IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v10y2021i3p215-231.html
   My bibliography  Save this article

Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)

Author

Listed:
  • Rishikesh Bhaiswar
  • N. Meenakshi
  • Deepak Chawla

Abstract

The internet has transformed the consumer approach to evaluate products and services. Consumers follow various internet-based platforms to evaluate products and services. Electronic word of mouth (eWOM) is available in the form of various platforms like social media, online review websites, blogs and discussion forums in the form of textual or visual information. Hence, it is vital to have a comprehensive understanding of the eWOM domain. This article aims to systematically consolidate, synthesize and extend the knowledge on eWOM using bibliometric analysis from a multi-industry and multiple platforms perspective. A total of 746 papers have been obtained between 2000 and 2020 from the top 25 journals from the Web of Science database, including a count of 1,234 authors and 35,351 total citations in the study. This article underlines the trend of publications in eWOM research and identifies the most influential work, most productive authors, countries and journals in the eWOM domain. The clusters from co-citation and co-word analysis networks have defined the intellectual structure of eWOM literature. Finally, the keyword co-occurrence has expressed the research themes in the eWOM area through thematic evolution. The article also discusses the linkage of eWOM to information and communication technologies like the Internet of Things and blockchain technologies. Lastly, the article identifies the gaps in the literature and suggests future research directions.

Suggested Citation

  • Rishikesh Bhaiswar & N. Meenakshi & Deepak Chawla, 2021. "Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)," FIIB Business Review, , vol. 10(3), pages 215-231, September.
  • Handle: RePEc:sae:fbbsrw:v:10:y:2021:i:3:p:215-231
    DOI: 10.1177/23197145211032408
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23197145211032408
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23197145211032408?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Gruen, Thomas W. & Osmonbekov, Talai & Czaplewski, Andrew J., 2006. "eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty," Journal of Business Research, Elsevier, vol. 59(4), pages 449-456, April.
    3. Park, Cheol & Lee, Thae Min, 2009. "Information direction, website reputation and eWOM effect: A moderating role of product type," Journal of Business Research, Elsevier, vol. 62(1), pages 61-67, January.
    4. Anubhav Mishra & S M Satish, 2016. "eWOM: Extant Research Review and Future Research Avenues," Vikalpa: The Journal for Decision Makers, , vol. 41(3), pages 222-233, September.
    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. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    7. 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.
    8. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    9. Elvira Ismagilova & Emma L. Slade & Nripendra P. Rana & Yogesh K. Dwivedi, 0. "The Effect of Electronic Word of Mouth Communications on Intention to Buy: A Meta-Analysis," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    10. 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.
    11. Verma, Sanjeev & Yadav, Neha, 2021. "Past, Present, and Future of Electronic Word of Mouth (EWOM)," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 111-128.
    12. Theuβl, Stefan & Reutterer, Thomas & Hornik, Kurt, 2014. "How to derive consensus among various marketing journal rankings?," Journal of Business Research, Elsevier, vol. 67(5), pages 998-1006.
    13. Kristine de Valck & Roberts V. Kozinets & Andrea C. Wojnicki & Sarah J.S. Wilner, 2010. "Networked Narratives: Understanding Word-of-Mouth Marketing in Online Communities," Post-Print hal-00458424, HAL.
    14. Isidro F. Aguillo, 2012. "Is Google Scholar useful for bibliometrics? A webometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 343-351, May.
    15. Phelps, Joseph E. & Lewis, Regina & Mobilio, Lynne & Perry, David & Raman, Niranjan, 2004. "Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email," Journal of Advertising Research, Cambridge University Press, vol. 44(4), pages 333-348, December.
    16. Éric Archambault & David Campbell & Yves Gingras & Vincent Larivière, 2009. "Comparing bibliometric statistics obtained from the Web of Science and Scopus," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(7), pages 1320-1326, July.
    17. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    18. 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.
    19. Alaa Shoukry & Fares Aldeek, 2020. "Attributes prediction from IoT consumer reviews in the hotel sectors using conventional neural network: deep learning techniques," Electronic Commerce Research, Springer, vol. 20(2), pages 223-240, June.
    20. Sparks, Beverley A. & Browning, Victoria, 2011. "The impact of online reviews on hotel booking intentions and perception of trust," Tourism Management, Elsevier, vol. 32(6), pages 1310-1323.
    21. Gupta, Pranjal & Harris, Judy, 2010. "How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1041-1049, September.
    22. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Akbari, Morteza & Foroudi, Pantea & Zaman Fashami, Rahime & Mahavarpour, Nasrin & Khodayari, Maryam, 2022. "Let us talk about something: The evolution of e-WOM from the past to the future," Journal of Business Research, Elsevier, vol. 149(C), pages 663-689.
    2. Venkata Mrudula Bhimavarapu & Shailesh Rastogi & Preeti Mulay, 2023. "A Bibliometric Study on Corporate Transparency and Disclosures," FIIB Business Review, , vol. 12(2), pages 138-157, June.
    3. Avneet Kaur & Sujata Khandai & Jones Mathew, 2023. "Mapping the Field of Social Media Engagement: A Literature Review Using Bibliometric Analysis," FIIB Business Review, , vol. 12(4), pages 368-385, December.
    4. Shubham Singhania & Jagvinder Singh & Deepti Aggrawal, 2023. "Gender diversity on board and corporate sustainability: a quantitative review based on bibliometric mapping," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 267-286, February.
    5. Błoński Krzysztof, 2023. "Analysis of Citations and Co-Citations of the Term ‘Word of Mouth’ Based on Publications in the Field of Social Sciences," Marketing of Scientific and Research Organizations, Sciendo, vol. 28(2), pages 111-133, June.
    6. Anubhav Mishra & Anuja Shukla, 2023. "Gyan Fresh: Digital Transformation of Dairy Business with Resilience and Technology Innovation," FIIB Business Review, , vol. 12(1), pages 20-30, March.

