References
- Ahmed, S., and Sinha, A. (2016). When it pays to wait: Optimizing release timing decisions for secondary channels in the film industry. Journal of Marketing, 80(4), 20-38.
- Akyuz, A. (2013). Determinant factors influencing eWOM, Mediterranean Journal of Social Sciences, 4(11), 159-166.
- Applbaum R. F., and Anatol, K. W. E. (1972). The factor structure of source credibility as a function of the speaking situation. Speech Monographs, 39(3), 216-222.
- Baber, A., Thurasamy, R., Malik, M. I., Sadiq, B., Islam, S., and Sajjad, M. (2016). Online word of-mouth antecedents, attitude and intention to purchase electronic products in pakistan. Telematics and Informatics, 33(2), 388-400.
- Berger, C. R., and Calabrese, R. J. (1974). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99-112.
- Borghol, Y., Ardon, S., Carlsson, N., Eager, D., and Mahanti, A. (2012). The untold story of the clones: Content-agnostic factors that impact YouTube video popularity. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1186-1194.
- Casalo, L., Flavian, C., and Guinaliu, M. (2008). The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process. Computers in Human Behavior, 24(2), 325-345.
- Chakravarty, A., Liu, Y., and Mazumdar, T. (2008). Online user comments versus professional reviews: Differential influences on pre-release movie evaluation. MSI Reports, Working Paper Series, Report No. 08-105, 115-137.
- Chakravarty, A., Liu, Y., and 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.
- Chen, P., Dhanasobhon, S., and Smith, M. D. (2007). An analysis of the differential impact of reviews and reviewers at Amazon.com. In Proceedings of the 27th International Conference on Information Systems (ICIS-2007), Montreal, Canada.
- Cheung, C. M. K., Lee, M. K. O., and Thadani, D. R. (2009). The impact of positive electronic word-of-mouth on consumer online purchasing decision. In Proceedings of the 2nd World Summit on the Knowledge Society: Visioning and Engineering the Knowledge Society, September 16-18, 2009, Crete, Greece.
- Chevalier, J. A., and Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
- Chiou, L. (2008). The timing of movie releases: Evidence from the home video industry. International Journal of Industrial Organization, 26(5), 1059-1073.
- Chung, K., and Hwang, Y. (2012). Differential factors contributing to movie viewing on ppv service of satellite broadcasting and in the movie theater. Broadcasting & Communication, 13(2), 45-90 (In Korean).
- Dellarocas, C., Awad, N., and Zhang, X. (2007). Exploring the value of online reviews to organizations: implications for revenue forecasting and planning. Journal of Interactive Marketing, 21(4), 23-45.
- Duan, W., Gu, B., and Whinston, A. B. (2008a). The dynamics of online word-of-mouth and product sales: An empirical investigation of the movie industry. Journal of Retailing, 84(2), 233-242.
- Duan, W., Gu, B., and Whinston, A. B. (2008b). Do online reviews matter? an empirical investigation of panel data. Decision Support Systems, 45(4), 1007-1016.
- Eliashberg, J., Hui, S. K., and Zhang, Z. J. (2007). From story line to box office: A new approach for green-lighting movie scripts. Management Science, 53(6), 881-893.
- Eliashberg, J., Hui, S. K., and Zhang, Z. J. (2014). Assessing box office performance using movie scripts: A kernel-based approach. IEEE Transactions on Knowledge and Data Engineering, 26(11), 2639-2648.
- Eliashberg, J., and Sawhney, M. S. (1994). Modeling goes to hollywood: Predicting individual differences in movie enjoyment. Management Science, 40(9), 1151-1173.
- Filieri, R., Raguseo, E., and Vitari, C. (2018). When are extreme ratings more helpful? empirical evidence on the moderating effects of review characteristics and product type. Computers in Human Behavior, 88, 134-142.
- Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., and Freling, T. (2014). How online product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2), 217-232.
