New IJM now accepts submissions exclusively via the Editorial Scholar portal — a dedicated submission & review system.
Go to Editorial Scholar →
Associated Management Consultants Pvt. Ltd. | COPE Member · ID: JM07589
Scopus Q3 UGC-CARE ABDC: C |
Indian Journal of Marketing logo

Indian Journal of Marketing

ISSN: 0973-8703 Frequency: Monthly Peer Review: Double-blind Published since: 1968 Language: English
A publication of AMCPL
amcon.co.in
New Delhi, India
Indexed in: Scopus Q3 UGC-CARE Group II ABDC: C Google Scholar J-Gate NAAS NISCAIR Crossref

Original Article

Open Access Original Article

Trends in Electronic Word of Mouth Research : A Bibliometric Review and Analysis

Kala Mahadevan1Sujata Joshi2

1 PhD Research Scholar, Symbiosis International (Deemed University), Village Lavale, Taluka, Mulshi Rd, Pune - 412 115, Maharashtra and Assistant Professor, Dr. V.N. Bedekar Institute of Management Studies, Building No. 4, Jnanadweep, Chendani Bunder Road, Thane (W) - 400 601, Maharashtra

2 Professor, Symbiosis Institute of Digital and Telecom Management, Symbiosis International (Deemed University), Village Lavale, Taluka, Mulshi Rd, Pune - 412 115, Maharashtra

Volume 51
Issue 4
Pages 8–26
Year 2021
Received: Feb. 10, 2020 Accepted: Dec. 21, 2020 Published: April 30, 2021
Abstract

This aim of this paper was to evaluate the research literature on electronic word of mouth (EWOM) by conducting a bibliometric analysis of research papers in the Scopus database both from a global as well as an Indian perspective. The bibliometric review and analysis were carried out using the analytical tools of the Scopus database and Biblioshiny – the shiny interface of the bibliometric tool Bibliometrix. The research literature was investigated over a period of 10 years (2009 – 2019) and analyzed trends in production of research papers, citation trends, top countries, journals, and authors contributing to literature related to EWOM. USA was the topmost contributing country based on the number of publications and citations received. We observed that significant research on EWOM has been conducted in the Asian subcontinent by China, Taiwan, and Hong Kong. The key theories used in researching the domain of electronic word of mouth included the cognitive dissonance theory, the information adoption model, elaboration likelihood model, attribution theory, and the social exchange theory. The intellectual structure of the research on electronic word of mouth was studied in order to offer fundamental insights into recent developments in this research area, which would provide researchers and academicians with a broad guideline for conducting further research in this area.

Keywords Word of Mouth Electronic Word of Mouth EWOM Bibliometric Analysis Bibliometrix Biblioshiny Citation Analysis Literature Review
How to Cite

Kala Mahadevan, Sujata Joshi (2021). Trends in Electronic Word of Mouth Research : A Bibliometric Review and Analysis. Indian Journal of Marketing, 51(4), 8–26. https://doi.org/10.17010/ijom/2021/v51/i4/158468

