Beyond likes and tweets: Consumer engagement behavior and movie box office in social media

Information and Management

Volumn 54, Issue 1, 2017, Pages 25-37

  Oh, Chong ^a   Roumani, Yaman ^b   Nwankpa, Joseph K ^c   Hu, Han Fen ^d  

^a UNIVERSITY OF UTAH   (United States)

^b EASTERN MICHIGAN UNIVERSITY   (United States)

^c UNIVERSITY OF TEXAS RIO GRANDE VALLEY   (United States)

^d UNIVERSITY OF NEVADA   (United States)

Author keywords

Consumer engagement behavior; Interactive engagement; Movie box office; Personal engagement; Social media; Social media analytics

Indexed keywords

ECONOMIC ANALYSIS; MOTION PICTURES; REGRESSION ANALYSIS; SOCIAL NETWORKING (ONLINE);

BOX OFFICE; CONSUMER ENGAGEMENT BEHAVIOR; INTERACTIVE ENGAGEMENTS; PERSONAL ENGAGEMENT; SOCIAL MEDIA; SOCIAL MEDIA ANALYTICS;

CONSUMER BEHAVIOR;

EID: 85027952147     PISSN: 03787206     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.im.2016.03.004     Document Type: Article

References (78)

1. [1] Abdul-Ghani, E., Hyde, K., Marshall, R., Emic and etic interpretations of engagement with a consumer-to-consumer online auction site. J. Bus. Res. 64:10 (2011), 1060–1066.
2. [2] Acock, A., A Gentle Introduction to Stata. 4th ed., 2014, Stata Press.
3. [3] Alba, J., Hutchinson, J., Dimensions of consumer expertise. J. Consum. Res. 13:4 (1987), 411–454.
4. [4] Alexa, Top 500 Global Sites. 2014, Alexa.com Retrieved from http://www.alexa.com/topsites.
5. [5] Allison, P., Survival Analysis Using SAS: A Practical Guide. 1995, SAS Institute, Cary, NC.
6. [6] BoxOfficeMojo (2015) Retrieved from http://boxofficemojo.com/yearly.
7. [7] Braojos-Gomez, J., Benitez-Amado, J., Llorens-Montes, F., Impact of IT infrastructure on customer service performance: the role of micro-IT capabilities and online customer engagement. Proceedings of the 19th Pacific Asia Conference on Information Systems, Singapore, 2015, 1–16.
8. [8] Braojos-Gomez, J., Benitez-Amado, J., Llorens-Montes, F., How do small firms learn to develop a social media competence?. Int. J. Inf. Manage. 35:4 (2015), 443–458.
9. [9] Brodie, R., Ilic, A., Juric, B., Hollebeek, L., Consumer engagement in a virtual brand community: an exploratory analysis. J. Bus. Res. 66:1 (2013), 105–114.
10. [10] Bruce, M., Solomon, M., Managing for media anarchy: a corporate marketing perspective. J. Mark. Theory Pract. 21:3 (2013), 307–318.
11. [11] S. Butler, TV Christmas adverts battle moves online as shops target social media (2013) Retrieved from http://www.theguardian.com/media/2013/nov/02/christmas-tv-adverts-retailers.
12. [12] Calder, B., Malthouse, E., Schaedel, U., An experimental study of the relationship between online engagement and advertising effectiveness. J. Interact. Mark. 23:4 (2009), 321–331.
13. [13] Cha, M., Kwak, H., Rodriguez, P., Ahn, Y., Moon, S., I tube, You tube, everybody tubes: analyzing the world's largest user generated content video system. Proceedings of the 7th ACM SIGCOMM Conference on Internet Measurement, San Diego, USA, 2007, 1–14.
14. [14] Challagalla, G., Venkatesh, R., Kohli, A., Proactive postsales service: when and why does it pay off?. J. Mark. 73:2 (2009), 70–87.
15. [15] X. Chen, P. Ender, M. Mitchell, C. Wells, Regression with Stata (2003) Retrieved from http://www.ats.ucla.edu/stat/stata/webbooks/reg/default.htm.
16. [16] Cheung, C., Lee, M., Jin, X., Customer engagement in an online social platform: A conceptual model and scale development. Proceedings from the 32nd International Conference on Information Systems, Shanghai, China, 2011, 1–8.
17. [17] Chevalier, J., Mayzlin, D., The effect of word of mouth on sales: online book reviews. J. Mark. Res. 43:3 (2006), 345–354.
18. [18] ComScore, ComScore releases August 2014 U.S. online video rankings Comscore (2014) Retrieved from http://www.comscore.com/Insights/Market-Rankings/comScore-Releases-August-2014-US-Online-Video-Rankings.
19. [19] Culnan, M.J., McHugh, P.J., Zubillaga, J.I., How large US companies can use Twitter and other social media to gain business value. MIS Q. Executive 9:4 (2010), 243–259.
20. [20] Darwell, B., Facebook ‘Talking about this’ defined. SocialTimes, 2012 Retrieved from http://www.adweek.com/socialtimes/people-talking-about-this-defined/273447.
21. [21] Davenport, T., Harris, J., Competing on Analytics: The New Science of Winning. 2007, Harvard Business School Press, Boston.
