Title

口碑及季節性對於電影票房的影響-以美國電影票房為例

Translated Titles

The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market

DOI

10.6846/TKU.2014.00928

Authors

黃炳翔

Key Words

多元適應雲形迴歸 ; 票房預測 ; 網路口碑 ; 季節效用 ; multivariate adaptive regression splines (MARS) ; box office prediction ; word of mouth ; seasonal

PublicationName

淡江大學管理科學學系碩士班學位論文

Volume or Term/Year and Month of Publication

2014年

Academic Degree Category

碩士

Advisor

陳怡妃

Content Language

繁體中文

Chinese Abstract

新上市產品銷售預測為許多公司所重視的課題,銷售預測通常都需要參考過去長時間的歷史資料後,才能精準預測,但新品往往無長時間歷史資料可供使用,因此本篇論文著重於利用現有的資料,於新品上市初期預測銷量。 本篇論文使用電影票房預測為案例,並以搜尋引擎做為資料取得的來源,探討電影的固定效用和競爭與電影的網路口碑或不同的季節性效果與電影票房的影響,並針對不同預測票房的組合去進行比較,最後再進行票房預測後的分析。為使電影票房的預測更加精準,利用一般線性迴歸、非線性迴歸及多元適應性雲形迴歸(MARS)等,分析數個銷售預測的模型,而獲得最佳預測結果。 本模式之結果將有助於未來企業面對新品上市時,可於短時間內利用現有的資源,於短時間內預測出新產品銷售,或快速進行上市策略的改善及調整。

English Abstract

New product sales forecasting is a crucial task to many innovative companies. Conventionally, the accuracy of sales forecasting is conditional on long-term, sufficient data of sales history. However, the sales information involved with newly launched products is very limited, unavailable or inaccessible. Since virtually all sorts of products are seasonal, the main concept of this study is to propose a seasonal sales forecasting model in the setting of box office for U.S. motion picture market using online open access data, such as critics, comments and ratings, which not only exhibit original interests of different stakeholders in a specific movie but also are available at both pre- and post-released phases. The results of this proposed nonlinear model with desired accuracy manifested that the influence influence of online word of mouth and seasonality significant on box office in the U.S market, contrary to those of the movie characteristics and competitions both very insubstantial.