References
  1. Alabdullatif, A. A., & Akram, M. S. (2018). Exploring the impact of electronic word of mouth and property characteristics on customers’ online booking decision. TEM Journal, 7(2), 411–420. https://www.ceeol.com/search/article-detail?id=664769
  2. Alsaggaf, M. A., & Althonayan, A. (2018). An empirical investigation of customer intentions influenced by service quality using the mediation of emotional and cognitive responses. Journal of Enterprise Information Management, 31(1), 194–223. https://doi.org/10.1108/JEIM-04-2017-0048
  3. Aria, M., & Cuccurullo, C. (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  4. Arora, T., Agarwal, B., & Kumar, A. (2018). A study of millennials’ preferences for social media advertising in Delhi NCR. Indian Journal of Marketing, 48(10), 34–51. https://doi.org/10.17010/ijom/2018/v48/i10/132334
  5. Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth : An examination across genders. Journal of Management Information Systems, 24(4), 101–121. https://doi.org/10.2753/MIS0742-1222240404
  6. Bhāle, S., & Tongare, K. (2018). A conceptual model of helpfulness of online reviews in a blink. Indian Journal of Marketing, 48(2), 7–22. https://doi.org/10.17010/ijom/2018/v48/i2/121331
  7. Chatterjee, P. (2001). Online reviews : Do consumers use them ? SSRN. https://ssrn.com/abstract=900158
  8. Chen, C. - W., Chen, W. - C., & Chen, W. - K. (2014). Understanding the effects of eWOM on cosmetic consumer behavioral intention. International Journal of Electronic Commerce Studies, 5(1), 97–102. http://dx.doi.org/10.7903/ijecs.1030
  9. Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication : A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470. https://doi.org/10.1016/j.dss.2012.06.008
  10. Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth : Informational and normative determinants of online consumer recommendations. International Journal of Electronic
  11. Commerce, 13(4), 9–38. https://doi.org/10.2753/JEC1086-4415130402
  12. Chiou, J. - S., Hsiao, C. - C., & Chiu, T. - Y. (2018). The credibility and attribution of online reviews : Differences between high and low product knowledge consumers. Online Information Review, 42(5), 630–646. https://doi.org/10.1108/OIR-06-2017-0197
  13. Chu, S. - C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75. https://doi.org/10.2501/IJA-30 1-047-075
  14. Churchill, E., Girgensohn, A., Nelson, L., & Lee, A. (2004). Blending digital and physical spaces for ubiquitous community participation. Communications of the ACM, 47(2), 38-44. https://doi.org/10.1145/966389.966413
  15. Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter ?–An empirical investigation of panel data. Decision Support Systems, 45(4), 1007–1016. https://doi.org/10.1016/j.dss.2008.04.001
  16. Dwyer, P. (2007). Measuring the value of electronic word of mouth and its impact in consumer communities. Journal of Interactive Marketing, 21(2), 63–79. https://doi.org/10.1002/dir.20078
  17. Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions : An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
  18. Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford University Press.
  19. Folkes, V. S. (1988). Recent attribution research in consumer behavior : A review and new directions. Journal of Consumer Research, 14(4), 548–565.
  20. Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM : The impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449–456. https://doi.org/10.1016/j.jbusres.2005.10.004
  21. Hall, C. M. (2011). Publish and perish ? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16–27. https://doi.org/10.1016/j.tourman.2010.07.001
  22. Harrison - Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60–75. https://doi.org/10.1177/109467050141006
  23. Helm, S. (2000). Viral marketing - establishing customer relationships by ‘word-of-mouse'. Electronic Markets, 10(3), 158–161. https://doi.org/10.1080/10196780050177053
  24. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumeropinion platforms : What motivates consumers to articulate themselves on the internet ? Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
  25. Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010). The impact of new media on customer relationships. Journal of Service Research, 13(3), 311–330. https://doi.org/10.1177/1094670510375460
  26. Ho, Y. - S. (2008). Bibliometric analysis of biosorption technology in water treatment research from 1991 to 2004. International Journal of Environment and Pollution, 34(1-4), 1–13. https://doi.org/10.1504/IJEP.2008.020778
  27. Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 63(6), 597–606. https://doi.org/10.1086/222355
  28. Hussain, S., Guangju, W., Jafar, R. M. S., Ilyas, Z., Mustafa, G., & Jianzhou, Y. (2018). Consumers' online information adoption behavior : Motives and antecedents of electronic word of mouth communications. Computers in Human Behavior, 80, 22–32. https://doi.org/10.1016/j.chb.2017.09.019
  29. Ifie, K., Simintiras, A. C., Dwivedi, Y., & Mavridou, V. (2018). How service quality and outcome confidence drive preoutcome word-of-mouth. Journal of Retailing and Consumer Services, 44, 214–221. https://doi.org/10.1016/j.jretconser.2018.07.002
  30. India Brand Equity Foundation. (2019a.). E-commerce report. https://www.ibef.org/download/E-Commerce-July 2019.pdf
  31. India Brand Equity Foundation. (2019b.). Retail report. https://www.ibef.org/download/Retail-July-2019.pdf
