How to cite this paper
Martono, S., Mukhibad, H., Anisykurlillah, I & Nurkhin, A. (2020). Evaluation of acceptance of information systems in state university with theory of planned behavior and theory of acceptance model approaches.Management Science Letters , 10(14), 3225-3234.
Refrences
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Ajzen, I. (2015). Consumer attitudes and behavior: the theory of planned behavior applied to food consumption decisions. Rivista Di Economia Agraria, 70(2), 121–138. https://doi.org/10.13128/REA-18003
Al-Tit, A. A. (2016). Management Information Systems in Public Institutions in Jordan. International Journal of Advanced Computer Science and Applications, 7(7), 457–463. https://doi.org/10.14569/ijacsa.2016.070763
Alshare, K. A., Alomari, M. K., Lane, P. L., & Freeze, R. D. (2019). Development and determinants of end-user intention : usage of expert systems. https://doi.org/10.1108/JSIT-08-2018-0108
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning. Journal of Research in Innovative Teaching & Learning, 11(2), 178–191. https://doi.org/10.1108/jrit-03-2017-0004
Choudhury, V., Karahanna, E., & Dumm, R. (2006). The relative advantage of electronic channels: A conceptual and operational definition. Mis Quarterly, 30(1), 115–143.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
DeLone, W. H., & McLean, E. R. (1992). Information System Success : The Quest for the Dependent Variable. Information System Research, 3(1), 60–95. https://doi.org/https://doi.org/10.1287/isre.3.1.60
DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. In Foundations and Trends in Information Systems (Vol. 2). https://doi.org/10.1561/2900000005
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task - technology fit constructs. Information & Management, 36, 9–21.
Farah, M. F. (2017). Application of the theory of planned behavior to customer switching intentions in the context of bank consolidations. International Journal of Bank Marketing, 35(1), 147–172. https://doi.org/10.1108/IJBM-01-2016-0003
Fisher, J. (2001). User Satisfaction and System Success: considering the development team. Australasian Journal of Information Systems, 9(1), 21–30. https://doi.org/10.3127/ajis.v9i1.224
Gopi, M., & Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348–360. https://doi.org/10.1108/17468800710824509
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance, 35(October 2015), 644–649. https://doi.org/10.1016/s2212-5671(16)00079-4
Hasbullah, N., Mahajar, A., & Salleh, M. (2014). A conceptual framework of extending the theory of planned behavior: the role of service quality and trust in the consumer cooperatives. International Journal of Business and Social Science, 5(12), 142–148.
Hashim, K. F., & Tan, F. B. (2018). Examining the determinant factors of perceived online community usefulness using the expectancy value model. Journal of Systems and Information Technology, 20(2), 152–167. https://doi.org/10.1108/JSIT-11-2016-0068
Ha, N., & Nguyen, T. (2019). The effect of trust on consumers’ online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy. Cogent Business and Management, 5(1), 1–22. https://doi.org/10.1080/23311975.2018.1459006
Jang, J., & Kim, J. (2006). Influence of Hotel Information System Quality on System Use and User Satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 7(3), 604–714. https://doi.org/10.1300/J162v07n03
Javidnia, M., & Nasiri, S. (2012). Identifying factors affecting acceptance of new technology in the industry using hybrid model of UTAUT and FUZZY DEMATEL. Management Science Letters, 2(7), 2383-2392.
Lada, S., Harvey Tanakinjal, G., & Amin, H. (2009). Predicting intention to choose halal products using theory of reasoned action. International Journal of Islamic and Middle Eastern Finance and Management, 2(1), 66–76. https://doi.org/10.1108/17538390910946276
Li, E. Y. (1997). Perceived importance of information system success factors: A meta analysis of group differences. Information and Management, 32(1), 15–28. https://doi.org/10.1016/S0378-7206(97)00005-0
Lipaj, D., & Davidavičienė, V. (2013). Influence of information Systems on Business Performance. Mokslas - Lietuvos Ateitis, 5(1), 38–45. https://doi.org/10.3846/mla.2013.06
Mohamed Ali, B., & Younes, B. (2013). The impact of ERP system on user performance. Journal of Theoretical and Applied Information Technology, 52(3), 325–342.
Olugbode, M., Elbeltagi, I., Simmons, M., & Biss, T. (2008). The effect of information systems on firm performance and profitability using a case-study approach. The Electronic Journal Information Systems Evaluation, 11(1), 11–16.
Omotayo, F. O., & Chigbundu, M. C. (2017). Use of information and communication technologies for administration and management of schools in Nigeria. Journal of Systems and Information Technology, 19(3/4), 183–201. https://doi.org/10.1108/JSIT-06-2017-0045
Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of tech-nology (UTAUT) in internet banking adoption context. Management Science Letters, 8(3), 173-186.
Samadi, S. (2018). Theory of planned behavior and knowledge sharing among nurses in patient computer management system: The role of distributive justice. Management Science Letters, 8(5), 427-436.
