A Study of the Relationship Between Online Movie Reviews and the Intention to Watch the Movie

• Autorzy: Hwai-Shuh Shieh , Szu-Yu Lin
• Języki publikacji: EN

Abstrakty

EN

Aim/purpose - This study explores how the content feature and source of eWOM affect people's intentions and further analyses the effectiveness of eWOM on people's intention to watch movies. Design/methodology/approach - The study considers two dimensions of movie reviews, including the source (anonymous or acquaintance) and the content feature (concrete or abstract), adopts a 2x2 between-subject design, and then analyzes online questionnaires (N = 313) via statistics analysis methods. Findings - The findings showed that if the source is from an acquaintance and the content feature is concrete, then people will have the highest intention to watch the movie. In addition, the acting skills of the cast and the love of the movie genre also enhance the positive influence on the viewer's experience. Research implications/limitations - The respondents were selected only in Taiwan so this paper do not explain any differences among different countries. For example, cultural differences exist between the West and the East in the content feature of eWOM. Originality/value/contribution - If a type of genre is greatly accepted by the audience and generates huge box-office revenue, then producers and movie companies might keep making movies in these kinds of genre to secure profits. Therefore, box-office movies will usually fall into these certain types of genres, and there will be an abundance of them released in the near future.(original abstract)

Słowa kluczowe

EN

Film industry; Information; Economics

PL

Przemysł filmowy; Informacja; Ekonomia

• Czasopismo: Journal of Economics & Management / University of Economics in Katowice
• Rocznik: 2022
• Numer: nr 44
• Strony: 344--375

