Document Type : Original Article
Authors
1
Professor, Department of Business Administration Faculty of Economics, Management, and Administrative Sciences, University of Semnan, Semnan, Iran
2
PhD Student in Business Administration, Marketing Concentration Faculty of Economics, Management, and Administrative Sciences, University of Semnan, Semnan, Iran
Abstract
Background and Objective: The primary aim of this research is to examine the role of artificial intelligence in innovation and investment strategy for the development of smart surgical services within Iran's healthcare system. The study focuses on identifying the barriers, opportunities, and strategies for advancing this technology in the Iranian healthcare environment.
Materials & Methods: This study was conducted using a mixed-methods approach (qualitative-quantitative). In the qualitative section, data were collected through semi-structured interviews with 15 key stakeholders, including surgeons, hospital managers, technology developers, investors, and health policymakers. The data were analyzed using thematic analysis and NVivo software. In the quantitative section, data from 30 hospitals equipped with smart surgical technologies, primarily located in major cities of Iran, were gathered and analyzed using linear regression and economic modeling.
Results: In the qualitative section, three main categories were identified: barriers to investment (such as financial and infrastructural constraints), opportunities for innovation (increased surgical precision and reduced operation time), and inter-organizational collaboration (partnerships with technology companies and support from policymakers). The results showed that artificial intelligence has a significant impact on the efficiency of surgical services (β = 0.750, p = 0.007) and the return on investment (ROI) (β = 0.680, p = 0.009). However, currency limitations reduce the ROI from 15.3% under optimal conditions to 8.0% in reality.
Conclusion: The results of the research indicate that realizing the full potential of artificial intelligence in smart surgery requires strategic investment, policy support, and the development of technological infrastructure. An operational framework based on open innovation theories and dynamic capabilities can assist decision-makers in charting a path for the sustainable development of smart technologies within Iran's healthcare system.
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