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on Cultural Economics |
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Issue of 2026–04–06
five papers chosen by Roberto Zanola, Università degli Studi del Piemonte Orientale |
| By: | Anouck Butraud-Assathian (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PcEn - Chaire Pluralisme culturel et Ethique du numérique (Paris 1 Panthéon-Sorbonne), UP1 - Université Paris 1 Panthéon-Sorbonne); Cécile Méadel (CARISM - Centre d'Analyse et de Recherche Interdisciplinaires sur les Médias - Université Paris-Panthéon-Assas); Jaércio DA SILVA (CARISM - Centre d'Analyse et de Recherche Interdisciplinaires sur les Médias - Université Paris-Panthéon-Assas) |
| Abstract: | This chapter examines how professionals in the audiovisual sector frame generative artificial intelligence (AI) on LinkedIn. In a context where debates surrounding AI oscillate between enthusiasm and anxiety, this chapter examines how these tools are embedded in professional identities, work routines, and imaginaries within the cultural and creative industries. The analysis draws on a French-language corpus of 11, 526 posts, 9, 235 comments, and 8, 298 user biographies collected on LinkedIn between October 2022 and May 2025. Findings indicate that discourse on generative AI in the audiovisual field is predominantly positive, frequently framing these tools as drivers of innovation, creativity, and professional opportunity. Rather than focusing on specialised or sector-specific applications, users overwhelmingly reference widely accessible systems such as ChatGPT, which functions as a marker of technological literacy and adaptability. The results also highlight the emergence of hybrid professional identities and the rise of informal learning formats, positioning certain users as guides, educators, or facilitators in the adoption of AI. Meanwhile, AI is presented as a gateway to domains that traditionally required technical expertise, lowering entry barriers and circulating narratives of empowerment and productivity. Taken together, these findings suggest that LinkedIn operates less as a space for reporting concrete uses of generative AI in audiovisual production than as a stage for signalling expertise, demonstrating adaptability, and cultivating professional visibility. Generative AI thus becomes a resource for self-presentation and strategic positioning, contributing to the early dynamics of its appropriation in the audiovisual sector. |
| Keywords: | Digital, Audiovisual, CCIs, Cultural and Creative Industries, LinkedIn, AI, Artificial Intelligence, Audiovisuel, Numérique, Intelligence artificielle, ICC, Industries culturelles et créatives, IA |
| Date: | 2025 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05536578 |
| By: | Sihem Mammar El Hadj (EGEI - Éthique et Gouvernance de l’Entreprise et des Institutions - UCO - Université Catholique de l'Ouest, GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement); Laura Sabbado (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique); Ingrid Mazzilli (LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique) |
| Abstract: | Expertise has usually been analysed at the individual or at the group level, but it is a key yet understudied issue for meta-organizations. In meta-organization studies, expertise has indeed been looked at through the lens of members' diverse expertise and how this helps metaorganizations take decisions. However, what is the expertise of a meta-organization and where does it reside exactly? The very nature of meta-organizations raises specific questions about expertise implying interactions with members and non-members. In his chapter, we build on an in-depth case study of a meta-organization in the cultural sector, which has developed a specific expertise about sustainable practices. Our findings help us define metaorganizational expertise as a set of skills built through a relational process founded on on a voluntary commitment of the members that results in accumulating and disseminating knowledge. |
| Keywords: | CULTURAL SECTOR, MEMBER AND NON-MEMBER RELATIONS, META-ORGANIZATIONAL EXPERTISE |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-05547394 |
| By: | Vogel, Henrik; Weidenbeck, Simon |
| Abstract: | Faced with intense competition in the video-on-demand (VoD) market, providers are under increasing pressure to understand the determinants of user acceptance to justify significant investments in content and infrastructure. Based on the stimulus-organism-response (S-O-R) model, this study examines the influence of specific content-related characteristics on consumers' intention to use VoD services. The conceptual model was empirically validated using data from a quantitative online survey of German consumers (n = 200). The results reveal that the intention to use is massively driven by perceived content value. Specifically, content quality and platform design emerged as significant antecedents of content value, whereas content variety showed no significant impact, suggesting a shift in user preference from quantity to relevance. The paper concludes by deriving actionable managerial implications for VoD providers as well as recommendations for future research in digital service adoption. |
| Keywords: | Video-on-demand (VoD), Stimulus-organism-response (SOR) model, video streaming, intention to use, determining factors, streaming service |
| JEL: | L82 L86 M15 M16 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:zbw:iubhbm:339587 |
| By: | Julia Cagé; Guilhem Cassan; Francesca R. Jensenius |
| Abstract: | Information conveyed through news media influences political behavior. But to what extent are media markets themselves shaped by political determinants? We build a novel panel dataset of newspaper markets in India from 2002 to 2017 to measure the impact of changes in apportionment on the development of the news industry over time. We exploit the announcement of an exogenous change in the boundaries of electoral constituencies (the 2008 delimitation) to causally identify the relationship between the (future) apportionment of news markets and the change in the number and circulation of newspapers. Using an event-study model and a staggered Difference-in-Differences approach, we show that markets that faced an increase in representation experienced a significant rise in both circulation and the number of titles per capita. News and current affairs newspapers respond more to this increase. Furthermore, we document various dimensions of heterogeneity and show in particular that the magnitude of the estimated effects is larger in places with a relatively low level of newspaper and political competition prior to the 2008 delimitation. |
| Keywords: | newspapers, media, India, malapportionment, political representation, redistricting, delimitation |
| JEL: | L82 D72 |
| Date: | 2026 |
| URL: | https://d.repec.org/n?u=RePEc:ces:ceswps:_12576 |
| By: | Codreanu, Tatia (Imperial College London) |
| Abstract: | Artificial intelligence is reshaping the film and media industries across production, post-production, performance, rights management, distribution, and audience trust. This paper argues that AI should be analysed as an infrastructural transformation that reorganises transaction costs, labour bargaining power, contractual control, and informational asymmetries across the media value chain. Building on Schumpeter's theory of creative destruction, Coasean transaction-cost economics, and labour-monopsony theory, the paper proposes the General Theory of Creative Disruption+ (GTCD+). Within this framework, it introduces five analytical tools: the Risk-Adjusted Efficiency-Complexity Ratio (RA-ECR), the Transparency Asymmetry Principle, the Likeness Lock-In Risk (LLR), the Visibility Control Function (VCF), and the Authenticity and Trust Index (ATI). This is a conceptual and normative framework paper. These constructs are presented as illustrative heuristic instruments for analysing AI adoption. Future work is needed to calibrate and test them empirically in specific domains before they can support predictive or decision-oriented use. The paper situates them in relation to recent industry and regulatory developments, including AI-assisted screen production, disputes over training-data governance, synthetic- performer regulation, and audience disclosure expectations. It concludes with four policy recommendations for more sustainable integration of AI in film and media, including the proposed De Havilland Threshold for digital- likeness contracts. |
| Date: | 2026–03–25 |
| URL: | https://d.repec.org/n?u=RePEc:osf:mediar:j8xnw_v1 |