22. [22] de Valck, K., van Bruggen, G., Wierenga, B., Virtual communities: a marketing perspective. Decis. Support Syst. 47:3 (2009), 185–203.
23. [23] Duan, W., Gu, B., Whinston, A., The dynamics of online word-of-mouth and product sales—an empirical investigation of the movie industry. J. Retail. 84:2 (2008), 233–242.
24. [24] Facebook, (2015) Company Info. Retrieved from http://newsroom.fb.com/company-info/.
25. [25] Facebook, The value of a liker (2010) Retrieved from https://www.facebook.com/notes/facebook-media/value-of-a-liker/150630338305797.
26. [26] Fan, W., Gordon, M., The power of social media analytics. Commun. ACM 57:6 (2014), 74–81.
27. [27] Gambetti, R., Graffigna, G., Biraghi, S., The grounded theory approach to consumer-brand engagement: the practitioner's standpoint. Int. J. Mark. Res. 54:5 (2012), 659–687.
28. [28] Gillin, P., Secrets of social media marketing. How to Use Online Conversations and Customer Communities to Turbo-charge Your Business, 2009, Quill Driver Books, Fresno.
29. [29] Goh, K., Heng, C., Lin, Z., Social media brand community and consumer behavior: quantifying the relative impact of user-and marketer-generated content. Inf. Syst. Res. 24:1 (2012), 88–107.
30. [30] Hanna, R., Rohm, A., Crittenden, V., We're all connected: the power of the social media ecosystem. Bus. Horiz. 54:3 (2011), 265–273.
31. [31] He, W., Wu, H., Yan, G., Akula, V., Shen, J., A novel social media competitive analytics framework with sentiment benchmarks. Inf. Manage. 52:7 (2015), 801–812.
32. [32] Heinonen, K., Consumer activity in social media: managerial approaches to consumers’ social media behavior. J. Consum. Behav. 10:6 (2011), 356–364.
33. [33] He, W., Zha, S., Li, L., Social media competitive analysis and text mining: a case study in the pizza industry. Int. J. Inf. Manage. 33:3 (2013), 464–472.
34. [34] Hoffman, D.L., Fodor, M., Can you measure the ROI of your social media marketing?. MIT Sloan Manage. Rev. 52:1 (2010), 41–49.
35. [35] Hollis, N., The Value of a Social Media Fan. 2011 Retrieved from http://www.millwardbrown.com/global-navigation/blogs/post/mb-blog/2011/04/04/The-value-of-a-social-media-fan.aspx.
36. [36] Huang, L., Hsieh, Y., Wu, Y., Gratifications and social network service usage: the mediating role of online experience. Inf. Manage. 51:6 (2014), 774–782.
37. [37] Huber, P., The behavior of maximum likelihood estimation under nonstandard conditions. LeCam, L.M., Neyman, J., (eds.) Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley, USA, 1967, 221–233.
38. [38] Jin, X., Wang, C., Luo, J., Yu, X., Han, J., Likeminer: a system for mining the power of ‘like’ in social media networks. Proceedings of the 17th ACM SIGKDD Conference, San Diego, USA, 2011, 753–756.
39. [39] Kaplan, A., If you love something, let it go mobile: mobile marketing and mobile social media 4 × 4. Bus. Horiz. 55:2 (2012), 129–139.
40. [40] Kaplan, A., Haenlein, M., Users of the world, unite! The challenges and opportunities of Social Media. Bus. Horiz. 53:1 (2010), 59–68.
41. [41] Kaplan, A., Haenlein, M., The early bird catches the news: nine things you should know about micro-blogging. Bus. Horiz. 54:2 (2011), 105–113.
42. [42] Kaplan, A., Haenlein, M., Two hearts in three-quarter time: how to waltz the social media/viral marketing dance. Bus. Horiz. 54:3 (2011), 253–263.
43. [43] Kennedy, P., A Guide to Econometrics. 1992, Blackwell, Oxford.
44. [44] Kerpen, D., Likeable Social Media. 2011, McGraw-Hill.
45. [45] Kozinets, R., de Valck, K., Wojnicki, A., Wilner, S., Networked narratives: understanding word-of-Mouth marketing in online communities. J. Market. 74:2 (2010), 71–89.
46. [46] Laroche, M., Yang, Z., McDougall, G., Bergeron, J., Internet versus bricks-and-mortar retailers: an investigation into intangibility and its consequences. J. Retail. 81:4 (2005), 251–267.
47. [47] Lin, H., Fan, W., Chau, P., Determinants of users’ continuance of social networking sites: a self-regulation perspective. Inf. Manage. 51:5 (2014), 595–603.
48. [48] Malhotra, A., Malhotra, C.K., See, A., How to create brand engagement on Facebook. MIT Sloan Manage. Rev. 54:2 (2013), 18–20.
49. [49] Mangold, W., Faulds, D., Social media: the new hybrid element of the promotion mix. Bus. Horiz. 52:4 (2009), 357–365.
50. [50] Mason, R., Gunst, R., Hess, J., Statistical Design and Analysis of Experiments: Applications to Engineering and Science. 1989, Wiley, New York.
