Exploring the value of online product reviews in forecasting sales: The case of motion pictures

Journal of Interactive Marketing

Volumn 21, Issue 4, 2007, Pages 23-45

  Dellarocas, Chrysanthos ^a   Zhang, Xiaoquan ^b   Awad, Neveen F ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^c WAYNE STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 36549012826     PISSN: 10949968     EISSN: 15206653     Source Type: Journal    
DOI: 10.1002/dir.20087     Document Type: Article

References (47)

1. Ainslie, A., Dreze, X., & Zufryden, F. (2003). Modeling Movie Lifecycles and Market Share. Marketing Science, 24, 508-517.
2. Austin, B., & Gordon, T. (1987). Movie Genres: Toward a Conceptualized Model and Standardized Definition. In B. Austin (Ed.), Current Research in Film: Audience, Economics, and Law, Vol. 3. Norwood, NJ: Ablex Publishing Co.
3. Bass, F. (1969). A new product growth model for consumer durables. Management Science, 15, 215-227.
4. 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, 103-117.
5. Borgida, E., & Nisbett, R. E. (1977). The Differential Impact of Abstract vs. Concrete Information on Decisions. Journal of Applied Social Psychology, 7, 258-271.
6. Box, G., & Jenkins, G. (1970). Time Series Analysis: Forecasting and Control. San Francisco, CA: Holden-Day.
7. Bowman, D., & Narayandas, D. (2001). Managing Customer-Initiated Contacts with Manufacturers: The Impact on Share of Category Requirements and Word-Of-Mouth Behavior. Journal of Marketing Research, 38, 291-297.
8. Brown, J. J., & Reingen, P. (1987). Social Ties and Word-of-Mouth Referral Behavior. Journal of Consumer Research, 14, 350-362.
9. Chatterjee, R., & Eliashberg, J. (1990). The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach. Management Science, 36, 1057-1079.
10. Chevalier, J. A., & Mayzlin, D. (2006). The Effect of Word of Mouth on Sales: Online Book Reviews. Journal of Marketing Research, 43, 345-354.
11. De Silva, I. (1998). Consumer Selection of Motion Pictures. In B. R. Litman (Ed.), The Motion Picture Mega-Industry. Needham Heights, MA: Allyn & Bacon Publishing Inc.
12. De Vany, A., & Walls, D. (1999). Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office? Journal of Cultural Economics, 23, 285-318.
13. Dodds, J., & Holbrook, M. (1988). What's an Oscar Worth? An Empirical Estimation of the Effect of Nominations and Awards on Movie Distribution and Revenues. In B. Austin (Ed.), Current Research in Film: Audience, Economics, and Law, Vol. 4. Norwood, NJ: Ablex Publishing Co.
14. Duan, W., Gu, B., & Whinston, A. B. (2005). Do Online Reviews Matter? An Empirical Investigation of Panel Data. Working Paper, University of Texas at Austin.
15. Efron, B., & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Boca Raton, FL: Chapman and Hall.
16. Elberse, A., & Anand, B. N. (2005). Advertising and Expectations: The Effectiveness of Prerelease Advertising for Motion Pictures. Working Paper 05-060, Harvard Business School.
17. Elberse, A., & Eliashberg, J. (2003). Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures. Marketing Science, 22, 329-354.
18. Eliashberg, J., & Sawhney, M. S. (1994). Modeling Goes to Hollywood: Predicting Individual Differences in Movie Enjoyment. Management Science, 40, 1151-1173.
19. Eliashberg, J., & Shugan, S. M. (1997). Film Critics: Influencers or Predictors? Journal of Marketing, 61, 68-78.
20. Eliashberg, J., Jonker, J., Sawhney, M. S., & Wierenga, B. (2000). MOVIEMOD: An Implementable Decision Support System for Prerelease Market Evaluation of Motion Pictures. Marketing Science, 19, 226-243.
21. Faber, R., & O'Guinn, T. (1984). Effect of Media Advertising and Other Sources on Movie Selection. Journalism Quarterly, 61, 371-377.
22. Godes, D., & Mayzlin D. (2004). Using Online Conversations to Study Word of Mouth Communication. Marketing Science, 23, 545-560.
