Abstract
Purpose: The purpose of this study is to examine the role of artificial intelligence (AI) in transforming the healthcare sector, with a focus on how AI contributes to entrepreneurship and value creation. This study also aims to explore the potential of combining AI with other technologies, such as cloud computing, blockchain, IoMT, additive manufacturing and 5G, in the healthcare industry. Design/methodology/approach: Exploratory qualitative methodology was chosen to analyze 22 case studies from the USA, EU, Asia and South America. The data source was public and specialized podcast platforms. Findings: The findings show that combining technologies can create a competitive advantage for technology entrepreneurs and bring about transitions from simple consumer devices to actionable healthcare applications. The results of this research identified three main entrepreneurship areas: 1. Analytics, including staff reduction, patient prediction and decision support; 2. Security, including protection against cyberattacks and detection of atypical cases; 3. Performance optimization, which, in addition to reducing the time and costs of medical procedures, includes staff training, reducing capital costs and working with new markets. Originality/value: This study demonstrates how AI can be used with other technologies to cocreate value in the healthcare industry. This study provides a conceptual framework, “AI facilitators – AI achievers,” based on the findings and offer several theoretical contributions to academic literature in technology entrepreneurship and technology management and industry recommendations for practical implication.
| Original language | English |
|---|---|
| Pages (from-to) | 2082-2105 |
| Number of pages | 24 |
| Journal | International Journal of Entrepreneurial Behaviour and Research |
| Volume | 30 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 24 Sept 2024 |
| MoE publication type | A1 Journal article-refereed |
Funding
This research was partially sponsored by the Jenny and Antti Wihuri Foundation, Finland. This research was partially sponsored by the research center XPRES (Excellence in Production Research) – a strategic research area in Sweden. This research was partially sponsored by the Jenny and Antti Wihuri Foundation, Finland. This research was partially sponsored by the research center XPRES (Excellence in Production Research) – a strategic research area in Sweden. The authors thank Narmin Zeynalli and the Baltic Science Network Mobility Program for Research Internships (BARI) for initial assistance. During the preparation of this work, the authors used ChatGPT to assist with language verification and polishing. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication. Since submission of this article, the following author(s) have updated their affiliations: Julia Kulkova is at the Chair Management in Innovative Health, EDHEC Business School, Paris, France.
Keywords
- Analytics
- Artificial intelligence
- Conceptual framework
- Health care
- Performance optimization
- Security