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Supply chain efficiency and relation with the firm performance: a study of the food processing sector in India

Author

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  • Nitin Maini
  • Khushdeep Dharni
  • Rakesh Rathore

Abstract

Purpose - This study investigates the supply chain efficiency of selected companies in the Indian food processing sector. Additionally, it explores the relationship between supply chain efficiency and firm performance. Design/methodology/approach - To determine the supply chain efficiency, the study uses supply chain efficiency measures, such as supply chain length, inefficiency ratio and working capital productivity. Secondary data were collected from the Center for Monitoring Indian Economy (CMIE) Prowess database for the years 2011–2017. Various return measures, such as Return on Net Worth (RONW), Return on Total Assets (ROTA) and Return on Capital Employed (ROCE), were used to measure firm performance. Collected data were analyzed to investigate the relationship between supply chain efficiency and firm performance. Findings - Findings of the study reveal the prevalence of inefficient supply chains in the context of the selected companies. There is a significant negative correlation between supply chain efficiency and firm performance. RONW has a significant negative correlation with the length of supply chain as well as supply chain inefficiency. Research limitations/implications - This study expands the limited existing research perspective; the study helps to understand the supply chain efficiency and firm performance. Originality/value - This is an original piece of work and provides valuable insight into the relationship between supply chain efficiency and firm performance.

Suggested Citation

  • Nitin Maini & Khushdeep Dharni & Rakesh Rathore, 2023. "Supply chain efficiency and relation with the firm performance: a study of the food processing sector in India," Journal of Agribusiness in Developing and Emerging Economies, Emerald Group Publishing Limited, vol. 15(3), pages 565-578, September.
    • Handle: RePEc:eme:jadeep:jadee-02-2023-0028
    DOI: 10.1108/JADEE-02-2023-0028
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