Twórcy

autor

Hwai-Shuh Shieh

• Kainan University, Taoyuan, Taiwan

autor

Szu-Yu Lin

• National Yang Ming Chiao Tung University Taipei City, Taiwan

Bibliografia

• Ajzen, I. (1991). The theory of planned behaviour. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
• Akehurst, G. (2008). What do we really know about services? Service Business, 2(1), 1-15. https://doi.org/10.1007/s11628-006-0015-6
• Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Infor-matics, 34(7), 1177-1190. https://doi.org/10.1016/j.tele.2017.05.008
• Anderson, E. W. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5-17. https://doi.org/10.1177/109467059800100102
• Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79-95. https://doi. org/10.1007/s11747-019-00695-1
• Arif, A. R., Jamal, Y., Arshad, F., & Tariq, M. B. (2016). Factors predicting the generation of positive word of mouth communication: An analysis. Pakistan Journal of Social Sciences (PJSS), 36(1), 239-248. http://pjss.bzu.edu.pk/index.php/pjss/article/ view/411
• 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
• Bae, J., & Kim, B. D. (2013). Is the electronic word of mouth effect always positive on the movie. Academy of Marketing Studies Journal, 17(1), 61-78. https://www. proquest.com/docview/1368975992?pq-origsite=gscholar&fromopenview=true
• Bampo, M., Ewing, M. T., Mather, D. R., Stewart, D., & Wallace, M. (2008). The effects of the social structure of digital networks on viral marketing performance. Information Systems Research, 19(3), 273-290. https://doi.org/10.1287/isre.1070.0152
• Banerjee, A. V. (1992). A simple model of herd behavior. Quarterly Journal of Economics, 107(3), 797-817. https://doi.org/10.2307/2118364
• Bansal, H. S., & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of Service Research, 3(2), 166-177. https://doi.org/ 10.1177/109467050032005
• 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
• Bayus, B. L. (1985). Word of mouth-the indirect effects of marketing efforts. Journal of Advertising Research, 25(3), 31-39.
• Bhatnagar, A., & Ghose, S. (2004). Online information search termination patterns across product categories and consumer demographics. Journal of Retailing, 80(3), 221-228. https://doi.org/10.1016/j.jretai.2003.10.001
• Bhattacherjee, A. (2000). Acceptance of e-commerce services: The case of electronic brokerages. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 30(4), 411-420. https://doi.org/10.1109/3468.852435
• Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40. https://doi.org/10. 1002/dir.1014
• Bilgen, I., & Zoghi, F. S. (2017). A research on the impact of eWOM source credibility and personal innovativeness on online shopping intention in Turkish customers. Journal of Management Marketing and Logistics, 4(2), 143-151. https://doi.org/ 10.17261/Pressacademia.2017.458
• Boush, D. M., & Kahle, L. (2001). Evaluating negative information in online consumer discussions: From qualitative analysis to signal detection. Journal of Euromarketing, 11(2), 89-105. https://doi.org/10.1300/J037v11n02_05
• Bristor, J. M. (1990). Enhanced explanations of word of mouth communications: The power of relationships. Research in Consumer Behaviour, 4(1), 51-83.
• Bronner, F., & de Hoog, R. (2011). Vacationers and eWOM: Who posts, and why, where, and what? Journal of Travel Research, 50(1), 15-26. https://doi.org/10.1177/ 0047287509355324
• Chatterjee, P. (2001). Online reviews: Do consumers use them? In M. C. Gilly & J. Myers-Levy (Eds.), ACR 2001 Proceedings (pp. 129-134). Association for Consumer Research. https://ssrn.com/abstract=900158
• Chen, C.-H., Nguyen, B., Klaus, P., & Wu, M.-S. (2015). Exploring electronic word-of-mouth (eWOM) in the consumer purchase decision-making process: The case of online holidays - evidence from United Kingdom (UK) consumers. Journal of Travel & Tourism Marketing, 32(8), 953-970. https://doi.org/10.1080/10548408. 2014.956165
• 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. https:// doi.org/10.1287/mnsc. 1070.0810
• Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247. https://doi.org/10.1108/10662240810883290
• Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38. https://doi. org/10.2753/JEC1086-4415130402
• 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. https://doi.org/ 10.1509/jmkr.43.3.345
• Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944-957. https://doi.org/ 10.1287/mksc.1100.0572
• 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. https://doi.org/10.2501/IJA-30-1-047-075
• Currell, S. (2010). The march of spare time: The problem and promise of leisure in the Great Depression. University of Pennsylvania Press.
