Film Industry Research Articles

Research on Proprietary Intellectual Property Management and Marketing Model of Film and Television Companies: A Case Study Based on Warner Bros

This research explores the proprietary intellectual property (IP) management and marketing model in the film and television industry, with a particular focus on Warner Bros. The study aims to elucidate the complex strategies employed by Warner Bros. in the management, monetization, and marketing of its exclusive IPs, demonstrating the company's innovative approaches in this competitive landscape. The research is structured sequentially and examines Warner Bros.' IP management model, revenue streams, and marketing strategies. By closely examining these key elements, the study aims to identify the fundamental factors that contribute to Warner Bros.' success in intellectual property management, revenue generation, and marketing prowess. The insights derived from this comprehensive analysis are intended to provide valuable lessons and insights for industry professionals and researchers within the broader entertainment sector, offering a deeper understanding of the strategic intricacies and successful practices employed by Warner Bros. in navigating the complexities of the entertainment industry's IP-driven landscape.

Analysis Of Social Media Promotion and Marketing Strategies for Disney Movies: A Case Study on Zootopia & Frozen 2

This study aims to deeply analyze the successful strategies of Disney movies in social media marketing, taking “Zootopia” and “Frozen 2” as case studies. With the expansion of the global movie market and the diversification of audience demand, animated movies are highly competitive, and Disney occupies a leading position with its strong strength and perfect network. The study first introduces the background of The Walt Disney Company, explaining the study's purpose and significance and the framework. Then it analyzes the global influence and marketing strategy of “Zootopia” respectively, including its background, the current fire situation, social media promotion techniques innovative parts, and offline promotion strategy. Then the background, audience reaction, social media promotion methods, and effects of Frozen 2 are discussed. It then compares the differences and changes in the marketing strategies of the two films, including social media strategies, offline promotion focus, cross-border cooperation methods, etc. It also discusses the evolution of marketing strategies, such as digital transformation, emphasizing user-generated content, exploring the application of new technologies, etc., as well as cross-cultural communication strategies. Finally, suggestions and expectations for movie marketing in the digital era are given, including strengthening innovation, building a social interaction ecology, pursuing content quality, and deepening cross-cultural communication strategies. The study summarizes the results, points out the limitations, and offers an outlook on future research directions, providing valuable experience and inspiration for the film industry.

Beyond Toy Story: Pixar's Business and Marketing Strategies for Enduring Success in Entertainment

As the animated film industry continues to grow, many companies are faced with a lack of content innovation and character innovation, and some companies continue to experience a decline in market competitiveness as well as an increase in investment risk as a result. However, Pixar Animation Studios, a subsidiary of the Disney Group, has created a series of classics through its compelling storytelling and superior animation techniques, which have not only won wide acclaim from audiences around the world, but also continue to set box office records. These achievements perfectly reflect Pixar’s innovation and market leadership in the animation industry. This study examines how Pixar continues to engage a new generation of audiences through unique storytelling and innovative strategies, as well as addressing some of the creative challenges it may face. The importance of the study is demonstrated by understanding the significant role that innovation has played in the development of the animated film company and how it has helped the company to address potential issues and challenges by approaching them from different innovative perspectives. Using a case study approach, this study assesses Pixar’s market performance, innovation strategies and potential for developing future growth through data analysis and literature research. The study finds that Pixar has successfully maintained its innovation and leadership in the animated film industry through technological innovation, creative marketing, cross-border collaborations, and adherence to originality, resulting in a series of award-winning productions such as “Coco” and “The Lion King”.

The Path of Breaking Out of the Circle for Prose Works in Film and Television as Seen from To the Wonder

The TV series To the Wonder, adapted from a prose work, has garnered phenomenal attention with its high-quality content and poetic and healing style. The drama has achieved success in script adaptation by creating quality text content, and it has provided audiences with fresh aesthetic experiences by using visual language and poetic and scattered cultural narrative. At the same time, the content's dissemination and marketing are based on a multi-media matrix, with multi-channel dissemination, and it has explored a new path for diverse expression of prose works through the creation of IP-based derivative products in the film and television industry.

