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The Final Girls (Todd Strauss-Schulson, 2015) is the story of a group of teenage friends that, during the screening of a Friday the 13th-like 1980s slasher horror, happen to be sucked into the film. Trapped in the gruesome narrative, they have to survive the deranged killer that haunts the premises of the campsite by applying their knowledge of the rules and cliches of the slasher genre. The film is of interest not only because it mixes horror and comedy and exaggerates the horror genre’s conventions – as Scream and other neo-slashers already did. By employing the device of the screen rupture, the film constructs a complex network of self-reflexive moments and intertextual references. The metalinguistic play involves in particular the notoriously sexophobic and gender-led dynamics of the 1980s slashers – those more emancipated girls who have sex are killed; the most prudish girl is the one that eventually manages to defeat the monster, the ‘Final Girl’. In this sense, the film is almost like a video essay that reprises and illustrates one of the most seminal study of the slasher genre, Carol Clover’s 1992 Men, Women, and Chainsaws: Gender in the Modern Horror Film. The chapter presents the defining elements of the slasher subgenre as theorized by Clover and then focusses on the analysis of the metalinguistic elements of The Final Girls vis-à-vis Clover’s classic text.

This work addresses how consumer perceptions of quality may be influenced by the composition of competition. I develop a theoretical framework that explains how consumer evaluations of quality can be negatively impacted by a product's stylistic similarity to popular competitors. These issues are examined empirically using more than 75,000 online consumer evaluations, from the evaluation aggregator Rotten Tomatoes, of 123 feature films released in the United States during 2007. Results suggest that during a movie's opening week, movies that are stylistically similar to the top-performing box office movie are evaluated less favorably. Additional analyses indicate that this negative effect may persist in later periods due to social conformity pressures, and that there is reduced demand for those movies that are stylistically similar to the top box office performer. This article contributes to the broader literature in strategic management by depicting how stylistic features of competitors can affect consumer behaviour and perceptions of quality in markets. This work also suggests managerial implications for entry-timing decisions and positioning choices.

This study aims to identify and explain a possible gender pay gap in the creative industry. By using the salary information of Hollywood actors, this paper restricts the analysis to a relatively homogenous group of workers. In addition, actors' human capital endowments and past performance can be measured precisely. The factors that impact the salaries of movie stars are likely to influence the pay of other high-wage employees, such as athletes and executives.

This paper uses a rich panel data set including 178 female and male actors in 973 movies released between 1980 and 2019. Using a random-effects model and the Blinder–Oaxaca decomposition approach, this paper distinguishes between a fraction of the gender pay gap that can be explained and another fraction that cannot be explained. Hence, only the unexplained residual typically obtained by estimating two standard Mincer-type earnings functions is due to discriminatory pay practices.

This study reveals a pay difference between female and male actors. Gender-specific representation in leading roles and systematic differences in performance measures can explain this pay difference. While female actors' underrepresentation in leading roles reflects consumer tastes and, therefore, reflects discriminatory attitudes, no evidence can be found for direct pay discrimination in Hollywood's movie business.

To the best of the authors’ knowledge, this is the first Hollywood study to relying on a rich panel data set that includes various measures of the human capital characteristics of the different individual actors. This paper's theoretical contribution lies in applying classic labor economics reasoning to explain pay determination in Hollywood's movie business.

In current research on market categories, hybridity (i.e., the association of organizations and/or the products they offer with multiple category memberships) represents an important issue with many practical implications, especially for project-based forms of organizations. This chapter explores the evolution of hybridity and the conditions under which different kinds of project-based organizations develop hybrid projects. By studying the feature film industry in the United States from 1920 until 1970, this chapter contrasts the current perspective based on status-organizing processes and suggests that hybridity is a population-level process that can be interpreted as the result of the construction and interplay of different identities, and on the dynamic of the identity dimensions employed by different actors in such effort. The chapter shows that the development and construction of the identity of a temporary organization is different from other types of organizations, and is linked to identification processes both at the organizational level, with the company or with specific individuals in key roles, and at the institutional/collective level, with pure (single-category) and hybrid (multi-category) genres. This chapter highlights the mutual interactions and constraints between these two levels in different life stages of the film industry.

