{"title":"开发和验证直播社交商务成功模式","authors":"Guan-Yu Lin, Meng-Xuan Lee, Yi-Shun Wang","doi":"10.1080/08874417.2023.2251417","DOIUrl":null,"url":null,"abstract":"ABSTRACTThe study was designed to explore the determinants affecting consumer online repurchase intention in the context of live-streaming social commerce. A live streaming social commerce success model was developed and verified empirically using data gathered from an anonymous online survey completed by 202 individuals with experience participating in live streaming social-commerce events on the Facebook Live platform. Based on the results, online repurchase intention was predicted directly by post-consumption positive electronic word‐of‐mouth (eWOM) and customer satisfaction. Moreover, customer satisfaction and perceived value were found to influence online repurchase intention through post-consumption positive eWOM generation. Finally, product quality, comparative price, and perceived entertainment were found to be the primary factors driving customer satisfaction, while product quality and perceived competitive price were found to be predictors of perceived value.KEYWORDS: E-commerce success modellive streaming social commerceonline repurchase intentionpositive eWOM generation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Science and Technology, Taiwan [MOST 105-2511-S-018-013-MY3].","PeriodicalId":54855,"journal":{"name":"Journal of Computer Information Systems","volume":"31 1","pages":"0"},"PeriodicalIF":2.5000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing and Validating a Live Streaming Social Commerce Success Model\",\"authors\":\"Guan-Yu Lin, Meng-Xuan Lee, Yi-Shun Wang\",\"doi\":\"10.1080/08874417.2023.2251417\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACTThe study was designed to explore the determinants affecting consumer online repurchase intention in the context of live-streaming social commerce. A live streaming social commerce success model was developed and verified empirically using data gathered from an anonymous online survey completed by 202 individuals with experience participating in live streaming social-commerce events on the Facebook Live platform. Based on the results, online repurchase intention was predicted directly by post-consumption positive electronic word‐of‐mouth (eWOM) and customer satisfaction. Moreover, customer satisfaction and perceived value were found to influence online repurchase intention through post-consumption positive eWOM generation. Finally, product quality, comparative price, and perceived entertainment were found to be the primary factors driving customer satisfaction, while product quality and perceived competitive price were found to be predictors of perceived value.KEYWORDS: E-commerce success modellive streaming social commerceonline repurchase intentionpositive eWOM generation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Science and Technology, Taiwan [MOST 105-2511-S-018-013-MY3].\",\"PeriodicalId\":54855,\"journal\":{\"name\":\"Journal of Computer Information Systems\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/08874417.2023.2251417\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/08874417.2023.2251417","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Developing and Validating a Live Streaming Social Commerce Success Model
ABSTRACTThe study was designed to explore the determinants affecting consumer online repurchase intention in the context of live-streaming social commerce. A live streaming social commerce success model was developed and verified empirically using data gathered from an anonymous online survey completed by 202 individuals with experience participating in live streaming social-commerce events on the Facebook Live platform. Based on the results, online repurchase intention was predicted directly by post-consumption positive electronic word‐of‐mouth (eWOM) and customer satisfaction. Moreover, customer satisfaction and perceived value were found to influence online repurchase intention through post-consumption positive eWOM generation. Finally, product quality, comparative price, and perceived entertainment were found to be the primary factors driving customer satisfaction, while product quality and perceived competitive price were found to be predictors of perceived value.KEYWORDS: E-commerce success modellive streaming social commerceonline repurchase intentionpositive eWOM generation Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the Ministry of Science and Technology, Taiwan [MOST 105-2511-S-018-013-MY3].
期刊介绍:
The Journal of Computer Information Systems (JCIS) aims to publish manuscripts that explore information systems and technology research and thus develop computer information systems globally.
We encourage manuscripts that cover the following topic areas:
-Analytics, Business Intelligence, Decision Support Systems in Computer Information Systems
- Mobile Technology, Mobile Applications
- Human-Computer Interaction
- Information and/or Technology Management, Organizational Behavior & Culture
- Data Management, Data Mining, Database Design and Development
- E-Commerce Technology and Issues in computer information systems
- Computer systems enterprise architecture, enterprise resource planning
- Ethical and Legal Issues of IT
- Health Informatics
- Information Assurance and Security--Cyber Security, Cyber Forensics
- IT Project Management
- Knowledge Management in computer information systems
- Networks and/or Telecommunications
- Systems Analysis, Design, and/or Implementation
- Web Programming and Development
- Curriculum Issues, Instructional Issues, Capstone Courses, Specialized Curriculum Accreditation
- E-Learning Technologies, Analytics, Future