Artificial Intelligence for Innovation in Business & Engineering

  • Irina Saur-Amaral ISCA & CIMAD, Universidade de Aveiro, Aveiro, Portugal & NECE, Universidade da Beira Interior, Covilhã, Portugal
  • Teresa Aragonez ISCA – Universidade de Aveiro, Aveiro, Portugal
  • João Miguel Lopes ISCA – Universidade de Aveiro, Aveiro, Portugal
Keywords: Artificial Intelligence, Innovation Management, Systematic Literature Review, AI in R&D, Innovation Practices, Data Privacy, Operational Efficiency, Sustainable Development, AI Integration, Ethical Considerations

Abstract

The increasing focus on artificial intelligence (AI) since 2023, especially due to ChatGPT, has left gaps in understanding its application and impact in research and development, as well as innovation management. This article aims to systematically analyze scholarly publications on AI and innovation, addressing questions about AI’s use, benefits, challenges, and best practices in innovation management. Utilizing a systematic literature review methodology, the study analyzes 858 articles from ISI Web of Science, filtered by business economics and engineering fields. Results show a concentration of publications in top journals, with IEEE Access leading. Content analysis highlights AI’s role in various sectors, such as healthcare and aerospace, and its contribution to operational efficiency and sustainability. The study provides insights into AI’s potential, challenges like data privacy, and future research directions focusing on ethical considerations and integration with emerging technologies.

Published
2024-11-15
How to Cite
Saur-Amaral, I., Aragonez, T., & Lopes, J. (2024). Artificial Intelligence for Innovation in Business & Engineering. International Journal of Marketing, Innovation and Strategy, 2(02), 78-87. https://doi.org/10.34624/ijmis.v2i02.37993
Section
Articles