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Title:Generative artificial intelligence and the creative industries : a bibliometric review and research agenda
Authors:ID Bervar, Mitja (Author)
ID Bertoncel, Tine (Author)
ID Pejić Bach, Mirjana (Author)
Files:.pdf RAZ_Bervar_Mitja_2026.pdf (3,52 MB)
MD5: 31ECA1532596EDCC70489BF74378321D
 
URL https://www.mdpi.com/2079-8954/14/2/138
 
Language:English
Work type:Abstract or summary
Typology:1.02 - Review Article
Organization:FM - Faculty of Management
Abstract:Generative artificial intelligence (GenAI) is increasingly transforming creative industries through its ability to generate high-quality content, raising critical questions about authorship, ownership, and the future of creative labor. This paper addresses these challenges by conducting a systematic bibliometric review of 119 peer-reviewed articles on GenAI in the creative sectors, published between 2023 and 2025. The study applies PRISMA 2020 guidelines and keyword co-occurrence analysis using VOSviewer to identify thematic clusters and map research trends. The central research question is how the academic literature conceptualizes the role and impact of GenAI within creative industries and how this has evolved over time. Findings reveal nine major thematic areas, ranging from technical implementations to ethical, economic, and institutional perspectives. The analysis shows that recent research emphasizes not only the technological capacities of GenAI, but also its implications for value creation, creative agency, and industry structures. The main contribution of the paper lies in offering a structured overview of current research trajectories, clarifying conceptual ambiguities, and highlighting understudied areas—particularly regarding the intersection of GenAI, platform economies, and labor dynamics. The review also identifies a methodological gap in comparative empirical studies and proposes directions for future research. By mapping the evolving discourse on GenAI in creative industries, this study contributes to both scholarly understanding and policy development. It provides a foundation for interdisciplinary inquiry and a forward-looking agenda for critically assessing GenAI’s role in reshaping creative work.
Keywords:artificial intelligence, creative industries, human–AI collaboration, creative labor, business ecosystems, value creation
Publication version:Version of Record
Publication date:29.01.2026
Year of publishing:2026
Number of pages:str. 1-25
Numbering:Vol. 14, no. 2, [article no.] 138
PID:20.500.12556/RUP-22658 This link opens in a new window
UDC:004.8:338.45:001.1
ISSN on article:2079-8954
DOI:10.3390/systems14020138 This link opens in a new window
COBISS.SI-ID:267334659 This link opens in a new window
Publication date in RUP:16.02.2026
Views:47
Downloads:2
Metadata:XML DC-XML DC-RDF
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Record is a part of a journal

Title:Systems
Shortened title:Systems
Publisher:MDPI AG
ISSN:2079-8954
COBISS.SI-ID:523410713 This link opens in a new window

Licences

License:CC BY 1.0, Creative Commons Attribution 1.0 Generic
Link:https://creativecommons.org/licenses/by/1.0/
Description:You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

Language:Slovenian
Title:Generative artificial intelligence and the creative industries: a bibliometric review and research agenda
Keywords:umetna inteligenca, generativna umetna inteligenca, kreativne industrije, sodelovanje z UI, kreativno delo, poslovni ekosistemi, ustvarjanje vrednosti


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