Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2023 | 48 | 2 | 111-133

Article title

Analysis of citations and co-citations of the term ‘word of mouth’ based on publications in the field of social sciences

Content

Title variants

Languages of publication

Abstracts

EN
Word of mouth' (WOM) as a communication tool has evolved quite significantly over the last few decades. Originally, word-of-mouth communication was limited to local coverage, i.e. it was restricted only to the closest people in the circle of the sender of the message. Technological developments over the past 30 years, particularly in computer and mobile technologies, have brought about significant changes in this form of communication. The information provided has become global; the consumer can communicate directly with the entrepreneur. Examples of bibliographic analyses of only electronic word of mouth (eWOM) without consideration of traditional WOM can be found in the literature. It therefore seems important to try to analyse the literature collection on both WOM and eWOM. The article aims to identify and present the most frequently cited works (along with their authors), as well as the publications most frequently referred to by authors publishing works related to WOM. Citation analysis and co-citation analysis were used to realise the stated aim. The basis for the analyses is a collection of publications from the WoS database. The results obtained made it possible to identify and create a list of the most frequently cited and co-cited publications.

Year

Volume

48

Issue

2

Pages

111-133

Physical description

Dates

published
2023

Contributors

  • University of Szczecin, Institute of Management, Cukrowa Street 8, 71-004, Szczecin, Poland

