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Innovation in creative industries: Bibliometrix analysis and research agenda

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  • Paulin Gohoungodji

    (Department of Management, Faculty of Business, Laval University, 2325 rue de l'Université, Québec City, QC G1V 0A6, Canada)

Abstract

Innovation has received a great attention in the creative industries literature. We propose in this study a bibliometric method to examine the literature on innovation in creative industries (ICI). A file of 656 manuscripts published on ICI between 1998 and 2022 was retrieved from the Web of Science Core Collection for analysis. The results highlight the evolution of study volume, authors, affiliated institutions and countries, author networks, keyword co-occurrences, and keyword networks. The study also includes a thematic map that highlights four types of research: driving themes (e.g., digital technology, cultural innovation, performing arts, product innovation, innovation management); core and cross-cutting themes (e.g., creativity, digitization, technology, copyright); emerging themes (e.g., gender, artificial intelligence, sustainability); and specialized and peripheral themes (e.g., gender, blockchain, digital music). We finally conclude by proposing future perspectives and a research agenda in this area.

Suggested Citation

  • Paulin Gohoungodji, 2024. "Innovation in creative industries: Bibliometrix analysis and research agenda," Journal of Economic Analysis, Anser Press, vol. 0(1), pages 1-1, March.
    • Handle: RePEc:bba:j00001:v:0:y:2024:i:1:p:1-:d:312
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    References listed on IDEAS

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    1. Chunji Zheng & Feng Deng & Chengfeng Zhuo & Weiheng Sun, 2022. "Green Credit Policy, Institution Supply and Enterprise Green Innovation," Journal of Economic Analysis, Anser Press, vol. 1(1), pages 20-34, September.
    2. Santoro, Gabriele & Bresciani, Stefano & Papa, Armando, 2020. "Collaborative modes with Cultural and Creative Industries and innovation performance: The moderating role of heterogeneous sources of knowledge and absorptive capacity," Technovation, Elsevier, vol. 92.
    3. Mekhail Mustak & Joni Salminen & Loïc Plé & Jochen Wirtz, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Post-Print hal-03269994, HAL.
    4. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
    5. Dharmani, Pranav & Das, Satyasiba & Prashar, Sanjeev, 2021. "A bibliometric analysis of creative industries: Current trends and future directions," Journal of Business Research, Elsevier, vol. 135(C), pages 252-267.
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