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MOVIEMOD: An Implementable Decision-Support System for Prerelease Market Evaluation of Motion Pictures

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Cited by:

  1. Huang Dongling & Strijnev Andrei & Ratchford Brian, 2015. "Role of Advertising and Consumer Interest in the Motion Picture Industry," Review of Marketing Science, De Gruyter, vol. 13(1), pages 1-40, November.
  2. Oliver Hinz & Jochen Eckert, 2010. "The Impact of Search and Recommendation Systems on Sales in Electronic Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 2(2), pages 67-77, April.
  3. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
  4. Sumit Raut & Sanjeev Swami & Eunkyu Lee & Charles B. Weinberg, 2008. "How Complex Do Movie Channel Contracts Need to Be?," Marketing Science, INFORMS, vol. 27(4), pages 627-641, 07-08.
  5. Ishii, Akira & Sakaidani, Shota & Iwanaga, Saori, 2016. "Possilibity of estimating payoff matrix from model for hit phenomena," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 72-80.
  6. Eliashberg, Jehoshua & Hegie, Quintus & Ho, Jason & Huisman, Dennis & Miller, Steven J. & Swami, Sanjeev & Weinberg, Charles B. & Wierenga, Berend, 2009. "Demand-driven scheduling of movies in a multiplex," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 75-88.
  7. Kayande, U. & de Bruyn, A. & Lilien, G.L. & Rangaswamy, A. & van Bruggen, G.H., 2006. "How Feedback Can Improve Managerial Evaluations of Model-based Marketing Decision Support Systems," ERIM Report Series Research in Management ERS-2006-039-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  8. Kim, Taegu & Hong, Jungsik & Kang, Pilsung, 2015. "Box office forecasting using machine learning algorithms based on SNS data," International Journal of Forecasting, Elsevier, vol. 31(2), pages 364-390.
  9. Divakaran, Pradeep Kumar Ponnamma & Palmer, Adrian & Søndergaard, Helle Alsted & Matkovskyy, Roman, 2017. "Pre-launch Prediction of Market Performance for Short Lifecycle Products Using Online Community Data," Journal of Interactive Marketing, Elsevier, vol. 38(C), pages 12-28.
  10. 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.
  11. Stefan Stremersch & Jorge Gonzalez & Albert Valenti & Julian Villanueva, 2023. "The value of context-specific studies for marketing," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 50-65, January.
  12. Yi Liao & Yuxuan Peng & Songlin Shi & Victor Shi & Xiaohong Yu, 2022. "Early box office prediction in China’s film market based on a stacking fusion model," Annals of Operations Research, Springer, vol. 308(1), pages 321-338, January.
  13. 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.
  14. Daekook Kang, 2021. "Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model," Electronic Commerce Research, Springer, vol. 21(1), pages 41-72, March.
  15. Frank M. Schneider & Emese Domahidi & Felix Dietrich, 2020. "What Is Important When We Evaluate Movies? Insights from Computational Analysis of Online Reviews," Media and Communication, Cogitatio Press, vol. 8(3), pages 153-163.
  16. Thorsten Hennig-Thurau, 2004. "Spielfilme als Anlageobjekte: Die Höhe des Filmbudgets als Grundlage der Investitionsentscheidung," Schmalenbach Journal of Business Research, Springer, vol. 56(2), pages 171-188, March.
  17. Gazley, Aaron & Clark, Gemma & Sinha, Ashish, 2011. "Understanding preferences for motion pictures," Journal of Business Research, Elsevier, vol. 64(8), pages 854-861, August.
  18. Anita Elberse & Jehoshua Eliashberg, 2003. "Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures," Marketing Science, INFORMS, vol. 22(3), pages 329-354.
  19. Jason M. T. Roos & Ron Shachar, 2014. "When Kerry Met Sally: Politics and Perceptions in the Demand for Movies," Management Science, INFORMS, vol. 60(7), pages 1617-1631, July.
  20. 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.
  21. Brinja Meiseberg & Thomas Ehrmann, 2013. "Diversity in teams and the success of cultural products," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 61-86, February.
  22. France, Stephen L. & Shi, Yuying & Kazandjian, Brett, 2021. "Web Trends: A valuable tool for business research," Journal of Business Research, Elsevier, vol. 132(C), pages 666-679.
  23. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
  24. Martin Spann & Bernd Skiera, 2003. "Internet-Based Virtual Stock Markets for Business Forecasting," Management Science, INFORMS, vol. 49(10), pages 1310-1326, October.
  25. Ladhari, Riadh, 2007. "The movie experience: A revised approach to determinants of satisfaction," Journal of Business Research, Elsevier, vol. 60(5), pages 454-462, May.
  26. Jehoshua Eliashberg & Sam K. Hui & Z. John Zhang, 2007. "From Story Line to Box Office: A New Approach for Green-Lighting Movie Scripts," Management Science, INFORMS, vol. 53(6), pages 881-893, June.
  27. Amit M. Joshi & Dominique M. Hanssens, 2009. "Movie Advertising and the Stock Market Valuation of Studios: A Case of “Great Expectations?”," Marketing Science, INFORMS, vol. 28(2), pages 239-250, 03-04.
  28. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
  29. Sanjeev Swami & Martin L. Puterman & Charles B. Weinberg, 2001. "Play It Again, Sam? Optimal Replacement Policies for a Motion Picture Exhibitor," Manufacturing & Service Operations Management, INFORMS, vol. 3(4), pages 369-386, July.
  30. 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.
  31. Ralf van der Lans & Gerrit van Bruggen & Jehoshua Eliashberg & Berend Wierenga, 2010. "A Viral Branching Model for Predicting the Spread of Electronic Word of Mouth," Marketing Science, INFORMS, vol. 29(2), pages 348-365, 03-04.
  32. Peter Boatwright & Suman Basuroy & Wagner Kamakura, 2007. "Reviewing the reviewers: The impact of individual film critics on box office performance," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 401-425, December.
  33. Berend Wierenga, 2006. "—Motion Pictures: Consumers, Channels, and Intuition," Marketing Science, INFORMS, vol. 25(6), pages 674-677, 11-12.
  34. Mark J Ferrari & Andrew Rudd, 2008. "Investing in movies," Journal of Asset Management, Palgrave Macmillan, vol. 9(1), pages 22-40, May.
  35. Eliashberg, J. & Hegie, Q. & Ho, J. & Huisman, D. & Miller, S.J. & Swami, S. & Weinberg, C.B. & Wierenga, B., 2007. "Demand-driven scheduling of movies in a multiplex," Econometric Institute Research Papers EI 2007-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  36. 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.
  37. 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.
  38. Jehoshua Eliashberg & Sanjeev Swami & Charles B. Weinberg & Berend Wierenga, 2001. "Implementing and Evaluating SilverScreener: A Marketing Management Support System for Movie Exhibitors," Interfaces, INFORMS, vol. 31(3_supplem), pages 108-127, June.
  39. Drevs, Florian, 2013. "The Challenge of the Unknown – The Effect of Pay-What-You-Want on the Market Success of Publicly Subsidized Films," ZögU - Zeitschrift für öffentliche und gemeinwirtschaftliche Unternehmen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 36(4), pages 255-270.
  40. 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.
  41. Peukert, Christian & Claussen, Jörg & Kretschmer, Tobias, 2017. "Piracy and box office movie revenues: Evidence from Megaupload," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 188-215.
  42. Perano, Mirko & Casali, Gian Luca & Liu, Yulin & Abbate, Tindara, 2021. "Professional reviews as service: A mix method approach to assess the value of recommender systems in the entertainment industry," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
  43. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.
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