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Movie stars and box office revenues: an empirical analysis

Citations

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Cited by:

  1. Fan, Liu & Zhang, Xiaoping & Rai, Laxmisha, 2021. "When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  2. 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.
  3. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers Dissertations 13, Paderborn University, Faculty of Business Administration and Economics.
  4. 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.
  5. Mun, Mak Kit & Chong, Choo Wei, 2018. "Forecasting Movie Demand Using Total and Split Exponential Smoothing," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 81-94.
  6. Kyuhan Lee & Jinsoo Park & Iljoo Kim & Youngseok Choi, 2018. "Predicting movie success with machine learning techniques: ways to improve accuracy," Information Systems Frontiers, Springer, vol. 20(3), pages 577-588, June.
  7. Starling D. Hunter III & Ravi Chinta & Susan Smith & Awais Shamim & Alya Bawazir, 2016. "Moneyball for TV: A Model for Forecasting the Audience of New Dramatic Television Series," Studies in Media and Communication, Redfame publishing, vol. 4(2), pages 13-22, December.
  8. Ana Suarez-Vazquez & Elena Montañés-Roces, 2017. "Superstars Power, Mining the Paths to Stars’ Persuasion," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 67-81, January.
  9. McMahon, James, 2022. "The Political Economy of Hollywood: Capitalist Power and Cultural Production; introduction," EconStor Open Access Book Chapters, in: The Political Economy of Hollywood: Capitalist Power and Cultural Production, pages 1-10, ZBW - Leibniz Information Centre for Economics.
  10. McMahon, James, 2015. "What Makes Hollywood Run? Capitalist Power, Risk and the Control of Social Creativity," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 157994, March.
  11. Kyle D. S. Maclean & Fredrik Ødegaard, 2023. "Revenue implications of celebrities on Broadway theatre," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(3), pages 207-218, June.
  12. Gaenssle Sophia & Budzinski Oliver & Astakhova Daria, 2018. "Conquering the Box Office: Factors Influencing Success of International Movies in Russia," Review of Network Economics, De Gruyter, vol. 17(4), pages 245-266, December.
  13. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
  14. Fei Peng & Lili Kang & Sajid Anwar & Xue Li, 2019. "Star power and box office revenues: evidence from China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 247-278, June.
  15. 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.
  16. Daniel Kaimann, 2014. "Combining Qualitative Comparative Analysis and Shapley Value Decomposition: A Novel Approach for Modeling Complex Causal Structures in Dynamic Markets," Working Papers Dissertations 12, Paderborn University, Faculty of Business Administration and Economics.
  17. Daniel Kaimann & Joe Cox, 2014. "The Interaction of Signals: A Fuzzy set Analysis of the Video Game Industry," Working Papers CIE 84, Paderborn University, CIE Center for International Economics.
  18. Lili Kang & Fei Peng, 2024. "Star power as quality signal or marketing effect? A path analysis on China's motion‐picture industry," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3639-3655, July.
  19. Julianne Treme & Zoe VanDerPloeg, 2014. "The Twitter Effect: Social Media Usage as a Contributor to Movie Success," Economics Bulletin, AccessEcon, vol. 34(2), pages 793-809.
  20. Kyuhan Lee & Jinsoo Park & Iljoo Kim & Youngseok Choi, 0. "Predicting movie success with machine learning techniques: ways to improve accuracy," Information Systems Frontiers, Springer, vol. 0, pages 1-12.
  21. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
  22. Petr A. Parshakov & Kseniya O. Baydina, 2017. "Brands or Uncertainty? An Empirical Test of the Uncertainty of Outcome Hypothesis in Russian Football," HSE Working papers WP BRP 163/EC/2017, National Research University Higher School of Economics.
  23. McMahon, James, 2013. "The Rise of a Confident Hollywood: Risk and the Capitalization of Cinema," EconStor Preprints 157854, ZBW - Leibniz Information Centre for Economics.
  24. 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.
  25. McMahon, James, 2013. "The Rise of a Confident Hollywood: Risk and the Capitalization of Cinema," Review of Capital as Power, Capital As Power - Toward a New Cosmology of Capitalism, vol. 1(1), pages 23-40.
  26. McMahon, James, 2015. "Risk and Capitalist Power: Conceptual Tools for Studying the Political Economy of Hollywood," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 3(2), pages 28-54.
  27. Aloys Prinz & Jan Piening & Thomas Ehrmann, 2015. "The success of art galleries: a dynamic model with competition and information effects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(2), pages 153-176, May.
  28. 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.
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