{"title":"A Bounded Rationality Model for Sustainable Supplier Selection for New Products: A Whole Product Life Cycle Perspective","authors":"Chong Wu, Weiling Hou, David Barnes","doi":"10.1002/bse.4319","DOIUrl":null,"url":null,"abstract":"When developing new products, companies must select the most appropriate sustainable suppliers at the early stages of product development to achieve long‐term sustainability and reduce the high risk of failure inherent in the new product development. Moreover, new products have different market characteristics at each stage of the PLC, which leads to different psychological behaviours among decision‐makers. However, existing research ignores these characteristics of different PLC stages and the bounded rationality of decision‐makers. To overcome above shortcomings, this paper first introduces a variable coefficient into step‐wise weight assessment ratio analysis (SWARA) to obtain criteria weights more reasonably. Then, prospect and regret theories are integrated to comprehensively consider the risk attitude, loss avoidance and regret avoidance psychology of decision‐makers and thereby rank potential suppliers. Finally, the effectiveness of the proposed model is illustrated using the case of seat supplier selection in a renowned global luxury vehicle manufacturer.","PeriodicalId":9518,"journal":{"name":"Business Strategy and The Environment","volume":"31 1","pages":""},"PeriodicalIF":12.5000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business Strategy and The Environment","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1002/bse.4319","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
When developing new products, companies must select the most appropriate sustainable suppliers at the early stages of product development to achieve long‐term sustainability and reduce the high risk of failure inherent in the new product development. Moreover, new products have different market characteristics at each stage of the PLC, which leads to different psychological behaviours among decision‐makers. However, existing research ignores these characteristics of different PLC stages and the bounded rationality of decision‐makers. To overcome above shortcomings, this paper first introduces a variable coefficient into step‐wise weight assessment ratio analysis (SWARA) to obtain criteria weights more reasonably. Then, prospect and regret theories are integrated to comprehensively consider the risk attitude, loss avoidance and regret avoidance psychology of decision‐makers and thereby rank potential suppliers. Finally, the effectiveness of the proposed model is illustrated using the case of seat supplier selection in a renowned global luxury vehicle manufacturer.
期刊介绍:
Business Strategy and the Environment (BSE) is a leading academic journal focused on business strategies for improving the natural environment. It publishes peer-reviewed research on various topics such as systems and standards, environmental performance, disclosure, eco-innovation, corporate environmental management tools, organizations and management, supply chains, circular economy, governance, green finance, industry sectors, and responses to climate change and other contemporary environmental issues. The journal aims to provide original contributions that enhance the understanding of sustainability in business. Its target audience includes academics, practitioners, business managers, and consultants. However, BSE does not accept papers on corporate social responsibility (CSR), as this topic is covered by its sibling journal Corporate Social Responsibility and Environmental Management. The journal is indexed in several databases and collections such as ABI/INFORM Collection, Agricultural & Environmental Science Database, BIOBASE, Emerald Management Reviews, GeoArchive, Environment Index, GEOBASE, INSPEC, Technology Collection, and Web of Science.