How to cite this paper
Warsono, H., Yuwono, T & Putranti, I. (2023). Analyzing technology acceptance model for collaborative governance in public administration: Empirical evidence of digital governance and perceived ease of use.International Journal of Data and Network Science, 7(1), 41-48.
Refrences
Abu, F., Yunus, A. R., Majid, I. A., Jabar, J., Aris, A., Sakidin, H., & Ahmad, A. (2014). Technology Acceptance Model (TAM): Empowering smart customer to participate in electricity supply system. Journal of Technology Management and Technopreneurship (JTMT), 2(1).
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
Anandarajan, M., Simmers, C., & Igbaria, M. (2000). An exploratory investigation of the antecedents and impact of inter-net usage: An individual perspective. Behaviour & information technology, 19(1), 69-85.
APJII. (2017). Penetrasi & Perilaku Pengguna Internet Indonesia. Retrieved from https://apjii.or.id/downfile/file/survei2017-id.pdf
Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4), 192-204.
Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214.
Bloch, M., Blumberg, S., & Laartz J. (2012). Delivering large-scale IT projects on time, on budget, and on value. McKin-sey Digital. Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/delivering-large-scale-it-projects-on-time-on-budget-and-on-value
Cegarra, J. L. M., Navarro, J. G. C., & Pachón, J. R. C. (2014). Applying the technology acceptance model to a Spanish City Hall. International Journal of Information Management, 34(4), 437-445.
Chatzoglou, P., Chatzoudes, D., & Symeonidis, S. (2015, September). Factors affecting the intention to use e-Government services. In 2015 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 1489-1498). IEEE.
Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision sciences, 32(4), 699-719.
Chen, L. D., & Tan, J. (2004). Technology adaptation in e-commerce: key determinants of virtual stores ac-ceptance. European Management Journal, 22(1), 74-86.
Dada, D. (2006). The failure of E‐government in developing countries: A literature review. The electronic journal of in-formation systems in developing countries, 26(1), 1-10.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and Acceptance of Information Sistem Technology. MIS Quarterly, 13(3), 319-339.
Fathya, V. N., Viverita, V., Hati, S. R. H., & Astuti, R. D. (2022). Customer satisfaction with electronic public services: An 18 years of systematic literature review. International Review on Public and Nonprofit Marketing, 1-54.
Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions–insights from user-generated content on Twitter. Enterprise Infor-mation Systems, 13(6), 771-800.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of business research, 62(5), 565-571.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in human behavior, 80, 197-206.
Heeks, R. (2008). Benchmarking e-Government: Improving the national and international measurement, evaluation and comparison of e-Government. In Evaluating information systems (pp. 293-337). Routledge.
Helbig, N., Gil-García, J. R., & Ferro, E. (2009). Understanding the complexity of electronic government: Implications from the digital divide literature. Government information quarterly, 26(1), 89-97.
Huang, H. M., & Liaw, S. S. (2005). Exploring users' attitudes and intentions toward the web as a survey tool. Computers in human behavior, 21(5), 729-743.
Langa, G. Z., & Conradie, D. P. (2003). Perceptions and attitudes with regard to teleworking among public sector officials in Pretoria: applying the Technology Acceptance Model (TAM). South African Journal for Communication Theory and Research, 29(1/2), 280-296.
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197.
Mensah, I. K. (2020). Perceived usefulness and ease of use of mobile government services: The moderating impact of electronic word of month (eWOM). International Journal of Technology Diffusion (IJTD), 11(1), 1-16.
Moses, P., Wong, S. L., Bakar, K. A., & Mahmud, R. (2013). Perceived usefulness and perceived ease of use: Antecedents of attitude towards laptop use among science and mathematics teachers in Malaysia. The Asia-Pacific Education Re-searcher, 22(3), 293-299.
Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustain-able mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Napitupulu, D. (2017). A conceptual model of e-government adoption in Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 7(4), 1471-1478.
Noor, M. (2022). The effect of e-service quality on user satisfaction and loyalty in accessing e-government infor-mation. International Journal of Data and Network Science, 6(3), 945-952.
Nugroho, A. H., Bakar, A., & Ali, A. (2017). Analysis of technology acceptance model: Case study of Trave-loka. Arthatama, 1(1), 27-34.
