Data-Driven Sustainable Supply Chain Decision Making in the Presence of Low Carbon Awareness

Xiaojiao Qiao, Shimeng Xu, Dan Shi () and Xiukun Zhao
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Xiaojiao Qiao: School of Management, Tianjin University of Technology, Tianjin 300384, China
Shimeng Xu: School of Management, Tianjin University of Technology, Tianjin 300384, China
Dan Shi: School of Business, Dalian University of Technology, Panjin 124221, China
Xiukun Zhao: School of Management Science and Engineering, Tianjin University of Finance and Economics, Tianjin 300222, China

Sustainability, 2023, vol. 15, issue 12, 1-16

Abstract: Low-carbon production is a vital solution for many environmental problems, as is consumers’ consciousness about carbon playing a more important role and ultimately passing upstream. Supply chains are eager to seek sustainable development via appropriate decision making with data-driven methods. Consistent with this aim, we investigated decisions toward lower carbon efforts and prices in a two-echelon supply chain via a game theoretical approach. The decision-making scenarios of decentralized, centralized, and cost-sharing contracts were investigated and compared. The results show that the level of improvement in environmental performance is positively correlated with the degree of cooperation between partners. Cooperation between partners would be even more significant with an increase in consumers’ low carbon awareness. Furthermore, cost-sharing contracts improve the performance of the entire supply chain compared with decentralized cases. Finally, we implemented numerical experiments to verify the modeling results. Therefore, this study provides theoretical support toward sustainable operations for supply chains concerning low carbon awareness.

Keywords: supply chain management; data-driven supply chain; low carbon awareness; cost-sharing contract (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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