References

  • Abbas, A. F., Jusoh, A. B., Mas'od, A., & Ali, J. (2020). Bibliometric analysis of global research trends on electronic word of mouth using Scopus database. Journal of Critical Reviews, 7(16), 405–412.
  • Allport, G. W., & Postman, L. (1946). An analysis of rumor. Public Opinion Quarterly, 10(4), 501–517.
  • Anderson, M. H. (2006). How can we know what we think until we see what we said? A citation and citation context analysis of Karl Weick's the social psychology of organizing. Organization Studies, 27(11), 1675–1692.
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
  • Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975.
  • Bhaiswar, R., Meenakshi, N., & Chawla, D. (2021). Evolution of electronic word of mouth: A systematic literature review using bibliometric analysis of 20 years (2000–2020). FIIB Business Review, 10(3), 215–231.
  • Boyack, K., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351–374.
  • Brodie, R. J., Ilic, A., Juric, B., & Hollebeek, L. (2013). Consumer engagement in a virtual brand community: An exploratory analysis. Journal of Business Research, 66(1), 105–114.
  • Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14, 350–362.
  • Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing. Journal of Strategic Marketing, 6(3), 241–254.
  • Cesvet, B., Babinski, T., & Alper, E. (2010). Kapitał konwersacyjny: jak tworzyć rzeczy, o których inni będą chcieli rozmawiać. Oficyna a Wolters Kluwer Business.
  • Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354.
  • Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in electronic wordofmouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75.
  • Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of Informetrics, 5(1), 146–166.
  • De Matos, C. A., & Rossi, C. A. V. (2008). Word-of-mouth communications in marketing: A meta-analytic review of the antecedents and moderators. Journal of the Academy of Marketing Science, 36, 578–596.
  • de Solla Price, D. J. (1965). Networks of scientific papers. Science, 149(3683), 510–515.
  • Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407–1424.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021a). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
  • Donthu, N., Kumar, S., Pandey, N., Pandey, N., & Mishra, A. (2021b). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773.
  • Ejdys, J. (2016). Problematyka społecznej odpowiedzialności biznesu jako obiekt naukowych zainteresowań - wyniki analizy bibliometrycznej. Przegląd Organizacji, 4(915), 36–44.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
  • Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1(4), 359–375.
  • Gawrońska, M. (2013). Marketing szeptany jako nowoczesna forma promocji. Rynek, Społeczeństwo, Kultura, 2(6), 30–35.
  • Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545–560.
  • Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38–52.
  • Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and productattribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17(4), 454–462.
  • Huang, M., Cai, F., Tsang, A. S. L., & Zhou, N. (2011). Making your online voice loud: The critical role of WOM information. European Journal of Marketing, 45(7/8), 1277–1297.
  • Huete-Alcocer, N. (2017). A literature review of word of mouth and electronic word of mouth: Implications for consumer behavior. Frontiers in Psychology, 8:1256.
  • Jha, R., Jbara, A.-A., Qazvinian, V., & Radev, D. R. (2017). NLP-driven citation analysis for scientometrics. Natural Language Engineering, 23(1), 93–130.
  • Klincewicz, K., Mijal, M., & Żemigała, M. (2012). Bibliometria w zarządzaniu technologiami i badaniami naukowymi. Ministerstwo Nauki i Szkolnictwa Wyższego.
  • Kundu, S., & Rajan, C. R. (2016). Word of mouth: A literature review. International Journal of Economics and Management Sciences, 6, 467.
  • Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96.
  • Lenart-Gansiniec, R. (2021). Systematyczny przegląd literatury w naukach społecznych. Przewodnik dla studentów, doktorantów i nie tylko. Wydawnictwo Naukowe SCHOLAR, Warszawa, Poland.
  • Linkiewicz, A. (2015). Ewolucja marketingu szeptanego jako narzędzia komunikacji marketingowej w świetle rozwoju technologii informacyjnych. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 406, 346–357.
  • Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458–468.
  • Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.
  • McCain, K. W. (1990). Mapping scholars in intellectual space: A technical overview. Journal of the American Society for Information Science, 41(6), 433–443.
  • Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50–64.
  • Mudambi, S. M., & Schuff, D. (2010). Research note: What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185–200.
  • O'Reilly, K., & Marx, S. (2011). How young, technical consumers assess online WOM credibility. Qualitative Market Research: An International Journal, 14 (4), 330–359.
  • Osareh, F. (1996). Bibliometrics, citation analysis and co-citation analysis: A review of literature I. Libri, 46(3), 227–225 149–158.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
  • Richins, M. L. (1983). Negative word-of-mouth by dissatisfied consumers: A pilot study. Journal of Marketing, 47(1), 68–78.
  • Roemer, R. C., & Borchardt, R. (2015). Meaningful metrics: A 21st century librarian's guide to bibliometrics, altmetrics, and research impact. American Library Association.
  • Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269.
  • Stokes, D., Syed, S. A., & Lomax, W. (2002). Shaping up word of mouth marketing strategy: The case of an independent health club. Journal of Research in Marketing and Entrepreneurship, 4(2), 119–133.
  • Sweeney, J., Soutar, G., & Mazzarol, T. (2014). Factors enhancing word-of-mouth influence: Positive and negative service-related messages. European Journal of Marketing, 48(1/2), 336–359.
  • Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90–102.
  • Usdiken, B., & Pasadeos, Y. (1995). Organizational analysis in North-America and Europe - A comparison of co-citation networks. Organization Studies, 16(3), 503–526.
  • v. Wangenheim, F., & Bayón, T. (2004). The effect of word of mouth on services switching: Measurement and moderating variables. European Journal of Marketing, 38(9/10), 1173–1185.
  • Van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266.
  • Westbrook, R. A. (1987). Product/consumption - based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258–270.
  • Zaraket, S. (2020). Consumer behaviour and social network sites: The impact of negative word of mouth. Routledge.
  • Zhang, G., Ding, Y., & Milojević, S. (2013). Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content. Journal of the American Society for Information Science and Technology, 64(7), 1490–1503.
  • Zhu, X., Turney, P., Lemire, D., & Vellino, A. (2015). Measuring academic influence: Not all citations are equal. Journal of the Association for Information Science and Technology, 66(2), 408–427.
  • Zhu, F., & Zhang (Michael), X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133–14.
  • Zupic, I., & Cater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429–472.
  • van Eck, N. J., Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
11542162

YADDA identifier

bwmeta1.element.ojs-doi-10_2478_minib-2023-0012
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.