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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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    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Ritika & Himanshu & Nawal Kishor, 2023. "Modeling of factors affecting investment behavior during the pandemic: a grey-DEMATEL approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 222-235, June.
    8. Riya Sureka & Satish Kumar & Deepraj Mukherjee & Christina Theodoraki, 2023. "What restricts SMEs from adopting sophisticated capital budgeting practices?," Small Business Economics, Springer, vol. 60(1), pages 265-290, January.
    9. Saurabh Ardra & Mukesh Kumar Barua, 2023. "Inclusion of circular economy practices in the food supply chain: Challenges and possibilities for reducing food wastage in emerging economies like India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(12), pages 13825-13858, December.
    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. Perçin, Selçuk, 2018. "Evaluating airline service quality using a combined fuzzy decision-making approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 48-60.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Nebojša Brkljač & Milan Delić & Marko Orošnjak & Nenad Medić & Slavko Rakić & Ljiljana Popović, 2024. "Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy," Mathematics, MDPI, vol. 12(16), pages 1-19, August.
    19. 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.
    20. 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.
    21. Suvojit Dhara & Adrijit Goswami, 2023. "Causal Relationship and Ranking Technique (CRRT): A Novel Group Decision-Making Model and Application in Students’ Performance Assessment in Indian High School Context," Group Decision and Negotiation, Springer, vol. 32(4), pages 835-870, August.
    22. Ipek Kazancoglu & Melisa Ozbiltekin-Pala & Sachin Kumar Mangla & Ajay Kumar & Yigit Kazancoglu, 2023. "Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19," Annals of Operations Research, Springer, vol. 322(1), pages 217-240, March.
    23. 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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