La influencia del boca a boca electrónico en la investigación empresarial: identificación de temas y actores principales
DOI:
https://doi.org/10.21678/jb.2025.2452Palabras clave:
boca a boca electrónico, (eWOM), mapeo científico, análisis de producción científica.Resumen
Propósito: Este artículo investiga cómo ha evolucionado y mejorado la investigación sobre el boca a boca electrónico (eWOM) a lo largo del tiempo, examinando la literatura publicada en revistas académicas de alto impacto y utilizando métodos de análisis de producción científica para identificar su información esencial, tendencias recientes y direcciones futuras.
Diseño/Metodología: Para visualizar y realizar un análisis de la producción científica sobre el eWOM, utilizando la base de datos Web of Science y la herramienta de mapeo científico VOSviewer, este estudio analizó 1,449 artículos relacionados con eWOM publicados entre 2012 y 2022 en el campo de Economía Empresarial. Se identificaron autores influyentes, áreas temáticas y revistas destacadas. También se examinó la estructura temática e intelectual de la investigación sobre eWOM mediante el análisis de co-ocurrencia de palabras clave, coautoría, citación, acoplamiento bibliográfico y co-citación.
Resultados: El análisis revela que la investigación sobre eWOM ha crecido significativamente en diversas disciplinas. Resalta a académicos prominentes, publicaciones influyentes y países líderes. Asimismo, identifica seis temas centrales de la investigación sobre eWOM, incluyendo el panorama digital, las valoraciones y la calidad percibida, y el enfoque centrado en el cliente.
Originalidad: Este artículo analiza la producción científica sobre eWOM, un campo de rápido crecimiento e influencia que afecta tanto las decisiones de compra de los consumidores como a las empresas. Utiliza un análisis completo y exhaustivo del mapeo científico de la literatura sobre eWOM basado en un amplio y actualizado conjunto de datos de artículos. Ofrece una visión completa del campo, destacando los desarrollos, patrones y tendencias actuales, mientras propone nuevas y relevantes vías para investigaciones futuras y proporciona importantes implicaciones para empresas y académicos. Además, avanza en la identificación y mejora de la red de investigación que involucra a países, autores y trabajos publicados.
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Abdullah, H. O., Muhsin Thajil, K., Alnoor, A., Al-Abrrow, H., Khaw, K. W., Chew, X., & Sadaa, A. M. (2022). Predicting Determinants of Use Mobile Commerce through
Ahmad, A. M. K., Abuhashesh, M., Obeidat, Z., & AlKhatib, M. J. (2020). eWOM and airline e-ticket purchasing intention: Mediating effect of online passenger trust. Management Science Letters, 2729–2740.
Ahmad, S. N., & Laroche, M. (2017). Analyzing electronic word of mouth: A social commerce construct. International Journal of Information Management, 37(3).
Alnoor, A., Tiberius, V., Atiyah, A. G., Khaw, K. W., Yin, T. S., Chew, X., & Abbas, S. (2022). How Positive and Negative Electronic Word of Mouth (eWOM) affect customers’ Intention to Use Social Commerce? A Dual-Stage Multi Group-SEM and ANN Analysis. International Journal of Human–Computer Interaction, 1–30.
Baber, H., Pană, M. C., & Fanea-Ivanovici, M. (2024). Predicting Romanian tourism eWOM intentions using value and personality theories. European Journal of Innovation Management, 27(2), 628-647.
Babić Rosario, A., de Valck, K., & Sotgiu, F. (2019). 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, 48(3), 422–448.
Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors. Journal of Marketing Research, 53(3), 297–318.
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.
Chakraborty, Uttam. “Perceived Credibility of Online Hotel Reviews and Its Impact on Hotel Booking Intentions.” International Journal of Contemporary Hospitality Management, vol. ahead-of-print, no. ahead-of-print.
Chen, M. Y. (2016). Can two-sided messages increase the helpfulness of online reviews?. Online Information Review, 40(3), 316-332.
Chen, Y., & Xie, J. (2008). Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science, 54(3), 477–491.
Cheung, C. M. K., & 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.
Chu, S.-C., & Kim, J. (2018). The current state of knowledge on electronic Word-of-Mouth in advertising research. International Journal of Advertising, 37(1), 1–13.
