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Cited by 144Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and SocietyEthics and Social Impacts of AI

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

Sedkaoui, Soraya, Benaichouba, Rafika·2026·European Journal of Innovation Management
DOI 10.1108/ejim-02-2024-0129
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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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Crossref · 10.1108/ejim-02-2024-0129

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Citations

Cites

Show all 65 references

Research works printed but not linked: 14

  1. Agrawal, 2022, ChatGPT and how AI disrupts industries, Harvard Business Review
  2. Amabile, 2020, Creativity, artificial intelligence, and a world of surprises, Academy of Management Discoveries, 6, 351
  3. Bender, 2022, Human-like programs abuse our empathy: even Google engineers aren't immune, The Guardian
  4. Chen, 2023, Generative design for product innovation: a comprehensive review, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 37, 1
  5. Daugherty, 2023, Generative AI will enhance—not erase—customer service jobs, Harvard Business Review
  6. Hu, 2023, ChatGPT sets record for fastest-growing user base–analyst note, Reuters
  7. Huhn, 2022, Artificial intelligence in the creative industries: a review of the literature, Technology in Society, 69
  8. Larsen, 2023, Generative AI: A Game-Changer that Society and Industry Need to Be Ready for
  9. Lin, 2023, Generative AI makes headway in healthcare, The Wall Street Journal
  10. Marr, 2023, The best examples of what you can do with ChatGPT, Forbes
  11. Rees, 2023, AI could enable humans to work 4 days a week, says nobel prize-winning economist, Time
  12. Stokes, 2023, Generative AI for drug discovery, Science, 382, 1001
  13. Wang, 2022, Generative design for intelligent manufacturing: a survey, arXiv
  14. Wiles, 2023, Beyond ChatGPT: the Future of Generative AI for Enterprises

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Metadata

Authors
Sedkaoui, S., & Benaichouba, R.
Affiliations
Université Djilali Bounaama Khemis Miliana (DZ)
ORCID
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
DOI
10.1108/ejim-02-2024-0129
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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