Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions
University of Reading · University of Bologna · +3 more institutions
Abstract
Artificial Intelligence (AI) is increasingly adopted by organizations to innovate, and this is ever more reflected in scholarly work. To illustrate, assess and map research at the intersection of AI and innovation, we performed a Systematic Literature Review (SLR) of published work indexed in the Clarivate Web of Science (WOS) and Elsevier Scopus databases (the final sample includes 1448 articles). A bibliometric analysis was deployed to map the focal field in terms of dominant topics and their evolution over time. By deploying keyword co-occurrences, and bibliographic coupling techniques, we generate insights on the literature at the intersection of AI and innovation research. We leverage the SLR findings to…
Citation impact
- FWCI
- 85.68
- Percentile
- 100%
- References
- 159
Authors
4Topics & keywords
- Scopus
- Leverage (statistics)
- Extant taxon
- Bibliographic coupling
- Software deployment
- Knowledge management
- Competitive intelligence
- Field (mathematics)
- Industry, innovation and infrastructure