Denyer, D., & Tranfield, D. (2009). Producing a systematic review.
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.
Fahmy, M. M., & Ragab, N. E. (2022). Enhancing enterprise competitiveness and sustainability using eWOM: The case of Egypt. Corporate and Business Strategy Review, 3(1), 29–38.
Flavian, C., Gurrea, R., & Orús, C. (2020). Mobile word of mouth (m-WOM): analysing its negative impact on webrooming in omnichannel retailing. International Journal of Retail & Distribution Management, ahead-of-print(ahead-of-print).
Gelashvili, V., Martínez-Navalón, J. G., DeMatos, N., & de Brito Correia, M. (2024). Technological transformation: The importance of eWOM and perceived privacy in the context of opinion platforms. Technological Forecasting and Social Change, 205, 123472.
Gerdt, S.-O., Wagner, E., & Schewe, G. (2019). The relationship between sustainability and customer satisfaction in hospitality: An explorative investigation using eWOM as a data source. Tourism Management, 74, 155–172.
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.
Herzallah, D., Muñoz Leiva, F., & Liébana-Cabanillas, F. (2021). To buy or not to buy, that is the question: understanding the determinants of the urge to buy impulsively on Instagram Commerce. Journal of Research in Interactive Marketing, ahead-of-print(ahead-of-print).
Ho, Vi Truc, et al. “Impact of Electronic Word of Mouth to the Purchase Intention - the Case of Instagram.” Independent Journal of Management & Production, vol. 12, no. 4, 1 June 2021, pp. 1019–1033.
Hong, H., Xu, D., Wang, G. A., & Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102, 1–11.
Ismagilova, E., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2020). A meta-analysis of the factors affecting eWOM providing behaviour. European Journal of Marketing, 55(4), 1067–1102.
Jasrai, L., Bakshi, I., & Kaur, A. (2024). Role of Electronic Word of Mouth in Shaping Digital Inclusion in a Globalized and Digitalized World. In Developing Digital Inclusion Through Globalization and Digitalization (pp. 383-397). IGI Global.
Kamble, Z., Doan, Q. T., Nguyen, H. N., Zeng, Z., & Liao Zihui, L. (2020). The Significance of Online Reviews for Hotel Entrepreneurial Success. Advances in Business Strategy and Competitive Advantage, 75–86.
Khaoula Akdim. (2021). The influence of eWOM. Analyzing its characteristics and consequences, and future research lines. Spanish Journal of Marketing - ESIC, 25(2), 239–259.
Khwaja, M. G., Mahmood, S., & Zaman, U. (2020). Examining the Effects of eWOM, Trust Inclination, and Information Adoption on Purchase Intentions in an Accelerated Digital Marketing Context. Information, 11(10), 478.
Kim, Angella J., and Eunju Ko. “Do Social Media Marketing Activities Enhance Customer Equity? An Empirical Study of Luxury Fashion Brand.” Journal of Business Research, vol. 65, no. 10, Oct. 2012, pp. 1480–1486.
Kim, J. M., & Hyun, S. (2021). Differences in online reviews caused by distribution channels. Tourism Management, 83, 104230.
Kim, M., & Kim, J. (2019). The Influence of Authenticity of Online Reviews on Trust Formation among Travelers. Journal of Travel Research, 004728751986830.
Kirby, A. (2023). Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool. Publications, 11(1), 10.
Kraiwanit, T. (2021). A multiplier of e-consumption: The study of the developing economy. Journal of Governance and Regulation, 10(3), 85–92.
Kübler, R. V., Colicev, A., & Pauwels, K. H. (2020). Social media's impact on the consumer mindset: When to use which sentiment extraction tool?. Journal of Interactive Marketing, 50(1), 136-155.
Le, L. H., & Ha, Q.-A. (2021). Effects of negative reviews and managerial responses on consumer attitude and subsequent purchase behavior: An experimental design. Computers in Human Behavior, 124, 106912.
Le, T. D., Robinson, L. J., & Dobele, A. R. (2022). eWOM processing from receiver perspective: Conceptualising the relationships. International Journal of Consumer Studies, 47(1), 434-450.
Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from chinese online travel agencies. Electronic Markets, 31(3).
Lis, B. (2013). In eWOM we trust: A framework of factors that determine the eWOM credibility. Wirtschaftsinformatik, 55, 121-134.
Liu, H., Jayawardhena, C., Dibb, S., & Ranaweera, C. (2019). Examining the trade-off between compensation and promptness in eWOM-triggered service recovery: A restorative justice perspective. Tourism Management, 75, 381-392.
Liu, H., Jayawardhena, C., Osburg, V. S., Yoganathan, V., & Cartwright, S. (2021). Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective. Journal of Business Research, 132, 208-220.
Liu, H., Jayawardhena, C., Shukla, P., Osburg, V. S., & Yoganathan, V. (2024). Electronic word of mouth 2.0 (eWOM 2.0)–The evolution of eWOM research in the new age. Journal of Business Research, 176, 114587.
Mukhopadhyay, S., Pandey, R., & Rishi, B. (2023). Electronic word of mouth (eWOM) research–a comparative bibliometric analysis and future research insight. Journal of Hospitality and Tourism Insights, 6(2), 404-424.
Nees Jan, Van Eck, and Ludo Waltman. VOSviewer Manual. 2022. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.18.pdf
Ninkov, A., Frank, J. R., & Maggio, L. A. (2022). Bibliometrics: Methods for studying academic publishing. Perspectives on medical education, 11(3), 173-176.
Orús, C., Gurrea, R., & Flavián, C. (2016). Facilitating imaginations through online product presentation videos: effects on imagery fluency, product attitude and purchase intention. Electronic Commerce Research, 17(4), 661–700.
Pang, H., Qiao, Y., & Zhang, K. (2024). Modeling pathway linking mobile social media intensity to attitude towards electronic word-of-mouth and engagement: the significant role of social trust and perceived homophily. Technological Forecasting and Social Change, 198, 123023.
Park, D.-H., Lee, J., & Han, I. (2007). The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11(4), 125–148.
Pezzuti, T., & Leonhardt, J. M. (2021). How collectivistic values affect online word-of-mouth. International Journal of Market Research, 63(4), 436-453.
Pritchard, A., & groos, O. V. (1969). Documentation notes. Journal of Documentation, 25(4), 344–349.
Reuters, T. (2014). Bibliometric analysis of HRB-supported publications 2000-12. Health Research Board. https://www.hrb.ie/fileadmin/2._Plugin_related_files/Publications/2017_and_earlier_Pubs/Grant_Evaluation_Reports/Bibliometric_analysis_of_HRB-supported_publications_2000-12.pdf
Salminen, J., Kandpal, C., Kamel, A. M., Jung, S., & Jansen, B. J. (2022). Creating and detecting fake reviews of online products. Journal of Retailing and Consumer Services, 64, 102771.
Siddiqui, M. S., Siddiqui, U. A., Khan, M. A., Alkandi, I. G., Saxena, A. K., & Siddiqui, J. H. (2021). Creating Electronic Word of Mouth Credibility through Social Networking Sites and Determining Its Impact on Brand Image and Online Purchase Intentions in India. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1008–1024.
Tomaszewski, R. (2023). Visibility, impact, and applications of bibliometric software tools through citation analysis. Scientometrics, 1-22.
Tsao, Wen-Chin, and Tz-Chi Mau. “Ethics in Social Media Marketing.” Aslib Journal of Information Management, vol. 71, no. 2, 18 Mar. 2019, pp. 195–216,
Van Nunen, K., Li, J., Reniers, G., & Ponnet, K. (2018). Bibliometric analysis of safety culture research. Safety Science, 108, 248–258.
Verma, D., & Dewani, P. P. (2021). eWOM credibility: a comprehensive framework and literature review. Online Information Review, 45(3), 481-500.
Verma, S., & Yadav, N. (2021). Past, present, and future of electronic word of mouth (EWOM). Journal of Interactive Marketing, 53, 111-128.
Vermeer, S. A. M., Araujo, T., Bernritter, S. F., & van Noort, G. (2019). Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic Word-of-Mouth in social media. International Journal of Research in Marketing, 36(3), 492–508.
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.
