Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance o...

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Main Authors: Yogi Tri Prasetyo, Ralph Andre C. Roque, Thanatorn Chuenyindee, Michael Nayat Young, John Francis T. Diaz, Satria Fadil Persada, Bobby Ardiansyah Miraja, Anak Agung Ngurah Perwira Redi
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/9/7/780
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author Yogi Tri Prasetyo
Ralph Andre C. Roque
Thanatorn Chuenyindee
Michael Nayat Young
John Francis T. Diaz
Satria Fadil Persada
Bobby Ardiansyah Miraja
Anak Agung Ngurah Perwira Redi
author_facet Yogi Tri Prasetyo
Ralph Andre C. Roque
Thanatorn Chuenyindee
Michael Nayat Young
John Francis T. Diaz
Satria Fadil Persada
Bobby Ardiansyah Miraja
Anak Agung Ngurah Perwira Redi
author_sort Yogi Tri Prasetyo
collection DOAJ
description eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.
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spelling doaj.art-a42261de47d3467fa9e0e22ac8448a422023-11-22T01:06:25ZengMDPI AGHealthcare2227-90322021-06-019778010.3390/healthcare9070780Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 ApproachYogi Tri Prasetyo0Ralph Andre C. Roque1Thanatorn Chuenyindee2Michael Nayat Young3John Francis T. Diaz4Satria Fadil Persada5Bobby Ardiansyah Miraja6Anak Agung Ngurah Perwira Redi7School of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesSchool of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesSchool of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesSchool of Industrial Engineering and Engineering Management, Mapua University, 658 Muralla St., Intramuros, Manila 1002, PhilippinesDepartment of Finance and Accounting, Asian Institute of Management, 123 Paseo de Roxas, Legazpi Village, Makati 1229, PhilippinesDepartment of Business Management, Institut Teknologi Sepuluh November, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaDepartment of Business Management, Institut Teknologi Sepuluh November, Kampus ITS Sukolilo, Surabaya 60111, IndonesiaIndustrial Engineering Department, BINUS Graduate Program—Master of Industrial Engineering, Bina Nusantara University, Jakarta 11480, IndonesiaeLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.https://www.mdpi.com/2227-9032/9/7/780UTAUT2structural equation modelingmedical educationeLearning platform
spellingShingle Yogi Tri Prasetyo
Ralph Andre C. Roque
Thanatorn Chuenyindee
Michael Nayat Young
John Francis T. Diaz
Satria Fadil Persada
Bobby Ardiansyah Miraja
Anak Agung Ngurah Perwira Redi
Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
Healthcare
UTAUT2
structural equation modeling
medical education
eLearning platform
title Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_full Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_fullStr Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_full_unstemmed Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_short Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach
title_sort determining factors affecting the acceptance of medical education elearning platforms during the covid 19 pandemic in the philippines utaut2 approach
topic UTAUT2
structural equation modeling
medical education
eLearning platform
url https://www.mdpi.com/2227-9032/9/7/780
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