Boost Movie Ticket Sales by Location-Based Advertising: A Bayesian VAR Approach

References

• Ainslie, A., Dreze, X., & Zufryden, F. (2005). Modeling Movie lifecycles and market share. Marketing Science, 24, 508–517.
   Web of Science ®Google Scholar
• Banerjee, S. S., & Dholakia, R. R. (2008). Mobile advertising: does location-based advertising work? International Journal of Mobile Marketing, 3(2), 68–75.
   Google Scholar
• Brewer, S. M., Kelley, J. M., & Jozefowicz, J. J. (2009). A blueprint for success in the US film industry. Applied Economics, 41, 589–606.
   Web of Science ®Google Scholar
• Bronnenberg, B. J., Mahajan, V., & Vanhonacker, W. R. (2000). The emergence of market structure in new repeat-purchase categories: The interplay of market share and retailer distribution. Journal of Marketing Research, 37(1), 16–31.
   Web of Science ®Google Scholar
• Bruner, G. C., II, & Kumar, A. (2007). Attitude toward location-based advertising. Journal of Interactive Advertising, 7(2), 3–15.
   Google Scholar
• Butcher, M. (2011). Cultures of commuting: The mobile negotiation of space and subjectivity on Delhi’s metro. Mobilities, 6, 237–254.
   Web of Science ®Google Scholar
• Dekimpe, M. G., & Hanssens, D. M. (1999). Sustained spending and persistent response: A new look at long-term marketing profitability. Journal of Marketing Research, 36, 397–412.
   Web of Science ®Google Scholar
• Elberse, A. (2007). The power of stars: Do stars drive success in creative industries? Journal of Marketing, 71(4), 102–120.
   Web of Science ®Google Scholar
• Elliott, C., & Simmons, R. (2011). Advertising media strategies in the film industry. Applied Economics, 43, 4461–4468.
   Web of Science ®Google Scholar
• Gao, G. G., & Hitt, L. M. (2012). Information technology and trademarks: Implications for product variety. Management Science, 58, 1211–1226.
   Web of Science ®Google Scholar
• Gidofalvi, G., Larsen, H. R., & Pedersen, T. B. (2008). Estimating the capacity of the location-based advertising channel. International Journal of Mobile Communications, 6, 357–375.
   Web of Science ®Google Scholar
• Gopal, R. D., & Tripathi, A. K. (2006). Advertising via wireless networks. International Journal of Mobile Communications, 4(1), 1–16.
   Google Scholar
• Gopinath, S., Chintagunta, P. K., & Venkataraman, S. (2013). Blogs, advertising, and local-market movie box office performance. Management Science, 12, 2635–2654.
   Google Scholar
• Joshi, A. M., & Hanssens, D. M. (2009). Movie advertising and the stock market valuation of studios: A case of “great expectations?” Marketing Science, 28, 239–250.
   Web of Science ®Google Scholar
• Lee, B. K., & Lee, W. N. (2011). The impact of product knowledge on consumer product memory and evaluation in the competitive ad context: The item‐specific‐relational perspective. Psychology and Marketing, 28, 360–387.
   Web of Science ®Google Scholar
• Lee, Y. C. (2010). Factors influencing attitudes towards mobile location-based advertising. In W. Li (Ed.), Software Engineering and Service Sciences (ICSESS) (pp. 709–712). Kaohsiung, Taiwan: IEEE.
   Google Scholar
• Leek, S., & Christodoulides, G. (2009). Next-generation mobile marketing: how young consumers react to Bluetooth-enabled advertising. Journal of Advertising Research, 49(1), 44–53.
   Web of Science ®Google Scholar
• Libai, B., Muller, E., & Peres, R. (2013). Decomposing the value of word-of-mouth seeding programs: Acceleration versus expansion. Marketing Science, 50, 161–176.
   Google Scholar
• Litterman, R. B. (1986). Forecasting with Bayesian vector autoregressions: Five years of experience. Journal of Business & Economic Statistics, 4(1), 25–38.
   Web of Science ®Google Scholar
• Luo, X. (2009). Quantifying the long-term impact of negative word of mouth on cash flows and stock prices. Marketing Science, 28(1), 148–165.
   Web of Science ®Google Scholar
• Luo, X., Andrews, M., Fang, Z., Phang, C., & Aaker, D. A. (2014). Mobile targeting. Management Science, 60, 1738–1756.
   Web of Science ®Google Scholar
• Manchanda, P., Xie, Y., & Youn, N. (2004). The role of targeted communication and contagion in product adoption. Marketing Science, 27, 961–976.
   Google Scholar
• Mazaheri, A., Rafiee, N., & Khadivi, P. (2010). Location based targeted advertising using Bayesian network and Fuzzy TOPSIS, Telecommunications International Symposium (pp. 645–650). Isfahan, Iran: IEEE.
   Google Scholar
• Molitor, D., Reichhart, P., & Spann, M. (2012). Location-based advertising: What is the value of physical distance on the mobile internet? Rochester, NY: Social Science Research Network.
   Google Scholar
• Motion Picture Association of America. (2014). Theatrical market statistics: Washington, DC: Author
   Google Scholar
• Nitzan, I. A. B. L. (2011). Payments as a virtual lock-in: customers’ profitability over time in the presence of payments. Marketing Science Conference, Houston, Texas.
   Google Scholar
• Pauwels, K., & Hanssens, D. M. (2007). Performance regimes and marketing policy shifts. Marketing Science, 26, 293–311.
   Web of Science ®Google Scholar
• Rennhoff, A. D., & Wilbur, K. C. (2011). The effectiveness of post-release movie advertising. International Journal of Advertising: The Review of Marketing Communications, 30, 305–328.
   Google Scholar
• Schonfeld Associates. (2011). Advertising ratios and budgets. Libertyville, IL: Author.
   Google Scholar
• Skeldon, P. (2011). Location-based ads starting to drive mobile and high street shopping, US study finds. Retrieved from http://internetretailing.net/2011/02/location-based-ads-starting-to-drive-mobile-and-high-street-shopping-us-study-finds
   Google Scholar
• Squire, J. E. (2004). The movie business book. New York, NY: Simon & Schuster.
   Google Scholar
• Tambe, P., & Hitt, L. M. (2012). The productivity of information technology investments: New evidence from IT labor data. Information Systems Research, 23, 599–617.
   Web of Science ®Google Scholar
• Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78.
   Web of Science ®Google Scholar
• Unni, R., & Harmon, R. (2007). Perceived effectiveness of push vs. pull mobile location-based advertising. Journal of Interactive Advertising, 7(2), 28–40.
   Google Scholar
• Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42–52.
   Web of Science ®Google Scholar
• Xu, H., Oh, L. B., & Teo, H. H. (2009). Perceived effectiveness of text vs. multimedia location-based advertising messaging. International Journal of Mobile Communications, 7, 154–177.
   Web of Science ®Google Scholar