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

Authors: Ali Goharshenasan; Abbas Sheikh Aboumasoudi; Arash Shahin; Azarnoush Ansari

Addresses: Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran ' Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran ' Department of Management, University of Isfahan, Isfahan, Iran ' Department of Management, University of Isfahan, Isfahan, Iran

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.

Keywords: sustainable supply chain; SSC; multivariate analysis; social dimension; GRI standard; ceramic and tile industry.

DOI: 10.1504/IJISE.2022.122972

International Journal of Industrial and Systems Engineering, 2022 Vol.41 No.1, pp.41 - 70

Received: 01 May 2020
Accepted: 22 Jun 2020
Published online: 19 May 2022 *

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