Research on the Strategy of Film and Television Operation Management Mode

At this stage, with the rapid development of the film industry, more and more film and television works have emerged, mainly films, TV series, and online dramas. The film industry is an important part of the cultural industry of various countries. Analysing the operation mechanism of the film production management model will help the prosperity and development of the film industry. The research is mainly about the operation and management mode of the film and television industry. It uses the methods of searching for literature, searching on the Internet, and finally summarises the steps and strategies of film and television operation. The operation steps of film and television mainly include four links: shooting, production, distribution, and screening. Each link is quite important and needs to be carefully arranged and operated, with a strong team and psychological quality to deal with various emergencies. It must invest much money and energy in every step to complete perfect work and create profits in the final release. The operation of film and television is still advancing and will continue to develop new models and update strategies to meet the development of the times.

‘Anyone Can Put On Clothes, Right?’: Costume Design and Styling as Women’s Work in Dutch Media Production

Over the last thirty years, the frustrations of women working in costume design and styling in the Dutch film and television industry with their poor working conditions and lack of recognition have grown strong enough to now culminate in a form of collective resistance. At the cusp of what might be a turning point, this article locates the key developments that have led to this moment at the intersection of the peculiarities of this national media industry, the way costume design and fashion are culturally rendered shallow and feminine, and the repercussions of gender for this trade. It suggests that the grassroots collectivisation of costuming staff in the Dutch media industry challenges the postfeminist tendency to individualise workers’ problems.

Return of the Movie Night? Analyzing the Impact of Netflix Subscriptions on Offline Movie Spending

The advent of streaming services, like Netflix and Prime Video by Amazon, has led to the expectation that demand for offline movie consumption is likely to die (i.e., consumers will simply stop going to the movies). We study this question in our work, and instead, we find that although streaming services provide value to customers in terms of comfort, convenience, and price, they do not lead to a reduction in offline movie consumption. Instead, we show that the offline movie consumption actually increases because streaming services do not fully substitute for the social aspects of going to the movies or the pleasure that is received from watching movies on the “big screen.” Our work thus speaks to the policies implemented in some countries where streaming platforms have been restricted given the concerns about disruption of the offline movie industry. We believe that these policies are potentially misguided because they assume perfect substitution between the two services. Our work also helps inform managers of movie theaters and streaming platforms by providing arguments for the specific types of service offerings that are more likely to be enjoyed at home versus at the movie theater. As we show in the paper, social and hedonic needs are more likely to be met at the movie theater rather than through streaming services. We reiterate the sentiments expressed by Steven Spielberg from 2019: “I hope all of us really continue to believe that the greatest contributions we can make as filmmakers are to give audiences the motion picture theatrical experience. I am a firm believer that movie theaters need to be around forever.”

Sentiment Analysis of Dune: Part Two Movie Reviews Using the Naive Bayes Method

Research on films is fascinating because of the profound changes that the development of information and communication technology has brought about in our interactions with and consumption of media content. This study performs sentiment analysis on "Dune: Part Two" movie reviews using the Naïve Bayes method. Review data was collected from IMDb and then processed through several stages such as preprocessing, feature selection with TF-IDF, data splitting, and data mining and evaluation. Naïve Bayes was chosen for its simplicity and ability to handle large datasets effectively. The test results showed a high accuracy rate of 95%, indicating that this model can identify positive, negative, and neutral sentiments well. The use of TF-IDF in feature selection allowed the model to focus on important words, enhancing its sentiment classification ability. This research can provide insights into audience perceptions of the film "Dune: Part Two," which is beneficial for the film industry.

Haste Makes Waste: A Moderated Mediation Model of the Mechanisms Linking Artificial Intelligence Advancement to Film Firm Performance

Artificial intelligence (AI) has emerged as a transformative force in the modern film industry, revolutionizing production processes and redefining audience experiences. This study delves into the mechanisms through which AI advancement impacts film firm performance, with a focus on the mediating roles of innovation speed and quality, and the moderating effect of human-machine collaboration. Employing a resource-based view, we construct a moderated mediation model and analyze data from 355 global film firms. Our findings reveal that AI advancement positively influences film firm performance, with innovation quality serving as a significant mediator. However, the mediating role of innovation speed is not pronounced. Moreover, the degree of human-machine collaboration positively moderates the relationships between AI advancement and both innovation speed and quality. However, its moderating role between AI advancement and firm performance is not significant. The study underscores the theoretical and practical implications of utilizing advanced AI to foster innovation and competitive advantage in film firms.

