Browsing by Author "ANG LEY WON"
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- ThesisRestrictedDETERMINANTS OF BEHAVIOURAL INTENTIONS AND ACTUAL ACCEPTANCE OF ROBOTIC SURGERY AMONG GENERATION X IN KLANG VALLEY, MALAYSIA(International Medical University, 2024-01)ANG LEY WONTechnological evolution has revolutionized surgical procedures with robotic surgery emerging as a minimally invasive approach that offers a greater precision and faster recovery. However, the acceptance of robotic surgery in the Southeast Asia including Malaysia lags behind United States and Europe countries. Misconceptions and limited understanding still persisting, particularly among generation X individuals facing increasing health challenges. Concerns about costs, fears and scepticism lead to the preference for traditional surgery. The study aims to identify the determinants influencing the actual acceptance of robotic surgery. Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB) and Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) were used to identify determinates influencing actual acceptance. An online Google survey was distributed via purposive sampling to Generation X individuals with medical conditions and surgical history, particularly those visiting private hospitals. Results showed a positive correlation between modern technology use and perceived benefits with intention to accept robotic surgery, while familiarity and perceived concern had a negative impact (p<0.05). Behavioural intentions significantly influenced actual acceptance (p<0.05) and moderated relationships between variables. Greater use of modern technology, perceived benefits, and intention to accept are linked to increased acceptance of robotic surgery, while higher familiarity and perceived concerns may reduce acceptance. Healthcare organizations and policymakers should address safety, malfunctions, and costing concerns to enhance acceptance, especially as robotic surgery is still in early stages in Malaysia. Keywords: Behavioural intentions, Actual acceptance, Robotic surgery, Generation X, Healthcare