Technological Determinants of AI Adoption for Sustainable HRM and Organisational Innovation: Evidence from Private Hospitals in Addis Ababa, Ethiopia
DOI:
https://doi.org/10.69980/1j9rnw98Keywords:
Artificial Intelligence, Technological Factors, AI Adoption, HealthcareAbstract
Artificial Intelligence (AI) is increasingly recognised as a strategic enabler of innovation, sustainable entrepreneurship, and human resource management (HRM), particularly in resource-constrained service organisations in emerging economies. This study examines the technological determinants of AI adoption in HRM among private hospitals in Addis Ababa, conceptualised as entrepreneurial healthcare enterprises operating under resource constraints, with comparative relevance to Asian emerging markets. Using an explanatory research design, primary data were collected from 337 HR and administrative staff and analysed using Pearson correlation and multiple linear regression techniques. The findings reveal that IT infrastructure is the strongest positive predictor of AI adoption, followed by digital literacy, perceived ease of use, and system compatibility, while data security concerns negatively influence adoption. The model explains 48% of the variance in AI adoption, indicating substantial explanatory power. Beyond technological factors, the results demonstrate that AI adoption enhances sustainable organisational performance by improving operational efficiency, optimising resource utilisation, and supporting data-driven decision-making. The study contributes to the literature by demonstrating how AI-enabled HRM supports innovation capacity, human capital development, and inclusive organisational practices. The findings offer important implications for policymakers and practitioners in Asian and other emerging economies seeking to promote digital tran
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