O’cass, A., & Fenech, T. (2003). Web retailing adoption: exploring the nature of internet users Web retailing behav-iour. Journal of Retailing and Consumer services, 10(2), 81-94.
Ombudsman. (2018). Ombudsman: Masyarakat Memilih Urus Layanan Langsung Dibanding "Online". Retrieved from https://ombudsman.go.id/news/r/ombudsman-masyarakat-memilih-urus-layanan-langsung-dibanding-online
Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & management, 42(2), 317-327.
Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers’ intentions to use Web 2.0 technologies using decomposed theory of planned behavior. Journal of Research on Technology in Educa-tion, 45(2), 171-196.
Shaw, H., Ellis, D. A., & Ziegler, F. V. (2018). The Technology Integration Model (TIM). Predicting the continued use of technology. Computers in Human Behavior, 83, 204-214.
Townsend, A. M., Demarie, S. M., & Hendrickson, A. R. (2001). Desktop video conferencing in virtual workgroups: antic-ipation, system evaluation and performance. Information Systems Journal, 11(3), 213-227.
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model pre-dict actual use? A systematic literature review. Information and software technology, 52(5), 463-479.
Vărzaru, A. A., Bocean, C. G., Rotea, C. C., & Budică-Iacob, A. F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10(18), 2231.
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.
Weng, F., Yang, R. J., Ho, H. J., & Su, H. M. (2018). A TAM-based study of the attitude towards use intention of multi-media among school teachers. Applied system innovation, 1(3), 36.
Wirtz, B. W., Weyerer, J. C., & Rösch, M. (2018). Citizen and open government: an empirical analysis of antecedents of open government data. International Journal of Public Administration, 41(4), 308-320.
Yi, C., & Jiang, Z. (2007, July). The antecedents of online consumers’ perceived usefulness of website: A protocol analy-sis approach. In International Conference on Human-Computer Interaction (pp. 142-149). Springer, Berlin, Heidel-berg.
Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government infor-mation quarterly, 24(3), 646-665.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
Anandarajan, M., Simmers, C., & Igbaria, M. (2000). An exploratory investigation of the antecedents and impact of inter-net usage: An individual perspective. Behaviour & information technology, 19(1), 69-85.
APJII. (2017). Penetrasi & Perilaku Pengguna Internet Indonesia. Retrieved from https://apjii.or.id/downfile/file/survei2017-id.pdf
Belanche, D., Casaló, L. V., & Flavián, C. (2012). Integrating trust and personal values into the Technology Acceptance Model: The case of e-government services adoption. Cuadernos de Economía y Dirección de la Empresa, 15(4), 192-204.
Bhattacherjee, A. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214.
Bloch, M., Blumberg, S., & Laartz J. (2012). Delivering large-scale IT projects on time, on budget, and on value. McKin-sey Digital. Retrieved from https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/delivering-large-scale-it-projects-on-time-on-budget-and-on-value
Cegarra, J. L. M., Navarro, J. G. C., & Pachón, J. R. C. (2014). Applying the technology acceptance model to a Spanish City Hall. International Journal of Information Management, 34(4), 437-445.
Chatzoglou, P., Chatzoudes, D., & Symeonidis, S. (2015, September). Factors affecting the intention to use e-Government services. In 2015 Federated Conference on Computer Science and Information Systems (FedCSIS) (pp. 1489-1498). IEEE.
Chau, P. Y., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision sciences, 32(4), 699-719.
Chen, L. D., & Tan, J. (2004). Technology adaptation in e-commerce: key determinants of virtual stores ac-ceptance. European Management Journal, 22(1), 74-86.
Dada, D. (2006). The failure of E‐government in developing countries: A literature review. The electronic journal of in-formation systems in developing countries, 26(1), 1-10.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and Acceptance of Information Sistem Technology. MIS Quarterly, 13(3), 319-339.
Fathya, V. N., Viverita, V., Hati, S. R. H., & Astuti, R. D. (2022). Customer satisfaction with electronic public services: An 18 years of systematic literature review. International Review on Public and Nonprofit Marketing, 1-54.
Grover, P., Kar, A. K., Janssen, M., & Ilavarasan, P. V. (2019). Perceived usefulness, ease of use and user acceptance of blockchain technology for digital transactions–insights from user-generated content on Twitter. Enterprise Infor-mation Systems, 13(6), 771-800.
