IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i9p1491-d408274.html
   My bibliography  Save this article

Cloud Model-Based Comprehensive Evaluation Method for Entrepreneurs’ Uncertainty Tolerance

Author

Listed:
  • Pan Guo

    (Business School, Sichuan University, Chengdu 610064, China)

  • Xiaofeng Li

    (Business School, Sichuan University, Chengdu 610064, China)

  • Yanlin Jia

    (Business School, Sichuan University, Chengdu 610064, China)

  • Xu Zhang

    (Business School, Sichuan University, Chengdu 610064, China)

Abstract

The evaluation of entrepreneurs’ uncertainty tolerance (UT) is more meaningful, e.g., predicting their behaviors, making psychological counseling strategies for them, etc. In fact, it is an uncertain problem that simultaneously contains randomness and fuzziness in evaluating entrepreneurs’ UT. Hence, it is difficult to solve it by traditional evaluation methods. This paper presents a cloud model-based comprehensive evaluation method for entrepreneurs’ UT which overcomes the inability of other methods to take into account randomness and fuzziness simultaneously. First, five UT levels are divided. Then, an evaluation index system which contains 14 secondary level indexes and four primary level indexes is constructed, and an analytic hierarchy process (AHP) method is used to obtain the weights for the secondary level indexes. Subsequently, the backward cloud generator (BCG) and virtual cloud model (CM) are used to obtain the CM of evaluation indexes, and cloud chart of evaluation results are generated by forward cloud generator (FCG). Finally, five core start-up founders of a high-tech company in China are chosen for a case study to illustrate our method. Compared with other traditional evaluation methods, our method has been verified to be a more competitive method. Its results are more visualized and low information lost.

Suggested Citation

  • Pan Guo & Xiaofeng Li & Yanlin Jia & Xu Zhang, 2020. "Cloud Model-Based Comprehensive Evaluation Method for Entrepreneurs’ Uncertainty Tolerance," Mathematics, MDPI, vol. 8(9), pages 1-14, September.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1491-:d:408274
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/9/1491/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/9/1491/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
    2. Welter, Christopher & Kim, Sungho, 2018. "Effectuation under risk and uncertainty: A simulation model," Journal of Business Venturing, Elsevier, vol. 33(1), pages 100-116.
    3. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    4. Yongjun Lin & Chitan Lin & Xiujiao Qiu, 2018. "Fuzzy Comprehensive Evaluation Method of Masonry Structure Safety Based on Grey Clustering Theory," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yujie Wang & Hong Chen & Ruyin Long & Shiyan Jiang & Bei Liu, 2022. "Evaluation of Occupational Health and Safety Management of Listed Companies in China’s Energy Industry Based on the Combined Weight-Cloud Model: From the Perspective of FPE Information Disclosure," IJERPH, MDPI, vol. 19(14), pages 1-17, July.

    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. Alan Hevner & Isabelle Comyn-Wattiau & Jacky Akoka & Nicolas Prat, 2018. "A pragmatic approach for identifying and managing design science research goals and evaluation criteria," Post-Print hal-02283783, HAL.
    2. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.
    3. Fang, Lei, 2022. "Measuring and decomposing group performance under centralized management," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1006-1013.
    4. Nermin Kişi, 2019. "A Strategic Approach to Sustainable Tourism Development Using the A’WOT Hybrid Method: A Case Study of Zonguldak, Turkey," Sustainability, MDPI, vol. 11(4), pages 1-19, February.
    5. Sunder Shyam, 2011. "Imagined Worlds of Accounting," Accounting, Economics, and Law: A Convivium, De Gruyter, vol. 1(1), pages 1-14, January.
    6. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    7. Fiori Stefano, 2005. "The emergence of instructions : some open problems in Hayek's theory," CESMEP Working Papers 200504, University of Turin.
    8. McCown, R. L., 2002. "Changing systems for supporting farmers' decisions: problems, paradigms, and prospects," Agricultural Systems, Elsevier, vol. 74(1), pages 179-220, October.
    9. Jin P. Gerlach & Ronald T. Cenfetelli, 2022. "Overcoming the Single-IS Paradigm in Individual-Level IS Research," Information Systems Research, INFORMS, vol. 33(2), pages 476-488, June.
    10. Basile, Luigi Jesus & Carbonara, Nunzia & Pellegrino, Roberta & Panniello, Umberto, 2023. "Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making," Technovation, Elsevier, vol. 120(C).
    11. Loris Gaio, 2005. "A diversity-based approach to requirements tracing in new product development," ROCK Working Papers 031, Department of Computer and Management Sciences, University of Trento, Italy, revised 13 Jun 2008.
    12. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.
    13. Yuan-Wei Du & Wen Zhou, 2019. "DSmT-Based Group DEMATEL Method with Reaching Consensus," Group Decision and Negotiation, Springer, vol. 28(6), pages 1201-1230, December.
    14. B. A. Huberman & N. S. Glance, "undated". "Diversity and Collective Action," Working Papers _001, Xerox Research Park.
    15. Zhewei Zhang & Youngjin Yoo & Kalle Lyytinen & Aron Lindberg, 2021. "The Unknowability of Autonomous Tools and the Liminal Experience of Their Use," Information Systems Research, INFORMS, vol. 32(4), pages 1192-1213, December.
    16. Carmen Herrero & Antonio Villar, 2022. "Sports competitions and the Break-Even rule," Working Papers 22.13, Universidad Pablo de Olavide, Department of Economics.
    17. Juval Portugali & Egbert Stolk, 2014. "A SIRN View on Design Thinking—An Urban Design Perspective," Environment and Planning B, , vol. 41(5), pages 829-846, October.
    18. Gilbert Giacomoni & Adel Aloui, 2018. "Imaginaire et imitation du réel : genèse des idées et sciences de l’artificiel," Post-Print hal-01941661, HAL.
    19. Funk, Jeffery, 2009. "Components, systems and discontinuities: The case of magnetic recording and playback equipment," Research Policy, Elsevier, vol. 38(7), pages 1192-1202, September.
    20. Richard Holt & J. Barkley Rosser & David Colander, 2011. "The Complexity Era in Economics," Review of Political Economy, Taylor & Francis Journals, vol. 23(3), pages 357-369.

    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:gam:jmathe:v:8:y:2020:i:9:p:1491-:d:408274. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.