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All issues Volume 426 (2023) E3S Web Conf., 426 (2023) 02107 References
Open Access
Issue
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
Article Number 02107
Number of page(s) 10
Section Innovative Management and Sustainable Society
DOI https://doi.org/10.1051/e3sconf/202342602107
Published online 15 September 2023
  1. Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-391. [CrossRef] [Google Scholar]
  2. Ahmad, M. O., Markkula, J., & Oivo, M. (2013). Factors affecting e-government adoption in Pakistan: A citizen’s perspective. Transforming Government: People, Process and Policy, 7(2), 225-239. [CrossRef] [Google Scholar]
  3. Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. 1st Edition, Prentice Hall. [Google Scholar]
  4. Al Awadhi, S., & Morris, A. (2008). The Use of the UTAUT Model in the Adoption of E-government Services in Kuwait. In Proceedings of the 41st Annual Hawaii International Conference on System Sciences (pp. 1530-1605). Waikoloa, Big Island, HI, USA. [Google Scholar]
  5. Alshare, K. A., & Lane, P. L. (2011). Predicting student-perceived learning outcomes and satisfaction in ERP courses: An empirical investigation. Communications of the Association for Information Systems, 28(1), 572–584. [CrossRef] [Google Scholar]
  6. Bandura, A. (1997). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. [Google Scholar]
  7. Bandyopadhyay, K., & Fraccastoro, K. A. (2007). The Effect of Culture on User Acceptance of Information Technology. Communications of the Association for Information Systems, 19, 522–543. [CrossRef] [Google Scholar]
  8. Barreda, A., Nusair, K., Okumus, F., & Bilgihan, A. (2013). Developing a brand structure pyramid model for travel-related online social networks. Tourism Reviews, 68(4), 49-70. [CrossRef] [Google Scholar]
  9. Carter, L., Shaupp, L. C., Hobbs, J., & Campbell, R. (2011). The role of security and trust in the adoption of online tax filing. Transforming Government: People, Process and Policy, 5(4), 303-318. [CrossRef] [Google Scholar]
  10. Chiu, Y. T. H., Lee, W. I., Liu, C. C., & Liu, L. Y. (2012). Internet lottery commerce: An integrated view of online sport lottery adoption. Journal of Internet Commerce, 11(1), 68-80. [CrossRef] [Google Scholar]
  11. Chung, H.-Y., Lee, G.-G., & Kuo, R.-Z. (2015). Determinants of Public Servants’ Intention to Adopt E-Government Learning. Review of Public Personnel Administration, forthcoming. [Google Scholar]
  12. Connolly, R., & Bannister, F. (2008). Factors influencing Irish consumers’ trust in internet shopping. Management Research News, 31(5), 339-358. [CrossRef] [Google Scholar]
  13. Cox, J. (2012). Information systems user security: A structured model of the knowing–doing gap. Computers in Human Behavior, 28(5), 1849–1858. [CrossRef] [Google Scholar]
  14. Ghozali, I. (2014). Theory, Concepts and Applications with IBM SPSS 22. Badan Diponegoro University Publisher. [Google Scholar]
  15. Gonzalez, G. C., Sharma, P. N., & Galletta, D. F. (2012). The antecedents of the use of continuous auditing in the internal auditing context. International Journal of Accounting Information Systems, 13(3), 248-262. [CrossRef] [Google Scholar]
  16. Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. The Journal of Strategic Information Systems, 17(2), 140-154. [CrossRef] [Google Scholar]
  17. Handayani, R. (2007). Analysis of Factors Affecting Interest in Utilization Information Systems and Use of Information Systems (Empirical Studies in Companies Manufacturing on the Jakarta Stock Exchange). Journal of Accounting and Finance, 9(2), 76–88. [Google Scholar]
  18. Maguire, S., & Ojiako, U. (2007). Interventions for information systems introduction in the NHS. Health Informatics Journal, 13(4), 283-302. [CrossRef] [PubMed] [Google Scholar]
  19. Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The Journal of High Technology Management Research, 23(1), 1-14. [CrossRef] [Google Scholar]
  20. Negahban, A., & Chung, C.-H. (2014). Discovering determinants of users’ perception of Mobile Device Functionality Fit. Computers in Human Behavior, 35, 75-84. [CrossRef] [Google Scholar]
  21. Park, S. Y., Nam, M. W., & Cha, S. B. (2012). University students’ behavioral intention to use mobile learning: Evaluating the technology acceptance model. British Journal of Educational Technology, 43(4), 592-605. [CrossRef] [Google Scholar]
  22. Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors that Influence Consumer Adoption of E-government Services in the UAE: A UTAUT Model Perspective. Journal of Internet Commerce, 15(1), 18-39. [CrossRef] [Google Scholar]
