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Identifying and classifying sustainable supply chain performance indicators: a GRI-based multivariate analysis

Author

Listed:
  • Ali Goharshenasan
  • Abbas Sheikh Aboumasoudi
  • Arash Shahin
  • Azarnoush Ansari

Abstract

This study aims to identify and classify the performance indicators of a sustainable supply chain based on the Global Report Initiative (GRI) standard using multivariate analysis. Marjan Tile Company has been selected for the case study. Performance indicators of the sustainable supply chain have been reviewed and the GRI standard has been selected. Then, the value of each indicator has been measured using a questionnaire filled by the experts of the company. In the next step, the data has been analysed using multivariate analysis and principal component analysis (PCA). Findings on the classification of performance indicators indicated that human rights varied from nine sub-dimensions to three indicator clusters, and the indicators relevant to social dimensions of society scope and social scope of product liability varied from five sub-dimensions to three indicator clusters, implying the maximum and minimum variation of the clusters.

Suggested Citation

  • Ali Goharshenasan & Abbas Sheikh Aboumasoudi & Arash Shahin & Azarnoush Ansari, 2022. "Identifying and classifying sustainable supply chain performance indicators: a GRI-based multivariate analysis," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 41(1), pages 41-70.
    • Handle: RePEc:ids:ijisen:v:41:y:2022:i:1:p:41-70
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