• Dellarocas, C., Zhang, X., & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 23-45. https://doi.org/10.1002/dir.20087
• Derbaix, C., & Vanhamme, J. (2003). Inducing word-of-mouth by eliciting surprise - a pilot investigation. Journal of Economic Psychology, 24(1), 99-116. https://doi. org/10.1016/S0167-4870(02)00157-5
• Dholakia, R. R., & Sternthal, B. (1977). Highly credible sources: Persuasive facilitators or persuasive liabilities? Journal of Consumer Research, 3(4), 223-232. https://doi. org/10.1086/208671
• Dichter, E. (1966). How word-of-mouth advertising works. Harvard Business Review, 44(6), 147-160. https://doi.org/10.2307/1248475
• Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of Marketing Research, 28(3), 307-319. https://doi.org/10.1177/002224379102800305
• Dogruel, L., & Hao, X. (2016). Movie selection and E-WOM preference: A cross-cultural perspective. International Journal of Communication, 10(21), 2934-2954. https://ijoc.org/index.php/ijoc/article/view/5221/1687
• Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of Consumer Research, 21(1), 119-134. https://doi.org/ 10.1086/209386
• Duan, W., Gu, B., & Whinston, A. B. (2008a). Do online reviews matter? - An empirical investigation of panel data. Decision support systems, 45(4), 1007-1016. https://doi.org/10.1016/j.dss.2008.04.001
• Duan, W., Gu, B., & Whinston, A. B. (2008b). The dynamics of online word-of-mouth and product sales - an empirical investigation of the movie industry. Journal of Retailing, 84(2), 233-242. https://doi.org/10.1016/j.jretai.2008.04.005
• Duhan, D. F., Johnson, S. D., Wilcox, J. B., & Harrell, G. D. (1997). Influences on consumer use of word-of-mouth recommendation sources. Journal of the Academy of Marketing Science, 25(4), 283-295. https://doi.org/10.1177/0092070397254001
• Elberse, A., & Eliashberg, J. (2003). Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Science, 22(3), 329-354. https://doi.org/10.1287/mksc.22.3.329.17740
• Eliashberg, J., Jonker, J.-J., Sawhney, M. S., & Wierenga, B. (2000). MOVIEMOD: An implementable decision-support system for prerelease market evaluation of motion pictures. Marketing Science, 19(3), 226-243. https://doi.org/10.1287/mksc. 19.3.226.11796
• Eliashberg, J., & Shugan, S. M. (1997). Film critics: Influencers or predictors? Journal of Marketing, 61(2), 68-78. https://doi.org/10.1177/002224299706100205
• Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1993). Consumer behaviour (8th ed.). Dryden Press.
• Faber, R. J., & O'Guinn, T. C. (1984). Effect of media advertising and other sources on movie selection. Journalism Quarterly, 61(2), 371-377. https://doi.org/10.1177/ 107769908406100219
• Flanagin, A. J., & Metzger, M. J. (2003). The perceived credibility of personal Web page information as influenced by the sex of the source. Computers in Human Behaviour, 19(6), 683-701. https://doi.org/10.1016/S0747-5632(03)00021-9
• Flanagin, A. J., & Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media & Society, 9(2), 319-342. https://doi.org/10.1177/146144480 7075015
• Frenzen, J., & Nakamoto, K. (1993). Structure, cooperation, and the flow of market information. Journal of Consumer Research, 20(3), 360-375. https://doi.org/10.1086/209355
• Ganesan, S., & Hess, R. (1997). Dimensions and levels of trust: Implications for commitment to a relationship. Marketing Letters, 8(4), 439-448. https://doi.org/10.1023/
• García-de los Salmones, M. del M., Herrero, A., & Martinez, P. (2021). Determinants of electronic word-of-mouth on social networking sites about negative news on CSR. Journal of Business Ethics, 171(3), 583-597. https://doi.org/10.1007/s10551-020- 04466-9
• Garg, M., & Dhiman, G. (2021). A novel content-based image retrieval approach for classification using GLCM features and texture fused LBP variants. Neural Computing and Applications, 33, 1311-1328. https://doi.org/10.1007/s00521-020-05017-z
• Gelb, B. D., & Sundaram, S. (2002). Adapting to "word of mouse". Business Horizons, 45(4), 21-25. https://doi.org/10.1016/S0007-6813(02)00222-7
• Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545-560. https://doi.org/10.1287/mksc. 1040.0071
• Godes, D., Mayzlin, D., Chen, Y., Das, S., Dellarocas, C., Pfeiffer, B., Libai, B., Sen, S., Shi, M., & Verlegh, P. (2005). The firm's management of social interactions. Marketing Letters, 16(3), 415-428. https://doi.org/10.1007/s11002-005-5902-4
• Goyette, I., Ricard, L., Bergeron, J., & Marticotte, F. (2010). e-WOM Scale: Word-of- mouth measurement scale for e-services context. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de l'Administration, 27(1), 5-23. https://doi.org/10.1002/cjas.129
