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Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach

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  • Sachin K. Patil
  • Ravi Kant

Abstract

Knowledge management (KM) is a major enabler of supply chain (SC) management. Before initiating KM adoption in SC, planning is crucial to achieve intended objectives of increase profit and competitive advantage. Therefore, this study proposes a framework based on fuzzy decision-making trail and evaluation laboratory (DEMATEL) and fuzzy multi-criteria decision making (FMCDM) approach for KM adoption in SC. The proposed approach is helpful to predict the success of KM adoption in SC without actually adopted KM in SC. It also enables organisations to decide whether to initiate KM, restrain adoption or undertake remedial improvements to increase the possibility of successful KM adoption in SC. This proposed approach demonstrated with empirical case of offset printing machine manufacturing organisation in India.

Suggested Citation

  • Sachin K. Patil & Ravi Kant, 2014. "Predicting the success of knowledge management adoption in supply chain using fuzzy DEMATEL and FMCDM approach," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 6(1), pages 75-93.
    • Handle: RePEc:ids:ijbpsc:v:6:y:2014:i:1:p:75-93
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    Cited by:

    1. Govindan, K. & Muduli, K. & Devika, K. & Barve, A., 2016. "Investigation of the influential strength of factors on adoption of green supply chain management practices: An Indian mining scenario," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 185-194.
    2. Junling Zhang & Xiaowen Qi & Changyong Liang, 2018. "Tackling Complexity in Green Contractor Selection for Mega Infrastructure Projects: A Hesitant Fuzzy Linguistic MADM Approach with considering Group Attitudinal Character and Attributes’ Interdependen," Complexity, Hindawi, vol. 2018, pages 1-31, December.
    3. Jun Dong & Rong Li & Hui Huang, 2018. "Performance Evaluation of Residential Demand Response Based on a Modified Fuzzy VIKOR and Scalable Computing Method," Energies, MDPI, vol. 11(5), pages 1-27, April.
    4. Kusi-Sarpong, Simonov & Sarkis, Joseph & Wang, Xuping, 2016. "Assessing green supply chain practices in the Ghanaian mining industry: A framework and evaluation," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 325-341.
    5. Srie Vidhya Janani, E. & Ganesh Kumar, P., 2015. "Evaluating the technical barriers of large scale sustainable wireless sensor network: A resources approach," Resources Policy, Elsevier, vol. 46(P1), pages 134-141.
    6. Dilşad Güzel & Hamit Erdal, 2015. "A Comparative Assesment of Facility Location Problem via fuzzy TOPSIS and fuzzy VIKOR: A Case Study on Security Services," International Journal of Business and Social Research, LAR Center Press, vol. 5(5), pages 49-61, May.
    7. Dilşad Güzel & Hamit Erdal, 2015. "A Comparative Assesment of Facility Location Problem via fuzzy TOPSIS and fuzzy VIKOR: A Case Study on Security Services," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(5), pages 49-61, May.
    8. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    9. Chatterjee, Kajal & Bandyopadhyay, Abhirup & Ghosh, Amitava & Kar, Samarjit, 2015. "Assessment of environmental factors causing wetland degradation, using Fuzzy Analytic Network Process: A case study on Keoladeo National Park, India," Ecological Modelling, Elsevier, vol. 316(C), pages 1-13.
    10. Luthra, Sunil & Govindan, Kannan & Kharb, Ravinder K. & Mangla, Sachin Kumar, 2016. "Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 379-397.
    11. Cerchione, Roberto & Esposito, Emilio, 2016. "A systematic review of supply chain knowledge management research: State of the art and research opportunities," International Journal of Production Economics, Elsevier, vol. 182(C), pages 276-292.
    12. Lixin Shen & Kannan Govindan & Madan Shankar, 2015. "Evaluation of Barriers of Corporate Social Responsibility Using an Analytical Hierarchy Process under a Fuzzy Environment—A Textile Case," Sustainability, MDPI, vol. 7(3), pages 1-22, March.
    13. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    14. Mohammad Khalilzadeh & Laleh Katoueizadeh & Edmundas Kazimieras Zavadskas, 2020. "Risk identification and prioritization in banking projects of payment service provider companies: an empirical study," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-27, December.
    15. Sebastian Ion Ceptureanu & Eduard Gabriel Ceptureanu & Marieta Olaru & Doina I. Popescu, 2018. "An Exploratory Study on Knowledge Management Process Barriers in the Oil Industry," Energies, MDPI, vol. 11(8), pages 1-15, July.
    16. Wu, Kuo-Jui & Liao, Ching-Jong & Tseng, Ming-Lang & Chiu, Anthony S.F., 2015. "Exploring decisive factors in green supply chain practices under uncertainty," International Journal of Production Economics, Elsevier, vol. 159(C), pages 147-157.

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