Topic Category 商管學院 > 管理科學學系碩士班
社會科學 > 管理學
Reference
  1. 胡愈寧、張宏淵、陳靜怡(2004)”整合時間序列資料與總體經濟變數於失業率預測之應用”,育達學院學報8期,P139 – 170
    連結:
  2. 郭振達(2010),” 多元適應性雲形迴歸於高價值顧客商品偏好之研究”,淡江大學管理科學研究所企業經營碩士在職專班學位論文,新北市
    連結:
  3. 顏志龍(2007),”美國電影在台灣”,臺灣大學經濟學研究所學位論文,台北市
    連結:
  4. 顏怡音、韓千山(2012),”企業信用風險指標對智慧資本影響企業價值之干擾效果”,東吳經濟商學學報,台北市
    連結:
  5. Banerjee, A. (1992). A simple model of herd behavior. Quart. J. Econom. 110, 797–817.
    連結:
  6. Banerjee, A. (1993). The economics of rumours. Rev. Econom. Stud. 60, 309–327.
    連結:
  7. Bansal, H. S. & Voyer, P. A. (2000). Word-of-mouth processes within a services purchase decision context. Journal of service research
    連結:
  8. Basuroy, S., Chatterjee, S., & Ravid, A. S. (2003). How critical are critical reviews? The box office effects of film critics, star power, and budgets. Journal of Marketing, 67(4), 103–117.
    連結:
  9. Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing Volume 21, Issue 3, Summer, 2–20.
    連結:
  10. Brown, Robert G. (1959). Statistical Forecasting for Inventory Control. New York: McGraw-Hill, Chapters 2, 3.
    連結:
  11. Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing. Journal of Strategic Marketing, 6(3), 241–254.
    連結:
  12. Einav, L. (2007). Seasonality in the U.S. motion picture industry. The RAND Journal of Economics Vol. 38, No. 1, Spring, 127–145
    連結:
  13. Eliashberg, J., Elberse, A., & Leenders, M. A. A. M. (2006). The motion picture industry: critical issues in practice, current research, and new research directions. Marketing Science, 25(6), 638–661.
    連結:
  14. Freimer, M. & Horsky, D. (2012). Periodic Advertising Pulsing in a Competitive Market. Marketing Science, Vol.31, No.4, 637-648
    連結:
  15. Friedman, J. H. & Roosen, C. B.(1995). An Introduction to Multivariate Adaptive Regression Splines. Statistical Methods in Medical Research, 4, 197-217.
    連結:
  16. Friedman, J. H. (1991). Multivariate adaptive regression splines. The annals of statistics, JSTOR.
    連結:
  17. Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52.
    連結:
  18. Hsu, G.(2006). Jacks of All Trades and Masters of None: Audiences' Reactions to Spanning Genres in Feature Film Production. Administrative Science Quarterly, vol.51, No. 3, 420-450.
    連結:
  19. Kulkarni, G., Kannan, P.K., Moe, W.(2012). Using online search data to forecast new product sales. Decision Support Systems 52, 604–611.
    連結:
  20. Lee, T. S., Chiu, C. C., Chou, Y. C., & Lu, C. J. (2006). Mining the customer credit using classification and regression tree and multivariate adaptive regression splines. Computational Statistics & Data, Elsevier
    連結:
  21. Lee, T. S., Chiu, C. C., Lu, C. J., & Chen, I. F. (2002). Credit Scoring Using the Hybrid Neural Discriminant Technique. Expert Systems with Applications, 23 (3), 245-254.
    連結:
  22. Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
    連結:
  23. Lu, C. J., Lee, T. S., & Lian, C. M. (2012). Sales forecasting for computer wholesalers: A comparison of multivariate adaptive regression splines and artificial neural networks. Decision Support Systems Vol. 54, 1, December, 584-596
    連結:
  24. Madden, M. (2006). Internet penetration and impact. Pew Internet and American Life Project, April 26, 1–5.
    連結:
  25. Nguyen-Cong V., Van D. G., & Rode, B. M. (1996). Using Multivariate Adaptive Regression Splines to QSAR Studies of Dihydroartemisinin Derivatives. European Journal of Medical Chemistry, 31 , 797-803.
    連結:
  26. Peers, Y., Fok, D., & Franses, P. H. (2012). Modeling seasonality in new product diffusion. Marketing Science Vol. 31, No 2, March-April, 351-364.
    連結:
  27. Radas, S. & Shugan, S. M. (1998). Marketing and Timing New Product Introductions. journal of marketing research, vol. 35, no. 3, 296-315.
    連結:
  28. Ravid, S. A. (1999). Information, blockbusters, and stars: A study of the film Industry. Journal of Business 72, 463-492.
    連結:
  29. Rosen, E. (2002). The anatomy of buzz: How to create word-of-mouth marketing. Doubleday, New York.
    連結:
  30. Stauss, B. (2000). Using New Media for Customer Interaction: A Challenge for Relationship Marketing. In T. Hennig-Thurau & U. Hansen (Eds.), Relationship Marketing , 233–253.
    連結:
  31. Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of Marketing Research, 24(3), 258-270.
    連結:
  32. 參考文獻
  33. 中文文獻
  34. 李啟誠、李羽喬(2010),”網路口碑對消費者購買決策之影響── 以產品涉入及品牌形象為干擾變項”,中華管理評論國際學報第十三卷第一期,香港
  35. 蔡瑤昇、呂文琴、高國書、郭宗麟(2011),”網路口碑特性與電影票房銷售之動態關係研究”,中華管理評論國際學報第十四卷第四期,香港
  36. 英文文獻
  37. Amblee, N., & Bui, T. (2007). Freeware downloads: An empirical investigation into the impact of expert and user reviews on demand for digital goods. In Proceedings of the 13th Americas Conference on Information Systems, Keystone, Colorado.
  38. Arndt, J. (1967). Perceived risk , sociometric integration, and word of mouth in theadoption of a new food product. In D.F. Cox(Ed.), Risk taking and information handling in consumer behavior (289-316). Boston: Harvard University.
  39. Bristor, J. M. (1990). Enhanced Explanations of Word of Mouth Communications: The Power of Relationships. Research in Consumer Behaviour, 4, 51–83.
  40. Chen, P. Y., Wu, S. Y., & Yoon, J. (2004). The impact of online recommendations and consumer feedback on sales. In Proceedings of the 25th Annual International Conference on Information Systems, Washington, DC., USA, 711–724.
  41. De Gooijer, J. G., Ray, B. K., and Krager, H.(1998). Forecasting Exchange Rates Using TSMARS. Journal of International Money and Finance, 17(3), June, 513-534.
  42. Hu, N., Pavlou, P. A., & Zhang, J. (2006). Can online reviews reveal a product's true quality? Empirical findings and analytical modeling of online word-of-mouth communication. In Proceedings of the 7th ACM Conference on Electronic Commerce (EC’06), Ann Arbor, Michigan, USA.
  43. Kaplan, D. (2006). And the Oscar Goes to . . . A Logistic Regression Model for Predicting Academy Award Results. Journal Of Applied Economics and Policy, vol.25, No.1, 23-41.
  44. King, D. (1992). Chocs Away: Boxed Chocolate Mints In-dustry. Industry Overview, 1022, (May), 28.
  45. Richins, M. L. & Root-Shaffer, T. (1988). The Role of Involvement and Opinion Leadership in Consumer Word-of-Mouth: An Implicit Model Made Explicit. Advances in Consumer Research, 15, 32–36.
  46. Stauss, B. (1997). Global Word of Mouth. Service Bashing on the Internet is a Thorny Issue. Marketing Management, 6(3), 28–30.
Times Cited
  1. 簡妤庭(2015)。非線性電影票房預測模式-以美國市場為例。淡江大學管理科學學系碩士班學位論文。2015。1-55。 
  2. 鄔欣佑(2016)。建構電影票房與口碑分類模式。淡江大學管理科學學系碩士班學位論文。2016。1-61。
  3. 周雅愉(2016)。以圖像資料預測美食圖片點擊數。淡江大學管理科學學系碩士班學位論文。2016。1-57。