Abstract:
This study explores the determinants of modern medical technology acceptance
among Ayurveda doctors in the North Central Province of Sri Lanka, providing a
comprehensive framework based on the Technology Acceptance Model 3 and
integrating education levels and demographic factors. A quantitative approach
was employed, using a survey distributed to a purposive sample of 108 Ayurveda
doctors. The analysis utilized multiple regression models along with various
statistical tools, including central tendency measures, measures of dispersion,
correlation, chi-square tests, and hypothesis testing. The study identified four
models with dependent and independent variables, revealing that External
Pressure, Job Relevance, Clarity of the Results, Growing Prominence, and
Excellent Output accounted for 31.2% of the variation in Perceived Usefulness.
Acquiring Knowledge and Skills, Organizational Support, and Comparison
explained 38.3% of the variation in Perceived Ease of Use. Additionally,
Perceived Usefulness and Perceived Ease of Use explained 13% of the variation
in Behavioral Intention, while Behavioral Intention explained 16% of the
variation in Use Behavior. Chi-square tests indicated a significant association
between Behavioral Intention to adopt medical technology and the educational
level of Ayurveda doctors, although age, sex, and experience were not significant.
The study concludes with recommendations for the Department of Ayurveda to
enhance operational processes, develop medical technology infrastructure,
introduce high-quality services, acquire new technological skills, and coordinate
with government, universities, and other entities. These strategies aim to
improve the adaptation and integration of modern medical technology among
Ayurveda doctors, ultimately achieving the study's objectives and providing
actionable insights for policy and practice improvements.