- FMI (2021), Video on Demand (VOD) Service Market. Retrieved from https://www.futuremarketinsights.com/reports/video-on-demand-market
- Forman, C., Ghose, A., and Wiesenfeld, B. (2008). Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Information Systems Research, 19(3), 291-313.
- Ginsburgh, V., and Weyers, S. (1999). On the perceived quality of movies. Journal of Cultural Economics, 23, 269-283.
- Goldenberg, J., Donald R. L., Daniella S., and Michal M. B. (2006). The role of expert versus social opinion leaders in new product adoption. Marketing Science Institute Report, No. 06-124. MA: Cambridge.
- Gopinath, S., Thomas, J. S., and Krishnamurthi, L. (2014). Investigating the relationship between the content of online word of mouth, advertising, and brand performance. Marketing Science, 33(2), 241-258.
- Gruenwedel, E. (2022, May 9). Report: Rotten tomatoes named best movie rating database. Media Play News. Retrieved from https://www.mediaplaynews.com/report-rotten-tomatoes-named-best-movie-rating-database
- Gu, B., Park, J., & Konana, P. (2012). Research note-the impact of external word-of-mouth sources on retailer sales of high-involvement products. Information Systems Research, 23(1), 182-196.
- Ho-Dac, N. N., Carson, S. J., and Moore, W. L. (2013). The effects of positive and negative online customer reviews: Do brand strength and category maturity matter? Journal of Marketing, 77(6), 37-53.
- Holbrook, M. (1999), Popular appeal versus expert judgements of motion pictures. Journal of Consumer Research, 26(2), 144-155.
- Holbrook, M. (2005), The role of ordinary evaluations in the market for popular culture: Do consumers have 'Good Taste'? Marketing Letters, 16(2), 75-86.
- Hu, N., Liu, L., and Zhang, J. J. (2008). Do online reviews affect product sales? the role of reviewer characteristics and temporal effects. Information Technology and Management, 9(3), 201-214.
- Ismagilova, E., Dwivedi, Y., Slade, E., and Williams, M. (2017). Electronic Word-of-Mouth in the Marketing Context: A State-of-the-Art Analysis and Future Directions. Springer.
- Ismagilova, E., Slade, E. L., Rana, N. P., and Dwivedi, Y. K. (2019). The effect of electronic word of mouth communications on intention to buy: A meta-analysis. Information Systems Frontiers, 22(5), 1203-1226.
- Jeong, H. J., and Koo, D. M. (2015). Combined effects of valence and attributes of e-wom on consumer judgment for message and product: The moderating effect of brand community type. Internet Research, 25(1), 2-29.
- Karray, S., and Debernitz, L. (2017). The effectiveness of movie trailer advertising. International Journal of Advertising, 36(2), 368-392.
- Kim, E., and Kim, S. (2017). Online movie success in sequential markets: Determinants of video-on-demand film success in Korea. Telematics and Informatics, 34(7), 987-995.
- Kim, S. H., Park, N., and 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.
- Kim, K., Yoon, S., and 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.
- Lee, D., Kauffman, R. J., and Bergen, M. E. (2009). Image effects and rational inattention in internet-based selling. International Journal of Electronic Commerce, 13(4), 127-166.
- Lis, B. (2013). In eWOM we trust. A framework of factors that determine the eWOM impact. Business & Information Systems Engineering, 5(3), 129- 140.
- Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
- Moon, S., Bergey, P. K., and Iacobucci, D. (2010). Dynamic effects among movie ratings, movie revenues, and viewer satisfaction. Journal of Marketing, 74(1), 108-121.
- Nam, K., Baker, J., Ahmad, N., and Goo, J. (2020). Dissatisfaction, disconfirmation, and distrust: An empirical examination of value code-destruction through negative electronic word-of-mouth (eWOM). Information Systems Frontiers, 22(1), 1-18.
- Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39-52.
