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Performance measurement framework of green supply chain implementation in the context of Indian manufacturing organizations

Author

Listed:
  • Sarika S. Panpatil
  • Swapnil Lahane
  • Ravi Kant

Abstract

Purpose - This research aims to explore the various green supply chain management (GSCM) performance measures and develop the efficient performance measurement framework for evaluation of influence of GSCM adoption on organizational performance. Design/methodology/approach - This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process and Pythagorean fuzzy weighted aggregated sum product assessment technique. The usefulness of proposed framework is validated using empirical case example of Indian manufacturing organization. Findings - The finding reveals that the overall performance of case organization is 67.03% based on define set of performance measures. Further, the proposed framework has been validated with other three Indian automobile manufacturing organizations. The results obtained were confirmed with selected empirical case company. The proposed hybrid framework provides the effective path to measure and benchmark the impact of each performance measures on system performance. Research limitations/implications - This research is limited to automobile sector of India; hence the results obtained in this study may not be comprehensibly used to other sectors due to different product and process fields. Originality/value - This research aids the industrial practitioners to effectively implement the green supply chain management (GSCM) and helps them to boost the overall performance of business organizations in three dimensions of sustainability.

Suggested Citation

  • Sarika S. Panpatil & Swapnil Lahane & Ravi Kant, 2023. "Performance measurement framework of green supply chain implementation in the context of Indian manufacturing organizations," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 20(4), pages 623-652, May.
    • Handle: RePEc:eme:jamrpp:jamr-08-2022-0174
    DOI: 10.1108/JAMR-08-2022-0174
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