This study aims to examine the intricate relationships in the making of a box office through a stakeholder lens that considers the influence of filmmakers and theatres on moviegoers' intention to watch a movie at the theatre.

Employing covariance-based structural equation modelling (CB-SEM), this study analyses survey data on cinema-going experience collected from 673 moviegoers in digital era of a new normal.

The findings elucidate that movie branding, movie genre and theatre preference positively influence moviegoers' intention to watch a movie at the theatre. Furthermore, the study unveils that theatre preference is swayed by an array of personal and social factors, including control belief and social companion. Intriguingly, promotional elements, both commercial and non-commercial, were found to influence movie branding, yet not the genre when predicting theatre attendance intentions.

Amid the burgeoning alternatives for watching movies (e.g. cable television and online streaming platforms), this article offers a contemporary exploration of the variables that motivate audiences to partake in the cinema-going experience, thereby serving as a proxy to decipher the factors that drive a movie's box-office success in digital era.

Unlike prior studies relying on archival data, the present study collects and uses survey data to develop a novel stakeholder theory-based marketing framework for the box office and moviegoers. The study also provides seminal insights on the box office and moviegoers in the digital era of a new normal.

The study of the skyline queries has received considerable attention from several database researchers since the end of 2000's. Skyline queries are an appropriate tool that can help users to make intelligent decisions in the presence of multidimensional data when different, and often contradictory criteria are to be taken into account. Based on the concept of Pareto dominance, the skyline process extracts the most interesting (not dominated in the sense of Pareto) objects from a set of data. Skyline computation methods often lead to a set with a large size which is less informative for the end users and not easy to be exploited. The purpose of this paper is to tackle this problem, known as the large size skyline problem, and propose a solution to deal with it by applying an appropriate refining process.

The problem of the skyline refinement is formalized in the fuzzy formal concept analysis setting. Then, an ideal fuzzy formal concept is computed in the sense of some particular defined criteria. By leveraging the elements of this ideal concept, one can reduce the size of the computed Skyline.

An appropriate and rational solution is discussed for the problem of interest. Then, a tool, named SkyRef, is developed. Rich experiments are done using this tool on both synthetic and real datasets.

The authors have conducted experiments on synthetic and some real datasets to show the effectiveness of the proposed approaches. However, thorough experiments on large-scale real datasets are highly desirable to show the behavior of the tool with respect to the performance and time execution criteria.

The tool developed SkyRef can have many domains applications that require decision-making, personalized recommendation and where the size of skyline has to be reduced. In particular, SkyRef can be used in several real-world applications such as economic, security, medicine and services.

This work can be expected in all domains that require decision-making like hotel finder, restaurant recommender, recruitment of candidates, etc.

This study mixes two research fields artificial intelligence (i.e. formal concept analysis) and databases (i.e. skyline queries). The key elements of the solution proposed for the skyline refinement problem are borrowed from the fuzzy formal concept analysis which makes it clearer and rational, semantically speaking. On the other hand, this study opens the door for using the formal concept analysis and its extensions in solving other issues related to skyline queries, such as relaxation.

This study is based on the heuristic-systematic model (HSM) to dynamically examine the effect of review variance on sales and the boundary conditions that mitigate this effect.

Based on the theoretical domain of HSM, a conceptual model is proposed that analyzes the nonlinear relationship between review variance and sales and the interaction and motivation factors that moderate these relationships. Review data from websites targeting the film industry in the USA and South Korea (Korea) were collected to empirically analyze the authors' hypothesis, and panel regression analysis was used for confirmation.

Moderated by interactive and motivational factors, review variance exhibits an inverse-U-shaped relationship with review variance. Specifically, as an interaction factor, review valence and owned social media (OSM) resulted in positive interaction effects, and as a motivation factor, the number of alternatives exhibited a positive interaction effect with review variance. The effect of review variance was less pronounced in the USA than in Korea.

The study outcomes reveal a nonlinear relationship between review variance and sales, thus supporting the contradictory findings of previous studies. This study contributes to the literature by using the HSM as a theoretical framework to verify various HSM mechanisms using online review data. This exploratory study also contributes to the international marketing literature by showing that the effects of review variance vary across cultures.