Psychology Research and Behavior Management (Nov 2022)
Design is More Than Looks: Research on the Affordance of Review Components on Consumer Loyalty
Abstract
Qiong Jia, Yurong Li, Shan Wang Department of Management, Hohai Business School, Hohai University, Nanjing, People’s Republic of ChinaCorrespondence: Qiong Jia, #8 West Focheng Road, Jiangning District, Nanjing, People’s Republic of China, Tel +86 13914488951, Fax +86-25-58099269, Email [email protected]: 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.Methods: 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.Results: 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.Conclusion: 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.Keywords: online review, consumer loyalty, S-O-R theory, affordance theory, TAM model, review components