- Oh, E. H., and Chon, B. S. (2008). Determinants of film critics between online users and professional reviewers. Korea Journal of Broadcast, 22(6), 267-289.
- Park, J., Gu, B., and Konana, P. (2009). Impact of Multiple Word of Mouth Sources on Retail Sales. In Proceedings of the 30th International Conference on Information (ICIS-2009), Phoenix, AZ, USA, December 15-18, 2009.
- Park, J., Gu, B., and Lee, H. (2012). The relationship between retailer-hosted and third-party hosted WOM sources and their influence on retailer sales. Electronic Commerce Research and Applications, 11(3), 253-261.
- Ramachandran, N. (2021). Video on demand market: Growth, trends, and forecasts (2020-2025). Webnexs Blog. Retrieved from https://www.webnexs.com/blog/video-demand-marke-growth-trends-forecasts
- Valuates Reports. (2020). Video on demand (VOD) market size is projected to reach USD 88,523.67 million by 2025, September 30, 2020.
- Saleem, A., and Ellahi, A. (2017). Influence of electronic word of mouth on purchase intention of fashion products on social networking websites. Pakistan Journal of Commerce & Social Sciences, 11(2), 597-622.
- Statista (2020). Video-on-demand. Retrieved from https://www.statista.com/outlook/dmo/digital-media/video-on-demand/worldwide
- Statista (2021). Video streaming growth worldwide: Coronavirus impact 2020. Retrieved from https://www.statista.com/statistics/1107559/video-streaming-consumption-growth-worldwide-coronavirus/
- Statista. (2022a, April 22). Netflix's global revenue 2021, by region. Retrieved from https://www.statista.com/statistics/1090098/netflix-global-revenue-by-region/
- Statista. (2022, October 19). Netflix's quarterly revenue 2013-2022. Retrieved from https://www.statista.com/statistics/273883/netflixs-quarterly-revenue/
- Stigler, G. J. (1961). The economics of information. Journal of Political Economy, 69(3), 213-225.
- Sun, T., Song, T., and Huang, J. (2014). Effects of microblogging and third-party word of mouth on product sales: Empirical study based on movie box office revenue. In Proceedings of the 2014 Pacific Asia Conference on Information Systems (PACIS-2014).
- Sussman, S. W., and Siegel, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
- Tang, T., Fang, E., and Wang, F. (2014). Is neutral really neutral? the effects of neutral user generated content on product sales. Journal of Marketing, 78(4), 41-58.
- Ulker-Demirel, E., Akyol, A., and Simsek, G. G. (2018). Marketing and consumption of art products: The movie industry. Arts and the Market, 8(1), 80-98.
- Van den Broeck, W., Pierson, J., and Lievens, B. (2007). Video-on-demand: Towards new viewing practices? Observatorio (OBS*), 1(3), 23-44.
- Wanderer, J. J. (1970). In defense of popular taste: Film ratings among professionals and lay audiences. American Journal of Sociology, 76(2), 262-72.
- Whitehead, J. L. (1968). Factors of source credibility. Quarterly Journal of Speech, 54(1), 59-63.
- Wilkinson, A. (2017). Rotten tomatoes, explained, Vox. Retrieved from https://www.vox.com/culture/2017/8/31/16107948/rotten-tomatoes-score-get-their-ratings-top-critics-certified-fresh-aggregate-mean
- Wu, P. F. (2013). In search of negativity bias: An empirical study of perceived helpfulness of online reviews. Psychology & Marketing, 30(11), 971-984.
- Xiong, G., and Bharadwaj, S. (2014). Prerelease buzz evolution patterns and new product performance. Marketing Science, 33(3), 401-421.
- Zhou, W., and Duan, W. (2016). The sales impact of word-of-mouth distribution across retail and third-party websites. In Proceedings of the 37th International Conference on Information (ICIS-2016), Dublin, Ireland, December 11-14, 2016.