Wang, Y., Meng, X., Xu, C., & Zhao, M. (2022). Research on electronic word-of-mouth for product and service quality improvement: bibliometric analysis and future directions. International Journal of Intelligent Computing and Cybernetics, 16(1), 68-98.
Whittaker, J. (1989). Creativity and Conformity in Science: Titles, Keywords and Co-word Analysis. Social Studies of Science, 19(3), 473–496.
Xiao, L., Luo, L., & Ke, T. (2022). The influence of eWOM information structures on consumers’ purchase intentions. Electronic Commerce Research, 1-23.
Yohana, N. K. Y., Dewi, K. A. P., & Giantari, I. G. A. K. (2020). The role of brand image mediates the effect of electronic word of mouth (eWOM) on purchase intention. American Journal of Humanities and Social Sciences Research, 1, 215-220.
Yu, D., Xu, Z., & Wang, X. (2019). Bibliometric analysis of support vector machines research trend: a case study in China. International Journal of Machine Learning and Cybernetics, 11(3), 715–728.
Zhang, H., Liang, X., & Qi, C. (2021). Investigating the impact of interpersonal closeness and social status on electronic word-of-mouth effectiveness. Journal of Business Research, 130, 453-461.
Ahmad, A. M. K., Abuhashesh, M., Obeidat, Z., & AlKhatib, M. J. (2020). eWOM and airline e-ticket purchasing intention: Mediating effect of online passenger trust. Management Science Letters, 2729–2740.
Ahmad, S. N., & Laroche, M. (2017). Analyzing electronic word of mouth: A social commerce construct. International Journal of Information Management, 37(3).
Alnoor, A., Tiberius, V., Atiyah, A. G., Khaw, K. W., Yin, T. S., Chew, X., & Abbas, S. (2022). How Positive and Negative Electronic Word of Mouth (eWOM) affect customers’ Intention to Use Social Commerce? A Dual-Stage Multi Group-SEM and ANN Analysis. International Journal of Human–Computer Interaction, 1–30.
Baber, H., Pană, M. C., & Fanea-Ivanovici, M. (2024). Predicting Romanian tourism eWOM intentions using value and personality theories. European Journal of Innovation Management, 27(2), 628-647.
Babić Rosario, A., de Valck, K., & Sotgiu, F. (2019). 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, 48(3), 422–448.
Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors. Journal of Marketing Research, 53(3), 297–318.
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.
Chakraborty, Uttam. “Perceived Credibility of Online Hotel Reviews and Its Impact on Hotel Booking Intentions.” International Journal of Contemporary Hospitality Management, vol. ahead-of-print, no. ahead-of-print.
Chen, M. Y. (2016). Can two-sided messages increase the helpfulness of online reviews?. Online Information Review, 40(3), 316-332.
Chen, Y., & Xie, J. (2008). Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix. Management Science, 54(3), 477–491.
Cheung, C. M. K., & 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.
Chu, S.-C., & Kim, J. (2018). The current state of knowledge on electronic Word-of-Mouth in advertising research. International Journal of Advertising, 37(1), 1–13.
Denyer, D., & Tranfield, D. (2009). Producing a systematic review.
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.
Fahmy, M. M., & Ragab, N. E. (2022). Enhancing enterprise competitiveness and sustainability using eWOM: The case of Egypt. Corporate and Business Strategy Review, 3(1), 29–38.
Flavian, C., Gurrea, R., & Orús, C. (2020). Mobile word of mouth (m-WOM): analysing its negative impact on webrooming in omnichannel retailing. International Journal of Retail & Distribution Management, ahead-of-print(ahead-of-print).
Gelashvili, V., Martínez-Navalón, J. G., DeMatos, N., & de Brito Correia, M. (2024). Technological transformation: The importance of eWOM and perceived privacy in the context of opinion platforms. Technological Forecasting and Social Change, 205, 123472.
Gerdt, S.-O., Wagner, E., & Schewe, G. (2019). The relationship between sustainability and customer satisfaction in hospitality: An explorative investigation using eWOM as a data source. Tourism Management, 74, 155–172.
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.
