Investigating big data investment in a three-level green supply chain: A game theoretic approach

Articles in Press

Document Type : Article

Authors

1 Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, Iran

2 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering Science, Quchan University of Technology, Quchan, Iran

10.24200/j65.2024.63579.2380

Abstract

In recent decades, the rapid and remarkable advancements in technology have sparked significant interest in the potential of big data and the extraction of valuable insights and information from it. This has led to a surge in the utilization of big data analytics across various industries, including supply chain management. In this paper, our focus is on evaluating the dynamics of a three-level supply chain, which encompasses a retailer, manufacturer, and supplier, within different power structures. Notably, the members of this supply chain have made substantial investments in big data analytics and are reaping the benefits of these investments accordingly.



In our quest to gain a deeper understanding of the feasibility conditions and factors that impact big data investment within different power structures, we have meticulously examined the problem model in two distinct cases: one with big data investment and another without it. Our findings reveal that the direct impact of investment efficiency and cost improvement coefficient plays a significant role in determining the feasible limits of big data investment for all members of the supply chain. Furthermore, our research demonstrates that big data investment has a positive and far-reaching effect on the equilibrium profit of members. This leads to an increase in the equilibrium price of products, as well as an enhancement in the equilibrium level of green innovation and product quality across all power structures. Our study underscores the substantial benefits of big data investment within supply chain management, shedding light on its potential. As technology continues to evolve at a rapid pace, supply chain members need to recognize the value of big data and leverage it to their advantage to stay competitive in today's rapidly changing business landscape. Moreover, our research provides valuable insights that can inform decision-making processes and strategic planning within supply chain management, offering a pathway for sustainable growth and success in the modern business environment.

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Sharif Journal of Industrial Engineering & Management

Articles in Press, Corrected Proof
Available Online from 24 June 2024

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