{"title":"在具有共同零售商的供应链中采用个性化定价","authors":"Shichang Li , Jie Wu , Jingyan Li , Fangkezi Zhou","doi":"10.1016/j.tre.2024.103865","DOIUrl":null,"url":null,"abstract":"<div><div>This paper develops a game-theoretical model to investigate the adoption of personalized pricing in a supply chain with a common retailer and multiple suppliers. We first analyze the optimal personalized pricing strategy for the retailer and then examine its economic impacts on both suppliers and the entire supply chain, aiming to provide insights for supply chain managers regarding the adoption of personalized pricing strategy. We find that the personalized pricing strategy for the retailer depends critically on the degree of product differentiation between two suppliers. If the differentiation level is high, the retailer adopts personalized pricing for both products, which enhances suppliers’ profits and also enables the entire supply chain to achieve its maximum profit. If the differentiation level is moderate, the retailer adopts personalized pricing for only one product, even if both products are ex-ante symmetric. This pricing strategy benefits (may harm) the supplier whose products are priced differently (uniformly), deviating from the strategy preferred by the entire supply chain and therefore warranting special attention. If the differentiation level is low, the retailer again adopts personalized pricing for both products. However, this pricing strategy may harm upstream suppliers by intensifying upstream competition, although it benefits the retailer and the entire channel. Consequently, channel members may have inconsistent preferences for personalized pricing. Our work underscores that the downstream personalized pricing strategies are not always optimal for upstream suppliers and the entire supply chain, thereby holding significance for supply chain managers aiming to adopt personalized pricing for greater profits.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"193 ","pages":"Article 103865"},"PeriodicalIF":8.3000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The adoption of personalized pricing in a supply chain with a common retailer\",\"authors\":\"Shichang Li , Jie Wu , Jingyan Li , Fangkezi Zhou\",\"doi\":\"10.1016/j.tre.2024.103865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper develops a game-theoretical model to investigate the adoption of personalized pricing in a supply chain with a common retailer and multiple suppliers. We first analyze the optimal personalized pricing strategy for the retailer and then examine its economic impacts on both suppliers and the entire supply chain, aiming to provide insights for supply chain managers regarding the adoption of personalized pricing strategy. We find that the personalized pricing strategy for the retailer depends critically on the degree of product differentiation between two suppliers. If the differentiation level is high, the retailer adopts personalized pricing for both products, which enhances suppliers’ profits and also enables the entire supply chain to achieve its maximum profit. If the differentiation level is moderate, the retailer adopts personalized pricing for only one product, even if both products are ex-ante symmetric. This pricing strategy benefits (may harm) the supplier whose products are priced differently (uniformly), deviating from the strategy preferred by the entire supply chain and therefore warranting special attention. If the differentiation level is low, the retailer again adopts personalized pricing for both products. However, this pricing strategy may harm upstream suppliers by intensifying upstream competition, although it benefits the retailer and the entire channel. Consequently, channel members may have inconsistent preferences for personalized pricing. Our work underscores that the downstream personalized pricing strategies are not always optimal for upstream suppliers and the entire supply chain, thereby holding significance for supply chain managers aiming to adopt personalized pricing for greater profits.</div></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"193 \",\"pages\":\"Article 103865\"},\"PeriodicalIF\":8.3000,\"publicationDate\":\"2024-11-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Research Part E-Logistics and Transportation Review\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1366554524004563\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554524004563","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
The adoption of personalized pricing in a supply chain with a common retailer
This paper develops a game-theoretical model to investigate the adoption of personalized pricing in a supply chain with a common retailer and multiple suppliers. We first analyze the optimal personalized pricing strategy for the retailer and then examine its economic impacts on both suppliers and the entire supply chain, aiming to provide insights for supply chain managers regarding the adoption of personalized pricing strategy. We find that the personalized pricing strategy for the retailer depends critically on the degree of product differentiation between two suppliers. If the differentiation level is high, the retailer adopts personalized pricing for both products, which enhances suppliers’ profits and also enables the entire supply chain to achieve its maximum profit. If the differentiation level is moderate, the retailer adopts personalized pricing for only one product, even if both products are ex-ante symmetric. This pricing strategy benefits (may harm) the supplier whose products are priced differently (uniformly), deviating from the strategy preferred by the entire supply chain and therefore warranting special attention. If the differentiation level is low, the retailer again adopts personalized pricing for both products. However, this pricing strategy may harm upstream suppliers by intensifying upstream competition, although it benefits the retailer and the entire channel. Consequently, channel members may have inconsistent preferences for personalized pricing. Our work underscores that the downstream personalized pricing strategies are not always optimal for upstream suppliers and the entire supply chain, thereby holding significance for supply chain managers aiming to adopt personalized pricing for greater profits.
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.