Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective

Manu Sharma (), Deepak Kaushal () and Sudhanshu Joshi ()
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Manu Sharma: Department of Management Studies, Graphic Era Deemed to be University
Deepak Kaushal: Department of Management Studies, Graphic Era Deemed to be University
Sudhanshu Joshi: University of Technology

Operations Management Research, 2023, vol. 16, issue 3, No 8, 1185-1205

Abstract: Abstract In the disruptive environment, the supply chains are unpredictable, volatile, and complex. By effectively applying knowledge, information, data, human intelligence, and new technologies, businesses with knowledge-based supply chains may successfully navigate the disruptive environment. This study has made an attempt to identify and evaluate the challenging factors that essential for knowledge-based supply chains to attain resilience. Due to the high effectiveness in determining the relationship among the factors, the study used the Fuzzy DEMATEL methodology. A total of 25 factors from the literature review were explored and validated by expert’s judgement to be grouped as causal and effect group variables. The Fuzzy DEMATEL results exhibit that digital technologies-based supply chains, agility, green perspective, personalization, last mile delivery, e-Procurement, mentoring & coaching for knowledge retention are the significant causal factors to be considered by the knowledge-based supply chains. Furthermore, the strategic measures are investigated and evaluated using the Best-Worst Method (BWM) application, which reveals that the two most important strategic solutions that have the potential to improve resilience in knowledge-based supply chains are a focus on socially sustainable supply chains and Industry 4.0 technologies. The report can help businesses think through important methods for long-term resilience.

Keywords: Knowledge based supply chains; Resilience; Disruption; Fuzzy DEMATEL; Strategies; Best worst method (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s12063-023-00376-x

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