IDEAS home Printed from https://ideas.repec.org/a/igg/jban00/v11y2024i1p1-24.html
   My bibliography  Save this article

A Comparative Study of Online Consumer Reviews Among Mainstream and Niche Products: Analysis Across Emerging and Developed Markets

Author

Listed:
  • Supratim Kundu

    (S.P. Jain Institute of Management and Research, India)

  • Swapnajit Chakraborti

    (FLAME University, India)

Abstract

The purpose of the paper is to understand the variations in the online consumer reviews among product categories across geographies and cultures. We consider the cases of mainstream products and their lesser-known niche counterparts providing similar utilities across emerging and developed markets. We find reviews vary in terms of characteristics and sentiments across the two categories and markets. The reviews for the niches contain in-depth discussions on some topics. We apply mixed method approach of quantitative analysis, topic modeling, sentiment analysis, and network analysis to arrive at the conclusion. The quantitative analyses confirm the variations, while the qualitative approach enables us to create a typology/ontology for the reviews. Based on the observations, we could successfully map various motives and cultural dimensions related to online reviews to our hierarchical typology. Managers may find our study interesting to boost their online review strategy according to the product category in a specific geography.

Suggested Citation

  • Supratim Kundu & Swapnajit Chakraborti, 2024. "A Comparative Study of Online Consumer Reviews Among Mainstream and Niche Products: Analysis Across Emerging and Developed Markets," International Journal of Business Analytics (IJBAN), IGI Global, vol. 11(1), pages 1-24, January.
  • Handle: RePEc:igg:jban00:v:11:y:2024:i:1:p:1-24
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBAN.353306
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    3. East, Robert & Hammond, Kathy & Lomax, Wendy, 2008. "Measuring the impact of positive and negative word of mouth on brand purchase probability," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 215-224.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Williams, Martin & Buttle, Francis, 2011. "The Eight Pillars of WOM management: Lessons from a multiple case study," Australasian marketing journal, Elsevier, vol. 19(2), pages 85-92.
    2. Koji Ishida & Lisa Slevitch & Katia Siamionava, 2016. "The Effects of Traditional and Electronic Word-of-Mouth on Destination Image: A Case of Vacation Tourists Visiting Branson, Missouri," Administrative Sciences, MDPI, vol. 6(4), pages 1-17, September.
    3. Raassens, N. & Haans, Hans, 2017. "NPS and online WOM investigating the relationship between customers’ promoter scores and eWOM behavior," Other publications TiSEM 931e7761-7c6e-40ee-8976-2, Tilburg University, School of Economics and Management.
    4. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    5. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers Dissertations 13, Paderborn University, Faculty of Business Administration and Economics.
    6. Ana B. Casado-Díaz & Leonor M. Pérez-Naranjo & Ricardo Sellers-Rubio, 2017. "Aggregate consumer ratings and booking intention: the role of brand image," Service Business, Springer;Pan-Pacific Business Association, vol. 11(3), pages 543-562, September.
    7. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers CIE 84, Paderborn University, CIE Center for International Economics.
    8. Leann E. Caudill & Dalia L. Diab, 2020. "Digital Word of Mouth and Organizational Attraction: Focusing on Message Characteristics and Time," Corporate Reputation Review, Palgrave Macmillan, vol. 23(3), pages 170-180, August.
    9. Fang, Mingyue & Nie, Huihua & Shen, Xinyi, 2023. "Can enterprise digitization improve ESG performance?," Economic Modelling, Elsevier, vol. 118(C).
    10. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    11. Hui, Xiang & Klein, Tobias & Stahl, Konrad, 2022. "Learning from Online Ratings," CEPR Discussion Papers 17006, C.E.P.R. Discussion Papers.
    12. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    13. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    14. Ravi Bapna & Chrysanthos Dellarocas & Sarah Rice, 2010. "Vertically Differentiated Simultaneous Vickrey Auctions: Theory and Experimental Evidence," Management Science, INFORMS, vol. 56(7), pages 1074-1092, July.
    15. Liuan Wang & Lu (Lucy) Yan & Tongxin Zhou & Xitong Guo & Gregory R. Heim, 2020. "Understanding Physicians’ Online-Offline Behavior Dynamics: An Empirical Study," Information Systems Research, INFORMS, vol. 31(2), pages 537-555, June.
    16. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    17. Nan Yang & Renyu Zhang, 2022. "Dynamic pricing and inventory management in the presence of online reviews," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3180-3197, August.
    18. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
    19. Kenju Kamei & Louis Putterman, 2018. "Reputation Transmission Without Benefit To The Reporter: A Behavioral Underpinning Of Markets In Experimental Focus," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 158-172, January.
    20. Heyes, Anthony & Kapur, Sandeep, 2012. "Angry customers, e-word-of-mouth and incentives for quality provision," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 813-828.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jban00:v:11:y:2024:i:1:p:1-24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.