  32. Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A. (2009). Twitter power : Tweets as electronic word of mouth. Journal of the American Society for Information Science and Technology, 60(11), 2169–2188. https://doi.org/10.1002/asi.21149
  33. Kang, B., & Sivadas, E. (2018). Corporate social responsibility and word-of-mouth intentions. Indian Journal of Marketing, 48(4), 7–20. https://doi.org/10.17010/ijom/2018/v48/i4/122622
  34. Khammash, M., & Griffiths, G. H. (2011). ‘Arrivederci CIAO. com, Buongiorno Bing. com’–Electronic word-ofmouth (eWOM), antecedences and consequences. International Journal of Information Management, 31(1), 82–87. https://doi.org/10.1016/j.ijinfomgt.2010.10.005
  35. Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM) : How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28 (3), 473–499. https://doi.org/10.2501/S0265048709200709
  36. Lindsey, D. (1980). Production and citation measures in the sociology of science : The problem of multiple authorship. Social Studies of Science, 10(2), 145–162. https://doi.org/10.1177/030631278001000202
  37. Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468. https://doi.org/10.1016/j.tourman.2007.05.011
  38. Mangold, W. G., & Smith, K. T. (2012). Selling to millennials with online reviews. Business Horizons, 55(2), 141–153. https://doi.org/10.1016/j.bushor.2011.11.001
  39. Moriarty, J., Jones, R., Rowley, J., & Kupiec-Teahan, B. (2008). Marketing in small hotels : A qualitative study.
  40. Marketing Intelligence & Planning, 26(3), 293–315. https://doi.org/10.1108/02634500810871348
  41. O’Cass, A., & Carlson, J. (2012). An e-retailing assessment of perceived website-service innovativeness : Implications for website quality evaluations, trust, loyalty and word of mouth. Australasian Marketing Journal (AMJ), 20(1), 28–36. https://doi.org/ 10.1016/j.ausmj.2011.10.012
  42. Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri, 46(3), 149 –158. https://doi.org/10.1515/libr.1996.46.3.149
  43. Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect : A moderating role of product type. Journal of Business Research, 62(1), 61–67. https://doi.org/10.1016/j.jbusres.2007.11.017
  44. Pavlou, P. A., & Dimoka, A. (2006). The nature and role of feedback text comments in online marketplaces : Implications for trust building, price premiums, and seller differentiation. Information Systems Research, 17(4), 392–414. https://doi.org/10.1287/isre.1060.0106
  45. Prasad, S., & Sen, S. (2018). Role of conviction in the impact of electronic word of mouth on purchase intention for financial products and services. Indian Journal of Marketing, 48(1), 47–60. https://doi.org/10.17010/ijom/2018/v48/i1/120735
  46. Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348–349.
  47. Rao, K. S., & Rao, B. (2019). Examining eWOM credibility - Consumer purchase intention relationship in Facebook : A mediation analysis. Indian Journal of Marketing, 49(8), 7–22. https://doi.org/10.17010/ijom/2019/v49/i8/146169
  48. Ravi, K., & Ravi, V. (2015). A survey on opinion mining and sentiment analysis : Tasks, approaches and applications. Knowledge-Based Systems, 89, 14–46. https://doi.org/10.1016/j.knosys.2015.06.015
  49. Rowley, J., & Slack, F. (2004). Conducting a literature review. Management Research News, 27(6), 31–39. https://doi.org/10.1108/01409170410784185
  50. Shimpi, S. S. (2018). Social media as an effective marketing tool : An empirical study. Indian Journal of Marketing, 48(7), 36–50. https://doi.org/10.17010/ijom/2018/v48/i7/129725
  51. Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323. https://doi.org/10.1016/j.tourman.2010.12.011
  52. Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations : An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767
  53. Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence - informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
  54. Ullah, N., Ranjha, M. H., & Rehan, M. (2018). The impact of after sale service and service quality on word of mouth, mediating role of customer satisfaction. International Journal of Services and Operations Management, 31(4), 494–512. https://doi.org/10.1504/IJSOM.2018.096170
  55. Vermeulen, I. E., & Seegers, D. (2009). Tried and tested : The impact of online hotel reviews on consumer consideration. Tourism Management, 30(1), 123 –127. https://doi.org/10.1016/j.tourman.2008.04.008
  56. Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258–270. https://doi.org/10.1177/002224378702400302
  57. Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveller behavior : An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human Behavior, 27(2), 634–639. https://doi.org/10.1016/j.chb.2010.04.014
  58. Yoo, C. W., Sanders, G. L., & Moon, J. (2013). Exploring the effect of e-WOM participation on e-Loyalty in e-commerce. Decision Support Systems, 55(3), 669–678. https://doi.org/10.1016/j.dss.2013.02.001
  59. Yusuf, A. S., Che Hussin, A. R., & Busalim, A. H. (2018). Influence of e-WOM engagement on consumer purchase intention in social commerce. Journal of Services Marketing, 32(4), 493–504. https://doi.org/10.1108/JSM-01-2017-0031
  60. Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996). The behavioral consequences of service quality. Journal of Marketing, 60(2), 31–46. https://doi.org/10.1177%2F002224299606000203
Editorial Scholar

Submit your Research to IJM

Submit your Manuscript → Author Guidelines