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From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts

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Cited by:

  1. Gabriel Natividad, 2013. "Multidivisional Strategy and Investment Returns," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(3), pages 594-616, September.
  2. Ling Peng & Geng Cui & Ziru Bao & Shuman Liu, 2022. "Speaking the same language: the power of words in crowdfunding success and failure," Marketing Letters, Springer, vol. 33(2), pages 311-323, June.
  3. 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.
  4. Vishal Narayan & Vrinda Kadiyali, 2016. "Repeated Interactions and Improved Outcomes: An Empirical Analysis of Movie Production in the United States," Management Science, INFORMS, vol. 62(2), pages 591-607, February.
  5. Judith Timmer & Richard J. Boucherie & Esmé Lammers & Niek Baër & Maarten Bos & Arjan Feenstra, 2018. "Estimating the potential of collaborating professionals, with an application to the Dutch film industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 69-95, January.
  6. Jane, Wen-Jhan, 2021. "Cultural distance in international films: An empirical investigation of a sample selection model," Journal of Economics and Business, Elsevier, vol. 113(C).
  7. Hyunwoo Hwangbo & Jonghyuk Kim, 2019. "A Text Mining Approach for Sustainable Performance in the Film Industry," Sustainability, MDPI, vol. 11(11), pages 1-16, June.
  8. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
  9. Laura J. Kornish & Sharaya M. Jones, 2021. "Raw Ideas in the Fuzzy Front End: Verbosity Increases Perceived Creativity," Marketing Science, INFORMS, vol. 40(6), pages 1106-1122, November.
  10. Ronny Behrens & Natasha Zhang Foutz & Michael Franklin & Jannis Funk & Fernanda Gutierrez-Navratil & Julian Hofmann & Ulrike Leibfried, 2021. "Leveraging analytics to produce compelling and profitable film content," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 171-211, June.
  11. Wei, Liyuan & Yang, Yupin, 2022. "An empirical investigation of director selection in movie preproduction: A two-sided matching approach," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 888-906.
  12. A. Yeşim Orhun & Sriram Venkataraman & Pradeep K. Chintagunta, 2016. "Impact of Competition on Product Decisions: Movie Choices of Exhibitors," Marketing Science, INFORMS, vol. 35(1), pages 73-92, January.
  13. Pamela Adams & Roberto Fontana & Astrid Marinoni, 2018. "More “team” than “fame”: spin-off success in the US television sitcom industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 27(6), pages 957-974.
  14. Darlene Chisholm & Víctor Fernández-Blanco & S. Abraham Ravid & W. David Walls, 2015. "Economics of motion pictures: the state of the art," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 1-13, February.
  15. Manuel Hermosilla & Fernanda Gutiérrez-Navratil & Juan Prieto-Rodríguez, 2018. "Can Emerging Markets Tilt Global Product Design? Impacts of Chinese Colorism on Hollywood Castings," Marketing Science, INFORMS, vol. 37(3), pages 356-381, May.
  16. Frederic René Hopp & Jacob Taylor Fisher & René Weber, 2020. "A Graph-Learning Approach for Detecting Moral Conflict in Movie Scripts," Media and Communication, Cogitatio Press, vol. 8(3), pages 164-179.
  17. Pantelis Loupos & Yvette Peng & Sute Li & Hao Hao, 2023. "What reviews foretell about opening weekend box office revenue: the harbinger of failure effect in the movie industry," Marketing Letters, Springer, vol. 34(3), pages 513-534, September.
  18. Yanhao Max Wei, 2020. "The Similarity Network of Motion Pictures," Management Science, INFORMS, vol. 66(4), pages 1647-1671, April.
  19. Sam K. Hui & Jehoshua Eliashberg & Edward I. George, 2008. "Modeling DVD Preorder and Sales: An Optimal Stopping Approach," Marketing Science, INFORMS, vol. 27(6), pages 1097-1110, 11-12.
  20. Oded Netzer & Ronen Feldman & Jacob Goldenberg & Moshe Fresko, 2012. "Mine Your Own Business: Market-Structure Surveillance Through Text Mining," Marketing Science, INFORMS, vol. 31(3), pages 521-543, May.