23. Granovetter, M. (1973). The Strength of Weak Ties. American Journal of Sociology, 78, 1360-1380.
24. Jedidi, K., Krider, R. E., & Weinberg, C. B. (1999). Clustering at the Movies. Marketing Letters, 9, 393-405.
25. Jones, J. M., & Ritz, C. J. (1991). Incorporating Distribution into New Product Diffusion Models. International Journal of Research Marketing, 8, 91-112.
26. Kerr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of Wordof-Mouth and Product-Attribute Information on Persuasion: An Accesibility-Diagnosticity Perspective. Journal of Consumer Research, 17, 454-462.
27. Krider, R., & Weinberg, C. (1998). Competitive Dynamics and the Introduction of New Products: The Motion Picture Timing Game. Journal of Marketing Research, 35, 1-15.
28. Lee, J., Boatwright, P., & Kamakura, W. A. (2003). A Bayesian Model for Prelaunch Sales Forecasting of Recorded Music. Management Science, 49, 179-196.
29. Lippman, J. (2003). Box-Office Records Mask Second-Weekend Drops. The Wall Street Journal, June 6, 2003.
30. Litman, B. R., & Ahn, H. (1998). Predicting Financial Success of Motion Pictures. In B. R. Litman (Ed.), The Motion Picture Mega-Industry. Needham Heights, MA: Allyn & Bacon Publishing Inc.
31. Litman, B. R., & Kohl, A. (1989). Predicting Financial Success of Motion Pictures: The 80's Experience. The Journal of Media Economics, 2, 35-50.
32. Litman, B. R. (1983). Predicting Success of Theatrical Movies: An Empirical Study. Journal of Popular Culture, 16, 159-175.
33. Liu, Y. (2006). Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Receipts. Journal of Marketing, 70, 74-89.
34. Mahajan, V., Muller, E., & Bass, F. M. (1990). New Product Diffiusion Models in Marketing: A Review and Directions for Research. Journal of Marketing, 54, 1-26.
35. Mahajan, V., Muller E., & Kerin, R. A. (1984). Introduction Strategy for New Products with Positive and Negative Word-of-Mouth. Management Science, 30, 1389-1404.
36. Meade, N. (1984). The Use of Growth Curves in Forecasting Market Development-A Review and Appraisal. Journal of Forecasting, 3, 429-451.
37. Moe, W W., & Fader, P. S. (2001). Using Advance Purchase Orders to Forecast New Product Sales. Marketing Science, 21, 347-364.
38. Neelamegham, P., & Chintagunta, P. (1999). A Bayesian Model to Forecast New Product Performance in Domestic and International Markets. Marketing Science, 18, 115-136.
39. Ravid, S. A. (1999). Information, Blockbusters, and Stars: A Study of the Film Industry. Journal of Business, 72, 463-492.
40. Reingen, P., Foster, B., Brown, J. J., & Seidman, S. (1984). Brand Congruence in Interpersonal Relations: A Social Network Analysis. Journal of Consumer Research, 11, 1-26.
41. Reingen, P., & Kernan, P (1986). Analysis of Referral Networks in Marketing: Methods and Illustration. Journal of Marketing Research, 23, 370-378.
42. Reinstein, D. A., & Snyder, C. M. (2005). The Influence of Expert Reviews on Consumer Demand for Experience Goods: A Case Study of Movie Critics. Journal of Industrial Economics, 53, 27-51.
43. Richins, M. L. (1983) Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study. Journal of Marketing, 47, 68-78.
44. Sawhney, M. S., & Eliashberg, J. (1996). A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures. Marketing Science, 15, 113-131.
45. Senecal, S., & Nantel, J. (2004). The Influence of Online Product Recommendations on Consumers' Online Choices. Journal of Retailing, 80, 159-169.
46. Swami, S., Eliashberg, J., & Weinberg, C. B. (1999). SilverScreener: A Modeling Approach to Movie Screens Management. Marketing Science, 18, 352-372.
47. Zufryden, F. S. (1996). Linking Advertising to Box Office Performance of New Film Releases-A Marketing Planning Model. Journal of Advertising Research, 36, 29-41.