Research on the Motivation of Users' Participation in Online Reviews on Catering O2O Platform

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Hui Bai
Zhongwu Li



As the number of Internet users in China reached 904 million, the Internet penetration rate reached 64.5% and the number of online shopping users was 710 million up to March 2020. With the progress of science, technology and the vigorous development of network infrastructures, the sales growth of traditional chain retail companies has slowed down and the growth rate of profits has declined, so chain retail companies need to adapt to the characteristics of the times. It is urgent to actively seek the development of transformation. The essence of O2O (Online to Offline) is to integrate virtual network business and real business in the field of life consumption through Internet technology. The current study applied TAM model to research on the relationships between independent variables (the individual’s pursuit of economic returns, reputation and self-efficacy) and dependent variable (users’ willingness to participate in online review), while moderating by other users’ perceived comment costs. The results shown that comment cost has a moderating effect on the effect of perceived usefulness on online comment intention (review), and all independent variables and dependent variable have significant relationships either directly or indirectly.


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Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734-749. doi:10.1109/TKDE.2005.99

Ahmad, F., & Guzmán, F. (2021). Consumer skepticism about online reviews and their decision-making process: The role of review self-efficacy and regulatory focus. Journal of Consumer Marketing, 38(5), 587-600.

Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.

Amed, S., Mukherjee, S., Das, P., & Datta, B. (2019). Triggers of positive eWOM: exploration with web analytics. Marketing Intelligence & Planning, 37(4), 433-450.

Bae, S. Y., & Han, J. H. (2020). Considering cultural consonance in trustworthiness of online hotel reviews among generation Y for sustainable tourism: An extended TAM model. Sustainability, 12(7), 2942.

Chen, M.-Y., Teng, C.-I., & Chiou, K.-W. (2020). The helpfulness of online reviews: Images in review content and the facial expressions of reviewers’ avatars. Online Information Review, 44(1), 90-113.

Cropanzano, R., & Mitchell, M. S. (2005). Social exchange theory: An interdisciplinary review. Journal of management, 31(6), 874-900.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.

Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?—An empirical investigation of panel data. Decision support systems, 45(4), 1007-1016.

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. In: Sage Publications Sage CA: Los Angeles, CA.

Frey, B. S., & Stutzer, A. (2002). What can economists learn from happiness research? Journal of Economic literature, 40(2), 402-435.

Fu, D., & Wang, K. (2015). The Effect of Review Returns on online product Reviews: A Social Relationship Perspective. Electronic Commerce Research, 18(11), 1-12.

Guo, K., Wang, H., & Zhao, Y. (2014). Antecedents of Consumers' Comments through Online Reputation System: An Empirical Study Based on TAM. Management Review, 26(09), 180-190.

Homburg, C., & Fürst, A. (2005). How organizational complaint handling drives customer loyalty: an analysis of the mechanistic and the organic approach. Journal of Marketing, 69(3), 95-114.

Huang, C., Wang, X., Gu, Y., & Peng, J. (2011). College Students' Self-efficacy. China Classification.

Jin, C., & Wang, H. (2016). Economic Return, Power Acquisition and self-actualization: A Study of the Motivation of Private College Sponsors in China. Education Development Research, 36(21), 64-69.

Kim, H.-W., Chan, H. C., & Gupta, S. (2007). Value-based adoption of mobile internet: an empirical investigation. Decision support systems, 43(1), 111-126.

Kim, H.-Y. (2013). Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restorative dentistry & endodontics, 38(1), 52-54.

Koestner, R., Lekes, N., Powers, T. A., & Chicoine, E. (2002). Attaining personal goals: self-concordance plus implementation intentions equals success. Journal of personality and social psychology, 83(1), 231.

Li, Y. (2021). Research on the Configuration of Users' Intention to Comment on E-commerce Platform. Technical Economy and Management Research, 2021(01), 56-59.

Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.

Liu, Y., Lang, Y., & Li, L. (2013). Research on the motivation of Weibo users to generate content. library and information service, 57(10), 51.

Longfield, A., Romas, J., & Irwin, J. D. (2006). The self-worth, physical and social activities of graduate students: A qualitative study. College Student Journal, 40(2), 282-293.

Lu, Y., & Xu, H. (2005). A comparative study of technology acceptance models and their related theories. Scientific and technological progress and countermeasures, 22(10), 176-178.

Luo, H., Zhou, W., Song, W., & He, X. (2022). An Empirical Study on the Differences between Online Picture Reviews and Text Reviews. Information, 13(7), 344.

McClelland, D. C. (1961). Achieving society (Vol. 92051): Simon and Schuster.

Raharjo, G. P. A. (2020). Brand heritage, corporate reputation and brand image on buying intention. Journal of Applied Management and Business, 1(1), 11-16.

Sun, N. (2016). Analysis of Factors Affecting Consumer Online Review Behavior. Journal of Hubei Correspondence University, 29(21), 99-100+177.

Tang, M., & Zhu, J. (2019). Research of O2O website based consumer purchase decision-making model. Journal of Industrial and Production Engineering, 36(6), 371-384.

Tao, X., Zhang, X., Yang, J., & Zhang, Z. (2017). Online Review, Research on the Relationship between Perceived Usefulness and New Product Diffusion. China Soft Science, 2017(07), 162-171.

Tinsley, H. E., & Tinsley, D. J. (1987). Uses of factor analysis in counseling psychology research. Journal of counseling psychology, 34(4), 414.

Wang, O., & Scrimgeour, F. (2021). Consumer adoption of online-to-offline food delivery services in China and New Zealand. British Food Journal, 124(5), 1590-1608.

West, R., & Turner, H. L. (2007). Introducing Communication Theory. 392-409.

Xie, Y., Shen, C., Yang, X., & Wu, W. (2016). Research on the effect of online learning space on improving self-efficacy. China Audio-Visual Education, 2016(01), 34-40.

Xu, X., Zhao, Y., Wu, M., Zhu, Q., & Shao, Y. (2017). An empirical study on user loss behavior of social networking sites from the perspective of SOR Theory. Journal of Information, 36(7), 188-194.

Yan, Q., & Meng, Y. (2013). Factors Affecting the Perceived Usefulness of Online Reviews—An Empirical Study Based on Online Film Reviews. Chinese Journal of Management Science, 21(S1), 126-131.

Yang, Y., Wang, Y., & Sun, G. (2016). Marketing Effect of Network Recommendation System on Consumers-Perspective of Technology Acceptance Model. China Circulation Economy, 30(02), 98-107.

Zhang, Q. (2015). Research on the Correlation between College Students' Self-efficacy and Deep Learning in e-Learning Environment. Electrochemical education research, 36(04), 55-61.

Zhou, T., Kuscsik, Z., Liu, J.-G., Medo, M., Wakeling, J. R., & Zhang, Y.-C. (2010). Solving the apparent diversity-accuracy dilemma of recommender systems. Proceedings of the National Academy of Sciences, 107(10), 4511-4515.

Zhu, G., Ma, L., Sangwan, S., & Lv, Y. (2010). Theoretical and Empirical Research on Consumer Adoption Based on Social Cognitive Theory. Nankai Management Review, 13(03), 12-21.