Decarbonizing a supply chain with an unreliable supplier: Implications for profitability and sustainability

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

Abstract

The increasing emphasis on corporate social responsibility has led to a growing trend among firms to initiate decarbonization campaigns, aligning their sustainability efforts with profitability objectives. This paper explores the challenge of decarbonizing a supply chain wherein a buyer cooperates with an unreliable supplier that possesses private absorptive capacity and varying degrees of bargaining power. We develop models based on whether the absorptive capacity remains private information and whether the buyer has more bargaining power in determining the profit-maximizing price. Our findings indicate that the buyer may opt to avoid entering into contracts with the supplier for decarbonization if the absorptive capacity ratio falls below certain values. When contracting occurs, decarbonization has the potential to yield a mutually beneficial outcome for firms, customers, and the environment. Nevertheless, the presence of private information has negative implications for customers and the environment because it results in reduced consumer surplus and increased carbon footprint. As the buyer’s bargaining power strengthens, the likelihood of supply chain decarbonization increases, potentially leading to more consumer surplus and less carbon footprint. Finally, we discuss the effects of key model factors from a triple bottom line perspective (i.e., profit, people, and the planet).

在供应商不可靠的情况下实现供应链去碳化:对盈利能力和可持续性的影响
随着对企业社会责任的日益重视,企业越来越倾向于发起去碳化运动,使其可持续发展努力与盈利目标保持一致。本文探讨了供应链去碳化所面临的挑战,在供应链中,买方与不可靠的供应商合作,而供应商拥有私人吸收能力和不同程度的讨价还价能力。我们根据吸收能力是否仍是私人信息以及买方在确定利润最大化价格时是否有更多讨价还价能力来建立模型。我们的研究结果表明,如果吸收能力比率低于一定值,买方可能会选择避免与供应商签订脱碳合同。如果签订合同,去碳化就有可能为企业、客户和环境带来互惠互利的结果。然而,私人信息的存在会给客户和环境带来负面影响,因为它会导致消费者剩余减少和碳足迹增加。随着买方讨价还价能力的增强,供应链去碳化的可能性也会增加,从而有可能带来更多的消费者剩余和更少的碳足迹。最后,我们从三重底线(即利润、人类和地球)的角度讨论了关键模型因素的影响。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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