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A social performance metrics framework for sustainable manufacturing

Author

Listed:
  • Rafael Henao
  • William Sarache
  • Ivan Gomez

Abstract

Manufacturing companies are under constant pressure from stakeholders to achieve higher sustainability levels, especially in terms of environmental and social aspects. Although social performance is not a new topic in operations management, it is the least explored pillar of the triple bottom-line approach. Metrics for the assessment of social performance levels remain scarce, which limits those companies that are willing to involve them in decision-making processes. This situation can be attributed to the difficulty of finding sufficiently comparable, widespread, and quantifiable social metrics. Therefore, the present study aims to provide a broader perspective of social performance, including both internal and external metrics. With the goal of providing a more holistic performance assessment, and based on findings present in the current literature, a social performance metrics framework is proposed. The framework proposes a three-layer approach, which allows companies to strengthen their social performance evaluation, based on internal metrics, while dealing with more complex external metrics.

Suggested Citation

  • Rafael Henao & William Sarache & Ivan Gomez, 2021. "A social performance metrics framework for sustainable manufacturing," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 38(2), pages 167-197.
  • Handle: RePEc:ids:ijisen:v:38:y:2021:i:2:p:167-197
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    Cited by:

    1. O'Connor, Neale G. & Schloetzer, Jason D. & Romero, Jorge & Wu, Anne, 2022. "How multi-sourcing can influence management control: Case study evidence from the electronic products supply chain," The British Accounting Review, Elsevier, vol. 54(5).
    2. Henao, Rafael & Sarache, William, 2022. "Sustainable performance in manufacturing operations: The cumulative approach vs. trade-offs approach," International Journal of Production Economics, Elsevier, vol. 244(C).

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