Open Access
Issue
E3S Web of Conf.
Volume 388, 2023
The 4th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2022)
Article Number 04054
Number of page(s) 9
Section Technological Influence on Society and Applied Social Sciences to Support Sustainable Society
DOI https://doi.org/10.1051/e3sconf/202338804054
Published online 17 May 2023
  1. OECD, Revenue Statistics in Asian and Pacific Economies 2020. Paris: OECD Publishing, 2020. [Google Scholar]
  2. OECD, Revenue Statistics in Asia and the Pacific: Key findings for Indonesia. Paris: OECD Publishing, 2021. [Google Scholar]
  3. D. Pomeranz, Vila-Belda, and Jose, “Taking state-capacity research to the field: insights from collaborations with tax authorities,” Annu. Rev. Econom., vol. 11, pp. 755–781, 2019. [CrossRef] [Google Scholar]
  4. S. Haq, “Electronic Invoicing gains as adoption barriers fall,” Financ. Exec., vol. 23, no. 7, pp. 61–63, 2007. [Google Scholar]
  5. N. K. Farrasati and Murwendah, “Smart Governance on Taxation: Tax Data Integration through Host-to-Host e-Invoices towards Collaborative Compliance in Indonesia,” Int. Conf. ICT Smart Soc., pp. 1–8, 2020. [Google Scholar]
  6. S. Millenia, T. Kristianti, and L. Dhia Prawati, “The Success Factors of e-Filing Tax Reporting in Indonesia: An Empirical Analysis Using the DeLone & McLean IS Success Model,” 2022 5th Int. Conf. Comput. Manag.Bus., pp. 90–97, 2022. [Google Scholar]
  7. D. Amalina and E. Suryani, “Evaluating the Success of E-Invoice Implementation at a State-Owned Enterprise Using DeLone & McLean IS Success Model,” IPTEK J. Proc. Ser., no. 1, pp. 388–396, 2022. 3 [CrossRef] [Google Scholar]
  8. J. W. Lian, “Critical factors for cloud based einvoice service adoption in Taiwan: An empirical study,” Int. J. Inf. Manage., vol. 35, no. 1, pp. 98–109, 2015. [CrossRef] [Google Scholar]
  9. H. Kleven, C. Kreiner, and E. Saez, “Why can modern governments tax so much? An agency model of companies as fiscal intermediaries,” Economica, vol. 83, no. 330, pp. 219–246, 2016. [CrossRef] [Google Scholar]
  10. J. Li, X. Wang, and Y. Wu, “Can government improve tax compliance by adopting advanced information technology? Evidence from the Golden Tax Project III in China,” Econ. Model., no. 93, pp. 384–397, 2020. [CrossRef] [Google Scholar]
  11. M. Lagzian and N. Naderi, “An Empirical Study of the Factors Affecting Customers’ Acceptance Intention of E-Invoice Services: The Case of Mashhad Electricity Distribution Company,” Proc. 2015 2nd Int. Conf. Electron. Gov. Open Soc. Challenges Eurasia, pp. 97– 103, 2015. [Google Scholar]
  12. Y. S. Wang and Y. W. Liao, “Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success,” Gov. Inf. Q., vol. 25, no. 4,pp. 717–733, 2008. [CrossRef] [Google Scholar]
  13. H. M. Al-Hattami, “Validation of the D&M IS success model in the context of accounting information system of the banking sector in the least developed countries,” J. Manag. Control, vol. 32, no. 1, pp. 127–153, 2021. [CrossRef] [Google Scholar]
  14. W. . DeLone and E. . McLean, “Information systems success: The quest for the dependent variable,” Inf. Syst. Res., vol. 3, no. 1, pp. 60– 95, 1992. [CrossRef] [Google Scholar]
  15. W. H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: a ten-year update,” J. Manag. Inf. Syst., vol. 19, no. 4, pp. 9–30, 2003. [CrossRef] [Google Scholar]
  16. A. J. H. Hambali, “The success of e-filing adoption during COVID 19 pandemic: The role of collaborative quality, user intention, and user satisfaction,” J. Econ. Business, Account. Ventur., vol. 23, no. 1, pp. 57–68, 2020. [Google Scholar]
