社交商务中的在线冲动性购买:混合方法研究

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Information & Management Pub Date : 2024-02-17 DOI:10.1016/j.im.2024.103943
Haiqin Xu, Xiang Gong, Ruihe Yan
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引用次数: 0

摘要

在社会学习理论的基础上,我们建立了一个模型来研究观察学习和强化学习如何共同决定社交商务中的在线冲动性购买。我们采用混合方法,包括定量实地调查和定性半结构式访谈,对这两种社会学习过程最终形成冲动性购买进行了实证验证。我们的研究从社会学习的角度对社交商务中的在线冲动性购买进行了分析,为相关文献做出了贡献。它为利用社会学习策略促进社交商务提供了实用指导。
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Online impulsive buying in social commerce: A mixed-methods research

Building on social learning theory, we developed a model to examine how observational learning and reinforcement learning collectively determine online impulsive buying in social commerce. We empirically validated that both social learning processes can ultimately formulate impulsive buying with a mixed-methods approach, including a quantitative field survey and a qualitative semistructured interview in the same research inquiry. Our study contributes to the literature by offering a social learning perspective of online impulsive buying in social commerce. It provides practical guidance toward leveraging social learning strategies for promoting social commerce.

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来源期刊
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
期刊介绍: Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.
期刊最新文献
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