Investigating the role of social identification on impulse buying in mobile social commerce: a cross-cultural comparison

IF 4.2 3区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Industrial Management & Data Systems Pub Date : 2021-08-23 DOI:10.1108/imds-09-2020-0550
Shang-Yu Chen, Qingfei Min, Xuefei Xu
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引用次数: 8

Abstract

PurposeAs social commerce migrates to the mobile platform, mobile social commerce (ms–commerce), an emerging way of conducting social commerce in the mobile environment, is gaining popularity among mobile users. Although impulse buying in social commerce has been the focus of scholars in recent years, individuals' impulse-buying behavior in ms–commerce has not been highlighted and therefore is worth investigating. This study addressed that gap by differentiating and monitoring the impacts that three key targets of social identification in ms–commerce exerted on impulse buying. Furthermore, previous studies had highlighted the importance of culture in impulse buying in other contexts, so the authors examined how the effects of the key identification targets differed across cultures, as a result of cultural diversity among the ms–commerce users. Finally, the authors drew upon the lens of information technology (IT) affordances to explore how different combinations of ms–commerce affordances influenced each target of identification.Design/methodology/approachThis research first applied a qualitative methodology by using semi-structured interviews with 27 ms–commerce users to extract the relevant subdimensions of IT affordances in ms–commerce. Then, the authors tested their hypotheses with survey data collected from the United States and China.FindingsThe results clearly illustrate that three key targets of social identification had varying impacts on impulse buying in different cultural dimensions. In addition, nearly all of the proposed IT affordances in ms–commerce aided users in building multiple identifications, to various degrees.Originality/valueThis study extends social commerce research by examining the important role that social identification plays in impulse buying in the mobile environment. Moreover, unlike previous studies that mainly had focused on ordinary buying in social commerce across cultures, this study investigated the relative importance of the targets of social identification on impulse buying in different espoused cultural dimensions. Importantly, the authors used a technology affordance lens to also uncover the context-specific stimulators of separate identification targets, thus going beyond the existing body of knowledge that focused on general beliefs.
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研究社会认同对移动社交商务中冲动购买的作用:跨文化比较
随着社交商务向移动平台迁移,移动社交商务(mobile social commerce, ms-commerce)作为一种在移动环境下进行社交商务的新兴方式,越来越受到移动用户的欢迎。虽然近年来社交商务中的冲动购买一直是学者们关注的焦点,但个人在电子商务中的冲动购买行为并没有得到重视,因此值得研究。本研究通过区分和监测电子商务中社会认同的三个关键目标对冲动购买的影响来解决这一差距。此外,之前的研究强调了文化在其他情况下冲动购买中的重要性,因此作者研究了不同文化背景下关键识别目标的影响是如何不同的,这是电子商务用户文化多样性的结果。最后,作者利用信息技术(IT)功能的视角来探讨不同的电子商务功能组合如何影响每个识别目标。设计/方法/方法本研究首先采用定性方法,对27名电子商务用户进行半结构化访谈,提取电子商务中IT支持的相关子维度。然后,作者用从美国和中国收集的调查数据验证了他们的假设。研究结果清楚地表明,社会认同的三个关键目标在不同的文化维度上对冲动购买有不同的影响。此外,几乎所有建议的电子商务IT功能都在不同程度上帮助用户构建多个标识。原创性/价值本研究通过考察社会认同在移动环境下冲动购买中所起的重要作用,扩展了社交商务研究。此外,与以往的研究主要关注跨文化社交商务中的普通购买不同,本研究调查了不同文化维度下社会认同目标对冲动购买的相对重要性。重要的是,作者还使用了技术支持透镜来揭示单独识别目标的特定情境刺激因素,从而超越了现有的专注于一般信念的知识体系。
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
Industrial Management & Data Systems
Industrial Management & Data Systems 工程技术-工程:工业
CiteScore
9.60
自引率
10.90%
发文量
115
审稿时长
3 months
期刊介绍: The scope of IMDS cover all aspects of areas that integrates both operations management and information systems research, and topics include but not limited to, are listed below: Big Data research; Data analytics; E-business; Production planning and scheduling; Logistics and supply chain management; New technology acceptance and diffusion; Marketing of new industrial products and processes; Sustainable supply chain management; Green information systems; IS strategies; Knowledge management; Innovation management; Performance measurement; Social media in businesses
期刊最新文献
Benefit and risk evaluation of inland nuclear generation investment in Kazakhstan combined with an analytical MGT method Social media influencers, product placement and network engagement: using AI image analysis to empirically test relationships Understanding the differences across data quality classifications: a literature review and guidelines for future research Investigating the role of social identification on impulse buying in mobile social commerce: a cross-cultural comparison Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach
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