English
17 (3) 2022
Ứng dụng mô hình chấp nhận và sử dụng công nghệ hợp nhất (UTAUT): Trường hợp sử dụng phần mềm quản lý văn bản của viên chức trường Đại học Quốc tế
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Trường Đại học Quốc tế, ĐHQG-HCM ,
Việt Nam
Ngày nộp: 26-06-2021
Ngày duyệt đăng: 15-07-2021 Ngày xuất bản: 10-09-2021
Tóm tắt
Từ khóa
Trích dẫn:
Nguyen, P. N. D., & Huynh, T. V. (2022). Ứng dụng mô hình chấp nhận và sử dụng công nghệ hợp nhất (UTAUT): Trường hợp sử dụng phần mềm quản lý văn bản của viên chức trường Đại học Quốc tế [An application of Unified Technology Acceptance Use of Technology (UTAUT): The case of Portal Office system by officials of the International University]. Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh – Kinh tế và Quản trị Kinh doanh, 17(3), 103-120. doi:10.46223/HCMCOUJS.econ.vi.17.3.1966.2022
Tài liệu tham khảo
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior & Human Decision Processes, 50(2), 179-211.
Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams, M. D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145-157.
Arenas, G., Peral, P., & Ramón, J. M. (2015). Elderly and internet banking: An application of UTAUT2. Journal of Internet Banking & Commerce, 20(1), 1-23.
Bộ Nội Vụ. (2019). Báo cáo số 6466/BC-BNV ngày 24/12/2019 của Bộ Nội vụ về tình hình thực hiện công tác cải cách hành chính năm 2019 [Report No. 6466/BC-BNV dated December 24, 2019 of the Ministry of Home Affairs of the Socialist Republic of Vietnam on the implementation of administrative reform in 2019]. Truy cập ngày 24/12/2019 tại https://moha.gov.vn/danh-muc/bao-cao-so-6466-bc-bnv-ngay-24-12-2019-cua-bo-noi-vu-ve-tinh-hinh-thuc-hien-cong-tac-cai-cach-hanh-chinh-nam-2019-41443.html
Bộ Y Tế. (2020). Ministry of health portal. Truy cập ngày 11/03/2020 tại https://moh.gov.vn/tin-tong-hop/-/asset_publisher/k206Q9qkZOqn/content/thu-tuong-chi-thi-ay-manh-phong-chong-dich-covid-19-trong-tinh-hinh-moi
Chan, S. C. (2004). Understanding internet banking adoption and use behavior: A Hong Kong perspective. Journal of Global Information Management, 12(3), 21-43.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. New York, NY: Academic Press.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. (Doctoral dissertation, Massachusetts Institute of Technology, Cambridge, MA). Truy cập ngày 30/05/2020 tại https://www.researchgate.net/publication/35465050_A_Technology_Acceptance_Model_for_Empirically_Testing_New_End-User_Information_Systems
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-machine Studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Doll, W. J., Hendrickson, A., & Deng, X. (1998). Using Davis’s perceived usefulness and ease of use instruments for decision making: A confirmatory and multigroup invariance analysis. Decision Science, 29(4), 839-870.
Gefen, D., & Straub, D. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of The Association for Information Systems, 1(8), 1-30.
Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107.
Gia Huy (2021). Chính phủ số tại Việt Nam sẽ được hình thành vào năm 2025 [Digital government in Vietnam will be formed by 2025]. Truy cập ngày 10/03/2021 tại Văn phòng Chính phủ (Government Office) website: http://vpcp.chinhphu.vn/Home/Chinh-phu-so-tai-Viet-Nam-se-duoc-hinh-thanh-vao-nam-2025/20213/29655.vgp
Gorsuch, R. L. (1974). Factor analysis. Philadelphia, Pennsylvania: W.B. Saunders Co.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate data analysis. Hoboken, NJ: Prentice Hall.