Smedley, J. W., & Bayton, J. A. (1983). Categories of attitudes toward behavior and the attitude-behavior relationship. Journal of Psychology: Interdisciplinary and Applied, 113(2), 277–282. https://doi.org/10.1080/00223980.1983.9923587
Solimun, & Fernandes, A. A. R. (2017). Metode Statistika Multivariat Pemodelan Persamaan Struktural (SEM) Pendekatan WarpPLS (2nd ed.). Malang: UB Press.
Taher, A. P. (2016, December). Rapor Merah Pelayanan Publik di Indonesia. Https://Tirto.Id/, 1–4. Retrieved from https://tirto.id/rapor-merah-pelayanan-publik-di-indonesia-b8zr
Torkestani, M. S., Nader, M., & Haghighat, F. (2014). The relationship between information systems success, organizational learning and performance of insurance companies. International Journal of Bussines and Social Science, 5(10), 125–132.
Urbach, N., & Müller, B. (2012). Integrated Series in Information System: Information System Theory. Integrated Series in Information Systems, 28, 1–18. https://doi.org/10.1007/978-1-4419-6108-2
Vasarhelyi, M. (2017). Repositioning Accounting Information System Through Effective Data Quality Management : A Framework For Reducing Costs And Improving Performance. International Journal of Accounting Information System, 1(10), 86–94.
Wardhana, W. (2019, April). Sudah Hampir 20 Tahun Sistem Pengukuran Kinerja Diimplementasikan di Indonesia, Tapi Kenapa Kinerjanya Masih Rendah? Fe.Ugm.Ac.Id, 1–3. Retrieved from https://feb.ugm.ac.id/id/berita/2664-sudah-hampir-20-tahun-sistem-pengukuran-kinerja-diimplementasikan-di-indonesia-tapi-kenapa-kinerjanya-masih-rendah
Watchaton, A., & Krairit, D. (2018). Factors influencing organizational information systems implementation in Thai public universities. Journal of Systems and Information Technology, 21(1), 90–121. https://doi.org/10.1108/JSIT-07-2017-0054
Zaied, A. N. H. (2012). An Integrated Success Model for Evaluating Information System in Public Sectors. … of Emerging Trends in Computing and Information …, 3(6), 814–825. Retrieved from http://www.doaj.org/doaj?func=fulltext&aId=1093381
Ajzen, I. (2015). Consumer attitudes and behavior: the theory of planned behavior applied to food consumption decisions. Rivista Di Economia Agraria, 70(2), 121–138. https://doi.org/10.13128/REA-18003
Al-Tit, A. A. (2016). Management Information Systems in Public Institutions in Jordan. International Journal of Advanced Computer Science and Applications, 7(7), 457–463. https://doi.org/10.14569/ijacsa.2016.070763
Alshare, K. A., Alomari, M. K., Lane, P. L., & Freeze, R. D. (2019). Development and determinants of end-user intention : usage of expert systems. https://doi.org/10.1108/JSIT-08-2018-0108
Buabeng-Andoh, C. (2018). Predicting students’ intention to adopt mobile learning. Journal of Research in Innovative Teaching & Learning, 11(2), 178–191. https://doi.org/10.1108/jrit-03-2017-0004
Choudhury, V., Karahanna, E., & Dumm, R. (2006). The relative advantage of electronic channels: A conceptual and operational definition. Mis Quarterly, 30(1), 115–143.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
DeLone, W. H., & McLean, E. R. (1992). Information System Success : The Quest for the Dependent Variable. Information System Research, 3(1), 60–95. https://doi.org/https://doi.org/10.1287/isre.3.1.60
DeLone, W. H., & McLean, E. R. (2016). Information Systems Success Measurement. In Foundations and Trends in Information Systems (Vol. 2). https://doi.org/10.1561/2900000005
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task - technology fit constructs. Information & Management, 36, 9–21.
Farah, M. F. (2017). Application of the theory of planned behavior to customer switching intentions in the context of bank consolidations. International Journal of Bank Marketing, 35(1), 147–172. https://doi.org/10.1108/IJBM-01-2016-0003
Fisher, J. (2001). User Satisfaction and System Success: considering the development team. Australasian Journal of Information Systems, 9(1), 21–30. https://doi.org/10.3127/ajis.v9i1.224
Gopi, M., & Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348–360. https://doi.org/10.1108/17468800710824509
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention to Use E-Government. Procedia Economics and Finance, 35(October 2015), 644–649. https://doi.org/10.1016/s2212-5671(16)00079-4
Hasbullah, N., Mahajar, A., & Salleh, M. (2014). A conceptual framework of extending the theory of planned behavior: the role of service quality and trust in the consumer cooperatives. International Journal of Business and Social Science, 5(12), 142–148.