OVERLOOKING THE TRANSFORMATION OF VALUES THROUGH THE TRANSNATIONAL AMERICAN REMAKES MOVIES

This study explores the transformation of values in transnational remake movies, focusing on their popularity and the incorporation of new elements to suit target audience preferences. An analysis of The Lake House, a remake of the Korean film Il Mare, reveals shifts in values and the integration of American cultural aspects. These changes stem from audience demands, business considerations, and Hollywood's global influence. Remakes require more than simply reproducing original content; they involve capturing cultural nuances from both versions. Utilizing Hall's representation approach and qualitative methods, the study assesses transnational remakes and their conveyed values. The research identifies shifts from South Korean values to those of the American target market, such as the transition from interdependence to self-reliance and a preference for directness, assertion, and rationality. The American film industry should carefully evaluate the suitability of movies for its audiences, recognizing changes in scenes and messages. The establishment of American values in remakes is influenced by the success of original films and their formulas. As transnational products, movies must be repackaged for target audiences. The industry faces complex processes to align the values of popular films with audience tastes while maintaining the essence of original works.

The Kinomatics Australian Film Production Dataset: A Curated Dataset Describing Australian Feature Film Titles and Personnel 1975–2022

Abstract This article presents a novel, extensive, and thoroughly documented dataset describing Australian feature films and the personnel filling ten key production roles on those films. The dataset is curated from public information in multiple sources and draws on further supplemental resources to verify, validate and consolidate this information. In total, the data describes 22,720 roles filled by 9,397 distinct people across 1,877 films, covering an important 47-year period in the Australian film industry. The authors outline how the dataset solves several problems for scholars interested in data that provides a historical record of the collaborative filmmaking process. In particular, to address concerns about known coverage problems with popular sources such as the Internet Movie Database, this dataset has undergone extensive manual checking to ensure that it is reliable as a source of information on a national film industry. Moreover, the authors have carefully and manually linked each person appearing in the dataset, which allows the dataset to provide a rich source of information for exploring the relationality of filmmaking collaborations. The inclusion of ten key filmmaking roles further expands the utility of the dataset beyond existing datasets which tend to focus on actors and/or directors, writers and producers.

Movie Success Prediction Based on Feature and Trailer Comments Using Ensemble+LSTM Model

Predicting the success of a movie is a very important aspect due to the high risks involved in movie production. The challenge lies in the uncertainty within the movie industry and selecting the appropriate machine learning model. We can combine movie features and sentiment analysis from social media using machine learning techniques to achieve movie success prediction. The methods used for predicting based on movie features are Ensemble models (Random Forest + Gradient Boosting). Meanwhile, the methods used for sentiment analysis of trailer comments is LSTM. The evaluation of the models used is based on RMSE and accuracy calculation. The final prediction of success obtains an RMSE of 0,8807 and an accuracy of 91,19%. This represents an improvement from previous research. Further research is recommended to implement the model in the movie industry

Re-examining the Past and Envisioning the Future of Italian Cinema and Media: Journal of Italian Cinema & Media Studies – fourth international conference, The American University of Rome, 13–15 June 2024

The fourth international conference of the Journal of Italian Cinema & Media Studies (JICMS) was held at The American University of Rome on 13–15 June 2024. The co-organizers were Flavia Laviosa (Wellesley College) and Catherine Ramsey-Portolano (The American University of Rome) and this year’s title was Re-examining the Past and Envisioning the Future of Italian Cinema and Media. Participants from five continents and various countries, with diverse academic backgrounds, including film studies, Italian studies, media studies, social sciences and industry practice, came together for three days of stimulating discussions and productive exchanges of ideas and perspectives. The keynote address ‘Non-fiction filmmaking in contemporary Italy’ was delivered by Áine O’Healy from Loyola Marymount University. The conference was further enriched by the presence of directors Paolo Benvenuti, Monica Guerritore and Liliana Cavani. This report provides an overview of the conference.

