Factors affecting the adoption of technology on the use of online lessons in medical care courses
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Abstract
Lampang Boromrajonani College of Nursing, Lampang, Thailand. The researcher designed and developed an online learning media system based on the principles of software development life cycle (SDLC) and applied it to 116 fourth-year nursing students, divided into 4 males and 112 females, evaluated using a questionnaire on its utilization and technology acceptance regarding the theory of technology acceptance model (TAM). The independent variables were perceived usefulness and perceived ease of use, and the dependent variable was the intention to use. Data on satisfaction were analyzed using descriptive statistics, while data on technology adoption were analyzed using multiple regression analysis. Results indicated that the parameter on suitability of the media had an average of 4.56 + 0.56, indicating the highest satisfaction based on a 5-point scale. Moreover, the parameter on media efficiency had an average of 4.50 + 0.61, indicating high satisfaction based on a 5-point scale. For technology adoption, it could be summarized as the equation: Yt = 0.697 + 0.573X1 + 0.277X2 where Yt = technology adoption, X1 = p
erceived usefulness, and X2 = perceived ease of use with P-value = 0.000, and R2 = 0.567, indicating fair technology adoption among users.
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References
Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 13(3): 319–340.
Gerdruang, A., Khamchoo, C., and Phanwattanasakul, C. 2021. Guidelines for promoting learning in the 21st century of Thai higher education institutions. J. MCU Ubon Rev. 6(1): 781–790.
Himarat, T. 2016. Factors affecting the adoption of financial technology context. Master’s thesis. Thammasat University, Pathumthani.
Jebb, A. T., Ng, V., and Tay, L. 2021. A review of key Likert scale development advances: 1995–2019. Front. Psychol. 12: 637547.
Luenam, P. 2013. Concepts and evolution of technology acceptance model. Modern Mgmt. J. 9(1): 9–17.
Radack, S. 2009. The system development life cycle (sdlc) (No. ITL Bulletin April 2009 (Withdrawn). National Institute of Standards and Technology.
Sabbunyat, P. 2019. Factors affecting the adoption of Samsung Pay payment system technology for consumers in Thailand. Master’s thesis. Thammasat University, Pathumthani.
Yeemalee, N. 2017. The influence of perceived ease of use, perceived benefits and electronic word-of-mouth (E-word of mouth) on generation Y consumers’ intention to use a movie application and series in Bangkok. Master’s thesis. Bangkok University, Pathumthani.