  23. Salleh, S. M., & Laxman, K. (2014). Investigating the factors influencing teachers’ use of ICT in teaching in Bruneian secondary schools. Education and Information Technologies, 19(4), 747-762. [CrossRef] [Google Scholar]
  24. Shareef, M. A., Kumar, V., Dwivedi, Y. K., & Kumar, U. (2016). Service delivery through mobile-government (mGov): Driving factors and cultural impacts. Information Systems Frontiers, 18(2), 315-332. [CrossRef] [Google Scholar]
  25. Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34, 211–230. [CrossRef] [Google Scholar]
  26. Mohamad Thahir Haning, Hasniati, & Mashuri H. Tahili. (2018). E-Government Trust Model Towards Taxpayers Compliance in South Sulawesi Province, Indonesia. Asian Journal of Environmental History and Heritage, 2, 269–282. [Google Scholar]
  27. Nugroho, R. A., Imania, A. N., & Rahmawati, A. A. (2022). Public Acceptance of Mobile Civic Service in Indonesia Using a Unified Model of E-Government Acceptance. *KnE Social Sciences, pp. 214–228. [Google Scholar]
  28. OECD. (2004). Compliance Risk Management: Managing and Improving Tax Compliance. *Centre for Tax Policy and Administration, pp. 1–73. [Google Scholar]
  29. Statistics, R. (2017). SPECIAL FEATURE: Electronic services in tax administration, pp. 39–47. [Google Scholar]
  30. Surmayanti, R., Sudarma, M., & Roekhudin. (2017). Determinant of Taxpayer’s Behavioral. Journal of Reviu Akuntansi dan Keuangan, 7, 1035–1042. [CrossRef] [Google Scholar]
  31. Veeramootoo, Narvadha, Robin Nunkoo, and Yogesh K. Dwivedi. (2018). What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage. Government Information Quarterly, 35(2), 161-174. [CrossRef] [Google Scholar]
  32. Dwivedi, Y. K., Weerakkody, V., & Janssen, M. (2012). Moving towards maturity: Challenges to successful e-government implementation and diffusion. The Data Base for Advances in Information Systems, 42(4), 11–22. [CrossRef] [Google Scholar]
  33. Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who influences whom? Analyzing workplace referents’ social influence on IT adoption and non-adoption. Journal of Information Technology, 24(1), 11–24. [CrossRef] [Google Scholar]
  34. Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega: The International Journal of Management Science, 28(6), 725–737. [Google Scholar]
  35. Ho, A. T. -K. (2002). Reinventing local governments and the e-government initiative. Public Administration Review, 62(4), 434–444. [CrossRef] [Google Scholar]
  36. Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking adoption in Kuala Lumpur: An application of UTAUT model. International Journal of Business and Management, 6(4), 161–167. [Google Scholar]
  37. Koh, C. E., Prybutok, V. R., Ryan, S. D., & Wu, Y. A. (2010). A model for mandatory use of software technologies: An integrative approach by applying multiple levels of abstraction of informing science. Informing Science: The International Journal of an Emerging Transdiscipline, 13, 177–203. [CrossRef] [Google Scholar]
  38. Rana, N. P., & Dwivedi, Y. K. (2015). Citizen’s adoption of an e-government system: Validating extended social cognitive theory (SCT). Government Information Quarterly, 32(2), 172– 181. [CrossRef] [Google Scholar]
  39. Sulaiman, A., Jaafar, N. I., & Aziz, N. A. A. (2012). Factors influencing intention to use MYEPF I-Akaun. World Applied Sciences Journal, 18(3), 451–461. [Google Scholar]
  40. Sumak, B., Polancic, G., & Hericko, M. (2010). An empirical study of virtual learning environment adoption using UTAUT. In Second International Conference on Mobile, Hybrid, and On-line Learning (pp. 17–22). [Google Scholar]
  41. Urumsah, D., Quaddus, M., & Galbreath, J. (2011). An investigation into the factors influencing consumers to use e-services of Indonesian airlines: The role of motivation. In Proceedings of the 19th European Conference on Information Systems (Aalto University, Finland). [Google Scholar]
  42. Lu, C. -T., Huang, S. -Y., & Lo, P. -Y. (2010). An empirical study of on-line tax filing acceptance model: Integrating TAM and TPB. African Journal of Business Management, 4(5), 800–810. [Google Scholar]
  43. 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. [CrossRef] [Google Scholar]
  44. 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. [CrossRef] [Google Scholar]
  45. Teo, T. S., & Liu, J. (2007). Consumer trust in e-commerce in the United States, Singapore, and China. Omega, 35(1), 22–38. [CrossRef] [Google Scholar]
  46. Park, J., Yang, S., & Lehto, X. (2007). Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 8(3), 196–206. [Google Scholar]
  47. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 124– 143. [Google Scholar]
  48. Šestáková, M. (2018). Tax Challenges of the Digital Economy. Management Challenges in the 21st Century Conference. Bratislava. [Google Scholar]

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