IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v15y2021i4d10.1007_s11628-021-00460-x.html
   My bibliography  Save this article

Exploring the key success factors of films: a survival analysis approach

Author

Listed:
  • Ahyun Kim

    (Dongyang Mirae University)

  • Silvana Trimi

    (University of Nebraska-Lincoln)

  • Sang-Gun Lee

    (Sogang University)

Abstract

This paper investigates the key factors that contribute to the success of movies. By using sentiment and survival analysis, this study classified 1,038 movies according to the customer comments and movie characteristics and compared the number of screening days, the primary measure of success of movies, between the groups. Based on the analysis of film reviews (i.e., positive, negative, and neutral), screening days showed significant differences between (1) the positive and neutral groups, negative and neutral groups, (2) the density (|positive—negative comments|) of the positive and negative groups, (3) drama and action, drama and comedy, (4) domestic and foreign films, (5) G-Rated and R-Rated, R-Rated and X-rated films.

Suggested Citation

  • Ahyun Kim & Silvana Trimi & Sang-Gun Lee, 2021. "Exploring the key success factors of films: a survival analysis approach," Service Business, Springer;Pan-Pacific Business Association, vol. 15(4), pages 613-638, December.
  • Handle: RePEc:spr:svcbiz:v:15:y:2021:i:4:d:10.1007_s11628-021-00460-x
    DOI: 10.1007/s11628-021-00460-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-021-00460-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11628-021-00460-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang Yue, 2020. "The effects of movie piracy on box-office revenue: an empirical analysis of the Chinese movie market," Journal of Applied Economics, Taylor & Francis Journals, vol. 23(1), pages 618-655, January.
    2. Gudmundsson, Sveinn Vidar & Rhoades, Dawna L., 2001. "Airline alliance survival analysis: typology, strategy and duration," Transport Policy, Elsevier, vol. 8(3), pages 209-218, July.
    3. Stephanie Brewer & Jason Kelley & James Jozefowicz, 2009. "A blueprint for success in the US film industry," Applied Economics, Taylor & Francis Journals, vol. 41(5), pages 589-606.
    4. Sangkil Moon & Barry Bayus & Youjae Yi & Junhee Kim, 2015. "Local consumers’ reception of imported and domestic movies in the Korean movie market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 99-121, February.
    5. W. D. Walls & Jordi McKenzie, 2020. "Black swan models for the entertainment industry with an application to the movie business," Empirical Economics, Springer, vol. 59(6), pages 3019-3032, December.
    6. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    7. Randy Nelson & Robert Glotfelty, 2012. "Movie stars and box office revenues: an empirical analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 141-166, May.
    8. Chang-Gyu Yang & Silvana Trimi & Sang-Gun Lee & Joon-Sun Yang, 2017. "A Survival Analysis of Business Insolvency in ICT and Automobile Industries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1523-1548, November.
    9. Maria Stepanova & Lyn Thomas, 2002. "Survival Analysis Methods for Personal Loan Data," Operations Research, INFORMS, vol. 50(2), pages 277-289, April.
    10. Nicholas Argyres & Lyda Bigelow, 2010. "Innovation, Modularity, and Vertical Deintegration: Evidence from the Early U.S. Auto Industry," Organization Science, INFORMS, vol. 21(4), pages 842-853, August.
    11. Jang, Moonkyoung & Baek, Hyunmi & Kim, Seongcheol, 2021. "Movie characteristics as determinants of download-to-own performance in the Korean video-on-demand market," Telecommunications Policy, Elsevier, vol. 45(7).
    12. Rocco Ciciretti & Iftekhar Hasan & Maya Waisman, 2015. "Distribution strategy and movie performance: an empirical note," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(1), pages 179-187, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    2. Caroline Elliott & Palitha Konara & Haiyi Ling & Chengang Wang & Yingqi Wei, 2018. "Behind film performance in China’s changing institutional context: The impact of signals," Asia Pacific Journal of Management, Springer, vol. 35(1), pages 63-95, March.
    3. Sayantan Ghosh Dastidar & Caroline Elliott, 2020. "The Indian film industry in a changing international market," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 44(1), pages 97-116, March.
    4. Kang, Lili & Peng, Fei & Anwar, Sajid, 2022. "All that glitters is not gold: Do movie quality and contents influence box-office revenues in China?," Journal of Policy Modeling, Elsevier, vol. 44(2), pages 492-510.
    5. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    6. Fan, Rui & Xu, Ke & Zhao, Jichang, 2018. "An agent-based model for emotion contagion and competition in online social media," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 245-259.
    7. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    8. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    9. Mahan, Joseph E. & Seo, Won Jae & Jordan, Jeremy S. & Funk, Daniel, 2015. "Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction," Sport Management Review, Elsevier, vol. 18(2), pages 182-192.
    10. Molina, Arturo & Fernández, Alejandra C. & Gómez, Mar & Aranda, Evangelina, 2017. "Differences in the city branding of European capitals based on online vs. offline sources of information," Tourism Management, Elsevier, vol. 58(C), pages 28-39.
    11. Carmela Milano, 2015. "Democratization or else vulgarization of cultural capital? The role of social networks in theater’s audience behavior," Working Papers CEB 15-004, ULB -- Universite Libre de Bruxelles.
    12. Manning, Stephan, 2017. "The rise of project network organizations: Building core teams and flexible partner pools for interorganizational projects," Research Policy, Elsevier, vol. 46(8), pages 1399-1415.
    13. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    14. Hassan Danaeefard & Ali Farazmand & Akram Dastyari, 2023. "The Iranian Coronavirus Pandemic (COVID-9) Crisismanship: Understanding the Contributions of National Culture, Media, Technology and Economic System," Public Organization Review, Springer, vol. 23(4), pages 1661-1682, December.
    15. Alexandre, Michel & Antônio Silva Brito, Giovani & Cotrim Martins, Theo, 2017. "Default contagion among credit modalities: evidence from Brazilian data," MPRA Paper 76859, University Library of Munich, Germany.
    16. Richey, Michelle & Ravishankar, M.N., 2019. "The role of frames and cultural toolkits in establishing new connections for social media innovation," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 325-333.
    17. Jamal El-Den & Pratap Adikhari & Pratap Adikhari, 2017. "Social media in the service of social entrepreneurship: Identifying factors for better services," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 3(2), pages 105-114.
    18. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    19. Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
    20. Gal-Tzur, Ayelet & Grant-Muller, Susan M. & Kuflik, Tsvi & Minkov, Einat & Nocera, Silvio & Shoor, Itay, 2014. "The potential of social media in delivering transport policy goals," Transport Policy, Elsevier, vol. 32(C), pages 115-123.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:svcbiz:v:15:y:2021:i:4:d:10.1007_s11628-021-00460-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.