A model of service supply chain sustainability assessment using fuzzy methods and factor analysis in oil and gas industry

Abstract

The main objective of this study is to present a conceptual model of sustainable product service supply chain (SPSSC) performance assessment in the oil and gas industry. Based on an in-depth study of the previous literature, the indicators related to PSSC performance assessment were determined. Then, exploratory factor analysis and confirmatory factor analysis were applied to identify and confirm the sub-criteria and criteria pertaining to the proposed model. The obtained results identify ten criteria related to the proposed model as follows: “Environmental performance”, “Customer performance”, “financial performance”, “Information technology Performance”, “Social Performance”, “Risk performance”, “Logistics performance”, “Operational performance”, “Organizational performance” and “performance of innovation and growth”. As the present research was conducted in the Iranian context, caution should be taken regarding the generalizability of the obtained results. Based on a set of the identified criteria, this study proposes a conceptual model of the PSSC performance assessment in the oil and gas industry which hopefully could be useful for other organizations in this industry and other organizations in other parts of the world.