Innovation in creative industries: Bibliometrix analysis and research agenda
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- 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.
- 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.
- 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.
- 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.
- Andrew Leyshon, 2001. "Time–Space (and Digital) Compression: Software Formats, Musical Networks, and the Reorganisation of the Music Industry," Environment and Planning A, , vol. 33(1), pages 49-77, January.
- 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.
- 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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Innovation; Creative industries; Bibliometric analysis; Research agenda;All these keywords.
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