The DOI matches its Crossref record, with a small difference in title or year; 66 of the 66 references it cites were found in a registry or an index.
Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges
Abstract
Purpose This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. This analysis explores the potential, applications, and challenges of Gen AI in driving innovation and creativity and generating ideas. Design/methodology/approach The study adopts a comprehensive literature review approach, carefully assessing current scientific articles on Gen AI published from 2022 to 2024. The analysis examines trends and insights derived from research. Findings The review indicates that Gen AI has significant potential to augment human creativity and innovation processes as a collaborative partner. However, it is imperative to prioritize responsible development and ethical frameworks in order to effectively tackle biases, privacy concerns, and other challenges. Gen AI is significantly transforming business models, processes, and value propositions in several industries, but with varying degrees of effect. Findings indicate also that despite the theory-driven approach to investigating Gen AI's creative and innovative potential, cutting-edge applications research prioritizes examining the possibilities of Gen AI models. Research limitations/implications Although this review offers a picture of great possibilities, it concurrently underlines the necessity for a deep knowledge of Gen AI nuances to fully harness its capabilities. The findings indicate that continuous research and exploration efforts are required to address the…
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“Mass marketing, which dominated the last century, operated on broadcast principles: a single message (a TV commercial, print ad, or billboard) was disseminated to millions, with minimal personalization.”
From Surveillance Capitalism, Consumer Subjectivity and Marketing in the Age of Artificial Intelligence (2025) · cites this paper as Sedkaoui & Benaichouba, 2024
Citations
Cites
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., et al. (2023) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2023.102642 · Cited by 4,584
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
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Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence
Noy, S., & Zhang, W. (2023) · doi:10.2139/ssrn.4375283 · Cited by 2,157
Experimental evidence on the productivity effects of generative artificial intelligence
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ChatGPT: five priorities for research
van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023) · Nature · doi:10.1038/d41586-023-00288-7 · Cited by 1,842
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437
Artificial intelligence and innovation management: A review, framework, and research agenda✰
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Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence
Cooper, G. (2023) · Journal of Science Education and Technology · doi:10.1007/s10956-023-10039-y · Cited by 1,263
ChatGPT outperforms crowd workers for text-annotation tasks
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Cited by
Sorted by citations
Abdulmuhsin, A. A., Hussein, H. S., Al‐Abrrow, H., Masa’deh, R. M. T., & Alkhwaldi, A. F. (2024) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-05-2024-0301 · Cited by 93
Setyadi, A., Soekotjo, S., Lestari, S. D., Pawirosumarto, S., & Damaris, A. (2025) · Sustainability · doi:10.3390/su17020789 · Cited by 53
Liu, S., Guo, X., Hu, X., & Zhao, X. (2024) · Electronics · doi:10.3390/electronics13244876 · Cited by 58
Generative artificial intelligence and the challenges to adding value ethically
Wamba, S. F., de Queiroz, M. M., Randhawa, K., & Gupta, G. (2025) · Technovation · doi:10.1016/j.technovation.2025.103235 · Cited by 53
Bibri, S. E., & Huang, J. (2025) · Sustainable Cities and Society · doi:10.1016/j.scs.2025.106826 · Cited by 50
Metadata
- Authors
- Sedkaoui, S., & Benaichouba, R.
- Affiliations
- Université Djilali Bounaama Khemis Miliana (DZ)
- Venue
- European Journal of Innovation Management
- Publisher
- Emerald
- Published
- 2024-08-01
- Volume
- 29
- Issue
- 3
- Pages
- 677-701
- ISSN
- 1460-1060 (ISSN-L)
- 1758-7115
- OpenAlex
- W4401203858
- Cited by
- 142
- References
- 65
- Citations by year
- 2026: 58 · 2025: 74 · 2024: 10
- FWCI
- 20.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Innovation Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- generative AI, innovation, creativity, human-AI collaboration, AI ethics, responsible AI, algorithmic bias, privacy, business model transformation
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