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Exploring customer sentiment regarding online retail services: A topic-based approach

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  • Wu, Jia-Jhou
  • Chang, Sue-Ting

Abstract

User-generated content is a valuable source for understanding online shoppers' emotions. Using text-mining techniques, this study identifies seven topics regarding online retail services in online posts: product, retailer promotion, delivery, payment, communication, return/refund, and price. The topics are associated with the sentiment polarity of online shoppers' posts. This study further explores whether the emotional responses from domestic and cross-border online shoppers differ with regard to these topics. The results show that differences exist in these two groups' sentiments concerning product and payment. Furthermore, there are differences in the two groups’ respective negative emotions (i.e., anger, sadness, and fear) concerning delivery, communication, and return/refund. The findings of this study provide online retailers with important managerial implications.

Suggested Citation

  • Wu, Jia-Jhou & Chang, Sue-Ting, 2020. "Exploring customer sentiment regarding online retail services: A topic-based approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
  • Handle: RePEc:eee:joreco:v:55:y:2020:i:c:s096969891930997x
    DOI: 10.1016/j.jretconser.2020.102145
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    as
    1. Plotkina, Daria & Munzel, Andreas, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 1-11.
    2. Qile He & Yanqing Duan & Zetian Fu & Daoliang Li, 2006. "An Innovation Adoption Study of Online E-Payment in Chinese Companies," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 4(1), pages 48-69, January.
    3. Guo, Junpeng & Wang, Xiaopan & Wu, Yi, 2020. "Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    4. Gomez-Herrera, Estrella & Martens, Bertin & Turlea, Geomina, 2014. "The drivers and impediments for cross-border e-commerce in the EU," Information Economics and Policy, Elsevier, vol. 28(C), pages 83-96.
    5. Ramkumar, Bharath & Ellie Jin, Byoungho, 2019. "Examining pre-purchase intention and post-purchase consequences of international online outshopping (IOO): The moderating effect of E-tailer's country image," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 186-197.
    6. Daria Plotkina & Andreas Munzel, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Post-Print halshs-01522518, HAL.
    7. Park, Eunil, 2019. "Motivations for customer revisit behavior in online review comments: Analyzing the role of user experience using big data approaches," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 14-18.
    8. Jung, Na Young & Seock, Yoo-Kyoung, 2017. "Effect of service recovery on customers’ perceived justice, satisfaction, and word-of-mouth intentions on online shopping websites," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 23-30.
    9. Raghunathan, Rajagopal & Pham, Michel Tuan, 1999. "All Negative Moods Are Not Equal: Motivational Influences of Anxiety and Sadness on Decision Making, , , , ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 56-77, July.
    10. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    11. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
    12. Francesca De Battisti & Alfio Ferrara & Silvia Salini, 2015. "A decade of research in statistics: a topic model approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 413-433, May.
    13. Geetha, M. & Singha, Pratap & Sinha, Sumedha, 2017. "Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis," Tourism Management, Elsevier, vol. 61(C), pages 43-54.
    14. Tata, Sai Vijay & Prashar, Sanjeev & Gupta, Sumeet, 2020. "An examination of the role of review valence and review source in varying consumption contexts on purchase decision," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    15. Daria Plotkina & Andreas Munzel, 2016. "Delight the experts, but never dissatisfy your customers! A multi-category study on the effects of online review source on intention to buy a new product," Post-Print hal-02423571, HAL.
    16. Eslami, Seyed Pouyan & Ghasemaghaei, Maryam, 2018. "Effects of online review positiveness and review score inconsistency on sales: A comparison by product involvement," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 74-80.
    17. Miao, Miao & Jayakar, Krishna, 2016. "Mobile payments in Japan, South Korea and China: Cross-border convergence or divergence of business models?," Telecommunications Policy, Elsevier, vol. 40(2), pages 182-196.
    18. Zhu, Wenlong & Mou, Jian & Benyoucef, Morad, 2019. "Exploring purchase intention in cross-border E-commerce: A three stage model," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 320-330.
    19. Park, Eunil & Jang, Yeonju & Kim, Jina & Jeong, Nam Jeong & Bae, Kunwoo & del Pobil, Angel P., 2019. "Determinants of customer satisfaction with airline services: An analysis of customer feedback big data," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 186-190.
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