    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. Akbari, Morteza & Foroudi, Pantea & Zaman Fashami, Rahime & Mahavarpour, Nasrin & Khodayari, Maryam, 2022. "Let us talk about something: The evolution of e-WOM from the past to the future," Journal of Business Research, Elsevier, vol. 149(C), pages 663-689.
    2. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    3. 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.
    4. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
    5. 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.
    6. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    7. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    8. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    9. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    10. Nieto, Jannine & Hernández-Maestro, Rosa M. & Muñoz-Gallego, Pablo A., 2014. "Marketing decisions, customer reviews, and business performance: The use of the Toprural website by Spanish rural lodging establishments," Tourism Management, Elsevier, vol. 45(C), pages 115-123.
    11. 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.
    12. Chen, Jie & Teng, Lefa & Yu, Ying & Yu, Xueer, 2016. "The effect of online information sources on purchase intentions between consumers with high and low susceptibility to informational influence," Journal of Business Research, Elsevier, vol. 69(2), pages 467-475.
    13. 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.
    14. Chowdhury, Nasif, 2016. "The Impact of Electronic Word-of-Mouth on Consumers’ Purchase Intentions in Bangladesh Telecommunication Industry," EconStor Preprints 142747, ZBW - Leibniz Information Centre for Economics.
    15. 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.
    16. Nick Hajli, 2018. "Ethical Environment in the Online Communities by Information Credibility: A Social Media Perspective," Journal of Business Ethics, Springer, vol. 149(4), pages 799-810, June.
    17. Hernández-Ortega, Blanca, 2020. "When the performance comes into play: The influence of positive online consumer reviews on individuals' post-consumption responses," Journal of Business Research, Elsevier, vol. 113(C), pages 422-435.
    18. Ray, Arghya & Bala, Pradip Kumar & Rana, Nripendra P., 2021. "Exploring the drivers of customers’ brand attitudes of online travel agency services: A text-mining based approach," Journal of Business Research, Elsevier, vol. 128(C), pages 391-404.
    19. Anthony Heyes & Sandeep Kapur, 2012. "Customer Anger and Incentives for Quality Provision," Birkbeck Working Papers in Economics and Finance 1215, Birkbeck, Department of Economics, Mathematics & Statistics.
    20. Peiyu Chen & Lorin M. Hitt & Yili Hong & Shinyi Wu, 2021. "Measuring Product Type and Purchase Uncertainty with Online Product Ratings: A Theoretical Model and Empirical Application," Information Systems Research, INFORMS, vol. 32(4), pages 1470-1489, December.

    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:sae:fbbsrw:v:10:y:2021:i:3:p:215-231. 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: SAGE Publications (email available below). General contact details of provider: .

    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.