IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i20p4381-d1264568.html
   My bibliography  Save this article

Fuzzy Assessment of Management Consulting Projects: Model Validation and Case Studies

Author

Listed:
  • Hongyi Sun

    (Department of Systems Engineering, City University of Hong Kong, Hong Kong 999017, China)

  • Wenbin Ni

    (School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China)

  • Lanxuan Huang

    (Department of Systems Engineering, City University of Hong Kong, Hong Kong 999017, China)

Abstract

Management consulting (MC) has been heavily involved in emerging business opportunities in mainland China. However, there are no well-known local MC project management models to help evaluate whether an MC project can be successful or not. This paper reports a model for the self-assessment of management consulting projects, which has been validated by 15 experts and 13 cases. The new model, with seven factors that are critical to the success of MC projects, was developed from a literature review. The model was then verified by developing a questionnaire that was sent to 15 experts and using Dempster–Shafer theory to obtain the weight of each part of the model. The model was applied to 13 real cases to verify its effectiveness in evaluating an MC project. This new MC model can help consulting teams to conduct assessments in the early and middle stages, and evaluate in the late stage, of consulting projects, and also can help teams improve the probability of project success and client satisfaction. It can be used by consultants, client companies, or both.

Suggested Citation

  • Hongyi Sun & Wenbin Ni & Lanxuan Huang, 2023. "Fuzzy Assessment of Management Consulting Projects: Model Validation and Case Studies," Mathematics, MDPI, vol. 11(20), pages 1-22, October.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:20:p:4381-:d:1264568
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/20/4381/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/20/4381/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:eme:mrn000:01409170710722973 is not listed on IDEAS
    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. Rui Xiong & Hongyi Sun & Shufen Zheng & Sichu Liu, 2024. "A Multi-Criteria Assessment Model for Cooperative Technology Transfer Projects from Universities to Industries," Mathematics, MDPI, vol. 12(12), pages 1-32, June.

    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:11:y:2023:i:20:p:4381-:d:1264568. 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.