IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v54y2016i24p7374-7399.html
   My bibliography  Save this article

An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers

Author

Listed:
  • Vishal Ashok Bhosale
  • Ravi Kant

Abstract

The aim of this study is to identify supply chain knowledge flow enablers (SCKFEs) to inspect interrelationships among these enablers and classify these enablers into driving power and dependence power using an integrated interpretive structural modelling (ISM) and fuzzy Matriced Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) methodology. While the ISM methodology analyses the interactions among the SCKFEs, fuzzy MICMAC analysis is employed to obtain insights into the dependencies among the SCKFEs. A total of 34 SCKFEs were identified through the literature review and expert opinion. As an example, an Indian manufacturing organisation is selected that is willing to adopt the successful knowledge flow for improving supply chain (SC) performance to overcome the intense competition among the SC versus SC. The research shows SCKFEs having high driving power and low dependence have strategic importance because of their driving nature, while the SCKFEs having high dependence and low driving power are more performance orientated. Therefore, it is the responsibility of SC executives to address the high driving power SCKFEs for the enhancement of SC performance. This categorisation provides a useful tool to top management to differentiate between independent and dependent SCKFEs and their mutual relationships, helping them focus on those key SCKFEs that are most significant. This gives a clear picture to SC practitioners and decision-makers about number of SCKFEs, interrelationship and dependencies existing among them.

Suggested Citation

  • Vishal Ashok Bhosale & Ravi Kant, 2016. "An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers," International Journal of Production Research, Taylor & Francis Journals, vol. 54(24), pages 7374-7399, December.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:24:p:7374-7399
    DOI: 10.1080/00207543.2016.1189102
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2016.1189102
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2016.1189102?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.

    Citations

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


    Cited by:

    1. Taab Ahmad Samad & Rohit Sharma & Kunal K Ganguly & Samuel Fosso Wamba & Geetika Jain, 2023. "Enablers to the adoption of blockchain technology in logistics supply chains: evidence from an emerging economy," Annals of Operations Research, Springer, vol. 327(1), pages 251-291, August.
    2. Xiaohong Jiang & Huiying Wang & Xiucheng Guo & Xiaolin Gong, 2019. "Using the FAHP, ISM, and MICMAC Approaches to Study the Sustainability Influencing Factors of the Last Mile Delivery of Rural E-Commerce Logistics," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    3. Han, Qingye & Zhu, Yuming & Ke, Ginger Y. & Hipel, Keith W., 2019. "Public private partnership in brownfield remediation projects in China: Identification and structure analysis of risks," Land Use Policy, Elsevier, vol. 84(C), pages 87-104.
    4. Zhao, Zhen-Yu & Chen, Yu-Long & Li, Heng, 2019. "What affects the development of renewable energy power generation projects in China: ISM analysis," Renewable Energy, Elsevier, vol. 131(C), pages 506-517.
    5. Guoqing Zhao & Shaofeng Liu & Carmen Lopez & Yi Wang & Haiyan Lu & Jinhua Zhang, 2024. "Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study," Annals of Operations Research, Springer, vol. 338(2), pages 1241-1282, July.
    6. Alok Yadav & Anish Sachdeva & Rajiv Kumar Garg & Karishma M. Qureshi & Bhavesh G. Mewada & Mohamed Rafik Noor Mohamed Qureshi & Mohamed Mansour, 2024. "Assessing Drivers Influencing Net-Zero Emission Adoption in Manufacturing Supply Chain: A Hybrid ANN-Fuzzy ISM Approach," Sustainability, MDPI, vol. 16(17), pages 1-36, September.
    7. Nina Shin & Sangwook Park, 2019. "Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
    8. Mir Sohrab Hossain & Nusrat Zahan Lopa & Mahfuja Khatun & Shafkat Tanzim Rahim, 2024. "Enablers of Circular Economy Implementation in Built Environment Sector of Developing Countries—Evidence from Bangladesh," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2287-2311, September.
    9. Hassan Al-Zarooni & Hamdi Bashir, 0. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-23.
    10. Liu, Jiaguo & Gu, Bingmei & Chen, Jihong, 2023. "Enablers for maritime supply chain resilience during pandemic: An integrated MCDM approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    11. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.
    12. Lakhan Patidar & Vimlesh Kumar Soni & Pradeep Kumar Soni, 2017. "Manufacturing wastes analysis in lean environment: an integrated ISM-fuzzy MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1783-1809, November.
    13. Hassan Al-Zarooni & Hamdi Bashir, 2020. "An integrated ISM fuzzy MICMAC approach for modeling and analyzing electrical power system network interdependencies," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1204-1226, December.
    14. Satyabrata Aich & Sushanta Tripathy & Moon-Il Joo & Hee-Cheol Kim, 2021. "Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    15. Sahebi, Iman Ghasemian & Mosayebi, Alireza & Masoomi, Behzad & Marandi, Fatemeh, 2022. "Modeling the enablers for blockchain technology adoption in renewable energy supply chain," Technology in Society, Elsevier, vol. 68(C).
    16. Vinay Surendra Yadav & A. R. Singh & Rakesh D. Raut & Naoufel Cheikhrouhou, 2023. "Blockchain drivers to achieve sustainable food security in the Indian context," Annals of Operations Research, Springer, vol. 327(1), pages 211-249, August.
    17. Xiaoyan Jiang & Kun Lu & Bo Xia & Yong Liu & Caiyun Cui, 2019. "Identifying Significant Risks and Analyzing Risk Relationship for Construction PPP Projects in China Using Integrated FISM-MICMAC Approach," Sustainability, MDPI, vol. 11(19), pages 1-31, September.
    18. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    19. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Abdul Basit, 2019. "An Interpretive Structural Model of Barriers in Implementing Corporate Governance (CG) in Pakistan," Global Regional Review, Humanity Only, vol. 4(1), pages 359-375, March.
    20. Helal Zaabi & Hamdi Bashir, 2020. "Modeling and analyzing project interdependencies in project portfolios using an integrated social network analysis-fuzzy TOPSIS MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1083-1106, December.
    21. Amin Vafadarnikjoo & Hadi Badri Ahmadi & Benjamin Thomas Hazen & James J. H. Liou, 2020. "Understanding Interdependencies among Social Sustainability Evaluation Criteria in an Emerging Economy," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    22. Ola Khalid AlZawati & Hamdi Bashir & Imad Alsyouf, 2020. "Modelling and analyzing of critical success factors for implementing UAE’s Government Excellence Model in the public sector: an ISM and Fuzzy-MICMAC approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1107-1132, December.
    23. Vafadarnikjoo, Amin & Tavana, Madjid & Chalvatzis, Konstantinos & Botelho, Tiago, 2022. "A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    24. Shahbaz Khan & Abid Haleem & Mohd Imran Khan & Mustufa Haider Abidi & Abdulrahman Al-Ahmari, 2018. "Implementing Traceability Systems in Specific Supply Chain Management (SCM) through Critical Success Factors (CSFs)," Sustainability, MDPI, vol. 10(1), pages 1-26, January.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:54:y:2016:i:24:p:7374-7399. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.