabilities to cope with environmental uncertainty: The role of strategic foresight," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    8. Ribeiro, Barbara E. & Quintanilla, Miguel A., 2015. "Transitions in biofuel technologies: An appraisal of the social impacts of cellulosic ethanol using the Delphi method," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 53-68.
    9. Yeh, Duen-Yian & Cheng, Ching-Hsue, 2015. "Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques," Tourism Management, Elsevier, vol. 46(C), pages 164-176.
    10. Torres-Sibille, Ana del Carmen & Cloquell-Ballester, Vicente-Agustín & Cloquell-Ballester, Víctor-Andrés & Artacho Ramírez, Miguel Ángel, 2009. "Aesthetic impact assessment of solar power plants: An objective and a subjective approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 986-999, June.
    11. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    12. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    13. Kawamoto, Carlos Tadao & Wright, James Terence Coulter & Spers, Renata Giovinazzo & de Carvalho, Daniel Estima, 2019. "Can we make use of perception of questions' easiness in Delphi-like studies? Some results from an experiment with an alternative feedback," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 296-305.
    14. Meijering, Jurian Vincent & Tobi, Hilde, 2018. "The effects of feeding back experts’ own initial ratings in Delphi studies: A randomized trial," International Journal of Forecasting, Elsevier, vol. 34(2), pages 216-224.
    15. Paméla Baillette & Bernard Fallery, 2016. "La méthode du Delphi argumentaire, une innovation managériale dans le cadre d'un projet complexe," Post-Print hal-02160359, HAL.
    16. Förster, Bernadette & von der Gracht, Heiko, 2014. "Assessing Delphi panel composition for strategic foresight — A comparison of panels based on company-internal and external participants," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 215-229.
    17. Torres Sibille, Ana del Carmen & Cloquell-Ballester, Víctor-Andrés & Cloquell-Ballester, Vicente-Agustín & Darton, Richard, 2009. "Development and validation of a multicriteria indicator for the assessment of objective aesthetic impact of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 40-66, January.
    18. Ebrahim Aghazadeh & Hasan Yildirim & Murat Kuruoglu, 2022. "A Hybrid Fuzzy MCDM Methodology for Optimal Structural System Selection Compatible with Sustainable Materials in Mass-Housing Projects," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    19. A. Salehnasab & J. Feghi & A. Danekar & J. Soosani & A. Dastranj, 2016. "Forest park site selection based on a Fuzzy analytic hierarchy process framework (Case study: the Galegol Basin, Lorestan province, Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 62(6), pages 253-263.
    20. Fritschy, Carolin & Spinler, Stefan, 2019. "The impact of autonomous trucks on business models in the automotive and logistics industry–a Delphi-based scenario study," Technological Forecasting and Social Change, Elsevier, vol. 148(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:grdene:v:29:y:2020:i:2:d:10.1007_s10726-020-09661-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.