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Sustainability 2017, 9(12), 2217; doi:10.3390/su9122217

Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches

1
Faculty of Economics and Business Administration, King Abdulaziz University, P.O. Box 80201, Jeddah 21589, Saudi Arabia
2
Toulouse Business School, University of Toulouse, 20, bd Lascrosses, BP 7010, 31068, Toulouse CEDEX 7, France
*
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 21 November 2017 / Accepted: 22 November 2017 / Published: 30 November 2017
(This article belongs to the Section Economic, Business and Management Aspects of Sustainability)
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Abstract

The purpose of this study is to analyze different types of supply chain uncertainties and suggest strategies to deal with unexpected contingencies to deliver superior operational performance (OP) using symmetrical and asymmetrical modeling approaches. The data were collected through a survey given to 146 supply chain managers within the fast moving consumer goods industry in Thailand. Symmetrical modeling is applied via partial least squares structural equation modeling (PLS-SEM) in order to assess the theoretical relationships among the latent variables, while asymmetrical modeling is applied via fuzzy set qualitative comparative analysis (fsQCA) to emphasize their combinatory causal relation. The empirical results support the theory by highlighting the mediating effect of supply chain strategy (SCS) in the relation between supply chain uncertainty (SCU) and firms’ OP and, hence, deliver business sustainability for the firms, demonstrating that the choice of SCS should not be an “either-or” decision. This research contributes by providing an illustration of a PLS-SEM and fsQCA based estimation for the rapidly emerging field of sustainable supply chain management. This study provides empirical support for resource dependence theory (RDT) in explaining the relation between SCU and SCS, which leads to sustainable OP. From a methodological standpoint, this study also illustrates predictive validation testing of models using holdout samples and testing for causal asymmetry. View Full-Text
Keywords: supply chain uncertainty; supply chain strategy; operational performance; resource dependence theory; business sustainability; PLS-SEM; and fsQCA supply chain uncertainty; supply chain strategy; operational performance; resource dependence theory; business sustainability; PLS-SEM; and fsQCA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Salam, M.A.; Ali, M.; Seny Kan, K.A. Analyzing Supply Chain Uncertainty to Deliver Sustainable Operational Performance: Symmetrical and Asymmetrical Modeling Approaches. Sustainability 2017, 9, 2217.

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