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Vad utgör en framgångsrik film?: En analys av Hollywoods filmindustri
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Mathematical Statistics.
2016 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
What drives the financial success of movies? : An analysis of the Hollywood film industry (English)
Abstract [sv]

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.

Abstract [en]

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.

Place, publisher, year, edition, pages
2016.
Series
TRITA-MAT-K, 2016:09
Keyword [en]
Box office revenue, regression analysis, film, 4ps of marketing.
Keyword [sv]
Biointäkter, regressionsanalys, film, 4p marknadsföringsmix.
National Category
Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-188994OAI: oai:DiVA.org:kth-188994DiVA: diva2:942592
Subject / course
Applied Mathematical Analysis
Educational program
Master of Science in Engineering - Industrial Engineering and Management
Supervisors
Examiners
Available from: 2016-06-25 Created: 2016-06-25 Last updated: 2016-06-25Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf