How to cite this paper
Siregar, I., Marifataini, L., Tarif, T., Suprapto, S., An-Nahidl, N., Habibah, N., Sopandi, E., Salman, I & Munawiroh, M. (2022). The role of motivation of unified theory acceptance, use of technology model and innovation dif-fusion theory on e-learning intention of SMEs employee.International Journal of Data and Network Science, 6(4), 1055-1064.
Refrences
Abbad, M. M. (2021). Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205-7224.
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, 101293.
Altalhi, M. (2021). Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia. Education and Information Technologies, 26(2), 1589-1605.
Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L. (2021). The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context. Technological Forecasting and Social Change, 167, 120688.
Balakrishnan, J., Abed, S. S., & Jones, P. (2022). The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?. Technological Forecasting and Social Change, 180, 121692.
Bäuerle, A., Frewer, A. L., Rentrop, V., Schüren, L. C., Niedergethmann, M., Lortz, J., ... & Teufel, M. (2022). Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model. Nutrients, 14(9), 1968.
Blut, M., Chong, A., Tsiga, Z., & Venkatesh, V. (2021). Meta-analysis of the unified theory of acceptance and use of technology (UTAUT): challenging its validity and charting A research agenda in the red ocean. Journal of the Association for Information Systems, forthcoming.
Dwivedi, Y. K., Rana, N. P., Tamilmani, K., & Raman, R. (2020). A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature. Current opinion in psychology, 36, 13-18.
Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86-106.
Kayali, M., & Alaaraj, S. (2020). Adoption of cloud based E-learning in developing countries: a combination a of DOI, TAM and UTAUT. Int. J. Contemp. Manag. Inf. Technol, 1(1), 1-7.
Mahande, R. D., & Malago, J. D. (2019). An E-Learning Acceptance Evaluation through UTAUT Model in a Postgraduate Program. Journal of educators online, 16(2), n2.
Malanga, A. C. M., Bernardes, R. C., Borini, F. M., Pereira, R. M., & Rossetto, D. E. (2022). Towards integrating quality in theoretical models of acceptance: An extended proposed model applied to e‐learning services. British Journal of Educational Technology, 53(1), 8-22.
Mukred, M., Yusof, Z. M., Alotaibi, F. M., Asma’Mokhtar, U., & Fauzi, F. (2019). The key factors in adopting an electronic records management system (ERMS) in the educational sector: a UTAUT-based framework. IEEE Access, 7, 35963-35980.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
Raffaghelli, J. E., Rodríguez, M. E., Guerrero-Roldán, A. E., & Bañeres, D. (2022). Applying the UTAUT model to explain the students' acceptance of an early warning system in Higher Education. Computers & Education, 182, 104468.
Rentrop, V., Damerau, M., Schweda, A., Steinbach, J., Schüren, L. C., Niedergethmann, M., ... & Bäuerle, A. (2022). Predicting Acceptance of e–Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study. JMIR formative research, 6(3), e31229.
Salloum, S. A., & Shaalan, K. (2018, September). Factors affecting students’ acceptance of e-learning system in higher education using UTAUT and structural equation modeling approaches. In International conference on advanced intelligent systems and informatics (pp. 469-480). Springer, Cham.
Thongsri, N., Shen, L., Bao, Y., & Alharbi, I. M. (2018). Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country’s perspective. Journal of Systems and Information Technology, 20(3), 278-297.
Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of OperationsResearch, 308(1), 641-652.
Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. International Journal of Medical Informatics, 139, 104156.
Yang, C. C., Li, C. L., Yeh, T. F., & Chang, Y. C. (2022). Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology. International Journal of Environmental Research and Public Health, 19(9), 5403.
Yin, Z., Yan, J., Fang, S., Wang, D., & Han, D. (2022). User acceptance of wearable intelligent medical devices through a modified unified theory of acceptance and use of technology. Annals of Translational Medicine, 10(11).
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62, 101293.
Altalhi, M. (2021). Toward a model for acceptance of MOOCs in higher education: the modified UTAUT model for Saudi Arabia. Education and Information Technologies, 26(2), 1589-1605.