Visual Communication Method of Multi frame Film and Television Special Effects Images Based on Deep Learning

For the dynamic film and television special effects industry, creating visually stunning and valuable graphics requires the integration of excellent deep-learning algorithms. This paper presents an enhanced version of the 3-D Convolutional Neural Network (3-D CNN), specifically tailored to meet the demanding needs of multi-frame television and film special effects. The version’s key feature is its efficient data handling through coupled precision training, significantly increasing computational efficiency while reducing memory needs. This method, which combines floating-issue operations of 16 and 32 bits, is ideal for efficiently processing large amounts of high-resolution video data. The proposed 3-D CNN structure excels in extracting and analysing complex spatiotemporal capabilities from video sequences, capturing the spatial and temporal nuances crucial in film imagery. This capability is important for accomplishing excessive fidelity in visual results, ensuring seamless integration with live motion pics. Incorporating a cutting-edge attention mechanism inspired by the aid of transformer-based architectures, the model specialises inside the maximum pertinent components of video frames to enhance the quality and realism of outcomes. Furthermore, the model boasts an excessive-resolution processing characteristic, permitting simultaneous capture of first-rate records and broader scene context. This guarantees consistency and realism in outcomes, from complicated textures to the overarching visual narrative. Advanced regularisation strategies are hired to prevent overfitting, permitting the model to generalise efficiently through numerous film manufacturing conditions. The state-of-the-art 3-D information augmentation techniques make the model robust and prepare it to deal with an intensive variety of challenging situations involving computer special effects. Real-time processing competencies make the model a game-changer for on-set visible outcomes and adjustments. Designed for seamless integration with the famous CGI software program software utility, it allows a harmonious aggregate of AI and ingenious creativity. Acknowledging the environmental impact of high-powered computing, the model consists of power-efficient computational techniques that align with sustainable computing practices, lower operational costs, and are related to processing complex video statistics. model boasts an excessive-resolution processing characteristic, permitting simultaneous capture of first-rate records and broader scene context. This guarantees consistency and realism in outcomes, from complicated textures to the overarching visual narrative. Advanced regularisation strategies are hired to prevent overfitting, permitting the model to generalize efficiently through numerous film manufacturing conditions. The state-of-the-art 3-D information augmentation techniques, in addition, make the model robust, and prepare it to deal with an intensive variety of computer special effects challenging situations.

Exploring Factors Contributing to High Turnover Rate Among Digital Film Technicians: A Grounded Theory Approach

This study aimed to clarify the core elements affecting the turnover intention of grassroots employees in the digital film industry and to construct a model of the factors affecting the turnover rate in this industry. Adopting the grounded theory approach, which encompasses coding techniques such as open, axial, and selective coding, this research involved the participation of 21 grassroots practitioners to explore the causal and influencing factors of the turnover intention of grassroots practitioners in the digital film industry. The results show that determined by the unstable nature of the job and fierce market competition, interpersonal interaction is a core element that influences whether practitioners continue with or leave their jobs. The over-reliance on interpersonal skills leads to negative psychological outcomes and difficulties in career advancement for practitioners. The interpersonal interaction-focused influences model reflects the correlation between the willingness of individuals to leave and the market environment and organizational culture.

The Mistress of Bond: Eileen Sullivan, and the Role of Cutting the Cloth of James Bond's Wardrobe and Beyond

This article spotlights the work of Eileen Sullivan and her career as a wardrobe mistress, later wardrobe supervisor, which included working on the James Bond films from Dr No (1962) until You Only Live Twice (1967). It will further consider how her career and role as a wardrobe mistress and supervisor changed within the British film industry from the mid-1940s until the mid-1980s, through personal papers shared by her family with me. Alongside this, the article draws upon papers available in the Film Finances Archive, the British Film Institute (BFI) and the British Library. This article will work to redress the absence in scholarship on the labour provided by costume workers below that of the costume designer, which as Melanie Williams (2016) has previously recognised, has been rendered invisible despite their costume work appearing on screen that contributes to the overall visual coherence of a film’s design. It will also address the difficulties of researching the work of wardrobe personnel who have hitherto remained unacknowledged in broader scholarship, and analyse the role of the wardrobe mistress and supervisor including agency and labour, and the impact of caring responsibilities on this ‘gendered’ role.

