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

碩士 === 淡江大學 === 管理科學學系碩士班 === 102 === 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...

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Main Authors: Ping-Hsiang Huang, 黃炳翔
Other Authors: I-Fei Chen
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/43qq2m
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spelling ndltd-TW-102TKU054570552019-05-15T21:42:44Z http://ndltd.ncl.edu.tw/handle/43qq2m The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market 口碑及季節性對於電影票房的影響-以美國電影票房為例 Ping-Hsiang Huang 黃炳翔 碩士 淡江大學 管理科學學系碩士班 102 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. I-Fei Chen 陳怡妃 2014 學位論文 ; thesis 57 zh-TW
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language zh-TW
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description 碩士 === 淡江大學 === 管理科學學系碩士班 === 102 === 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.
author2 I-Fei Chen
author_facet I-Fei Chen
Ping-Hsiang Huang
黃炳翔
author Ping-Hsiang Huang
黃炳翔
spellingShingle Ping-Hsiang Huang
黃炳翔
The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
author_sort Ping-Hsiang Huang
title The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
title_short The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
title_full The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
title_fullStr The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
title_full_unstemmed The Influence of Word of Mouth and Seasonality on Box Office of Motion Pictures: Evidence from Box Office of the U.S Market
title_sort influence of word of mouth and seasonality on box office of motion pictures: evidence from box office of the u.s market
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/43qq2m
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