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The Role of Collaborative Resource Sharing in Supply Chain Recovery During Disruptions: A Systematic Literature Review

期刊

IEEE ACCESS
卷 10, 期 -, 页码 115603-115623

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3217500

关键词

Collaboration; Supply chains; Resource management; Systematics; Risk management; Clustering methods; Supply chain management; Supply chain risk; supply chain disruption; collaborative recovery; collaborative resource sharing; hierarchical clustering; cluster analysis

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This study investigates the academic state of the art and advances in using collaborative resource sharing as a reactive method for supply chain recovery. The findings show that collaborative sharing of labor and material resources is effective for supply chain recovery, with labor resources contributing more to the recovery process. The combination of information resources and material resources is crucial in reducing the impact of disruptive supply chain risks caused by COVID-19.
The COVID-19 crisis has attracted attention worldwide to supply chain disruptions and resilience. Several supply chain risk management approaches have been revisited or reapplied in the literature; however, collaborative resource sharing is less researched. This study aimed to investigate the current academic state of the art and advances in using collaborative resource sharing as a reactive method to facilitate supply chain recovery in the presence of disruptive events. More specifically we considered the role of different collaborative resource-sharing strategies that organizations can adopt to support supply chain functionalities during times of disruption. We conducted a systematic literature review (SLR) to analyze academic articles that were published online from 2000 to 2022. In order to analyze the literature, we adopted a combination of text-mining, automatic and manual categorization of selected articles, and exploratory analyses such as cluster analysis and relational indicators. We also consider the machine learning classification algorithm i.e. agglomerative hierarchical clustering for the categorization of clusters. The findings show that, for disruptive risks, collaborative sharing of labour and material resources is effective for the recovery of supply chains. More so, labour resources tend to contribute more to the recovery of supply chains through the physical and mental recreation of recovery activities and experiences. Whilst information resources and a mix of information and material resources are highly important in reducing the impact of COVID-19 disruptive supply chain risk. In conclusion, collaborating on the three resources, namely labour, material, and information resources can be an effective post-disruption recovery strategy for supply chains.

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