AI-driven business model innovation: A systematic review and research agenda
HHL Leipzig Graduate School of Management · University of Kassel · +2 more institutions
Abstract
Recent years have seen a surge in research on artificial intelligence (AI)-driven business model innovation (BMI), reflecting its profound impact across industries. However, the field’s current state remains fragmented due to varied conceptual lenses and units of analysis. Existing literature predominantly emphasizes the technological aspects of AI implementation in business models (BMs), treating BMI as a byproduct. Additionally, there is a lack of coherent understanding regarding the scope of BMI propelled by AI. To address these gaps, our study systematically reviews 180 articles, offering two key contributions: (1) a structured analysis of evolving research dimensions in AI-driven BMI, differentiating…
Citation impact
- FWCI
- 36.67
- Percentile
- 100%
- References
- 146
Authors
4Topics & keywords
- Business model
- Business
- Systematic review
- Knowledge management
- Process management
- Political science
- Management science
- Economics
- Industry, innovation and infrastructure