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

Authors: Manori Pathmalatha Kovilage

Addresses: Faculty of Management Studies, Department of Tourism Management, Sabaragamuwa University of Sri Lanka, Belihuloya, 70140, Sri Lanka

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.

Keywords: SSCMP; sustainable supply chain management performance; sustainable development; SCM; supply chain management; SSCM; sustainable supply chain management.

DOI: 10.1504/IJBPSCM.2026.154573

International Journal of Business Performance and Supply Chain Modelling, 2026 Vol.16 No.2, pp.206 - 235

Accepted: 07 Jun 2025
Published online: 06 Jul 2026 *

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