Herzallah, D., Muñoz Leiva, F., & Liébana-Cabanillas, F. (2021). To buy or not to buy, that is the question: understanding the determinants of the urge to buy impulsively on Instagram Commerce. Journal of Research in Interactive Marketing, ahead-of-print(ahead-of-print).
Ho, Vi Truc, et al. “Impact of Electronic Word of Mouth to the Purchase Intention - the Case of Instagram.” Independent Journal of Management & Production, vol. 12, no. 4, 1 June 2021, pp. 1019–1033.
Hong, H., Xu, D., Wang, G. A., & Fan, W. (2017). Understanding the determinants of online review helpfulness: A meta-analytic investigation. Decision Support Systems, 102, 1–11.
Ismagilova, E., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2020). A meta-analysis of the factors affecting eWOM providing behaviour. European Journal of Marketing, 55(4), 1067–1102.
Jasrai, L., Bakshi, I., & Kaur, A. (2024). Role of Electronic Word of Mouth in Shaping Digital Inclusion in a Globalized and Digitalized World. In Developing Digital Inclusion Through Globalization and Digitalization (pp. 383-397). IGI Global.
Kamble, Z., Doan, Q. T., Nguyen, H. N., Zeng, Z., & Liao Zihui, L. (2020). The Significance of Online Reviews for Hotel Entrepreneurial Success. Advances in Business Strategy and Competitive Advantage, 75–86.
Khaoula Akdim. (2021). The influence of eWOM. Analyzing its characteristics and consequences, and future research lines. Spanish Journal of Marketing - ESIC, 25(2), 239–259.
Khwaja, M. G., Mahmood, S., & Zaman, U. (2020). Examining the Effects of eWOM, Trust Inclination, and Information Adoption on Purchase Intentions in an Accelerated Digital Marketing Context. Information, 11(10), 478.
Kim, Angella J., and Eunju Ko. “Do Social Media Marketing Activities Enhance Customer Equity? An Empirical Study of Luxury Fashion Brand.” Journal of Business Research, vol. 65, no. 10, Oct. 2012, pp. 1480–1486.
Kim, J. M., & Hyun, S. (2021). Differences in online reviews caused by distribution channels. Tourism Management, 83, 104230.
Kim, M., & Kim, J. (2019). The Influence of Authenticity of Online Reviews on Trust Formation among Travelers. Journal of Travel Research, 004728751986830.
Kirby, A. (2023). Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool. Publications, 11(1), 10.
Kraiwanit, T. (2021). A multiplier of e-consumption: The study of the developing economy. Journal of Governance and Regulation, 10(3), 85–92.
Kübler, R. V., Colicev, A., & Pauwels, K. H. (2020). Social media's impact on the consumer mindset: When to use which sentiment extraction tool?. Journal of Interactive Marketing, 50(1), 136-155.
Le, L. H., & Ha, Q.-A. (2021). Effects of negative reviews and managerial responses on consumer attitude and subsequent purchase behavior: An experimental design. Computers in Human Behavior, 124, 106912.
Le, T. D., Robinson, L. J., & Dobele, A. R. (2022). eWOM processing from receiver perspective: Conceptualising the relationships. International Journal of Consumer Studies, 47(1), 434-450.
Li, L., Lee, K. Y., Emokpae, E., & Yang, S.-B. (2021). What makes you continuously use chatbot services? Evidence from chinese online travel agencies. Electronic Markets, 31(3).
Lis, B. (2013). In eWOM we trust: A framework of factors that determine the eWOM credibility. Wirtschaftsinformatik, 55, 121-134.
Liu, H., Jayawardhena, C., Dibb, S., & Ranaweera, C. (2019). Examining the trade-off between compensation and promptness in eWOM-triggered service recovery: A restorative justice perspective. Tourism Management, 75, 381-392.
Liu, H., Jayawardhena, C., Osburg, V. S., Yoganathan, V., & Cartwright, S. (2021). Social sharing of consumption emotion in electronic word of mouth (eWOM): A cross-media perspective. Journal of Business Research, 132, 208-220.
Liu, H., Jayawardhena, C., Shukla, P., Osburg, V. S., & Yoganathan, V. (2024). Electronic word of mouth 2.0 (eWOM 2.0)–The evolution of eWOM research in the new age. Journal of Business Research, 176, 114587.