Hashim, K. F., & Tan, F. B. (2018). Examining the determinant factors of perceived online community usefulness using the expectancy value model. Journal of Systems and Information Technology, 20(2), 152–167. https://doi.org/10.1108/JSIT-11-2016-0068
Ha, N., & Nguyen, T. (2019). The effect of trust on consumers’ online purchase intention: An integration of TAM and TPB. Management Science Letters, 9(9), 1451-1460.
He, Y., Chen, Q., & Kitkuakul, S. (2018). Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy. Cogent Business and Management, 5(1), 1–22. https://doi.org/10.1080/23311975.2018.1459006
Jang, J., & Kim, J. (2006). Influence of Hotel Information System Quality on System Use and User Satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 7(3), 604–714. https://doi.org/10.1300/J162v07n03
Javidnia, M., & Nasiri, S. (2012). Identifying factors affecting acceptance of new technology in the industry using hybrid model of UTAUT and FUZZY DEMATEL. Management Science Letters, 2(7), 2383-2392.
Lada, S., Harvey Tanakinjal, G., & Amin, H. (2009). Predicting intention to choose halal products using theory of reasoned action. International Journal of Islamic and Middle Eastern Finance and Management, 2(1), 66–76. https://doi.org/10.1108/17538390910946276
Li, E. Y. (1997). Perceived importance of information system success factors: A meta analysis of group differences. Information and Management, 32(1), 15–28. https://doi.org/10.1016/S0378-7206(97)00005-0
Lipaj, D., & Davidavičienė, V. (2013). Influence of information Systems on Business Performance. Mokslas - Lietuvos Ateitis, 5(1), 38–45. https://doi.org/10.3846/mla.2013.06
Mohamed Ali, B., & Younes, B. (2013). The impact of ERP system on user performance. Journal of Theoretical and Applied Information Technology, 52(3), 325–342.
Olugbode, M., Elbeltagi, I., Simmons, M., & Biss, T. (2008). The effect of information systems on firm performance and profitability using a case-study approach. The Electronic Journal Information Systems Evaluation, 11(1), 11–16.
Omotayo, F. O., & Chigbundu, M. C. (2017). Use of information and communication technologies for administration and management of schools in Nigeria. Journal of Systems and Information Technology, 19(3/4), 183–201. https://doi.org/10.1108/JSIT-06-2017-0045
Rahi, S., Ghani, M., Alnaser, F., & Ngah, A. (2018). Investigating the role of unified theory of acceptance and use of tech-nology (UTAUT) in internet banking adoption context. Management Science Letters, 8(3), 173-186.
Samadi, S. (2018). Theory of planned behavior and knowledge sharing among nurses in patient computer management system: The role of distributive justice. Management Science Letters, 8(5), 427-436.
Smedley, J. W., & Bayton, J. A. (1983). Categories of attitudes toward behavior and the attitude-behavior relationship. Journal of Psychology: Interdisciplinary and Applied, 113(2), 277–282. https://doi.org/10.1080/00223980.1983.9923587
Solimun, & Fernandes, A. A. R. (2017). Metode Statistika Multivariat Pemodelan Persamaan Struktural (SEM) Pendekatan WarpPLS (2nd ed.). Malang: UB Press.
Taher, A. P. (2016, December). Rapor Merah Pelayanan Publik di Indonesia. Https://Tirto.Id/, 1–4. Retrieved from https://tirto.id/rapor-merah-pelayanan-publik-di-indonesia-b8zr
Torkestani, M. S., Nader, M., & Haghighat, F. (2014). The relationship between information systems success, organizational learning and performance of insurance companies. International Journal of Bussines and Social Science, 5(10), 125–132.
Urbach, N., & Müller, B. (2012). Integrated Series in Information System: Information System Theory. Integrated Series in Information Systems, 28, 1–18. https://doi.org/10.1007/978-1-4419-6108-2
Vasarhelyi, M. (2017). Repositioning Accounting Information System Through Effective Data Quality Management : A Framework For Reducing Costs And Improving Performance. International Journal of Accounting Information System, 1(10), 86–94.
Wardhana, W. (2019, April). Sudah Hampir 20 Tahun Sistem Pengukuran Kinerja Diimplementasikan di Indonesia, Tapi Kenapa Kinerjanya Masih Rendah? Fe.Ugm.Ac.Id, 1–3. Retrieved from https://feb.ugm.ac.id/id/berita/2664-sudah-hampir-20-tahun-sistem-pengukuran-kinerja-diimplementasikan-di-indonesia-tapi-kenapa-kinerjanya-masih-rendah
Watchaton, A., & Krairit, D. (2018). Factors influencing organizational information systems implementation in Thai public universities. Journal of Systems and Information Technology, 21(1), 90–121. https://doi.org/10.1108/JSIT-07-2017-0054
Zaied, A. N. H. (2012). An Integrated Success Model for Evaluating Information System in Public Sectors. … of Emerging Trends in Computing and Information …, 3(6), 814–825. Retrieved from http://www.doaj.org/doaj?func=fulltext&aId=1093381