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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Risky Business : Does recognition reduce uncertainty of the movie industry global box office revenue? * of the movie as a one-liner to reflect the characteristics of the movie industry. notifies that Risky Business (1983) is a comedy-drama movie starring Tom Cruise. The writer intentionally uses the name Master Thesis

Somburanasin, Monsicha January 2010 (has links)
Introduction Movies are considered entertainment goods. Entertainment is one of the experience industries. Intangibility, perishability and heterogeneity are the most significant characteristics of the movie industry. An emotional reaction of consumers cannot be calculated in the same sense that most other physical goods can. If the movie succeeded in meeting the expectations, ticket price decreases will not necessarily indicate further purchases in the future. There are high risks and uncertainty in the movie industry. Purpose The purpose of this paper is to define through a hedonic price theory establishing whether the recognition is a significant factor to the global success of movies. The global success of the movies is determined by the global box office revenue. There are eight independent variables tested in this paper: global movie popularity, global popularity of the directors, global popularity of the authors, fame (determined by wining Academy Award), major studios, sequel, family genre and animation genre. Only one control variable, which is year of release, is included. Method The paper uses empirical model and the data set along with the results of the empirical analysis to achieve the purpose. Only secondary data were collected for the paper. Conclusion To reduce uncertainty in movie industry box office revenue, according to the data collected, recognition is significant to the consumers’ willingness to pay. The willingness to pay is determined by the global box office revenue. Only four independent variables, namely: sequels, Academy Award, the global popularity of the directors and the global popularity of the authors of the original script, are significant recognition factors to the global box office revenue. Movie producers shall be aware that consumers have to make sure utility gained from the consumption exceeds the costs in order to make purchases. Based on the sample collected, it can be summarized that consumers of the movie industry in general rely on previous consumption and recognition to reduce risks and uncertainty in terms of making purchases.
2

Vad utgör en framgångsrik film? : En analys av Hollywoods filmindustri / What drives the financial success of movies? : An analysis of the Hollywood film industry

Danielsson, Simon, Flygare, Jakob January 2016 (has links)
I detta arbete undersöktes vilka de främsta framgångsfaktorerna var med avseende på biointäkter för en amerikansk film i produktions- och distributionsfasen. Analysen av produktionsfasen baserades på filmer mellan åren 2010-2014 och bestod dels av en övergripande regressionsanalys över alla filmer och dels en genrespecifik regressionsanalys. Undersökningen av distributionsfasen grundade sig i 4p modellen för att visa på filmbolagens strategiska möjligheter. Resultaten visade att det fanns signifikanta faktorer som påverkar biointäkterna både positivt och negativt. Däribland var uppföljare och budget de två faktorerna som hade störst positiv påverkan på biointäkterna för majoriteten av regressionsmodellerna. Den genrespecifka analysen visade även på skillnader för vilka faktorer som bidrar till att öka biointäkterna för de olika genrerna. / This work examined the main drivers behind box office success for American movies in the production- and distribution phase. The data sample consisted of movies released between 2010 and 2014. An overall regression analysis of all movies as well as a genre specific regression analysis were made. The 4ps model of marketing was used to investigate a film studio’s strategic possibilities during the distribution of a film. The results showed that it was possible to determine significant drivers behind a movie’s revenue. Budget and sequel were the two factors that had the largest positive˛ effect on revenue for the majority of the regression models. The genre specific analysis showed that the impact of each factor varied between genres.

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