IDEAS home Printed from https://ideas.repec.org/a/ids/ijpmbe/v12y2022i1p46-76.html
   My bibliography  Save this article

Hybrid fuzzy model for rubric score of collaboration factors assessment: a negative knowledge approach in petrochemical industry

Author

Listed:
  • Treenuch Wongpipit
  • Parames Chutima
  • Chaipong Pongpanich

Abstract

Nowadays, it is critical that the collaboration philosophy is needed to be applied for a firm to enhance its competitive edge and achieve sustainable growth. Nonetheless, many researches have been conducted over a few decades in the collaboration area; there remains a lack of consideration in collaboration factor for product development projects selection with supply chain integration, both in academic and practical areas. Fuzzy hybrid multi-criteria decision making of rubric score assessment with multiple linear regression and fuzzy Delphi method in negative knowledge approach of the new product development process were newly integrated into the conceptualisation to be researched here by means of a case study in the petrochemical sector with original theory building. The highlights of the research elucidate a new facet of collaborative product development to significantly contribute to academic study and practical implication.

Suggested Citation

  • Treenuch Wongpipit & Parames Chutima & Chaipong Pongpanich, 2022. "Hybrid fuzzy model for rubric score of collaboration factors assessment: a negative knowledge approach in petrochemical industry," International Journal of Process Management and Benchmarking, Inderscience Enterprises Ltd, vol. 12(1), pages 46-76.
    • Handle: RePEc:ids:ijpmbe:v:12:y:2022:i:1:p:46-76
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=120418
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:ids:ijpmbe:v:12:y:2022:i:1:p:46-76. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=95 .

    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.