Mukhopadhyay, S., Pandey, R., & Rishi, B. (2023). Electronic word of mouth (eWOM) research–a comparative bibliometric analysis and future research insight. Journal of Hospitality and Tourism Insights, 6(2), 404-424.
Nees Jan, Van Eck, and Ludo Waltman. VOSviewer Manual. 2022. https://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.18.pdf
Ninkov, A., Frank, J. R., & Maggio, L. A. (2022). Bibliometrics: Methods for studying academic publishing. Perspectives on medical education, 11(3), 173-176.
Orús, C., Gurrea, R., & Flavián, C. (2016). Facilitating imaginations through online product presentation videos: effects on imagery fluency, product attitude and purchase intention. Electronic Commerce Research, 17(4), 661–700.
Pang, H., Qiao, Y., & Zhang, K. (2024). Modeling pathway linking mobile social media intensity to attitude towards electronic word-of-mouth and engagement: the significant role of social trust and perceived homophily. Technological Forecasting and Social Change, 198, 123023.
Park, D.-H., Lee, J., & Han, I. (2007). The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement. International Journal of Electronic Commerce, 11(4), 125–148.
Pezzuti, T., & Leonhardt, J. M. (2021). How collectivistic values affect online word-of-mouth. International Journal of Market Research, 63(4), 436-453.
Pritchard, A., & groos, O. V. (1969). Documentation notes. Journal of Documentation, 25(4), 344–349.
Reuters, T. (2014). Bibliometric analysis of HRB-supported publications 2000-12. Health Research Board. https://www.hrb.ie/fileadmin/2._Plugin_related_files/Publications/2017_and_earlier_Pubs/Grant_Evaluation_Reports/Bibliometric_analysis_of_HRB-supported_publications_2000-12.pdf
Salminen, J., Kandpal, C., Kamel, A. M., Jung, S., & Jansen, B. J. (2022). Creating and detecting fake reviews of online products. Journal of Retailing and Consumer Services, 64, 102771.
Siddiqui, M. S., Siddiqui, U. A., Khan, M. A., Alkandi, I. G., Saxena, A. K., & Siddiqui, J. H. (2021). Creating Electronic Word of Mouth Credibility through Social Networking Sites and Determining Its Impact on Brand Image and Online Purchase Intentions in India. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 1008–1024.
Tomaszewski, R. (2023). Visibility, impact, and applications of bibliometric software tools through citation analysis. Scientometrics, 1-22.
Tsao, Wen-Chin, and Tz-Chi Mau. “Ethics in Social Media Marketing.” Aslib Journal of Information Management, vol. 71, no. 2, 18 Mar. 2019, pp. 195–216,
Van Nunen, K., Li, J., Reniers, G., & Ponnet, K. (2018). Bibliometric analysis of safety culture research. Safety Science, 108, 248–258.
Verma, D., & Dewani, P. P. (2021). eWOM credibility: a comprehensive framework and literature review. Online Information Review, 45(3), 481-500.
Verma, S., & Yadav, N. (2021). Past, present, and future of electronic word of mouth (EWOM). Journal of Interactive Marketing, 53, 111-128.
Vermeer, S. A. M., Araujo, T., Bernritter, S. F., & van Noort, G. (2019). Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic Word-of-Mouth in social media. International Journal of Research in Marketing, 36(3), 492–508.
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635.
Wang, Y., Meng, X., Xu, C., & Zhao, M. (2022). Research on electronic word-of-mouth for product and service quality improvement: bibliometric analysis and future directions. International Journal of Intelligent Computing and Cybernetics, 16(1), 68-98.
Whittaker, J. (1989). Creativity and Conformity in Science: Titles, Keywords and Co-word Analysis. Social Studies of Science, 19(3), 473–496.
Xiao, L., Luo, L., & Ke, T. (2022). The influence of eWOM information structures on consumers’ purchase intentions. Electronic Commerce Research, 1-23.
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2025-01-16
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Herzallah, D. A. (2025). La influencia del boca a boca electrónico en la investigación empresarial: identificación de temas y actores principales. Journal of Business, Universidad Del Pacífico (Lima, Peru), 16(1). https://doi.org/10.21678/jb.2025.2452
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