社会化问答系统对消费者购买意愿的影响——基于淘宝“问大家”的实证研究

Ruiqian Yang, Shizhong Ai, Na Li, R. Du, Weiguo Fan
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引用次数: 2

摘要

社交问答系统在许多电子商务网站得到了迅速的发展。本文的目的是探讨社会问答系统如何影响消费者的信息处理和购买意愿。设计/方法/方法作者基于信息采用模型(IAM)设计了本研究。首先,作者考虑了中心路径(信息因素)和外围路径(社会因素)对消费者对问答系统中信息有用性感知的影响。然后,利用428个有效数据样本,验证信息和社会因素对购买意愿的影响,并运用结构方程模型(SEM)对模型进行实证检验。总体而言,作者证明了购买意愿受到信息和社会两方面的影响,这是问答系统中的两条路径。具体而言,回答质量和社会存在都对信息有用性有正向影响。有趣的是,被调查者的可信度和回答的一致性对信息有用性没有显著影响。此外,信息有用性正向影响信息采纳,信息采纳正向影响消费者购买意愿。本文为社会问答系统机制设计提供了启示。首先,本文是对电子商务网站社交问答系统研究的有益补充。其次,作者提供了一个新的理论视角,通过扩展IAM来理解社交问答系统对电子商务网站的影响。第三,在原有的信息加工路径中加入答案一致性,得到了不同于以往研究的发现。
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The influence of social Q&A systems on consumers' purchase intention: an empirical study based on Taobao's "Ask Everyone"
PurposeSocial question and answer (Q&A) systems have been rapidly developed on many e-commerce websites. The purpose of this paper is to explore how social Q&A systems influence consumers' information processing and purchase intention.Design/methodology/approachThe authors design this research based on the information adoption model (IAM). First, the auhors consider the impacts of the central route (information factor) and peripheral route (social factor) on consumers' perception of information usefulness in Q&A systems. Then, the authors verify the influence of information and social aspects on purchase intention and empirically test the model with structural equation modelling (SEM) using 428 effective data samples.FindingsOn the whole, the authors prove that purchase intention is influenced by information and social aspects, which are two paths in Q&A systems. Specifically, both answer quality and social presence positively influence information usefulness. Interestingly, respondent credibility and answer consistency do not significantly impact information usefulness. Moreover, information usefulness positively affects information adoption, which positively affects consumer purchase intention.Practical implicationsThis paper provides insights on social Q&A system mechanism design.Originality/valueFirst, this paper is a useful complement to the research on social Q&A systems on e-commerce websites. Second, the authors provide a new theoretical lens through which the impacts of social Q&A systems on e-commerce websites are understood by extending the IAM. Third, the authors add answer consistency into original information process routes, which obtains a finding that is different from those of prior research.
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