Arfi, W. B., Nasr, I. B., Kondrateva, G., & Hikkerova, L. (2021). The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context. Technological Forecasting and Social Change, 167, 120688.
Balakrishnan, J., Abed, S. S., & Jones, P. (2022). The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?. Technological Forecasting and Social Change, 180, 121692.
Bäuerle, A., Frewer, A. L., Rentrop, V., Schüren, L. C., Niedergethmann, M., Lortz, J., ... & Teufel, M. (2022). Determinants of Acceptance of Weight Management Applications in Overweight and Obese Individuals: Using an Extended Unified Theory of Acceptance and Use of Technology Model. Nutrients, 14(9), 1968.
Blut, M., Chong, A., Tsiga, Z., & Venkatesh, V. (2021). Meta-analysis of the unified theory of acceptance and use of technology (UTAUT): challenging its validity and charting A research agenda in the red ocean. Journal of the Association for Information Systems, forthcoming.
Dwivedi, Y. K., Rana, N. P., Tamilmani, K., & Raman, R. (2020). A meta-analysis based modified unified theory of acceptance and use of technology (meta-UTAUT): a review of emerging literature. Current opinion in psychology, 36, 13-18.
Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86-106.
Kayali, M., & Alaaraj, S. (2020). Adoption of cloud based E-learning in developing countries: a combination a of DOI, TAM and UTAUT. Int. J. Contemp. Manag. Inf. Technol, 1(1), 1-7.
Mahande, R. D., & Malago, J. D. (2019). An E-Learning Acceptance Evaluation through UTAUT Model in a Postgraduate Program. Journal of educators online, 16(2), n2.
Malanga, A. C. M., Bernardes, R. C., Borini, F. M., Pereira, R. M., & Rossetto, D. E. (2022). Towards integrating quality in theoretical models of acceptance: An extended proposed model applied to e‐learning services. British Journal of Educational Technology, 53(1), 8-22.
Mukred, M., Yusof, Z. M., Alotaibi, F. M., Asma’Mokhtar, U., & Fauzi, F. (2019). The key factors in adopting an electronic records management system (ERMS) in the educational sector: a UTAUT-based framework. IEEE Access, 7, 35963-35980.
Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144.
Rahi, S., Mansour, M. M. O., Alghizzawi, M., & Alnaser, F. M. (2019). Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy. Journal of Research in Interactive Marketing, 13(3), 411-435.
Raffaghelli, J. E., Rodríguez, M. E., Guerrero-Roldán, A. E., & Bañeres, D. (2022). Applying the UTAUT model to explain the students' acceptance of an early warning system in Higher Education. Computers & Education, 182, 104468.
Rentrop, V., Damerau, M., Schweda, A., Steinbach, J., Schüren, L. C., Niedergethmann, M., ... & Bäuerle, A. (2022). Predicting Acceptance of e–Mental Health Interventions in Patients With Obesity by Using an Extended Unified Theory of Acceptance Model: Cross-sectional Study. JMIR formative research, 6(3), e31229.
Salloum, S. A., & Shaalan, K. (2018, September). Factors affecting students’ acceptance of e-learning system in higher education using UTAUT and structural equation modeling approaches. In International conference on advanced intelligent systems and informatics (pp. 469-480). Springer, Cham.
Thongsri, N., Shen, L., Bao, Y., & Alharbi, I. M. (2018). Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country’s perspective. Journal of Systems and Information Technology, 20(3), 278-297.
Venkatesh, V. (2022). Adoption and use of AI tools: a research agenda grounded in UTAUT. Annals of OperationsResearch, 308(1), 641-652.
Wang, H., Tao, D., Yu, N., & Qu, X. (2020). Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. International Journal of Medical Informatics, 139, 104156.
Yang, C. C., Li, C. L., Yeh, T. F., & Chang, Y. C. (2022). Assessing Older Adults’ Intentions to Use a Smartphone: Using the Meta–Unified Theory of the Acceptance and Use of Technology. International Journal of Environmental Research and Public Health, 19(9), 5403.
Yin, Z., Yan, J., Fang, S., Wang, D., & Han, D. (2022). User acceptance of wearable intelligent medical devices through a modified unified theory of acceptance and use of technology. Annals of Translational Medicine, 10(11).