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Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in

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  • Kaushik, Kapil
  • Mishra, Rajhans
  • Rana, Nripendra P.
  • Dwivedi, Yogesh K.

Abstract

Prominent e-commerce platforms allow users to write reviews for the available products. User reviews play an important role in creating the perception of the product and impact the sales. Online reviews can be considered as an important source of e-word of mouth (e-WOM) on e-commerce platforms. Various dimensions of e-WOM on product sales have been examined for different products. Broadly, studies have explored the effect of summary statistics of reviews on product sales using data from various e-commerce platforms. Few studies have utilized other review characteristics as length, valence, and content of the reviews. The sequence of reviews has been hardly explored in the literature. This study investigates the impact of sequence of helpful reviews along with other review characteristics as ratings (summary statistics), volume, informativeness, and valence of reviews on product sales. Hence, a holistic approach has been used to explore the role of summary statistics, volume, content and sequence of reviews on product sales with special emphasis on sequence of reviews. Relevant theories such as message persuasion, cognitive overload and belief adjustment model have also been explored during the construction of the model for review data. The proposed model has been validated using the helpful reviews available on Amazon.in website for various products.

Suggested Citation

  • Kaushik, Kapil & Mishra, Rajhans & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 21-32.
    • Handle: RePEc:eee:joreco:v:45:y:2018:i:c:p:21-32
    DOI: 10.1016/j.jretconser.2018.08.002
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    References listed on IDEAS

    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. Haugtvedt, Curtis P & Wegener, Duane T, 1994. "Message Order Effects in Persuasion: An Attitude Strength Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 205-218, June.
    3. Dhar, Vasant & Chang, Elaine A., 2009. "Does Chatter Matter? The Impact of User-Generated Content on Music Sales," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 300-307.
    4. Weisstein, Fei L. & Song, Lei & Andersen, Peter & Zhu, Ying, 2017. "Examining impacts of negative reviews and purchase goals on consumer purchase decision," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 201-207.
    5. 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.
    6. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    7. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    8. Singh, Jyoti Prakash & Irani, Seda & Rana, Nripendra P. & Dwivedi, Yogesh K. & Saumya, Sunil & Kumar Roy, Pradeep, 2017. "Predicting the “helpfulness” of online consumer reviews," Journal of Business Research, Elsevier, vol. 70(C), pages 346-355.
    9. Quentin Jones & Gilad Ravid & Sheizaf Rafaeli, 2004. "Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration," Information Systems Research, INFORMS, vol. 15(2), pages 194-210, June.
    10. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    11. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P. & Algharabat, Raed, 2018. "Examining factors influencing Jordanian customers’ intentions and adoption of internet banking: Extending UTAUT2 with risk," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 125-138.
    12. 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.
    13. 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.
    14. Malhotra, Naresh K, 1984. "Reflections on the Information Overload Paradigm in Consumer Decision Making [Perspectives on Information Overload]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 436-440, March.
    15. Purnawirawan, Nathalia & De Pelsmacker, Patrick & Dens, Nathalie, 2012. "Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 244-255.
    16. Pradeep K. Chintagunta & Shyam Gopinath & Sriram Venkataraman, 2010. "The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets," Marketing Science, INFORMS, vol. 29(5), pages 944-957, 09-10.
    Full references (including those not matched with items on IDEAS)

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