Barbara Broccoli and the Popular Image of the Bond Producer

Of all the women involved in the James Bond film franchise over the years, for the last three decades producer Barbara Broccoli has had the greatest power and influence on its development. Since taking over as co-producer (alongside half-brother Michael G. Wilson) of the Bond films in the mid-1990s, Broccoli is constantly mentioned in relationship to James Bond, yet there has been no academic attention paid to her role as Bond producer. This article will address this oversight in Bond studies and contribute to the growing area of scholarship on the producer in the British film industry by analysing the popular image of ‘the Bond producer’ using promotional materials and press coverage. The approach adopted in this article is framed in terms of a negative stereotype of (male) film producers that is widely generalised, and pressbook evidence showing that the original Bond producers Albert R. ‘Cubby’ Broccoli and Harry Saltzman were positively caricatured in the Bond film publicity. It will consider the enduring legacy of the ‘Men Behind James Bond’ producer image to examine the role played by Broccoli in the discourses of marketing and promotion during the Pierce Brosnan and Daniel Craig eras. The article will demonstrate that although a high degree of public visibility might be expected to come with the role of Bond producer, the woman behind the image and the day-to-day business of film production largely remains hidden in favour of the authorised narratives shaped by the earlier promotional materials, references made to Bondian character types or popular discourses of gender which the mainstream press reproduce. In so doing the article will reflect on debates about gender and diversity in the Bond franchise to connect to wider discourses around inclusivity in British popular culture that have come to the fore in recent years.

The Underexplored Synergy: Cinema as an Ally to the World Wars

This research explores the connection between The Great Wars and Cinema, examining how these major conflicts influenced and were influenced by the film industry. Beginning with an introduction to the causes and triggers of the wars, it traces the evolution of cinema from the pre-war era through the changes brought by the wars. The study focuses on the interdependent relationship between War and Cinema, highlighting how major participating countries used films for propaganda, morale-boosting, and ideological dissemination. As cinema became a dominant art form in the entertainment industry, it had significant socio-economic impacts, influencing national economies and public sentiment. The study also delves into the birth of "German Expressionism," a film technique that emerged in response to the societal trauma of the wars and significantly impacted modern cinema. This movement's distinct visual style and thematic depth continue to influence filmmakers even today. Additionally, the study examines the perspectives of civilians and soldiers on cinema during wartime periods, revealing how films served as both escapism and a reflection of reality. Through various case studies, the study illustrates cinema's role in shaping and reflecting the collective consciousness during these pivotal historical moments. This exploration offers valuable insights into how The Great Wars reshaped the landscape of cinema and left a lasting cultural legacy.

Intellectual Capital and Innovation through Market Orientation in the Indonesian Film Industry

This article aims to analyze the relationship between intellectual capital and innovation through market orientation in the Indonesian film Industry as a creative economy in the new economic age based on information intensification and creativity with superior ideas, knowledge and competencies of human resources. To collect data, a questionnaire was used. Out of 65 populations of film companies, by random sampling, 56 were selected as representative samples. The Partial Least Square Structural Path-Modeling (PLS-PM) was used to test the hypotheses. The research outcomes revealed that intellectual capital, market orientation, and innovation are fairly high. Intellectual capital has a positive effect on market orientation and innovation. Market orientation mediates the effect of intellectual capital on innovation. Intellectual capital may directly affect the innovation of the Indonesian film industry and through market orientation. Human capital, structural capital, and customer capital must be strengthened to support customer orientation, competitor orientation, and internal integration of the company, so that innovations in products, processes, and strategies can be increased. This study implies that the innovation will develop more with the pertinent intellectual capital and suitable market orientation.

Machine Learning-Based Approach: Enhancing Social Media Platform

Machine Learning is a technique that aims to learn from data over a task based on certain performance measures. With the flooding of data and increased computational ability, machine learning algorithms have a huge research scope. The task of identifying the correct machine learning algorithm for an application is very challenging without analysing the basic information about the problem such as the domain of the undertaken problem, the features available in the data, etc. The movie industry, a huge part of entertainment industry, has seen a phenomenal growth throughout the globe in recent times. A movie can capture the attention of a viewer and can trigger cognitive and emotional processes in the brain. In this research, the emotional outcome of the viewer was analysed while they watch the movie before its actual release that is, during its preview. Traditionally Functional Magnetic Resonance Imaging device was used to assess human brain activity but proved to be non-feasible and costly so EEG sensors were used to monitor and record the functioning of the brain of volunteers for further analysis. We proposed a model to use the collected data through EEG sensors were analysed using artificial neural network which was Used to find high and low of different brain waves mapping to the emotions depicted in every scene of the movie. Performance measures such as accuracy, precision and recall were calculated to validate our proposed model. Our proposed model resulted in providing assistance to movie makers who could Study the pulse of audience before the actual release and could incorporate changes if necessary.