How to cite this paper
Chayomchai, A., Phonsiri, W., Junjit, A., Boongapim, R & Suwannapusit, U. (2020). Factors affecting acceptance and use of online technology in Thai people during COVID-19 quarantine time.Management Science Letters , 10(13), 3009-3016.
Refrences
Abrahao, R. S., Moriguchi, S. N., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the unified theory of acceptance and use of technology (UTAUT). Revista de Administracao e Inovacao, 13, 221-230.
Abubakar, F. M. & Ahmad, H. B. (2013). The moderating effect of technology awareness on the relationship between UTAUT constructs and behavioral intention to use technology: A conceptual paper. Australian Journal of Business and Management Research, 3(2), 14-23.
Acharya, V., Junare, S. O., & Gadhavi, D. D. (2019). E-payment: Buzz word or reality. International Journal of Recent Technology and Engineering, 8(3S2), 397-404.
Alwahaishi, S. & Snasel, V. (2013). Consumers’ acceptance and use of information and communications technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61-73.
An, L., Han, Y., & Tong, L. (2016). Study on the factors of online shopping intention for fresh agricultural products based on UTAUT2. The 2nd Information Technology and Mechatronics Engineering Conference, 303-306.
Bervell, B., & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogenous variables in higher education technology acceptance research. EURASIA Journal of Mathematics Science and Technol-ogy Education, 13(10), 6471-6490.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14.
Cochran, W. G. (1977). Sampling techniques. (3rd ed.). New York: John Willey and Sons.
Emergency Operation Center, Department of Disease Control, Ministry of Public Health of Thailand. (2020). The corona-virus disease 2019 news release. Retrieved April 21, 2020, from https://ddc.moph.go.th/viralpneumonia/eng/file/news/news_no86_200463.pdf
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivaliate data analysis. (7th ed.). US: Pearson Educa-tion.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. (2nd ed.). Thousand Oaks: Sage.
Henseler, J. F., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.
Huang, C. Y., & Kao, Y. S. (2015). UTAUT2 based predictions of factors influencing the technology acceptance of pha-blets by DNP. Mathematical Problems in Engineering, 1-23.
Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and technology type on users’ acceptance of technolo-gies. Information and Management, 45, 1-9.
Khechine, H., Lakhal, S., Pascot, D., & Bytha, A. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33-52.
Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The effect of trust, perceived risk and security on the adoption of mobile banking in Morocco. The 20th International Conference on Enterprise Information Systems, 497-502.
Lee, J. H. & Song, C. H. (2013). Effect of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality, 41(4), 587-598.
Liebana-Cabanillas, F., Sanchez-Fernandez, J., & Munoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Liu, D., Maimaitijiang, R., Gu, J., Zhong, S., Zhou, M., Wu, Z., Luo, A., Lu, C., & Hao, Y. (2019). Using the unified theo-ry of acceptance and use of technology (UTAUT) to investigate the intention to use physical activity apps: Cross-sectional survey. JMIR Mhealth Uhealth, 7(9), e13127.
Mandal, D. & McQueen, R. J. (2012). Extending UTAUT to explain social media adoption by microbusinesses. Interna-tional Journal of Managing Information Technology, 4(4), 1-11.
Marchewka, J. T., & Kostowa, K. (2007). An application of the UTAUT model for understanding student perceptions us-ing course management software. Communications of the IIMA, 7(2), 93-104.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com.
Salim, B. (2012). An application of UTAUT model for acceptance of social media in Egypt: A statistical study. Interna-tional Journal of Information Science, 2(6), 92-105.
Tan, P. J. B. (2013). Applying the UTAUT to understand factors affecting the use of English w-learning websites in Tai-wan. SAGE Open, October-December, 1-12.
Thomas, T. D., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communica-tion Technology, 9(3), 71-85.
Turan, A., Tunc, A. O., & Zehir, C. (2015). A theoretical model proposal: Personal innovativeness and user involvement as antecedents of unified theory of acceptance and use of technology. Procedia–Social and Behavioral Sciences, 210, 43-51.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.
World Health Organization. (2020). Coronavirus disease 2019 (COVID-19): Situation Report-91. Retrieved April 21, 2020, from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200420-sitrep-91-covid-19.pdf?sfvrsn=fcf0670b_4
World Health Organization Thailand. (2020). Novel coronavirus (COVID-19). Retrieved April 21, 2020, from https://www.who.int/thailand/emergencies/novel-coronavirus-2019
Zhou, L. L., Owusu-Marfo, J., Antwi, H. A., Antwi, M. O., Kachie, A. D. T., & Ampon-Wireko, S. (2019). Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electric information manage-ment systems (HEIMS) in Ghana: Using the unified theory of acceptance and use of technology (UTAUT) model. BMC Medical Informatics and Decision Making, 19, 1-9.
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32, 429-440.
