The Impact of Online Word-of-Mouth from Multi-Platform on Product Sales

Authors

  • Liu Yang
  • Tachakorn Wongkumchai
  • Ntapat Worapongpat

Keywords:

online word-of-mouth, product sales, social mediaplatforms, e-commerce platformArticle InfoReceived 19August2023Revised 30 August 2023Accepted 30August2023Available online 31August2023

Abstract

This Articleaimed to study 1.the comprehensive impact of various dimensions of online word-of-mouth(WoM) from a single e-commerce platform on product sales. 2.the impact of integrating social media platforms' online WoM on product sales. 3.the most important online WoM factors that affect product sales. The number of comments and picture reviews, the star rating of fourteen skin care products from the JD e-commerce platform, andthe number of comments from the third-party social media platform Xiaohongshuare selected as the dimension of online WoM. 20578 valid samples of WoM from JD andXiaohongshu are captured by crawler programs. The sample data is processed andanalyzedby SPSS. The research results were found as follows:1.The number of commentsand image reviews from the JD e-commerce platform significantly impactsproduct sales. This means that consumers are more inclined to choose products with alarge number of comments and image reviews when purchasing skincare products online. High-qualityproduct image reviews are intuitive and persuasive, provide more detailed productinformation, give consumersa more authentic understanding of the product, and are crucial for attracting more potential consumers' attention and trust.2.The JD star rating has no significant impact on product sales. Because all the products have relatively high average rating scoreswhich leads consumers to overlook the small difference in ratings among products.3.The number of comments fromthe third-partysocial media platform Xiaohongshu significantly impactsproduct sales. This means that consumers like to search for products across different platforms to understand the products comprehensively. More comments mean that the products have gained recognition from purchased consumers which will attract and stimulate more potentialconsumers to make purchasing decisions.

Author Biographies

Liu Yang

Faculty of Management Sciences, Dhonburi Rajabhat University, Thailand,

Tachakorn Wongkumchai

Faculty of Management Sciences, Dhonburi Rajabhat University, Thailand

Ntapat Worapongpat

Center for Knowledge Transfer, Technology, Community Innovation,Entrepreneurship, Tourism and EducationEastern Institute of Technology Suvarnabhumi (EITS) and Educational Innovation Institute Association for the Promotion of Alternative Education (EII), Thailand

References

China Internet Network Information Center. (2022).The50thStatistical Report on Internet Development in China.Retrievedfrom:https://www.cnnic.net.cn/n4/2023/0303/c88-10757.html.eMarketing Institute. (2018). Social Media Marketing: Social Media Marketing Fundamentals. Retrieved from: https//www.emarketinginstitute.org Hu,Yaqi&Lin,Hai. (2021). The impact of online comment features on the sales of fresh e-commerce agricultural products: Evidence from the big data of Taobao lamb.Journal of China Agricultural University, 26(06), 206-218.Jia, Q., & Chen, J. (2021). How Does Word of Mouth from Different Components Systems Influence Product Sales differently?In Proceedings ofthe International Conference on Electronic Business, Volume 21 (pp. 619-625). ICEB’21, Nanjing, China, December 3-7.Lakshman, D. (2021). Impact of Online Client Reviews on Sales Performance of Online Stores.International Journal of Research in Management & Business Studies, 8(12), 39-51.Leeflang, P. S. H. , Verhoef, P. C. , Dahlstroem, P. , & Freundt, T. .(2014). Challenges and solutions for marketing in a digital era. European Management Journal, 32(1), 1-12.Li,Qi&Ren,Xiaojing.(2015). Differences in Consumer Perceived Usefulness of Positive Online Comments on Different Platform Types Exploration of Economic Issues.(10), 41-47.Liao,Junyun, & Huang,Minxue. (2016). An empirical study on online product reviews, branding, and product sales based on hotel sales. Journal of Management, 13(1),122.Huang, Z., & Zhe, C. (2022). Spanning 36 years, the evolution and trend of word-of-mouth marketing research–based on bibliometrix analysis. Academic Journal of Business & Management, 4(8), 127-134.Sattelberger, F. (2015). Optimising media marketing strategies in a multi-platform world: an inter-relational approach to pre-release social media communication and online searching. Journal of Media Business Studies, 12(1), 66-88.SEOPressor(2021).Connect Review. -The BestWordPress SEO Plugin. Retrieved from:https://www.digitaldesignjournal.com/seopressor-connect-review/Zhou, Xiaoqian, & Chen, Yuemei. (2021). Areview of IWOM-related studies. Jiangsu Business Journal,(1), 41-45.

Downloads

Published

2024-01-01 — Updated on 2024-02-19

Versions