  17. V. Khayun and P. Ractham, “Measuring eexcise tax success factors: Applying the DeLone & McLean information systems success model,” 2011 44th Hawaii Int. Conf. Syst. Sci., pp. 1–10, 2011. [Google Scholar]
  18. W. H. DeLone and E. R. McLean, “Measuring e-commerce success: Applying the DeLone & McLean information systems success model,” Int. J. Electron. Commer., vol. 9, no. 1, pp. 31– 47, 2004. [CrossRef] [Google Scholar]
  19. B. H. Wixom and P. A. Todd, “A theoretical integration of user satisfaction and technology acceptance,” Inf. Syst. Res., vol. 16, no. 1, pp.85–102, 2005. [CrossRef] [Google Scholar]
  20. J. E. Bailey and S. W. Pearson, “Development of a Tool for Measuring and Analyzing Computer User Satisfaction,” Manage. Sci., vol. 29, no. 5, pp. 530–545, 1983. [CrossRef] [Google Scholar]
  21. M. N. Yakubu and S. Dasuki, “Assessing eLearning systems success in Nigeria: An application of the DeLone and McLean information systems success model,” J. Inf. Technol. Educ. Res., vol. 17, pp. 183–203, 2018. [Google Scholar]
  22. L. F. Pitt, R. T. Watson, and C. B. Kavan, “Service quality: A measure of information systems effectiveness,” MIS Quarterly, vol. 19, no. 2, pp. 173–187, 1995. [CrossRef] [Google Scholar]
  23. J. C. J. Chang and W. R. King, “Measuring the performance of information systems: A functional scorecard,” J. Manag. Inf. Syst., vol. 22, no. 1, pp. 85–115, 2005. [CrossRef] [Google Scholar]
  24. F. J. Masunga, H. J. Mapesa, and M. A. Nyalle, “Quality of E-Tax System and Its Effect on Tax Compliance (Evidence from Large Taxpayers in Tanzania),” Int. J. Commer. Financ., vol. 6, no. 2, pp. 145–158, 2020. [Google Scholar]
  25. A. Ameen, D. Al-Ali, O. Isaac, and F. Mohammed, “Examining relationship between service quality, user satisfaction, and performance impact in the context of smart government in UAE,” Int. J. Electr. Comput. Eng., vol. 10, no. 6, pp. 6026–6033, 2020. [Google Scholar]
  26. J. V. et al. Chen, “Factors affecting online tax filing – An application of the IS Success Model and trust theory, Computers in Human Behavior,” Elsevier Ltd, vol. 43, pp. 251–262, 2015. [Google Scholar]
  27. S. K. R. Zaidi, C. D. Henderson, and G. Gupta, “The moderating effect of culture on e-filing taxes: evidence from India,” J. Account. Emerg. Econ., vol. 7, no. 1, pp. 134–152, 2017. [Google Scholar]
  28. K. . Omar, H. Scheepers, and R. Stockdale, “eGovernment service quality assessed through the public value lens,” Int. Conf. Electron. Gov., pp. 431–440, 2011. [Google Scholar]
  29. I. Ghozali and H. Latan, Partial Least Squares Konsep Teknik dan Aplikasi menggunakan Program Smart PLS 3.0 untuk Penelitian Empiris, 2nd ed. Semarang: Universitas Diponegoro, 2015. [Google Scholar]
  30. W. W. Chin and P. A. Todd, “On the use, usefulness, and ease of use of structural equation modeling in MIS research: A note of caution,” MIS Q., vol. 19, no. 2, pp. 237–246, 1995. [CrossRef] [Google Scholar]
  31. D. A. Kenny, “Mediation,” 2016. [Online]. Available: http://davidakenny.net/cm/mediate.htm.[Accessed: 04-May–2021]. [Google Scholar]
  32. Budiyanto, “Evaluasi Kesuksesan Sistem Informasi dengan Pendekatan Model Delone dan Mclean (Studi Kasus Implementasi Billing System Di RSUD Kabupaten Sragen),” Universitas Sebelas Maret Surakarta, 2009. [Google Scholar]
  33. M. Gelderman, “The Relation Between User Satisfaction, Usage of Information Systems and Performance,” Inf. Manag, vol. 34, no. 1, pp. 11 –18, 1998. [CrossRef] [Google Scholar]

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