• Gruen, T. W., Osmonbekov, T., & Czaplewski, A. J. (2006). eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty. Journal of Business Research, 59(4), 449-456. https://doi.org/10.1016/j.jbusres. 2005.10.004
• Gvili, Y., & Levy, S. (2018). Consumer engagement with eWOM on social media: The role of social capital. Online Information Review, 42(4), 482-505. https://doi.org/ 10.1108/OIR-05-2017-0158
• Harrison-Walker, L. J. (2001). The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research, 4(1), 60-75. https://doi.org/10.1177/1094670 50141006
• 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. https://doi.org/10.1002/dir.10073
• Hoffman, D. L., Kalsbeek, W. D., & Novak, T. P. (1996). Internet and Web use in the US. Communications of the ACM, 39(12), 36-46. https://doi.org/10.1145/240483. 240490
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68. https:// doi.org/10.1177/002224299606000304
• Holbrook, M. B. (1999). Consumer value: A framework for analysis and research. Psychology Press.
• Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion. Yale University Press.
• Hsiao, C.-H., & Yang, C.-C. (2015). Exploring the effect of experiential marketing on movie-watching intention - the example of mobile movie theme games. In 2015 48th Hawaii International Conference on System Sciences (pp. 1179-1186). IEEE. https://doi.org/10.1109/HICSS.2015.143
• Huang, P., & Li, M. (2013). Analysing mobile instant messaging user satisfaction and loyalty: An integrated perspective (Papers: Part A. 2313). Faculty of Engineering and Information Sciences, University of Wollongong.
• 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. https://doi.org/10.3389/fpsyg.2017.01256
• 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
• Hussain, S., Guangju, W., Jafar, R. M. S., Ilyas, Z., Mustafa, G., & Jianzhou, Y. (2018). Consumers' online information adoption behavior: Motives and antecedents of electronic word of mouth communications. Computers in Human Behavior, 80, 22-32. https://doi.org/10.1016/j.chb.2017.09.019
• Hussain, S., Song, X., & Niu, B. (2020). Consumers' motivational involvement in eWOM for information adoption: The mediating role of organizational motives. Frontiers in Psychology, 10, 3055. https://doi.org/10.3389/fpsyg.2019.03055
• Jalilvand, M. R., Esfahani, S. S., & Samiei, N. (2011). Electronic word-of-mouth: Challenges and opportunities. Procedia Computer Science, 3, 42-46. https://doi.org/ 10.1016/j.procs.2010.12.008
• Jalilvand, M. R., & Samiei, N. (2012a). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4), 460-476. https://doi.org/10.1108/026345 01211231946
• Jalilvand, M. R., & Samiei, N. (2012b). The impact of electronic word of mouth on a tourism destination choice: Testing the theory of planned behaviour (TPB). Internet Research: Electronic Networking Applications and Policy, 22(5), 591-612. https://doi.org/10.1108/10662241211271563
• Johnson Brown, J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behaviour. Journal of Consumer Research, 14(3), 350-362. https://doi.org/10.1086/ 209118
• Kamins, M. A. (1990). An investigation into the "match-up" hypothesis in celebrity advertising: When beauty may be only skin deep. Journal of Advertising, 19(1), 4-13. https://doi.org/10.1080/00913367.1990.10673175
• Kao, L. H., Shen D. B., & Zheng, H. R. (2013). Exploratory study for determinants of motion picture box office performance in Taiwan. Soochow Journal of Economics and Business, 82, 59-92.
• 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), 478-490. https://doi.org/10.3390/ info11100478
• Khwaja, M. G., & Zaman, U. (2020). Configuring the evolving role of eWOM on the consumers information adoption. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 125-138. https://doi.org/10.3390/joitmc6040125
• Kiecker, P., & Cowles, D. (2002). Interpersonal communication and personal influence on the internet: A framework for examining online word-of-mouth. Journal of Euromarketing, 11(2), 71-88. https://doi.org/10.1300/J037v11n02_04
• Kim, R. B., & Sieun, L. (2019). The effect of localization and production image on Chinese and Korean consumers' choice for animation movies. Asia-Pacific Social Science Review, 19(2), 63-79.
• 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
• Kotler, P., & Zaltman, G. (1971). Social marketing: An approach to planned social change. Journal of Marketing, 35(3), 3-12. https://doi.org/10.1177/002224297103 500302
• Li, M., Huang, L., Tan, C. H., & Wei, K. K. (2013). Helpfulness of online product reviews as seen by consumers: Source and content features. International Journal of Electronic Commerce, 17(4), 101-136. https://doi.org/10.2753/JEC1086-4415170404
