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標題: | 從生命週期的擴散衡量品牌權益-以電影產業為例 Measure brand equity from diffusion life cycle - In the film industry as an example |
作者: | EN-TI HWANG 黃恩荻 |
指導教授: | 任立中(Lichung Jen) |
關鍵字: | 生命週期,產品擴散理論,消費者習性,迴歸分析,電影產業, Life Cycle,Product Diffusion Theory,Customer Behavior,Regression Analysis,Movie Industry, |
出版年 : | 2015 |
學位: | 碩士 |
摘要: | 本研究探討電影產業票房價值的影響因素,以建立預測模型,預測美國電影票房後,比較筆者的預測值與該實際票房之間的差異,藉以分析筆者所抓取的變數分別影響票房程度為何。
筆者所抓取的次級資料來源自美國電影網站IMDB,首先挑選了現今當紅的美國男女明星各七名,其中包含Jennifer Lawrence、Anne Hathaway、Emma Watson、Scarlett Johansson、Emma Stone、Jessica Alba、Angelina Jolie、Johnny Depp、Tom Cruise、Vin Diesel、Will Smith、Samuel L. Jackson、Jason Statham以及Zac Efron,並且針對每支電影的電影類型、是否為小說改編、拍攝場景、是否為續集、電影預算以及電影分級作為筆者此次用來作為變數的依據,希望能成功的利用迴歸模型以及EXCEL作圖,順利的預測電影票房收入。 預測票房收入最重要的就是首週票房差異,首週票房差異也影響了整個模型的走勢,筆者將針對準確與偏差的預測中,試著探討其中的原因,最後,筆者將會根據在兩次實證研究所得到的結果做出結論,並且思考後續研究議題的目標,希望能夠找出其他同時也會影響電影票房收入表現的變數以及原因,試著將這個研究主題更趨完善,完成此次論文研究。 This study investigated the factors film industry box office in order to establish a prediction model to predict the US box office after differences with the author predicted value comparison between the actual box office, whereby the author's analysis of captured variables are the extent of such impact at the box office. I used secondary sources of information from the American movie site IMDB,. At first, I chose the top seven popular American actors and actresses, which includes Jennifer Lawrence, Anne Hathaway, Emma Watson, Scarlett Johansson Emma Stone, Jessica Alba, Angelina Jolie, Johnny Depp, Tom Cruise, Vin Diesel, Will Smith, Samuel L. Jackson, Jason Statham and Zac Efron, and I chose some variances such as [type of film], 「whether it is novel」, 「the shooting scene」, 「whether it is a sequel」, 「movie budgets」 and 「the classification of the film」 as a variable basis, hoping to succeed in the regression model and excel plotted to precisely predict the rest of movie box office revenue. The revenue of the first week at the box office is the most important effect of the box office revenue forecast, the revenue of the first week at the box office also affects the trend of the whole model, I will analyze the accurately predicted and the badly predicted data base and try to explore the reasons. Finally, it will be based on two of the results obtained by empirical research to conclude and ponder the following research topics goal, hoping to find other reasons which also affect the movie box office revenue performance, and try to use these research topics to refine the completion of the research papers. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/18073 |
全文授權: | 未授權 |
顯示於系所單位: | 國際企業學系 |
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