Hair, J. F., Hollingsworth, C. L., Randolph, A. B., & Chong, A. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
Hair, J. F., Hult, G. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
Hidayanto, A. N., & Ekawati, R. K. (2010). The influence of antecedent factors of IS/IT utilization towards organizational performance: A case study of IAIN Raden Fatah Palembang. Proceeding of the 3rd International Conference on Information and Communication Technology for the Moslem World (ICT4M), 40-47. doi:10.1109/ICT4M.2010.5971937
Hill, T., Smith, N. D., & Mann, M. F. (1987). Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. Journal of Applied Psychology, 72(2), 307-313.
Hsu, C. L., & Lu, H. P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868.
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption: Testing the UTAUT model. Information & Management, 48(1), 1-8.
Israel, G. D. (1992). Determining sample size. Truy cập ngày 11/03/2021 tại https://www.psycholosphere.com/Determining%20sample%20size%20by%20Glen%20Israel.pdf
Kardes, F., & Cronley, M. (2015). Consumer behavior. Stamford, CT: Cengage Learning.
Khan, M. A. (2007). Consumer behaviour and advertising management. Daryaganj, New Delhi: New Age International.
Kim, H. W., & Kankanhalli, A. (2009). Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quarterly, 33(3), 567-582.
Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755.
Kim, S. S., Malhotra, N. K., & Narasimhan, S. (2005). Research note - two competing perspectives on automatic use: A theoretical and empirical comparison. Information Systems Research, 16(4), 418-432.
Kline, P. (2014). An easy guide to factor analysis. Abingdon, Oxfordshire: Routledge.
Lederer, A. L., Maupin, D. J., Sena, M. P., & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of Psychology, 22(140), 1-55.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31(4), 705-737.
Lippert, S. K., & Davis, M. (2006). A conceptual model integrating trust into planned change activities to enhance technology adoption behavior. Journal of Information Science, 32(5), 434-448.
Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information and Management, 38(4), 217-230.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.
Nguyen, T. D., Nguyen, D. T., & Cao, H. T. (2014). Acceptance and use of information system: E-learning based on cloud computing in Vietnam. In Information and Communication Technology-EurAsia Conference (pp.139-149). Berlin, Heidelberg: Springer.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York, NY: McGraw-Hill.
Peng, D. X., & Lai, F. (2012). Using partial least squares in operations management research: A practical guideline and summary of past research. Journal of Operations Management, 30(6), 467-480.
Pham, T., Dang, L., & Le, T. (2020). Factors affecting teachers’ behavioral intention of using information technology in lecturing-economic universities. Management Science Letters, 10(11), 2665-2672.
Raman, A., & Don, Y. (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A critical look at the use of PLS-SEM in MIS. MIS Quarterly, 36(1), 3-14.
Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617-1643.
Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factors analysis. MIS Quarterly, 17(4), 517-526.
Sharma, D. (2013). Resistance to Human Resource Information Systems (HRIS)-problem recognition, diagnosis, and positive intervention: A study on employee behavior and change management. Indian Journal of Applied Research, 3(1), 99-104.
Sosik, J. J., Kahai, S. S., & Piovoso, M. J. (2009). Silver bullet or voodoo statistics? A primer for using the partial least squares data analytic technique in group and organization research. Group & Organization Management, 34(1), 5-36.
Stone, M. (1974). Cross validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B (Methodological), 36(2), 111-133.
Tapanainen, T., Dao, K. T., Nguyen, H. T., & Nguyen, H. T. T. (2019). 4G adoption: A survey of Vietnam market. Journal of Information Technology Applications & Management, 26(1), 1-19.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 2432-2440.
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and use of technology: US vs. China. Journal of Global Information Technology Management, 13(1), 5-27.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178.
Wang, M. H. (2016). Factors influencing usage of e-learning systems in Taiwan's public sector: Applying the utaut model. Advances in Management and Applied Economics, 6(6), 63-82.
Warshaw, P. R., & Davis, F. D. (1985). Disentangling behavioral intention and behavioral expectation. Journal of Experimental Social Psychology, 21(3), 213-228.
Wong, K. T., Teo, T., & Russo, S. (2013). Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers. The Asia-Pacific Education Researcher, 22(1), 1-10.
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