• Li, Q., Tang, Y., Xu, W., & Wang, M. (2021). Variance does matter in affecting the box office: a multi-aspect investigation. Electronic Commerce Research. https://doi.org/ 10.1007/s10660-021-09486-9
• Li, X., Hitt, L. M., & Zhang, Z. J. (2011). Product reviews and competition in markets for repeat purchase products. Journal of Management Information Systems, 27(4), 9-42. https://doi.org/10.2753/MIS0742-1222270401
• Lin, C.-H., Chen, R.-T., & Chan, Y.-K. (2009). A smart content-based image retrieval system based on color and texture feature. Image and Vision Computing, 27(6), 658-665. https://doi.org/10.1016/j.imavis.2008.07.004
• Litman, B. R. (1983). Predicting success of theatrical movies: An empirical study. Journal of Popular Culture, 16(4), 159-175.
• Litman, B. R., & Kohl, L. S. (1989). Predicting financial success of motion pictures : The '80s experience. Journal of Media Economics, 2(2), 35-50. https://doi.org/ 10.1080/08997768909358184
• Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word-of-mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. https://doi.org/ 10.1016/j.tourman.2007.05.011
• Liu, Y. (2006). Word of mouth for movies: Dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89. https://doi.org/10.1509/jmkg.70.3.074
• López, M., & Sicilia, M. (2014). eWOM as source of influence: The impact of participation in eWOM and perceived source trustworthiness on decision making. Journal of Interactive Advertising, 14(2), 86-97. https://doi.org/10.1080/15252019.2014. 944288
• Lou, C., & Yuan, S. (2019). Influencer marketing: How message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58-73. https://doi.org/10.1080/15252019.2018.1533501
• Mahajan, V., Muller, E., & Kerin, R. A. (1984). Introduction strategy for new products with positive and negative word-of-mouth. Management Science, 30(12), 13891404. https://doi.org/10.1287/mnsc.30.12.1389
• Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357-365. https://doi.org/10.1016/ j.bushor.2009.03.002
• Maxham III, J. G., & Netemeyer, R. G. (2002a). A longitudinal study of complaining customers' evaluations of multiple service failures and recovery efforts. Journal of Marketing, 66(4), 57-71. https://doi.org/10.1509/jmkg.66.4.57.18512
• Maxham III, J. G., & Netemeyer, R. G. (2002b). Modeling customer perceptions of complaint handling over time: The effects of perceived justice on satisfaction and intent. Journal of Retailing, 78(4), 239-252. https://doi.org/10.1016/S0022-4359 (02)00100-8
• McCroskey, J. C., & Teven, J. J. (1999). Goodwill: A reexamination of the construct and its measurement. Communications Monographs, 66(1), 90-103. https://doi.org/10.1080/ 03637759909376464
• McKee, R. (1997). Story: Substance, structure, style, and the principles of screenwriting. HarperCollins.
• McWilliam, G. (2000). Building stronger brands through online communities. MIT Sloan Management Review, 41(3). https://sloanreview.mit.edu/article/building-stronger- brands-through-online-communities/
• Meilatinova, N. (2021). Social commerce: Factors affecting customer repurchase and word-of-mouth intentions. International Journal of Information Management, 57, 102300. https://doi.org/10.1016/j.ijinfomgt.2020.102300
• Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of Pragmatics, 59(Part B), 210-220. https://doi.org/10.1016/j.pragma.2013.07.012
• Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D. R., & McCann, R. M. (2003a). Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. Annals of the International Communication Association, 27(1), 293-335. https://doi.org/10.1080/23808 985.2003.11679029
• Metzger, M. J., Flanagin, A. J., & Zwarun, L. (2003b). College student Web use, perceptions of information credibility, and verification behaviour. Computers & Education, 41(3), 271-290. https://doi.org/10.1016/S0360-1315(03)00049-6
• Mizerski, R. W. (1982a). An attribution explanation of the disproportionate influence of unfavorable information. Journal of Consumer Research, 9(3), 301-310. https://doi. org/10.1086/208925
• Mizerski, R. W. (1982b). Viewer miscomprehension findings are measurement bound. Journal of Marketing, 46(4), 32-34. https://doi.org/10.1177/002224298204600404
• Muda, M., & Hamzah, M. I. (2021). Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention. Journal of Research in Interactive Marketing, 15(3), 441-459. https://doi.org/10.1108/JRIM-04-2020-0072.
• 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. https://doi.org/10.2307/20721420
• Murray, K. B. (1991). A test of services marketing theory: Consumer information acquisition activities. Journal of Marketing, 55(1), 10-25. https://doi.org/10.1177/00222 4299105500102
