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Why do citizens use e-tax system?:Extending the technology continuance theory

Author

Listed:
  • Md Faridur Rahman

    (College of Public Administration,Huazhong University of Science and Technology,Wuhan, China)

  • Md. Shamim Talukder

    (Department of Management, School of Business and Economics,North South University, Dhaka, Bangladesh)

  • Yang Lanrong

    (College of Public Administration,Huazhong University of Science and Technology,Wuhan, China)

  • Abul Khayer

    (Department of International Business, University of Dhaka, Bangladesh)

Abstract

Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings Key Words: E-government, E-tax system, Continuance usage,technology continuance theory, predictive modeling approach

Suggested Citation

  • Md Faridur Rahman & Md. Shamim Talukder & Yang Lanrong & Abul Khayer, 2020. "Why do citizens use e-tax system?:Extending the technology continuance theory," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 9(7), pages 177-189, December.
    • Handle: RePEc:rbs:ijbrss:v:9:y:2020:i:7:p:177-189
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    References listed on IDEAS

    as
    1. Talukder, Md Shamim & Shen, Liang & Hossain Talukder, Md Farid & Bao, Yukun, 2019. "Determinants of user acceptance and use of open government data (OGD): An empirical investigation in Bangladesh," Technology in Society, Elsevier, vol. 56(C), pages 147-156.
    2. Madhavan Parthasarathy & Anol Bhattacherjee, 1998. "Understanding Post-Adoption Behavior in the Context of Online Services," Information Systems Research, INFORMS, vol. 9(4), pages 362-379, December.
    3. Thominathan Santhanamery & T. Ramayah, 2014. "Explaining the e-Government Usage Using Expectation Confirmation Model: The Case of Electronic Tax Filing in Malaysia," Public Administration and Information Technology, in: Leonidas G. Anthopoulos & Christopher G. Reddick (ed.), Government e-Strategic Planning and Management, edition 127, chapter 0, pages 287-304, Springer.
    4. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams, 2015. "A meta-analysis of existing research on citizen adoption of e-government," Information Systems Frontiers, Springer, vol. 17(3), pages 547-563, June.
    5. Ali Nabavi & Mohammad Taghi Taghavi-Fard & Payam Hanafizadeh & Mohammad Reza Taghva, 2016. "Information Technology Continuance Intention: A Systematic Literature Review," International Journal of E-Business Research (IJEBR), IGI Global, vol. 12(1), pages 58-95, January.
    6. Azzalini, Adelchi & Browne, Ryan P. & Genton, Marc G. & McNicholas, Paul D., 2016. "On nomenclature for, and the relative merits of, two formulations of skew distributions," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 201-206.
    7. Paul Jen‐Hwa Hu & Susan A. Brown & James Y.L. Thong & Frank K.Y. Chan & Kar Yan Tam, 2009. "Determinants of service quality and continuance intention of online services: The case of eTax," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 292-306, February.
    8. Wannasiri Bhuasiri & Hangjung Zo & Hwansoo Lee & Andrew P. Ciganek, 2016. "User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand," Information Technology for Development, Taylor & Francis Journals, vol. 22(4), pages 672-695, October.
    9. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    10. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    11. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    12. Ludwig Christian Schaupp & Lemuria Carter, 2010. "The impact of trust, risk and optimism bias on E-file adoption," Information Systems Frontiers, Springer, vol. 12(3), pages 299-309, July.
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