Using a Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model to Assess Radiologic Technology Educators' Intentions Toward Virtual Technology Use as a Result of the COVID-19 Pandemic

ABSTRACT

A quantitative cross-sectional survey design was utilized to evaluate a combined model utilizing the theory of planned behavior and the technology acceptance model to investigate continuance intentions for virtual technology use (CITU) by United States radiologic science educators as a result of the COVID-19 pandemic. A total of 255 participants completed an online survey through Qualtrics. Results found that the overall regression model was statistically significant (F5, 230 = 59.167, p < .001) and explained about 56% of the variance in CITU (R² = .563, Adj. R² = .553). Attitude was the strongest predictor and mediated the effects of other predictors on CITU. Radiologic sciences educators with more positive attitudes toward using virtual technology, higher actual utilization, and more perceived usefulness were more likely to report higher intentions to continue technology use. The combined model was found to be an effective tool for measuring educators' CITU.