1983
DOI: 10.1111/j.0022-3840.1983.1604_159.x
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Predicting Success of Theatrical Movies: An Empirical Study

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Cited by 326 publications
(294 citation statements)
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“…There remains debate in the literature regarding the impact of releasing films around holiday periods. For example, Brewer et al (2009) concluded that films released in the US during the summer and Thanksgiving periods could be expected to enjoy higher cinema revenues, while Litman (1983) indicated the financial benefits of releasing a film at Christmas. Consequently, a set of dummy variables, SEASON, was created to indicate films released during Christmas and the New Year (SPRING) and summer periods (SUMMER).…”
Section: Data and Methodology Datamentioning
confidence: 99%
“…There remains debate in the literature regarding the impact of releasing films around holiday periods. For example, Brewer et al (2009) concluded that films released in the US during the summer and Thanksgiving periods could be expected to enjoy higher cinema revenues, while Litman (1983) indicated the financial benefits of releasing a film at Christmas. Consequently, a set of dummy variables, SEASON, was created to indicate films released during Christmas and the New Year (SPRING) and summer periods (SUMMER).…”
Section: Data and Methodology Datamentioning
confidence: 99%
“…In the first place, the sampled films will often span non-equivalent and even non-overlapping periods of film history. Because of historical trends in the structure of the film industry, studies can obtain contradictory results even when the investigations are conducted by the same researcher using the same methods (e.g., Litman, 1983;Litman & Ahn, 1998;Litman & Kohl, 1989; see also Smith & Smith, 1986). Furthermore, the samples will differ on whether they include non-English-language films, documentaries, and animations-cinematic products that may have dissimilar success determinants (Simonton, 2007b).…”
mentioning
confidence: 99%
“…As a case in point, investigators have not reached consensus on how to determine whether or not a film features a movie star. Stars have been defined according to (a) whether they previously won a best-acting award (e.g., Delmestri, Montanari, & Usai, 2005), (b) their standing in surveys of frequent moviegoers (e.g., Canterbery & Marvasti, 2001), (c) the financial performance of their most recent films (e.g., Litman, 1983), (d) the total number of prior films in which they have performed (e.g., Chang & Ki, 2005), (e) subjective identification based on the researchers' "knowledge of films and movie stars" (Prag & Casavant, 1994, p. 220), and (f) industry-based determinations of the most "powerful," "bankable," "marquee value," or "A" and "Aϩ" list performers (e.g., Kindem, 1982). Yet there is absolutely no reason for believing that these rival indicators would correlate in the same manner with any criterion of cinematic success.…”
mentioning
confidence: 99%
“…The success of already published movies is used to forecast the demand for new movies. Beginning with Litman (1983) several authors have tried to identify characteristics of a movie project or its producers that determine success (Prag & Casavant, 1994;Albert, 1998;Sedgwick & Pokorny, 1998;De Vany & Walls, 1999;Chang & Ki, 2005;HennigThurau, Houston et al, 2007). Most studies use a marketing perspective, and discuss how to capitalize a completed product.…”
Section: Controlling Risks In Movie Projectsmentioning
confidence: 99%
“…Stars are used as an explanatory variable of box office performance (Simonet, 1980;Litman, 1983;Wallace et al, 1993;Sochay, 1994;Bagella & Becchetti, 1999). The results are somewhat mixed with huge differences concerning the explanatory power.…”
Section: Von Rimscha-managing Risk In Motion Picture Project Developmentmentioning
confidence: 99%