UNASSIGNED:在线审查系统包含多个组件,比如收视率,审查文本,产品图片,和视频上传,这可能会影响消费者的忠诚度。然而,这些成分的可负担性如何影响消费者的感知和行为仍不清楚。我们将刺激-生物反应(S-O-R)理论扩展到在线评论系统。具体来说,我们结合供能理论和技术接受模型(TAM)来研究评论系统的供能之间的关系,消费者感知的信念,和他们的忠诚。
UNASSIGNED:我们调查了320名顾客在中国的网上购物体验。我们使用偏最小二乘路径结构方程模型(PLS-SEM)方法检验了我们的假设。我们报告了评论成分的承受能力对消费者忠诚度的直接影响及其通过感知信念对消费者忠诚度的间接影响。
UNASSIGNED:我们的结果表明,评论组件的完整性和社交互动能力与感知的易用性有显着关系,感知有用性,和感知的享受。智能主题挖掘揭示了感知享受的正相关关系。可操作性与感知的易用性和感知的有用性有正相关关系。这三种消费者感知的信念可以调解,不同程度,评论成分的承受能力与消费者忠诚度之间的关系。
UNASSIGNED:这项研究采用了一种创新的方法来提供对IT负担能力与消费者感知之间关系的见解。我们通过信息技术的镜头来研究S-O-R理论,并通过整合IT能力来扩展S-O-R理论。我们的研究结果为企业设计和实施更有效的在线评论系统铺平了道路。
UNASSIGNED: Online
review system contains multiple components, such as ratings,
review text, product pictures, and video uploads, that could affect consumer loyalty. However, how the affordance of such components influences perceptions and behaviors of consumers remains unclear. We extend stimulus-organism-response (S-O-R) theory to the online
review system. Specifically, we combine affordance theory and the technology acceptance model (TAM) to investigate the relations among the affordance of
review systems, consumers\' perceived beliefs, and their loyalty.
UNASSIGNED: We surveyed 320 customers on their online shopping experiences in China. We tested our hypotheses using the partial least squares path structural equation modeling (PLS-SEM) method. We report the direct effect of affordances of
review components on consumer loyalty and its indirect effects on consumer loyalty through perceived beliefs.
UNASSIGNED: Our results show that integrity and social interaction affordance of review components have significant relations with perceived ease of use, perceived usefulness, and perceived enjoyment. Intelligent topic mining reveals a positive relation on perceived enjoyment. Operability has a positive relation with perceived ease of use and perceived usefulness. These three consumer-perceived beliefs can mediate, to different degrees, the relationship between affordance of review components and consumer loyalty.
UNASSIGNED: This research takes an innovative approach to offer insights into the relationships between IT affordances and consumer perceptions. We examine S-O-R theory through the lens of information technology and extend S-O-R theory by integrating IT affordances. Our research findings pave the way for businesses to design and implement more effective online
review systems.