Abubakar, F. M. & Ahmad, H. B. (2013). The moderating effect of technology awareness on the relationship between UTAUT constructs and behavioral intention to use technology: A conceptual paper. Australian Journal of Business and Management Research, 3(2), 14-23.
Acharya, V., Junare, S. O., & Gadhavi, D. D. (2019). E-payment: Buzz word or reality. International Journal of Recent Technology and Engineering, 8(3S2), 397-404.
Alwahaishi, S. & Snasel, V. (2013). Consumers’ acceptance and use of information and communications technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61-73.
An, L., Han, Y., & Tong, L. (2016). Study on the factors of online shopping intention for fresh agricultural products based on UTAUT2. The 2nd Information Technology and Mechatronics Engineering Conference, 303-306.
Bervell, B., & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of exogenous variables in higher education technology acceptance research. EURASIA Journal of Mathematics Science and Technol-ogy Education, 13(10), 6471-6490.
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1-14.
Cochran, W. G. (1977). Sampling techniques. (3rd ed.). New York: John Willey and Sons.
Emergency Operation Center, Department of Disease Control, Ministry of Public Health of Thailand. (2020). The corona-virus disease 2019 news release. Retrieved April 21, 2020, from https://ddc.moph.go.th/viralpneumonia/eng/file/news/news_no86_200463.pdf
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivaliate data analysis. (7th ed.). US: Pearson Educa-tion.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. (2nd ed.). Thousand Oaks: Sage.
Henseler, J. F., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135.
Huang, C. Y., & Kao, Y. S. (2015). UTAUT2 based predictions of factors influencing the technology acceptance of pha-blets by DNP. Mathematical Problems in Engineering, 1-23.
Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and technology type on users’ acceptance of technolo-gies. Information and Management, 45, 1-9.
Khechine, H., Lakhal, S., Pascot, D., & Bytha, A. (2014). UTAUT model for blended learning: The role of gender and age in the intention to use webinars. Interdisciplinary Journal of E-Learning and Learning Objects, 10, 33-52.
Lafraxo, Y., Hadri, F., Amhal, H., & Rossafi, A. (2018). The effect of trust, perceived risk and security on the adoption of mobile banking in Morocco. The 20th International Conference on Enterprise Information Systems, 497-502.
Lee, J. H. & Song, C. H. (2013). Effect of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality, 41(4), 587-598.
Liebana-Cabanillas, F., Sanchez-Fernandez, J., & Munoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Liu, D., Maimaitijiang, R., Gu, J., Zhong, S., Zhou, M., Wu, Z., Luo, A., Lu, C., & Hao, Y. (2019). Using the unified theo-ry of acceptance and use of technology (UTAUT) to investigate the intention to use physical activity apps: Cross-sectional survey. JMIR Mhealth Uhealth, 7(9), e13127.
Mandal, D. & McQueen, R. J. (2012). Extending UTAUT to explain social media adoption by microbusinesses. Interna-tional Journal of Managing Information Technology, 4(4), 1-11.
Marchewka, J. T., & Kostowa, K. (2007). An application of the UTAUT model for understanding student perceptions us-ing course management software. Communications of the IIMA, 7(2), 93-104.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www.smartpls.com.
Salim, B. (2012). An application of UTAUT model for acceptance of social media in Egypt: A statistical study. Interna-tional Journal of Information Science, 2(6), 92-105.
Tan, P. J. B. (2013). Applying the UTAUT to understand factors affecting the use of English w-learning websites in Tai-wan. SAGE Open, October-December, 1-12.
Thomas, T. D., Singh, L., & Gaffar, K. (2013). The utility of the UTAUT model in explaining mobile learning adoption in higher education in Guyana. International Journal of Education and Development using Information and Communica-tion Technology, 9(3), 71-85.
Turan, A., Tunc, A. O., & Zehir, C. (2015). A theoretical model proposal: Personal innovativeness and user involvement as antecedents of unified theory of acceptance and use of technology. Procedia–Social and Behavioral Sciences, 210, 43-51.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376.
World Health Organization. (2020). Coronavirus disease 2019 (COVID-19): Situation Report-91. Retrieved April 21, 2020, from https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200420-sitrep-91-covid-19.pdf?sfvrsn=fcf0670b_4
World Health Organization Thailand. (2020). Novel coronavirus (COVID-19). Retrieved April 21, 2020, from https://www.who.int/thailand/emergencies/novel-coronavirus-2019
Zhou, L. L., Owusu-Marfo, J., Antwi, H. A., Antwi, M. O., Kachie, A. D. T., & Ampon-Wireko, S. (2019). Assessment of the social influence and facilitating conditions that support nurses’ adoption of hospital electric information manage-ment systems (HEIMS) in Ghana: Using the unified theory of acceptance and use of technology (UTAUT) model. BMC Medical Informatics and Decision Making, 19, 1-9.
Zuiderwijk, A., Janssen, M., & Dwivedi, Y. K. (2015). Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology. Government Information Quarterly, 32, 429-440.