Information Discovery and the Long Tail of Motion Picture Content

Recent papers have shown that, in contrast to the long tail theory, movie sales remain concentrated in a small number of hits. These papers have argued that concentrated sales can be explained, in part, by heterogeneity in quality and increasing returns from social effects. Our research analyzes an additional explanation: how incomplete information may skew sales patterns. We use the movie broadcast on pay-cable channels as an exogenous shock to the availability of information, and analyze how this shock changes the resulting sales distribution. Our data show that the pay-cable broadcast shifts the distribution of DVD sales toward long tail movies, suggesting an information spillover from the broadcast. We develop a learning-based movie discovery model to precisely quantify the two mechanisms of movie discovery: word-of-mouth from previous sales and information spillover from broadcast. We use this model to estimate the lost DVD sales due to incomplete information. Our study contributes to the literature by analyzing how information provided in one channel can change the assortment of the same products demanded in another channel.

[1]  Austan Goolsbee,et al.  Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry , 2000, Journal of Political Economy.

[2]  Jay Pil Choi,et al.  Brand Extension as Informational Leverage , 1998 .

[3]  Erik Brynjolfsson,et al.  Research Commentary - Long Tails vs. Superstars: The Effect of Information Technology on Product Variety and Sales Concentration Patterns , 2010, Inf. Syst. Res..

[4]  Bart J. Bronnenberg,et al.  Product Entry Timing in Dual Distribution Channels: The Case of the Movie Industry , 2004 .

[5]  J. Eliashberg,et al.  A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures , 1996 .

[6]  Donald R. Lehmann,et al.  Sales through Sequential Distribution Channels: An Application to Movies and Videos , 2000 .

[7]  Mohammad S. Rahman,et al.  Battle of the Retail Channels: How Product Selection and Geography Drive Cross-Channel Competition , 2009, Manag. Sci..

[8]  Robert E. Krider,et al.  Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game , 1998 .

[9]  Juanjuan Zhang,et al.  How Does Popularity Information Affect Choices? A Field Experiment , 2009 .

[10]  Erik Brynjolfsson,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 2000 .

[11]  Anita Elberse Should You Invest in the Long Tail , 2008 .

[12]  P. Nelson Information and Consumer Behavior , 1970, Journal of Political Economy.

[13]  G. Jin,et al.  The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards , 2002 .

[14]  Erik Brynjolfsson,et al.  Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers , 2003, Manag. Sci..

[15]  Luís M. B. Cabral,et al.  Stretching Firm and Brand Reputation , 2000 .

[16]  Rahul Telang,et al.  DRAFT : Preliminary and Incomplete Comments Welcome Competing with Free : The Impact of Movie Broadcasts on DVD Sales and Internet Piracy , 2006 .

[17]  J. Eliashberg,et al.  Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures , 2003 .

[18]  M. S. Goeree,et al.  LIMITED INFORMATION AND ADVERTISING IN THE U.S. PERSONAL COMPUTER INDUSTRY , 2008 .

[19]  Jeffrey M. Woodbridge Econometric Analysis of Cross Section and Panel Data , 2002 .

[20]  Anita Elberse,et al.  Superstars and Underdogs: An Examination of the Long Tail Phenomenon in Video Sales , 2007 .

[21]  Alan T. Sorensen Bestseller Lists and Product Variety: The Case of Book Sales , 2004 .

[22]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[23]  Xavier Drèze,et al.  Modeling Movie Life Cycles and Market Share , 2005 .

[24]  S. Abraham Ravid,et al.  The Big Picture: The New Logic Of Money And Power In Hollywood , 2005 .

[25]  Simon P. Anderson,et al.  Pricing, product diversity, and search costs: a Bertrand-Chamberlin-Diamond model , 1999 .

[26]  Eric K. Clemons,et al.  Price Dispersion and Differentiation in Online Travel: An Empirical Investigation , 2002, Manag. Sci..

[27]  S. Chapman Advertising as information , 1999 .

[28]  Wolfgang Jank,et al.  The Long Tail is Longer than You Think: The Surprisingly Large Extent of Online Sales by Small Volume Sellers , 2008 .

[29]  J. Eliashberg,et al.  Modeling goes to Hollywood: predicting individual differences in movie enjoyment , 1994 .

[30]  Yi Xu,et al.  On the Effects of Consumer Search and Firm Entry in a Multiproduct Competitive Market , 2008, Mark. Sci..

[31]  Edward Jay Epstein,et al.  The Big Picture: The New Logic of Money and Power in Hollywood , 2005 .

[32]  Alan T. Sorensen,et al.  Information and the Skewness of Music Sales , 2009, Journal of Political Economy.

[33]  Kartik Hosanagar,et al.  Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity , 2007, Manag. Sci..

[34]  Yu Jeffrey Hu,et al.  From Niches to Riches: Anatomy of the Long Tail , 2006 .

[35]  M. S. Goeree,et al.  Advertising in the US Personal Computer Industry , 2004 .

[36]  Erik Brynjolfsson,et al.  Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales , 2011, Manag. Sci..