  21. Clement, Michel & Wu, Steven & Fischer, Marc, 2014. "Empirical generalizations of demand and supply dynamics for movies," International Journal of Research in Marketing, Elsevier, vol. 31(2), pages 207-223.
  22. Rubin, Dan & Mohr, Iris & Kumar, V., 2022. "Beyond the box office: A conceptual framework for the drivers of audience engagement," Journal of Business Research, Elsevier, vol. 151(C), pages 473-488.
  23. Morris Holbrook & Michela Addis, 2008. "Art versus commerce in the movie industry: a Two-Path Model of Motion-Picture Success," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(2), pages 87-107, June.
  24. William Goetzmann & S. Ravid & Ronald Sverdlove, 2013. "The pricing of soft and hard information: economic lessons from screenplay sales," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(2), pages 271-307, May.
  25. Akshay Kangale & S. Krishna Kumar & Mohd Arshad Naeem & Mark Williams & M. K. Tiwari, 2016. "Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(13), pages 3272-3286, October.
  26. Xiao Liu & Param Vir Singh & Kannan Srinivasan, 2016. "A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing," Marketing Science, INFORMS, vol. 35(3), pages 363-388, May.
  27. Hart, Andrew & Kerrigan, Finola & vom Lehn, Dirk, 2016. "Experiencing film: Subjective personal introspection and popular film consumption," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 375-391.
  28. Brianna JeeWon Paulich & V. Kumar, 2021. "Relating entertainment features in screenplays to movie performance: an empirical investigation," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1222-1242, November.
  29. Joris Ebbers & Nachoem Wijnberg, 2012. "The effects of having more than one good reputation on distributor investments in the film industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 227-248, August.
  30. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
  31. Dalton, John T. & Leung, Tin Cheuk, 2017. "Strategic decision-making in Hollywood release gaps," Journal of International Economics, Elsevier, vol. 105(C), pages 10-21.
  32. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.
  33. Evgeny A. Antipov & Elena B. Pokryshevskaya, 2017. "Are box office revenues equally unpredictable for all movies? Evidence from a Random forest-based model," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(3), pages 295-307, June.
  34. Juan V Escobar & Didier Sornette, 2015. "Dynamical Signatures of Collective Quality Grading in a Social Activity: Attendance to Motion Pictures," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-15, January.
  35. Liye Ma & Alan L. Montgomery & Param Vir Singh & Michael D. Smith, 2014. "An Empirical Analysis of the Impact of Pre-Release Movie Piracy on Box Office Revenue," Information Systems Research, INFORMS, vol. 25(3), pages 590-603, September.
  36. Moon, Sangkil & Jalali, Nima & Song, Reo, 2022. "Green-lighting scripts in the movie pre-production stage: An application of consumption experience carryover theory," Journal of Business Research, Elsevier, vol. 140(C), pages 332-345.
  37. Nikolay Archak & Anindya Ghose & Panagiotis G. Ipeirotis, 2011. "Deriving the Pricing Power of Product Features by Mining Consumer Reviews," Management Science, INFORMS, vol. 57(8), pages 1485-1509, August.
  38. Michel Clement & Anke Hille & Bernd Lucke & Christina Schmidt-Stölting & Frank Sambeth, 2008. "Der Einfluss von Rankings auf den Absatz — Eine empirische Analyse der Wirkung von Bestsellerlisten und Rangpositionen auf den Erfolg von Büchern," Schmalenbach Journal of Business Research, Springer, vol. 60(8), pages 746-777, December.
  39. Dinesh Puranam & Vishal Narayan & Vrinda Kadiyali, 2017. "The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors," Marketing Science, INFORMS, vol. 36(5), pages 726-746, September.
  40. Olivier Toubia & Oded Netzer, 2017. "Idea Generation, Creativity, and Prototypicality," Marketing Science, INFORMS, vol. 36(1), pages 1-20, January.
  41. 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.
  42. 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.
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