skip to main content
10.1145/3512676.3512691acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccmbConference Proceedingsconference-collections
research-article

The Success Factors of e-Filing Tax Reporting in Indonesia: An Empirical Analysis Using the DeLone & McLean IS Success Model

Published:28 March 2022Publication History

ABSTRACT

The Directorate General of Taxes in Indonesia strives to maximize tax collection through modernizing technology and tax information systems, one of which is e-Filing. E-filing is believed to be an important pillar in tax reform since it will be very useful in offering more comprehensive, easy-to-use, simple, fast, effective, and efficient tax reporting services. Hence, the purpose of this study is to explore the e-Filing system using the DeLone and McLean's Information System Success Model. The respondents are taxpayers in Jakarta who have used e-Filing. Samples obtained from online questionnaires were 203 taxpayers. The data were analyzed using the SEM PLS method. The results show that information quality has a positive and significant effect on the use and satisfaction of taxpayers. Other quality constructs - system quality and service quality – also have positive and significant effects on taxpayers’ satisfaction. Furthermore, use and user satisfaction affect net benefits positively and significantly. These findings indicate that the success of e-Filing can provide relevant, useful, and accurate information for tax reporting, provides security guarantees for taxpayers, and is easy to use for tax reporting purposes, which results in net benefits for taxpayers.