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of business research, 62(5), 565-571.
Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in human behavior, 80, 197-206.
Heeks, R. (2008). Benchmarking e-Government: Improving the national and international measurement, evaluation and comparison of e-Government. In Evaluating information systems (pp. 293-337). Routledge.
Helbig, N., Gil-García, J. R., & Ferro, E. (2009). Understanding the complexity of electronic government: Implications from the digital divide literature. Government information quarterly, 26(1), 89-97.
Huang, H. M., & Liaw, S. S. (2005). Exploring users' attitudes and intentions toward the web as a survey tool. Computers in human behavior, 21(5), 729-743.
Langa, G. Z., & Conradie, D. P. (2003). Perceptions and attitudes with regard to teleworking among public sector officials in Pretoria: applying the Technology Acceptance Model (TAM). South African Journal for Communication Theory and Research, 29(1/2), 280-296.
Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197.
Mensah, I. K. (2020). Perceived usefulness and ease of use of mobile government services: The moderating impact of electronic word of month (eWOM). International Journal of Technology Diffusion (IJTD), 11(1), 1-16.
Moses, P., Wong, S. L., Bakar, K. A., & Mahmud, R. (2013). Perceived usefulness and perceived ease of use: Antecedents of attitude towards laptop use among science and mathematics teachers in Malaysia. The Asia-Pacific Education Re-searcher, 22(3), 293-299.
Moslehpour, M., Pham, V. K., Wong, W. K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustain-able mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Napitupulu, D. (2017). A conceptual model of e-government adoption in Indonesia. International Journal on Advanced Science, Engineering and Information Technology, 7(4), 1471-1478.
Noor, M. (2022). The effect of e-service quality on user satisfaction and loyalty in accessing e-government infor-mation. International Journal of Data and Network Science, 6(3), 945-952.
Nugroho, A. H., Bakar, A., & Ali, A. (2017). Analysis of technology acceptance model: Case study of Trave-loka. Arthatama, 1(1), 27-34.
O’cass, A., & Fenech, T. (2003). Web retailing adoption: exploring the nature of internet users Web retailing behav-iour. Journal of Retailing and Consumer services, 10(2), 81-94.
Ombudsman. (2018). Ombudsman: Masyarakat Memilih Urus Layanan Langsung Dibanding "Online". Retrieved from https://ombudsman.go.id/news/r/ombudsman-masyarakat-memilih-urus-layanan-langsung-dibanding-online
Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & management, 42(2), 317-327.
Sadaf, A., Newby, T. J., & Ertmer, P. A. (2012). Exploring factors that predict preservice teachers’ intentions to use Web 2.0 technologies using decomposed theory of planned behavior. Journal of Research on Technology in Educa-tion, 45(2), 171-196.
Shaw, H., Ellis, D. A., & Ziegler, F. V. (2018). The Technology Integration Model (TIM). Predicting the continued use of technology. Computers in Human Behavior, 83, 204-214.
Townsend, A. M., Demarie, S. M., & Hendrickson, A. R. (2001). Desktop video conferencing in virtual workgroups: antic-ipation, system evaluation and performance. Information Systems Journal, 11(3), 213-227.
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model pre-dict actual use? A systematic literature review. Information and software technology, 52(5), 463-479.
Vărzaru, A. A., Bocean, C. G., Rotea, C. C., & Budică-Iacob, A. F. (2021). Assessing antecedents of behavioral intention to use mobile technologies in e-commerce. Electronics, 10(18), 2231.
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.
Weng, F., Yang, R. J., Ho, H. J., & Su, H. M. (2018). A TAM-based study of the attitude towards use intention of multi-media among school teachers. Applied system innovation, 1(3), 36.
Wirtz, B. W., Weyerer, J. C., & Rösch, M. (2018). Citizen and open government: an empirical analysis of antecedents of open government data. International Journal of Public Administration, 41(4), 308-320.
Yi, C., & Jiang, Z. (2007, July). The antecedents of online consumers’ perceived usefulness of website: A protocol analy-sis approach. In International Conference on Human-Computer Interaction (pp. 142-149). Springer, Berlin, Heidel-berg.
Yildiz, M. (2007). E-government research: Reviewing the literature, limitations, and ways forward. Government infor-mation quarterly, 24(3), 646-665.