51. [51] McQuail, D., Sociology of mass communication. Ann. Rev. Sociol. 11 (1985), 93–111.
52. [52] Menard, S., Applied Logistic Regression Analysis: Sage University Series on Quantitative Applications in the Social Sciences. 1995, Sage, Thousand Oaks, CA.
53. [53] Mendelson, S., Review: tom cruise's ‘Edge of tomorrow’ an inventive delight. Forbes, 2014 Retrieved from http://www.forbes.com/sites/scottmendelson/2014/05/22/review-tom-cruises-edge-of-tomorrow-is-terrific-fun/.
54. [54] Mollen, A., Wilson, H., Engagement, telepresence and interactivity in online consumer experience: reconciling scholastic and managerial perspectives. J. Bus. Res. 63:9 (2010), 919–925.
55. [55] Neff, J., OMD proves the power of engagement. Advert. Age, 78(27), 2007, 3.
56. [56] Oestreicher-Singer, G., Zalmanson, L., Content or community? a digital business strategy for content providers in the social age. Manage. Inf. Syst. Q. 37:2 (2012), 591–616.
57. [57] O'Brien, R., A caution regarding rules of thumb for variance inflation factors. Qual. Quant. 41:5 (2007), 673–690.
58. [58] Pagani, M., Mirabello, A., The influence of personal and social-interactive engagement in social TV web sites. Int. J. Electron. Commer. 16:2 (2011), 41–68.
59. [59] Phang, C., Zhang, C., Sutanto, J., The influence of user interaction and participation in social media on the consumption intention of niche products. Inf. Manage. 50:8 (2013), 661–672.
60. [60] Reinstein, D., Snyder, C., The influence of expert reviews on consumer demand for experience goods: a case study of movie critics. J. Ind. Econ. 53:1 (2005), 27–51.
61. [61] Rishika, R., Kumar, A., Janakiraman, R., Bezawada, R., The effect of consumers’ social media participation on customer visit frequency and profitability: an empirical investigation. Inf. Syst. Res. 24:1 (2013), 108–127.
62. [62] Rui, H., Liu, Y., Whinston, A., Whose and what chatter matters? The effect of tweets on movie sales. Decis. Support Syst. 55:4 (2013), 863–870.
63. [63] Schau, H., Gilly, M., We are what we post? Self-presentation in personal web space. J. Consum. Res. 30:3 (2003), 385–404.
64. [64] Shang, S., Li, E., Wu, Y., Hou, O., Understanding web 2.0 service models: a knowledge-creating perspective. Inf. Manage. 48:4–5 (2011), 178–184.
65. [65] Shao, G., Understanding the appeal of user-generated media: a uses and gratification perspective. Internet Res. 19:1 (2009), 7–25.
66. [66] Suh, K.S., Impact of communication medium on task performance and satisfaction: an examination of media-richness theory. Inf. Manage. 35:5 (1999), 295–312.
67. [67] Susarla, A., Oh, J., Tan, Y., Social networks and the diffusion of user-generated content: evidence from YouTube. Inf. Syst. Res. 23:1 (2012), 23–41.
68. [68] Twitter. (2015). About Twitter. Retrieved from https://about.twitter.com/company.
69. [69] Van Doorn, J., Lemon, K., Mittal, V., Nass, S., Pick, D., Pirner, P., Verhoef, P., Customer engagement behavior: theoretical foundations and research directions. J. Service Res. 13:3 (2010), 253–266.
70. [70] Verrier, R., MPAA stops disclosing average costs of making and marketing movies. Los Angeles Times, 2009 Retrieved from http://articles.latimes.com/2009/apr/01/business/fi-cotown-mpaa1.
71. [71] Vivek, S., Beatty, S., Morgan, R., Customer engagement: exploring customer relationships beyond purchase. J. Mark. Theory Pract. 20:2 (2012), 122–146.
72. [72] Vollmer, C., Precourt, G., Always on: Advertising Marketing and Media in an Era of Consumer Control. 2008, McGraw Hill, New York.
73. [73] White, H., A heteroskedasticity-consistent covariance matrix and a direct test for heteroskedasticity. Econometrica 48:4 (1980), 817–838.
74. [74] Wohn, D.Y., Na, E.K., Tweeting about TV: sharing television viewing experiences via social media message streams. First Monday, 16(3), 2011.
75. [75] Wong, F., Sen, S., Chiang, M., Why watching movie tweets won't tell the whole story?. Proceedings of the 2012 ACM Workshop on Online Social Networks, Helsinki, Finland, 2012, 16–66.
76. [76] Wu, J., Huang, L., Zhao, J., Hua, Z., The deeper, the better? Effect of online brand community activity on customer purchase frequency. Inf. Manage. 52:7 (2015), 813–823.
77. [77] YouTube, Statistics, 2015 Retrieved from https://www.youtube.com/yt/press/statistics.html.
78. [78] Zhang, H., Lu, Y., Wang, B., Wu, S., The impacts of technological environments and cocreation experiences on customer participation. Inf. Manage. 52:4 (2015), 468–482.