{"title":"顾客社会价值对推荐奖励方案优化的影响","authors":"Fenfen Jiang, Shue Mei, Weijun Zhong","doi":"10.1080/10919392.2020.1761750","DOIUrl":null,"url":null,"abstract":"ABSTRACT With the popularity of social media, firms are prone to relying on the existing customers’ social contacts to acquire new customers. Referral reward programs (RRPs) have become one of the most effective methods. We highlight social motives for customer referrals and assume that the customer can obtain both firm-offered rewards and psychological intangible rewards named social value from his successful referral. Then we explore the impact of social value on firms’ optimal referral reward structure by comparing the equilibriums of two nested Stackelberg games among a firm, a sender (existing customer), and a receiver (new customer). One of the games ignores the sender’s social value, while the other one considers the impact of the sender’s social value. Firstly, we give the applicable conditions for using RRPs, and show that the sender’s social value helps the firm avoid excessive rewards by sharing the rewards burden. We also find that the firm’s optimal reward structure shifts away from rewarding the sender toward rewarding the receiver or forsaking the reward programs when the firm takes the sender’s social value into account. Considering the conditions under which the firm should use reward programs, the optimal reward structure is closely related to the tie-strength between the two customers. Concretely, when the tie-strength is weak, the firm tends to reward the sender more; conversely, the firm tends to reward the receiver more.","PeriodicalId":54777,"journal":{"name":"Journal of Organizational Computing and Electronic Commerce","volume":"30 1","pages":"279 - 295"},"PeriodicalIF":2.0000,"publicationDate":"2020-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10919392.2020.1761750","citationCount":"6","resultStr":"{\"title\":\"Impact of Customer’s Social Value on Optimizing Referral Reward Programs\",\"authors\":\"Fenfen Jiang, Shue Mei, Weijun Zhong\",\"doi\":\"10.1080/10919392.2020.1761750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT With the popularity of social media, firms are prone to relying on the existing customers’ social contacts to acquire new customers. Referral reward programs (RRPs) have become one of the most effective methods. We highlight social motives for customer referrals and assume that the customer can obtain both firm-offered rewards and psychological intangible rewards named social value from his successful referral. Then we explore the impact of social value on firms’ optimal referral reward structure by comparing the equilibriums of two nested Stackelberg games among a firm, a sender (existing customer), and a receiver (new customer). One of the games ignores the sender’s social value, while the other one considers the impact of the sender’s social value. Firstly, we give the applicable conditions for using RRPs, and show that the sender’s social value helps the firm avoid excessive rewards by sharing the rewards burden. We also find that the firm’s optimal reward structure shifts away from rewarding the sender toward rewarding the receiver or forsaking the reward programs when the firm takes the sender’s social value into account. Considering the conditions under which the firm should use reward programs, the optimal reward structure is closely related to the tie-strength between the two customers. Concretely, when the tie-strength is weak, the firm tends to reward the sender more; conversely, the firm tends to reward the receiver more.\",\"PeriodicalId\":54777,\"journal\":{\"name\":\"Journal of Organizational Computing and Electronic Commerce\",\"volume\":\"30 1\",\"pages\":\"279 - 295\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2020-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10919392.2020.1761750\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Organizational Computing and Electronic Commerce\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1080/10919392.2020.1761750\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Organizational Computing and Electronic Commerce","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1080/10919392.2020.1761750","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Impact of Customer’s Social Value on Optimizing Referral Reward Programs
ABSTRACT With the popularity of social media, firms are prone to relying on the existing customers’ social contacts to acquire new customers. Referral reward programs (RRPs) have become one of the most effective methods. We highlight social motives for customer referrals and assume that the customer can obtain both firm-offered rewards and psychological intangible rewards named social value from his successful referral. Then we explore the impact of social value on firms’ optimal referral reward structure by comparing the equilibriums of two nested Stackelberg games among a firm, a sender (existing customer), and a receiver (new customer). One of the games ignores the sender’s social value, while the other one considers the impact of the sender’s social value. Firstly, we give the applicable conditions for using RRPs, and show that the sender’s social value helps the firm avoid excessive rewards by sharing the rewards burden. We also find that the firm’s optimal reward structure shifts away from rewarding the sender toward rewarding the receiver or forsaking the reward programs when the firm takes the sender’s social value into account. Considering the conditions under which the firm should use reward programs, the optimal reward structure is closely related to the tie-strength between the two customers. Concretely, when the tie-strength is weak, the firm tends to reward the sender more; conversely, the firm tends to reward the receiver more.
期刊介绍:
The aim of the Journal of Organizational Computing and Electronic Commerce (JOCEC) is to publish quality, fresh, and innovative work that will make a difference for future research and practice rather than focusing on well-established research areas.
JOCEC publishes original research that explores the relationships between computer/communication technology and the design, operations, and performance of organizations. This includes implications of the technologies for organizational structure and dynamics, technological advances to keep pace with changes of organizations and their environments, emerging technological possibilities for improving organizational performance, and the many facets of electronic business.
Theoretical, experimental, survey, and design science research are all welcome and might look at:
• E-commerce
• Collaborative commerce
• Interorganizational systems
• Enterprise systems
• Supply chain technologies
• Computer-supported cooperative work
• Computer-aided coordination
• Economics of organizational computing
• Technologies for organizational learning
• Behavioral aspects of organizational computing.