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 word-of-mouth (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 product-attribute 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