Abstract
In the digital era, Electronic Word-of-Mouth (eWOM) — the online sharing of opinions and information about movies — has become a crucial factor influencing box office performance. Social media posts, reviews, and ratings shape audience perceptions and impact their choices. This study aims to comprehensively analyze the influence of eWOM on movie box office revenue, identifying key research areas, seminal works, and influential authors in this field, along with highlighting research trends through keyword analysis. The results reveal that the research field is divided into three stages: initial, exploratory, and empirical, with recent emphasis on factors such as the quantity, quality, and credibility of eWOM, significantly affecting consumer behavior. The study also identifies key eWOM research trends, including movie marketing, relevance analysis, and sentiment analysis of reviews. Target audiences include film industry professionals and academic researchers interested in understanding the role of eWOM in enhancing box office performance.
References
Aghakhani, N., Oh, O., Gregg, D. G., & Karimi, J. (2021). Online Review Consistency Matters: An Elaboration Likelihood Model Perspective. Information Systems Frontiers, 23(5), 1287–1301. https://doi.org/10.1007/s10796-020-10030-7
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. https://doi.org/10.1509/jmr.14.0380
Baek, H., Oh, S., Yang, H.-D., & Ahn, J. (2017). Electronic word-of-mouth, box office revenue and social media. Electronic Commerce Research and Applications, 22, 13–23. https://doi.org/10.1016/j.elerap.2017.02.001
Bao, T., & Chang, T. S. (2014). Finding disseminators via electronic word of mouth message for effective marketing communications. Decision Support Systems, 67, 21–29. https://doi.org/10.1016/j.dss.2014.07.006
Basuroy, S., Chatterjee, S., & Ravid, S. A. (2003). How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets. Journal of Marketing, 67(4), 103–117. https://doi.org/10.1509/jmkg.67.4.103.18692
Chakravarty, A., Liu, Y., & Mazumdar, T. (2010). The Differential Effects of Online Word-of-Mouth and Critics’ Reviews on Pre-release Movie Evaluation. Journal of Interactive Marketing, 24(3), 185‑197. https://doi.org/10.1016/j.intmar.2010.04.001
Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377. https://doi.org/10.1002/asi.20317
Chen, C. (2016). CiteSpace: A practical guide for mapping scientific literature. Nova Science Publishers, Inc.
Chiu, Y.-L., Du, J., Sun, Y., & Wang, J.-N. (2022). Do Critical Reviews Affect Box Office Revenues Through Community Engagement and User Reviews? Frontiers in Psychology, 13, 900360. https://doi.org/10.3389/fpsyg.2022.900360
Daowd, A., Hasan, R., Eldabi, T., Rafi-ul-Shan, P. M., Cao, D., & Kasemsarn, N. (2021). Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: A case from Thailand. Journal of Enterprise Information Management, 34(3), 838–859. https://doi.org/10.1108/JEIM-04-2019-0118
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
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
Fan, L., Zhang, X., & Rai, L. (2021). When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory. Journal of Retailing and Consumer Services, 62, 102591. https://doi.org/10.1016/j.jretconser.2021.102591
Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(8), 956–970. https://doi.org/10.1016/j.im.2018.04.010
Gunter, B. (2018). What Is the Role of Critics’ Reviews? In B. Gunter, Predicting Movie Success at the Box Office (pp. 209–225). Springer International Publishing. https://doi.org/10.1007/978-3-319-71803-3_13
Hsu, T.-F., & Yang, C.-M. (2021). Effects of message framing and consumers’ regulatory focus on perceived credibility of electronic word-of-mouth and purchase intention. Social Behavior and Personality: An International Journal, 49(11), 1–14. https://doi.org/10.2224/sbp.10274
Huang, G., & Liang, H. (2021). Uncovering the effects of textual features on trustworthiness of online consumer reviews: A computational-experimental approach. Journal of Business Research, 126, 1–11. https://doi.org/10.1016/j.jbusres.2020.12.052
Huang, J., Boh, W. F., & Goh, K. H. (2017). A Temporal Study of the Effects of Online Opinions: Information Sources Matter. Journal of Management Information Systems, 34(4), 1169–1202. https://doi.org/10.1080/07421222.2017.1394079
Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer’s information adoption. Computers in Human Behavior, 66, 96–102. https://doi.org/10.1016/j.chb.2016.09.034
Kim, K. K., & Yoon, S. (2016). The Dynamics of eWOM and Business Outcomes: An Empirical Investigation of the Impact of Social Media on Box Office Revenue. In K. K. Kim (Ed.), Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing? (pp. 441–441). Springer International Publishing. https://doi.org/10.1007/978-3-319-26647-3_89
Kim, K., Yoon, S., & Choi, Y. K. (2019). The effects of eWOM volume and valence on product sales – an empirical examination of the movie industry. International Journal of Advertising, 38(3), 471–488. https://doi.org/10.1080/02650487.2018.1535225
Kim, S. H., Park, N., & Park, S. H. (2013). Exploring the Effects of Online Word of Mouth and Expert Reviews on Theatrical Movies’ Box Office Success. Journal of Media Economics, 26(2), 98–114. https://doi.org/10.1080/08997764.2013.785551
Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45. https://doi.org/10.1016/j.ijhm.2015.01.010
Lee, J. H., Jung, S. H., & Park, J. (2017). The role of entropy of review text sentiments on online WOM and movie box office sales. Electronic Commerce Research and Applications, 22, 42–52. https://doi.org/10.1016/j.elerap.2017.03.001
Lee, J., Lee, Y., & Park, C. (2022). The effect of consumer group breadth and depth on movie sales: The mediating effect of eWOM-to-viewing ratio. Asia Pacific Journal of Marketing and Logistics, 34(4), 707–738. https://doi.org/10.1108/APJML-08-2020-0560
Lee, S., & Choeh, J. Y. (2018). The interactive impact of online word-of-mouth and review helpfulness on box office revenue. Management Decision, 56(4), 849–866. https://doi.org/10.1108/MD-06-2017-0561
Lee, S., & Choeh, J. Y. (2020). The impact of online review helpfulness and word of mouth communication on box office performance predictions. Humanities and Social Sciences Communications, 7(1), 84. https://doi.org/10.1057/s41599-020-00578-9
Li, Q., Long, R., Chen, H., Chen, F., & Wang, J. (2020). Visualized analysis of global green buildings: Development, barriers and future directions. Journal of Cleaner Production, 245, 118775. https://doi.org/10.1016/j.jclepro.2019.118775
Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140–151. https://doi.org/10.1016/j.tourman.2014.09.020
Marchand, A., Hennig-Thurau, T., & Wiertz, C. (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, 34(2), 336–354. https://doi.org/10.1016/j.ijresmar.2016.09.003
Moon, S., Bergey, P. K., & Iacobucci, D. (2010). Dynamic Effects among Movie Ratings, Movie Revenues, and Viewer Satisfaction. Journal of Marketing, 74(1), 108–121. https://doi.org/10.1509/jmkg.74.1.108
Ramírez-Castillo, N. A., Müller-Pérez, J., Acevedo-Duque, Á., Müller-Pérez, S., González-Díaz, R. R., Suarez Campos, J., & Ovalles-Toledo, L. V. (2021). Sustainable Moviegoer Intention to Attend Cinemas Based on the Theory of Planned Behavior. Sustainability, 13(16), 8724. https://doi.org/10.3390/su13168724
Rao, V. R., Abraham Ravid, S., Gretz, R. T., Chen, J., & Basuroy, S. (2017). The impact of advertising content on movie revenues. Marketing Letters, 28(3), 341–355. https://doi.org/10.1007/s11002-017-9418-5
Sangjae, L., & Joon Yeon, C. (2023). Explanatory and predictive analytics for movie production efficiency by online word-of-mouth. Annals of Mathematics and Physics, 1(1), 008–015. https://doi.org/10.17352/amp.S1.000002
Shi, J., & Li, J. (2019). Comparative analysis of domestic and foreign corporate social responsibility research based on CiteSpace. Journal of Beijing Institute of Technology, 21(1), 65–73. https://doi.org/10.15918/j.jbitss1009-3370.2019.1912
Vujić, S., & Zhang, X. (2018). Does Twitter chatter matter? Online reviews and box office revenues. Applied Economics, 50(34–35), 3702–3717. https://doi.org/10.1080/00036846.2018.1436148
Yeap, J. A. L., Ignatius, J., & Ramayah, T. (2014). Determining consumers’ most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach. Computers in Human Behavior, 31, 250–258. https://doi.org/10.1016/j.chb.2013.10.034
Zemigala, M. (2019). Tendencies in research on sustainable development in management sciences. Journal of Cleaner Production, 218, 796–809. https://doi.org/10.1016/j.jclepro.2019.02.009
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