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Impact of Sustainable Supply Chain Management on Environmental Performance: Moderating Role of Top Management Commitment and Mediating Role of Supply Chain Ambidexterity

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  • Faria Ahmad

    (Ph.D Scholar at Division of Management and Administrative Sciences, University of Education, Pakistan)

Abstract

The sustainability of civilization and the operation of our global economy both depend heavily on the supply chain. This paper aims to assess how sustainable supply chain management (SSCM) influences sustainable supply chain ambidexterity (SCA) to achieve environmental performance (EP) for textile sector of an under developed economy such as Pakistan, besides exploring whether top management commitment (TMC) moderates the relationship between SSCM and EP. This study collected survey data from 240 exporters in the textile sector. It employed the PLS-SEM (Partial Least-Squares Structural Equation Modeling) technique to evaluate the hypothesized relationships. This study found that SSCM positively, directly and indirectly, impacted EP. SCA partially mediated the correlation between SSCM and EP. Additionally, TMC moderated the relationship between SSCM and SCA. TMC had a direct and positive effect on SCA. The insights into how SSCM influences SCA to achieve EP for textile sector in an emerging economy like Pakistan provides an original value. Moreover, the novelty of this study is further reinforced by the coverage of the newfound mechanism, where TMC moderates the relationship between SSCM and SCA, directly and positively enhancing SCA. These contributions could interest business practitioners and academics.

Suggested Citation

  • Faria Ahmad, 2023. "Impact of Sustainable Supply Chain Management on Environmental Performance: Moderating Role of Top Management Commitment and Mediating Role of Supply Chain Ambidexterity," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 922-934.
    • Handle: RePEc:rfh:bbejor:v:12:y:2023:i:3:p:922-934
    DOI: https://doi.org/10.61506/01.00347
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    References listed on IDEAS

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    1. Tseng, Ming-Lang & Bui, Tat-Dat & Lim, Ming K. & Fujii, Minoru & Mishra, Umakanta, 2022. "Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity," International Journal of Production Economics, Elsevier, vol. 245(C).
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