Entertainment Communication Decisions, Episode 2: “Earned” Channels
暂无分享,去创建一个
[1] Katherine L. Milkman,et al. What Makes Online Content Viral? , 2012 .
[2] S. Bikhchandani,et al. Learning from the behavior of others : conformity, fads, and informational cascades , 1998 .
[3] X. Zhang,et al. Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .
[4] Amit M. Joshi,et al. A Meta-Analysis of Electronic Word-of-Mouth Elasticity , 2015 .
[5] William H. Greene,et al. E-Word of Mouth: Early Predictor Of Audience Engagement , 2015, Journal of Advertising Research.
[6] Xiao Liu,et al. A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing , 2015, Mark. Sci..
[7] Wolfgang Jank,et al. Research Note - Prerelease Demand Forecasting for Motion Pictures Using Functional Shape Analysis of Virtual Stock Markets , 2010, Mark. Sci..
[8] Richard Staelin,et al. The Role of Paid and Earned Media in Building Entertainment Brands: Reminding, Informing, and Enhancing Enjoyment , 2012 .
[9] S. Albers,et al. Was bringt ein Oscar im Filmgeschäft? Eine empirische Analyse unter Berücksichtigung des Selektionseffekts , 2007 .
[10] Eric M. Schwartz,et al. What Drives Immediate and Ongoing Word of Mouth? , 2011 .
[11] André Marchand,et al. The power of an installed base to combat lifecycle decline: The case of video games , 2016 .
[12] Robert O. Wyatt,et al. Effects of Information and Evaluation in Film Criticism , 1990 .
[13] Andrew Whinston,et al. The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry , 2008 .
[14] J. Arndt. Role of Product-Related Conversations in the Diffusion of a New Product , 1967 .
[15] Steven M. Shugan,et al. Film Critics: Influencers or Predictors? , 1997 .
[16] Sara B. Soderstrom,et al. Timing matters: How social influence affects adoption pre- and post-product release , 2016 .
[17] K. Sudhir,et al. Forecasting Marketing-Mix Responsiveness for New Products , 2010 .
[18] Narasimhan Srinivasan,et al. An Empirical Assessment of Multiple Operationalizations of Involvement , 1990 .
[19] Jagdip Singh,et al. Impact of User-Generated and Professional Critics Reviews on Bollywood Movie Success , 2015 .
[20] Ekaterina V. Karniouchina,et al. Impact of Star and Movie Buzz on Motion Picture Distribution and Box Office Revenue , 2010 .
[21] Thorsten Hennig-Thurau,et al. Can Automated Group Recommender Systems Help Consumers Make Better Choices? , 2012 .
[22] Mark B. Houston,et al. Can good marketing carry a bad product? Evidence from the motion picture industry , 2006 .
[23] Pasquale Lops,et al. Content-based Recommender Systems: State of the Art and Trends , 2011, Recommender Systems Handbook.
[24] P. Lazarsfeld,et al. 6. Katz, E. Personal Influence: The Part Played by People in the Flow of Mass Communications , 1956 .
[25] I. Ajzen,et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .
[26] Dwayne D. Gremler,et al. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .
[27] Gianfranco Walsh,et al. Exporting Media Products: Understanding the Success and Failure of Hollywood Movies in Germany , 2004 .
[28] Greta Hsu. Evaluative schemas and the attention of critics in the US film industry , 2006 .
[29] Rahul Telang,et al. The Effect of Digital Sharing Technologies on Music Markets: A Survival Analysis of Albums on Ranking Charts , 2007, Manag. Sci..
[30] Jagdip Singh,et al. Consumer Trust, Value, and Loyalty in Relational Exchanges , 2002 .
[31] Thorsten Hennig-Thurau,et al. The relationship between reviewer judgments and motion picture success: re-analysis and extension , 2012 .
[32] Michel Clement,et al. Success Drivers of Fiction Books: An Empirical Analysis of Hardcover and Paperback Editions in Germany , 2011 .
[33] Marc Fischer,et al. Empirical Generalizations of Demand and Supply Dynamics for Movies , 2013 .
[34] John Riedl,et al. PolyLens: A recommender system for groups of user , 2001, ECSCW.
[35] M. Clement,et al. Der Einfluss von Rankings auf den Absatz — Eine empirische Analyse der Wirkung von Bestsellerlisten und Rangpositionen auf den Erfolg von Büchern , 2008 .
[36] Lorin M. Hitt,et al. Self Selection and Information Role of Online Product Reviews , 2007, Inf. Syst. Res..
[37] Christopher M. Snyder,et al. The Influence of Expert Reviews on Consumer Demand for Experience Goods: A Case Study of Movie Critics , 2005 .
[38] Zhiqiang Zheng,et al. Know Yourself and Know Your Enemy: An Analysis of Firm Recommendations and Consumer Reviews in a Competitive Environment , 2013, MIS Q..
[39] Robert O. Wyatt,et al. How Reviews Affect Interest in and Evaluation of Films , 1984 .
[40] Michel Clement,et al. Do Critics Make Bestsellers? Opinion Leaders and the Success of Books , 2007 .
[41] Wagner A. Kamakura,et al. A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music , 2003, Manag. Sci..
[42] Dominique M. Hanssens,et al. Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products , 2017 .
[43] Gianfranco Walsh,et al. The differing roles of success drivers across sequential channels: An application to the motion picture industry , 2006 .
