积极的在线评论在基于风险的消费者行为中的作用:一个信息处理的视角

Tri Lam, Jon Heales, Nicole Hartley
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引用次数: 0

摘要

数字技术的持续发展为信息透明创造了越来越多的机会。消费者使用社交媒体提供在线评论,这些评论关注的是消费者信任水平的变化。本研究考察了感知风险的影响,促使消费者在食品安全的背景下搜索在线评论。设计/方法/方法承诺-信任理论形成了一个理论视角来模拟由在线评论引起的消费者信任的变化。基于消费者的问卷调查收集数据来检验结构模型,使用结构方程模型(SEM)。研究结果表明,当消费者意识到高风险时,他们会使用社交媒体获取更多与产品相关的信息。客观的、一致的、有证据的和引人注目的在线评论对消费者来说是有信息的。研究发现,积极在线评论的感知信息性增加了消费者的信任,进而增加了他们的购买意愿。原创性/价值研究结果有助于了解基于在线评论的信任文献,并为商业信息系统(IS)从业者提供深远的启示。
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The role of positive online reviews in risk-based consumer behaviours: an information processing perspective
Purpose The continuing development of digital technologies creates expanding opportunities for information transparency. Consumers use social media to provide online reviews that are focused on changing levels of consumer trust. This study examines the effect of perceived risk that prompts consumers to search for online reviews in the context of food safety. Design/methodology/approach Commitment-trust theory forms the theoretical lens to model changes in consumer trust resulting from online reviews. Consumer-based questionnaire surveys collected data to test the structural model, using structural equation modelling (SEM). Findings The findings show when consumers perceive high levels of risk, they use social media to obtain additional product-related information. The objective, unanimous, evidential and noticeable online reviews are perceived as informative to consumers. Perceived informativeness of positive online reviews is found to increase consumers trust and, in turn, increase their purchase intentions. Originality/value The findings contribute to the knowledge of online review-based trust literature and provide far-reaching implications for information system (IS)-practitioners in business.
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来源期刊
Aslib Proceedings
Aslib Proceedings 工程技术-计算机:信息系统
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