• Neti, S. (2011). Social media and its role in marketing. International Journal of Enterprise Computing and Business Systems, 1(2), 1-15.
• Park, C., Wang, Y., Yao, Y., & Kang, Y. R. (2011). Factors influencing eWOM effects: Using experience, credibility, and susceptibility. International Journal of Social Science and Humanity, 1(1), 74-79. https://doi.org/10.7763/IJSSH.2011.V1.13
• Perera, C. H., Nayak, R., & Long, N. V. T. (2019). The impact of electronic-word-of mouth on e-loyalty and consumers' e-purchase decision making process: A social media perspective. International Journal of Trade, Economics and Finance, 10(4), 86-91. https://doi.org/10.18178/ijtef.2019.10.4.642
• Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of applied social psychology, 34(2), 243-281. https://doi.org/10.1111/j.1559-1816.2004.tb02547.x
• Prag, J., & Casavant, J. (1994). An empirical study of the determinants of revenues and marketing expenditures in the motion picture industry. Journal of Cultural Economics, 18(3), 217-235. https://doi.org/10.1007/BF01080227
• Rasheed, Z., & Shah, M. (2002). Movie genre classification by exploiting audio-visual features of previews. In Object recognition supported by user interaction for service robots (Vol. 2, pp. 1086-1089). IEEE. https://doi.org/10.1109/ICPR.2002. 1048494
• Ravid, S. A. (1999). Information, blockbusters, and stars: A study of the film industry. Journal of Business, 72(4), 463-492. https://doi.org/10.1086/209624
• Reichelt, J., Sievert, J., & Jacob, F. (2014). How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions. Journal of Marketing Communications, 20(1-2), 65-81. https://doi.org/ 10.1080/13527266.2013.797758
• Rewtrakunphaiboon, W. (2017). An exploratory research on perceived destination attractiveness from viewing Korean film of Thai private university students: A case study of Bangkok University. BU Academic Review, 16(1), 115-128. https:// so01.tci-thaijo.org/index.php/buacademicreview/article/view/91178/71615
• Rui, H., Liu, Y., & Whinston, A. (2013). Whose and what chatter matters? The effect of tweets on movie sales. Decision Support Systems, 55(4), 863-870. https://doi.org/ 10.1016/j.dss.2012.12.022
• Saputra, W., & Wiyono, A. S. (2021). The elements of the movie "Kalam-Kalam Langit" and its effect on visit intention of halal tourism destination: The mediation of affective image and cognitive image. Journal of Management and Islamic Finance, 1(1), 14-31. https://doi.org/10.22515/jmif.v1i1.3575
• Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing, 21(4), 76-94. https://doi.org/10.1002/dir.20090
• Shaikh, B., Kahloon, A., Kazmi, M., Khalid, H., Nawaz, K., Khan, N., & Khan, S. (2004). Students, stress and coping strategies: A case of Pakistani medical school. Education for Health: Change in Learning & Practice, 17(3), 346-353. https:// pubmed.ncbi.nlm.nih.gov/15848822/
• Sharda, R., & Delen, D. (2006). Predicting box-office success of motion pictures with neural networks. Expert Systems with Applications, 30(2), 243-254. https://doi.org/ 10.1016/j.eswa.2005.07.018
• Sharma, A., Jindal, M., Mittal, A., & Vishwakarma, D. K. (2021). A unified audio analysis framework for movie genre classification using movie Trailers. In 2021 International Conference on Emerging Smart Computing and Informatics (pp. 510-515). https://doi.org/10.1109/ESCI50559.2021.9396892
• Shaw, S. M., & Dawson, D. (2001). Purposive leisure: Examining parental discourses on family activities. Leisure Sciences, 23(4), 217-231. https://doi.org/10.1080/01490 400152809098
• Simôes, G. S., Wehrmann, J., Barros, R. C., & Ruiz, D. D. (2016). Movie genre classification with convolutional neural networks. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 259-266). IEEE. https://doi.org/10.1109/IJCNN. 2016.7727207
• Smith, R. E., & Vogt, C. A. (1995). The effects of integrating advertising and negative word-of-mouth communications on message processing and response. Journal of Consumer Psychology, 4(2), 133-151. https://doi.org/10.1207/s15327663jcp0402_03
• Sochay, S. (1994). Predicting the performance of motion pictures. Journal of Media Economics, 7(4), 1-20. https://doi.org/10.1207/s15327736me0704_1
• Sotiriadis, M. D., & van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists. Electronic Commerce Research, 13(1), 103-124. https://doi.org/10.1007/s10660-013-9108-1
• Southwell, B. G., & Yzer, M. C. (2007). The roles of interpersonal communication in mass media campaigns. Annals of the International Communication Association, 31(1), 420-462. https://doi.org/10.1080/23808985.2007.11679072