[44] V. Kerry Smith,et al. Successful movies: A preliminary empirical analysis , 1986 .
[45] Yehuda Koren,et al. Matrix Factorization Techniques for Recommender Systems , 2009, Computer.
[46] Yong Liu,et al. When do Third-Party Product Reviews Affect Firm Value and what can Firms Do? The Case of Media Critics and Professional Movie Reviews , 2012 .
[47] CARLOS A. GOMEZ-URIBE,et al. The Netflix Recommender System , 2015, ACM Trans. Manag. Inf. Syst..
[48] J. Eliashberg,et al. Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures , 2003 .
[49] Daniel Kaimann,et al. How do reviews from professional critics interact with other signals of product quality? Evidence from the video game industry† , 2015 .
[50] Sundar Bharadwaj,et al. Prerelease Buzz Evolution Patterns and New Product Performance , 2014, Mark. Sci..
[51] Joseph A. Konstan,et al. Who predicts better?: results from an online study comparing humans and an online recommender system , 2008, RecSys '08.
[52] Gerda Gemser,et al. The impact of film reviews on the box office performance of art house versus mainstream motion pictures , 2007 .
[53] Gerda Gemser,et al. Why Some Awards Are More Effective Signals of Quality Than Others: A Study of Movie Awards† , 2008 .
[54] Robin D. Burke,et al. Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.
[55] Dean Keith Simonton,et al. Applying discrete choice models to predict Academy Award winners , 2008 .
[56] T. Hennig-Thurau,et al. Pre-release consumer buzz , 2018, Journal of the Academy of Marketing Science.
[57] Raoul V. Kübler,et al. The Role of the Partner Brand's Social Media Power in Brand Alliances , 2018 .
[58] Anindya Ghose,et al. Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets , 2008, Inf. Syst. Res..
[59] Neil Malhotra,et al. Inflation in weekend box office estimates , 2012 .
[60] J. McKenzie. How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence , 2010 .
[61] Monic Sun,et al. How Does the Variance of Product Ratings Matter? , 2010, Manag. Sci..
[62] T. Hennig-Thurau,et al. Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success , 2017 .
[63] Suman Basuroy,et al. How Critical are Critical Reviews? The Box Office Effects of Film Critics, Star Power, and Budgets , 2003 .
[64] A. D. Vany,et al. Quality signals in information cascades and the dynamics of the distribution of motion picture box office revenues , 2001 .
[65] Mark H. Walker,et al. Is Popular More Likeable? Choice Status by Intrinsic Appeal in an Experimental Music Market , 2016 .
[66] R. Nelson,et al. What's an Oscar worth? , 2001 .
[67] Pradeep Chintagunta,et al. The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets , 2010, Mark. Sci..
[68] Stephanie M. Brewer,et al. New Release: An Empirical Analysis of VHS/DVD Rental Success , 2008 .
[69] Matthew J. Salganik,et al. Leading the Herd Astray: An Experimental Study of Self-fulfilling Prophecies in an Artificial Cultural Market , 2008, Social psychology quarterly.
[70] Jui Ramaprasad,et al. Research Note - Music Blogging, Online Sampling, and the Long Tail , 2012, Inf. Syst. Res..
[71] Determinants of demand and price for best-selling novels in paperback in Japan , 2016 .
[72] Pradeep Kumar Ponnamma Divakaran,et al. Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data , 2017 .
[73] D. Redelmeier,et al. Survival in Academy AwardWinning Actors and Actresses , 2001, Annals of Internal Medicine.
[74] Confessions of a Movie-Fan: Introspection into a Consumer’s Experiential Consumption of ‘Pride & Prejudice.' , 2008 .
[75] T. Hennig-Thurau,et al. Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies , 2013 .
[76] Thorsten Hennig-Thurau,et al. Increasing consumers' understanding of recommender results: a preference-based hybrid algorithm with strong explanatory power , 2010, RecSys '10.
[77] Yong Liu. Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .
[78] Brinja Meiseberg,et al. The Effectiveness of E-tailers’ Communication Practices in Stimulating Sales of Niche versus Popular Products , 2016 .
[79] Peter A. Gloor,et al. Predicting Movie Success and Academy Awards through Sentiment and Social Network Analysis , 2008, ECIS.
[80] Denis Larocque,et al. The effect of critical reviews on exhibitors' decisions: Do reviews affect the survival of a movie on screen? , 2016 .
[81] Matthew J. Salganik,et al. Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market , 2006, Science.
[82] Jonah A. Berger. Word of mouth and interpersonal communication: A review and directions for future research , 2014 .
[83] Tammo H. A. Bijmolt,et al. The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors , 2016 .
[84] Jialie Chen,et al. The impact of advertising content on movie revenues , 2017 .
[85] Charles B. Weinberg,et al. Measurement of interactions in non-linear marketing models: The effect of critics' ratings and consumer sentiment on movie demand , 2016 .
[86] Sriram Venkataraman,et al. Blogs, Advertising, and Local-Market Movie Box Office Performance , 2013, Manag. Sci..
[87] Jamal Shamsie,et al. Critical Push: Strategies for Creating Momentum in the Motion Picture Industry , 2000 .
[88] John Riedl,et al. Collaborative Filtering Recommender Systems , 2011, Found. Trends Hum. Comput. Interact..
[89] Francesco Ricci,et al. Context-Aware Recommender Systems , 2011, AI Mag..