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Social and environmental risk management in resilient supply chains: A periodical study by the Grey-Verhulst model

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  • R. Rajesh

Abstract

As sustainability and allied concerns are at present gaining greater than before attention amongst stakeholders, enterprises are enforced to consider social and environmental risk assessments along with conventional economic risk assessments. Hence to advance sustainable competitive advantages, the property of resilience is becoming a success factor for enterprises. Resilience is the property of enterprises or their supply chains to resume operations after disruptions and to regain its sustainable competitive advantages quickly and effectively. This study essentially focuses on identifying drivers of social and environmental risk management (SERM) in resilient supply chains and to acknowledge the importance of these drivers towards the implementation of SERM practices of enterprises. Representative case studies of three electronics manufacturing firms were also considered in this research to gain practical insights. Periodical data analysis has been piloted for the collected datasets from these companies. Since the sequences of the collected data show saturated sigmoidal tendencies, the Verhulst model fits best with the data sequences. A Grey-Verhulst model has been implemented in this research and was practically tested for case firms to exemplify the data sequences of prediction and to effectually improve the SERM performances of firms.

Suggested Citation

  • R. Rajesh, 2019. "Social and environmental risk management in resilient supply chains: A periodical study by the Grey-Verhulst model," International Journal of Production Research, Taylor & Francis Journals, vol. 57(11), pages 3748-3765, June.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:11:p:3748-3765
    DOI: 10.1080/00207543.2019.1566656
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    Cited by:

    1. R. Rajesh & Chandrasekharan Rajendran, 2020. "Relating Environmental, Social, and Governance scores and sustainability performances of firms: An empirical analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1247-1267, March.
    2. Tan, Zhizhong & Wu, Bei & Che, Ada, 2023. "Resilience modeling for multi-state systems based on Markov processes," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. Aurora M. García-Vallejo & Alberto Albahari & Vicente Añó-Sanz & Aurora Garrido-Moreno, 2020. "What’s Behind a Marathon? Process Management in Sports Running Events," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    4. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    5. 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).
    6. Shih-Chia Chang & Ming-Tsang Lu & Mei-Jen Chen & Li-Hua Huang, 2021. "Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic," Mathematics, MDPI, vol. 9(15), pages 1-16, July.
    7. Ewa Kulinska & Dariusz Maslowski & Małgorzata Dendera-Gruszka, 2021. "New Αpplication of FMEA Αnalysis in the Ηeavy Ιndustry Supply Chain," European Research Studies Journal, European Research Studies Journal, vol. 0(2B), pages 600-616.
    8. Rajesh, R., 2020. "Sustainable supply chains in the Indian context: An integrative decision-making model," Technology in Society, Elsevier, vol. 61(C).

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