The Influence of The Quantitative Relationship Between Bad and Positive Online Reviews on Consumers’ Willingness to Shop Online
DOI:
https://doi.org/10.54691/bcpbm.v43i.4644Keywords:
Quantitative relationship; Online reviews; Consumers’ willingness; Shop online.Abstract
Online shopping evaluation is one of the important decisions for consumers to do online shopping. The negative comments in the evaluation have an important impact on consumers in shopping. Based on the product classification theory, this paper classifies the products consumers mainly buy on online shopping platforms into five major categories: daily necessities, educational and sporting goods, home appliances and digital products, food, and clothing accessories, and serves as a moderating factor. The hypothesis is that the number of negative reviews about logistics and transportation would negatively affect consumers’ willingness to purchase daily necessities and food. The number of bad reviews about merchants’ services would negatively affect consumers’ purchase intention for apparel accessories. The number of bad reviews about products that would negatively affect consumers’ willingness to purchase digital home appliances and educational and sporting goods online was proposed. A questionnaire was used to obtain the sample data of consumers’ online shopping intention, and SPSS was used to test its reliability with different analyses and correlation analyses. Based on the correlation between the content and the number of negative reviews, it showed that six or more negative reviews for food products significantly affect consumers’ willingness to purchase. The number of negative reviews about merchant services for daily necessities and the product for clothing accessories significantly affects consumers’ willingness to purchase. Furthermore, for all types of products, when the number of negative reviews increases, consumers need to increase their willingness to purchase with more positive reviews. Among them, consumers’ occupation, average monthly consumption level, and length of exposure to online shopping moderate the credibility of consumers’ judgment of negative reviews. In conclusion, it is concluded that Taobao merchants should pay attention to the content and quantity in negative reviews, improve the quality of products, services, logistics, and transportation from the consumers’ point of view, and improve the competitiveness of their products for better online marketing.
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Du Weiqiang; Yu Chunling; Zhao Ping; Forum objectivity and attitudes of IWOM recipients [J]; Journal of Psychology; 2011, Issue 08.
Westbrook R A. Product/Consumption Based Affective Responses and Post Purchase Processes[J]. Journal of Marketing Research, 1987, 24(3): 258-270.
Decker, R., & Trusov, M. (2010). Estimating aggregate consumer preferences from online product reviews.
China Internet Network Information Center, 2014; eMarketer, 2013
Riehins M L. Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study[J]. Journal of Marketing, 1983, 47(1): 68-78
Singh D, Jagdip A. Voice, Exit, and Negative Word-of-Mouth Behaviors: An Investigation Across Three Service Categories[J]. Journal of the Academy ofMarketing Scienee, 1990, 18(1): 11-14.
Amdt J. Role of product-related conversations in the diffusion of a new product [J]. Journal of Marketing Research, 1967: 291 -295.
Meijer M, Kleinnijenhui S. Issue News and Corporate Reputation: Applying the Theories of Agenda Setting and Issue Ownership in the Field of Business
Gong Yanping , Liang Shulin . (2014). A study on the impact of online reviews on consumers’ willingness to adopt new technology products - based on ELM perspective. Soft Science, 28(2), 96-99.
Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). How online product reviews affect retail sales: a meta-analysis. Journal of Retailing, 90(2), 217-232.
Horrocks, S., Anderson, E. and Salisbury, C. (2002) Systematic Review of Whether Nurse Practitioners Working in Primary Care Can Provide Equivalent Care to Doctors. British Medical Journal, 324, 819-823.
Park, D. H., Lee, J., & Han, I. (2007). The effect of online consumer reviews on consumer purchasing intention: The moderating role of involvement.
Dellarocas, C., & Narayan, R. (2006). A statistical measure of a population’s propensity to engage in post-purchase online word-of-mouth. Statistical Science, 21(2), 277- 285.
Otterbacher J. “Helpfulness” in Online Communities: A Measure of Message Quality[C]// Annual CHI Conference on Human Factors in Computing Systems, Boston: Academic Press, 2009: 955- 964
Siering W, Michael S, Muntermann J. What Drives the Helpfulness of Online Product Reviews? From Stars to Facts and Emotions[J]. Association for information Systems, 2013, 1(7): 12-22.
Wang Zhenhua. Suggestions and countermeasures for malicious harassment of consumers playing bad reviews on online shopping[J]. Heilongjiang Science,2018,9(04):94-95.
Mudambi S M, Sehuff D. What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com[J]. MIS Quarterly, 2010, 34(1): 185-200.
Song Yuanzheng, Impact of Negative Online Reviews on Consumers’ Purchase Intentions - Moderating Role of Product Type
Jiunn-Woei Lian, Tzu-Ming Lin. Effects of consumer characteristics on their acceptance of online shopping: Comparisons among different product types. Business Comput. Hum. Behav. 2008.
Liberman, N., & Trope, Y. (2008). The Psychology of Transcending the Here and Now. Science, 322, 1201-1205.
Malle E, Buch T, Grone H J. Myeloperoxidase in kidney disease[J]. Kidney International, 2004, 64(6):1956-1967.
Choi et al., 2003. J. Anim. Sci. Technol., 45 (4): 529-536.
Mudambi, S.M. and Schuff, D. (2010) What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon. Com. MIS Quarterly, 34, 185-200.
Nelson, P. Advertising as Information[J]. Journal of Political Economy, 1974, 82: 729.
S W. Norton, W. Norton Jr. An Economic Perspective on the Information Content of Magazine Advertisements[J]. International Journal of Advertising, 1988, 7: 138-148.
Batra, R., &Ahtola, O. T. Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters,1990,2(2). 159-170.
Lal, R., &Sarvary, M. Does the Internet always intensify price competition. Research Paper Series, Graduate School of Business, Stanford University, 1998.
Degeratu, A. M., Rangaswamy, A., & Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of Research in Marketing, 17(1), 55–78.
Darby, M., &Karni, E. Free competition and the optimal amount of fraud. Journal of Law and Economics, 1973, 16, 67-86.
Klatzky, R.L., Lederaman, S.J., & Matula, D.E. Imagined haptic exploration in judgments of object prperties. Journal of Experimental Psychology:Learning, Memory and Cognition, 1991, 17, 314-322.
Wei Dan, Food consumption behavior tendencies based on consumer psychology, Food Industry, Vol. 42, No. 6, 2021, 406-409.
Wang Keshan, Factors influencing consumer choice behavior of online food shopping, China Circulation Economy, Vol. 34, No. 1, January 2020, 74-82
Ye Wan Yin. Survey and Analysis of Clothing Online Consumption Behavior- -Taking the consumer questionnaire survey in Zhejiang province as an example [J]. Journal of Ningbo University (Humanities edition), 2014 (3): 90-93.
The “2019-2020 National Taste” data report; Tmall, 2020.
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