Measure brand equity from diffusion life cycle - In the film industry as an example
Date Issued
2015
Date
2015
Author(s)
HWANG, EN-TI
Abstract
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.
Subjects
Life Cycle
Product Diffusion Theory
Customer Behavior
Regression Analysis
Movie Industry
Type
thesis