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Effect of eWOM Valence on Online Retail Sales

Author

Listed:
  • Gobinda Roy
  • Biplab Datta
  • Rituparna Basu

Abstract

Online retail sector in India has witnessed a phenomenal growth in recent times. Online shopping has also become a popular trend among the younger generation in India. Increasing number of shoppers visit online retailer websites and read online reviews before making their purchase decision. The online reviews or electronic word of mouth (eWOM) becomes an important guiding tool for the online shoppers with its intrinsic product information and evaluation characteristics. The present study aims to analyze the effects of various eWOM antecedents on online sales by considering the effects of positive and mixed-neutral eWOM (MNWOM) valence (stimuli) on sales. It also explores the role of market-level eWOM factors, such as price, on online sales of security products like antivirus software. The confirmatory bias of these factors was noted, while the elaboration likelihood model (ELL) has been used to understand the relative importance of these factors in influencing customers’ purchase decision and sales. Further, a content analysis method supplemented by a multiple regression method was used to analyze 205 real-time online sales (reviews from verified purchasers) data pertaining to popular and top-selling antivirus products taken from two leading e-commerce websites. The study contributes as a pioneering effort in the domain with the use of innovative methodology of capturing real-time online data with a subsequent kappa statistics validation. The results showed a new insightful perspective of eWOM valence and price on sales, and provided further research directions.

Suggested Citation

  • Gobinda Roy & Biplab Datta & Rituparna Basu, 2017. "Effect of eWOM Valence on Online Retail Sales," Global Business Review, International Management Institute, vol. 18(1), pages 198-209, February.
    • Handle: RePEc:sae:globus:v:18:y:2017:i:1:p:198-209
    DOI: 10.1177/0972150916666966
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    1. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    2. Papathanassis, Alexis & Knolle, Friederike, 2011. "Exploring the adoption and processing of online holiday reviews: A grounded theory approach," Tourism Management, Elsevier, vol. 32(2), pages 215-224.
    3. Floyd, Kristopher & Freling, Ryan & Alhoqail, Saad & Cho, Hyun Young & Freling, Traci, 2014. "How Online Product Reviews Affect Retail Sales: A Meta-analysis," Journal of Retailing, Elsevier, vol. 90(2), pages 217-232.
    4. Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
    5. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    6. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    7. Garrett P. Sonnier & Leigh McAlister & Oliver J. Rutz, 2011. "A Dynamic Model of the Effect of Online Communications on Firm Sales," Marketing Science, INFORMS, vol. 30(4), pages 702-716, July.
    8. Kuo-Kuang Chu & Chi-Hua Li, 2012. "The study of the effects of identity-related judgment, affective identification and continuance commitment on WOM behavior," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 221-236, January.
    9. Cheng, Yi-Hsiu & Ho, Hui-Yi, 2015. "Social influence's impact on reader perceptions of online reviews," Journal of Business Research, Elsevier, vol. 68(4), pages 883-887.
    10. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    11. Zhang, Jason Q. & Craciun, Georgiana & Shin, Dongwoo, 2010. "When does electronic word-of-mouth matter? A study of consumer product reviews," Journal of Business Research, Elsevier, vol. 63(12), pages 1336-1341, December.
    12. Hervas-Drane, Andres, 2015. "Recommended for you: The effect of word of mouth on sales concentration," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 207-218.
    13. Yuangao Chen & Shuiqing Yang & Zhoujing Wang, 2016. "Service cooperation and marketing strategies of infomediary and online retailer with eWOM effect," Information Technology and Management, Springer, vol. 17(2), pages 109-118, June.
    14. Chung, Jaihak, 2011. "Investigating the roles of online buzz for new product diffusion and its cross-country dynamics," Journal of Business Research, Elsevier, vol. 64(11), pages 1183-1189.
    15. Kim, Junyong & Gupta, Pranjal, 2012. "Emotional expressions in online user reviews: How they influence consumers' product evaluations," Journal of Business Research, Elsevier, vol. 65(7), pages 985-992.
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    Cited by:

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    2. S. G. Li & Y. Q. Zhang & Z. X. Yu & F. Liu, 2021. "Economical user-generated content (UGC) marketing for online stores based on a fine-grained joint model of the consumer purchase decision process," Electronic Commerce Research, Springer, vol. 21(4), pages 1083-1112, December.
    3. Bidyanand Jha, 2019. "The Role of Social Media Communication: Empirical Study of Online Purchase Intention of Financial Products," Global Business Review, International Management Institute, vol. 20(6), pages 1445-1461, December.
    4. Arijit Bhattacharya & Manjari Srivastava, 2020. "A Framework of Online Customer Experience: An Indian Perspective," Global Business Review, International Management Institute, vol. 21(3), pages 800-817, June.
    5. Supratim Kundu & Swapnajit Chakraborti, 2022. "A comparative study of online consumer reviews of Apple iPhone across Amazon, Twitter and MouthShut platforms," Electronic Commerce Research, Springer, vol. 22(3), pages 925-950, September.
    6. Gobinda Roy & Rituparna Basu & Samudyuti Ray, 2023. "Antecedents of Online Purchase Intention Among Ageing Consumers," Global Business Review, International Management Institute, vol. 24(5), pages 1041-1057, October.
    7. Shankar, Amit & Jebarajakirthy, Charles & Ashaduzzaman, Md, 2020. "How do electronic word of mouth practices contribute to mobile banking adoption?," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    8. Md. Shahed Mahmud & Md. Nazmul Islam & Md. Rostam Ali & Nadia Mehjabin, 2024. "Impact of Electronic Word of Mouth on Customers’ Buying Intention Considering Trust as a Mediator: A SEM Approach," Global Business Review, International Management Institute, vol. 25(2_suppl), pages 184-198, April.
    9. Takumi Kato, 2022. "Rating valence versus rating distribution: perceived helpfulness of word of mouth in e-commerce," SN Business & Economics, Springer, vol. 2(11), pages 1-24, November.

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