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A multi-item psychometric scale for assessing sustainable supply chain management performance (SSCMP)

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  • Manori Pathmalatha Kovilage

Abstract

The study developed a psychometric scale to measure sustainable supply chain management performance (SSCMP) using a mixed-methods approach and exploratory sequential design. Items were generated through expert interviews, focus groups, and literature review, then refined using exploratory factor analysis (EFA). The EFA identified SSCMP as a multidimensional construct with four dimensions - financial, operational, environmental, and social - and resulted in 18 measurement items. Confirmatory factor analysis (CFA) validated these dimensions and items. Financial indicators included lifecycle cost, net profit, return on investment (ROI), and inventory turnover; operational indicators included quality, flexibility, efficiency, customer satisfaction, and responsiveness. Environmental indicators focused on pollution control and resource usage, while social indicators addressed employee work quality and community well-being. The nomological validity of the SSCMP scale was confirmed, supporting the developed hypothesis. This study enhanced the SCM context by providing a validated SSCMP scale using established scale development procedures.

Suggested Citation

  • Manori Pathmalatha Kovilage, 2026. "A multi-item psychometric scale for assessing sustainable supply chain management performance (SSCMP)," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 16(2), pages 206-235.
    • Handle: RePEc:ids:ijbpsc:v:16:y:2026:i:2:p:206-235
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