Developing and Validating a Live Streaming Social Commerce Success Model

IF 2.5 4区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Computer Information Systems Pub Date : 2023-09-14 DOI:10.1080/08874417.2023.2251417
Guan-Yu Lin, Meng-Xuan Lee, Yi-Shun Wang
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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].
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开发和验证直播社交商务成功模式
摘要本研究旨在探讨直播社交电商背景下影响消费者在线再购买意愿的因素。通过对202名在Facebook live平台上参与过直播社交商务活动的个人进行匿名在线调查,我们开发了一个直播社交商务成功模型,并对其进行了实证验证。基于研究结果,消费后正面电子口碑(eom)和顾客满意度直接预测了在线再购买意愿。此外,顾客满意度和感知价值通过消费后正向eWOM的产生对网络再购买意愿产生影响。最后,产品质量、比较价格和感知娱乐被发现是驱动客户满意度的主要因素,而产品质量和感知竞争价格被发现是感知价值的预测因素。关键词:电子商务成功模式直播社交商务在线回购意向正向eom生成披露声明作者未报告潜在利益冲突。本研究得到了台湾科技部的支持[MOST 105-2511-S-018-013-MY3]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Computer Information Systems
Journal of Computer Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.80
自引率
7.10%
发文量
82
审稿时长
>12 weeks
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
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