FACTORS AFFECTING THE BEHAVIORAL INTENTION TO USE IOT-BASED PATIENT MANAGEMENT SYSTEMS BY HEALTHCARE PROFESSIONALS IN SRI LANKA

Abstract

Internet of things (IoT) can greatly enhance service quality, boost operational efficiency, and improve patient outcomes in healthcare. This study examines the factors influencing healthcare professionals in Sri Lanka regarding the adoption of IoT-based patient management systems, utilising the Technology Acceptance Model (TAM) and incorporating organisational and technological aspects to develop a contextual framework. We surveyed 170 respondents, comprising doctors, nurses, and consultants, using a structured questionnaire. The study used correlation and regression analyses to explore the relationships among perceived usefulness (PU), perceived ease of use (PEOU), perceived challenges (PC), perceived benefits (PB), technological factors (TF), and organisational factors (OF). In this framework, attitude toward technology acted as a mediator, while behavioural intention was the dependent variable. Findings show that perceived usefulness and ease of use significantly impact attitude and behavioural intention, confirming the mediating role of attitude. Organisational and technological factors were not very effective in predicting outcomes, highlighting the infrastructural and managerial challenges in Sri Lanka's healthcare system. Successful IoT implementation hinges on technological readiness, organisational support, and staff training. This study enhances the Technology Acceptance Model by incorporating contextual factors relevant to developing nations, providing valuable insights for healthcare administrators and policymakers to inform improved IoT adoption strategies. The findings clarify how perceived ease, usefulness, and organisational readiness influence behavioural intention towards IoT healthcare innovations.