• Subramani, M. R., & Rajagopalan, B. (2003). Knowledge-sharing and influence in online social networks via viral marketing. Communications of the ACM, 46(12), 300-307. https://doi.org/10.1145/953460.953514
• Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications: A motivational analysis. In J. W. Alba & J. W. Hutchinson (Eds.), NA - Advances in Consumer Research (Vol. 25, pp. 527-531). Association for Consumer Research. https://www.acrwebsite.org/volumes/8208
• Taylor, D. G., Strutton, D., & Thompson, K. (2012). Self-enhancement as a motivation for sharing online advertising. Journal of Interactive Advertising, 12(2), 13-28. https://doi.org/10.1080/15252019.2012.10722193
• Tefertiller, A. C., Maxwell, L. C., & Morris, D. L. (2020). Social media goes to the movies: Fear of missing out, social capital, and social motivations of cinema attendance. Mass Communication and Society, 23(3), 378-399. https://doi.org/10.1080/ 15205436.2019.1653468
• Teso, E., Olmedilla, M., Martinez-Torres, M. R., & Toral, S. L. (2018). Application of text mining techniques to the analysis of discourse in eWOM communications from a gender perspective. Technological Forecasting and Social Change, 129, 131-142. https://doi.org/10.1016/j.techfore.2017.12.018
• Ulker-Demirel, E., Akyol, A., Simsek, G. G. (2018). Marketing and consumption of art products: the movie industry. Arts and the Market, 8(1), 80-98. https://doi.org/ 10.1108/AAM-06-2017-0011
• de Vany, A., & Walls, W. D. (1999). Uncertainty in the movie industry: Does star power reduce the terror of the box office? Journal of Cultural Economics, 23(4), 285-318. https://doi.org/10.1023/A:1007608125988
• Vishwakarma, D. K., Jindal, M., Mittal, A., & Sharma, A. (2021). Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers. arXiv:2109.06488 (preprint). https://doi.org/10.48550/arXiv.2109. 06488
• Wang, Y., & Kim, J. (2021). Interconnectedness between online review valence, brand, and restaurant performance. Journal of Hospitality and Tourism Management, 48, 138-145. https://doi.org/10.1016Zj.jhtm.2021.05.016
• Wibowo, A., Chen, S.-C., Wiangin, U., Ma, Y., & Ruangkanjanases, A. (2021). Customer behavior as an outcome of social media marketing: The role of social media marketing activity and customer experience. Sustainability, 13(1), 189. https://doi. orgZ10.3390/su13010189
• Williams, N. L., Inversini, A., Ferdinand, N., & Buhalis, D. (2017). Destination eWOM: A macro and meso network approach? Annals of Tourism Tesearch, 64, 87-101. https://doi.org/10.1016/j.annals.2017.02.007
• Wirtz, J., & Chew, P. (2002). The effects of incentives, deal proneness, satisfaction and tie strength on word-of-mouth behaviour. International Journal of Service Industry Management, 13(2), 141-162. https://doi.org/10.1108/09564230210425340
• Wu, P. C. S., & Wang, Y.-C. (2011). The influences of electronic word-of-mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23(4), 448-472. https://doi.orgZ10.1108/135558511111 65020
• Xiang, Z., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179-188. https://doi.org/10.1016/j.tourman. 2009.02.016
• Yang, J., Kim, W., Amblee, N., & Jeong, J. (2012). The heterogeneous effect of WOM on product sales: Why the effect of WOM valence is mixed? European Journal of Marketing, 46(11/12), 1523-1538. https://doi.orgZ10.1108/03090561211259961
• 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 Behaviour, 31, 250-258. https://doi.org/10.1016/ j.chb.2013.10.034
• Zamil, A. M. (2011). The impact of word of mouth (WOM) on the purchasing decision of the Jordanian consumer. Research Journal of International Studies, 20, 24-29. https://www.academia.edu/3483349/The_Impact_of_Word_of_Mouth_WOM_on_t he_Purchasing_Decision_of_the_Jordanian_Consumer
• Zhang, X., & Dellarocas, C. (2006). The lord of the ratings: Is a movie's fate is influenced by reviews? In Proceedings of the International Conference on Information Systems, ICIS 2006, Milwaukee, Wisconsin, USA, December 10-13, 2006, 117. https://aisel.aisnet.org/ icis2006/117
• Zhao, Y., Wang, L., Tang, H., & Zhang, Y. (2020). Electronic word-of-mouth and consumer purchase intentions in social e-commerce. Electronic Commerce Research and Applications, 41, 100980. https://doi.org/10.1016/j.elerap.2020.100980
• Zhou, H., Hermans, T., Karandikar, A. V., & Rehg, J. M. (2010). Movie genre classification via scene categorization. In Proceedings of the 18th ACM International Conference on Multimedia (pp. 747-750). https://doi.org/10.1145/1873951.1874068
• Zimmermann, S., & Reeves, T. (2009). Film tourism - locations are the new stars. In Trends and issues in global tourism 2009 (pp. 155-162). Springer. https://doi.org/ 10.1007/978-3-540-92199-8_10

Identyfikatory

DOI

10.22367/jem.2022.44.14