References

  1. S. Wangpipatwong, W. Chutimaskul and B. Papasratorn, "Factors influencing the adoption of Thai eGovernment websites: Information quality and system quality approach," in Proceedings of the Fourth International Conference on eBusiness, Bangkok, 2005.Google ScholarGoogle Scholar
  2. W. Chaouali, I. B. Yahia, L. Charfeddine and A. Triki, "Understanding citizens' adoption of e-filing in developing countries: An empirical investigation," Journal of High Technology Management Research, vol. 27, no. 2, pp. 161-176, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  3. C. Tjen, V. Indriani and P. T. Wicaksono, "Prior Experience, Trust, and IS Success Model: A Study on the Use of Tax e-Filing in Indonesia," Journal of the Australasian Tax Teachers Association, vol. 14, no. 1, 2019.Google ScholarGoogle Scholar
  4. N. Y. A. Widyari, D. Ariyanto, H. B. Suprasto and I. D. G. D. Suputra, "Understanding the Impact of e-Filing System Performance on Tax Compliance Using the DeLone and McLean Model," Jurnal Dinamika Akuntansi dan Bisnis, vol. 8, no. 2, pp. 161-180, 2021.Google ScholarGoogle ScholarCross RefCross Ref
  5. W. H. DeLone and E. R. McLean, "The DeLone and McLean Model of Information Systems Success: A Ten-Year Update," Journal of Management Information Systems, vol. 19, no. 4, pp. 9-30, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  6. J. V. Chen, R. J. M. Jubilado, E. P. S. Capistrano and D. C. Yen, "Factors affecting online tax filing – An application of the IS Success Model and trust theory," Computers in Human Behavior, vol. 43, pp. 251-262, 2015.Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. N. Veeramootoo, R. Nunkoo and Y. K. Dwivedi, "What determines success of an e-government service? Validation of an integrative model of e-filing continuance usage," Government Information Quarterly, vol. 35, no. 2, pp. 161-174, 2018.Google ScholarGoogle ScholarCross RefCross Ref
  8. C. W. Chen, "Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems—An empirical study," Information & Management, vol. 47, no. 5-6, pp. 308-315, 2010.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. J. Sondakh, "Behavioral Intention to Use E-Tax Service System: An Application of Technology Acceptance Model," European Research Studies Journal , vol. XX, no. 2A, pp. 48-64, 2017.Google ScholarGoogle Scholar
  10. S. A. P. P. Gunaasih, "The Performance of Service, System, and Technology of E-filing Product on the Enthusiasm of People at Police Science College in Jakarta," Review of Integrative Business and Economics Research, vol. 10, no. 2 (Supplementary), 2021.Google ScholarGoogle Scholar
  11. 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)," International Journal of Commerce and Finance, vol. 6, no. 2, pp. 145-158, 2020.Google ScholarGoogle Scholar
  12. C. Coron and P. Gibert, Technological Change, Volume 1, USA: John Wiley & Sons, Inc., 2020.Google ScholarGoogle ScholarCross RefCross Ref
  13. F. B. Franque, T. Oliveira and C. Tam, "Understanding the factors of mobile payment continuance intention:empirical test in an African context," Heliyon, vol. 7, no. 8, 2021.Google ScholarGoogle Scholar
  14. C. Tam and T. Oliveira, "Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective," Computers in Human Behavior, vol. 61, pp. 233-244, 2016.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. A. B. Jaafreh, "Evaluation of Information System Success: Applying the DeLone and McLean Information System Success Model in the Context Banking System at KSA," International Review of Management and Business Research, vol. 6, no. 2, 2017.Google ScholarGoogle Scholar
  16. W. H. DeLone and E. R. McLean, "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, vol. 3, no. 1, pp. 60-95, 1992.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. W. Cidral, M. Aparicio and T. Oliveira, "Students’ long-term orientation role in e-learning success: A Brazilian study," Heliyon, vol. 6, no. 12, 2020.Google ScholarGoogle Scholar
  18. M. Shim and H. S. Jo, "What quality factors matter in enhancing the perceived benefits of online health information sites? Application of the updated DeLone and McLean Information Systems Success Model," International Journal of Medical Informatics, vol. 137, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  19. A. Zibak, C. Sauerwein and A. Simpson, "A Success Model for Cyber Threat Intelligence Management," Computers & Security, vol. 111, 2021.Google ScholarGoogle Scholar
  20. N. P. Rana, Y. K. Dwivedi, M. D. Williams and V. Weerakkody, "Investigating Success of an E-Government Initiative: Validation of an Integrated IS Success Model," Information Systems Frontiers, vol. 17, no. 1, pp. 127-142, 2015.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. V. Weerakkody, R. El-Haddadeh, F. Al-Sobhi, M. A. Shareef and Y. K. Dwivedi, "Examining the influence of intermediaries in facilitating e-government adoption: An empirical investigation," International Journal of Information Management, vol. 33, pp. 716-725, 2013.Google ScholarGoogle ScholarCross RefCross Ref
  22. A. Parasuraman, "A Conceptual Model of Service Quality and It's Implications for Future Research," Journal of Marketing, vol. 49, no. 4, pp. 41-50, 1985.Google ScholarGoogle ScholarCross RefCross Ref
  23. A. Shahzad, R. Hassan, A. Y. Aremu, A. Hussain and R. N. Lodhi, "Effects of COVID‐ 19 in E‐learning on higher education institution students : the group comparison between male and female.," Quality & Quantity, 2020.Google ScholarGoogle Scholar
  24. T. A. G. D. R. Albay, "Assessing E-Filing Success: The Moderating Roles of Tax Complexity, Prior Experience, and Perceived Risk," in Proceedings: Multi-dimensional Disruption in the Asia-Pacific (The 5th TU-CAPS), Thailand, 2020.Google ScholarGoogle Scholar
  25. A. Afthanorhan, H. Foziah and N. A. Majid, "Investigating Digital Library Success using the DeLone and McLean Information System Success 2.0: The Analysis of Common Factor based Structural Equation Modeling," Journal of Physics: Conference Series, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  26. 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," International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 6, pp. 6026-6033, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  27. I. Alrajawy, "Examine Factors Influencing the Intention to use Mobile Learning in Yemen Public Universities," Asian Journal of Information Technology, vol. 16, no. 2, pp. 287-297, 2017.Google ScholarGoogle Scholar
  28. W. H. DeLone and E. R. McLean, "Information Systems Success Measurement," Foundations and Trends in Information Systems, vol. 2, no. 1, pp. 1-116, 2016.Google ScholarGoogle ScholarCross RefCross Ref
  29. J.-H. Wu and Y.-M. Wang, "Measuring KMS success: A respecification of the DeLone and McLean's model," Information & Management, vol. 43, pp. 728-739, 2006.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. W. W. Chinn, "Issues and opinion on structural equation modelling," MIS Quarterly, vol. 22, no. 1, pp. 7-16, 1998.Google ScholarGoogle Scholar
  31. J. F. Hair, G. T. M. Hult, C. M. Ringle and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM) 2e, US: SAGE, 2014.Google ScholarGoogle Scholar
  32. J. Henseler, C. M. Ringle and M. Sarstedt, "A new criterion for assessing discriminant validity in variance-based structural equation modeling," Journal of the Academy of Marketing Science, vol. 43, pp. 115-135, 2015.Google ScholarGoogle ScholarCross RefCross Ref
  33. J. Cohen, Statistical power analysis (2nd ed.), Hillsdale NJ: Erlbaum, 1988.Google ScholarGoogle Scholar

Index Terms

  1. The Success Factors of e-Filing Tax Reporting in Indonesia: An Empirical Analysis Using the DeLone & McLean IS Success Model
            Index terms have been assigned to the content through auto-classification.

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Other conferences
              ICCMB '22: Proceedings of the 2022 5th International Conference on Computers in Management and Business
              January 2022
              219 pages
              ISBN:9781450387422
              DOI:10.1145/3512676

              Copyright © 2022 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 28 March 2022

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article
              • Research
              • Refereed limited

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader

            HTML Format

            View this article in HTML Format .

            View HTML Format