Abstract
The literature on connectivity-enabled innovative business models (from here on ‘digital business models’, DBM) is rapidly growing, and the literature explores the connection of digitalization with business models, for instance, the way businesses create, deliver, and capture value by using digital technologies such as artificial intelligence (AI). This study contributes to the field of Digital Business Models (DBM) by structuring the literature based on 101 studies drawn from top-tier academic journals (AJG3 and AJG4 journal quality levels). Based on our bibliometric analysis of the emerging literature, we identify four clusters of digital business model research: 1) digital business model innovation, 2) Internet of Things business models (IOT business models), 3) digital platform business models, and 4) digital servitization business models. Moreover, we position the 8 special issue articles in this landscape of digital business models. Finally, we propose some novel avenues for future research.
| Original language | English |
|---|---|
| Article number | 103013 |
| Journal | Technovation |
| Volume | 133 |
| DOIs | |
| Publication status | Published - May 2024 |
| Externally published | Yes |
| MoE publication type | A2 Review article in a scientific journal |
Funding
This paper is a product of the MIDAS (Mastering the Next Industrial Revolution: From product-service solutions to Autonomous Systems) research project. The financial support of the Finnish Academy is gratefully acknowledged. Professor Seppo Leminen warmly acknowledges the funding of a Drammen City Municipality for his Chaired Professorship of Innovation and Entrepreneurship, which enabled his part in the article.
Keywords
- Artificial intelligence (AI)
- Digital business model (DBM) and digital business model innovation (DBMI)
- Digital platforms
- Digital servitization
- Digitalization
- Ecosystems
- Product-service-software systems (PSSS)
- Smart solutions
- Strategy and strategy process
- Sustainable product-service systems (SPSS)