{"title":"Decarbonizing a supply chain with an unreliable supplier: Implications for profitability and sustainability","authors":"","doi":"10.1016/j.cie.2024.110573","DOIUrl":null,"url":null,"abstract":"<div><p>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 (<em>i.e.</em>, profit, people, and the planet).</p></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":null,"pages":null},"PeriodicalIF":6.7000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835224006946","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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).
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.