• DocumentCode
    3155937
  • Title

    A study of tax e-filing acceptance model: A structural equation modeling approach

  • Author

    Cheng-Tsung Lu ; Chun-Tai Ting

  • Author_Institution
    Dept. of Accounting Inf., Nat. Taichung Univ. of Sci. & Technol., Taichung, Taiwan
  • fYear
    2013
  • fDate
    16-20 June 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This study integrated theory of planning behavior (TPB) and technology acceptance model (TAM) to investigate the determinants affecting taxpayers´ on-line tax filing. According to the Global e-Government Study of Brown University in the United States, Taiwan´s ranking was the world´s first in 2010. Hence, this study sampled 422 online taxpayers in Taiwan and questionnaire-based empirical study was used to collect data. The empirical results showed that: (1) Attitude was the primary factor affecting on-line tax filing, but “attitude” was also affected by “perceived usefulness”, “perceived ease of use”, “tax equity”, “social norm”, and “moral norm”. (2) Both TAM and TPB could be successfully integrated to explain online tax filing behaviors, and correlations were found between TAM factors and TPB factors. (3) Finally, we built a best-fitted model for on-line tax filing. This model would be the reference for establishing e-government.
  • Keywords
    consumer behaviour; government data processing; statistical analysis; taxation; Brown University; TAM; TPB; Taiwan; United States; global e-government study; moral norm; online tax filing behaviors; perceived ease-of-use; perceived usefulness; questionnaire-based empirical study; social norm; structural equation modeling approach; tax e-filing acceptance model; tax equity; technology acceptance model; theory-of-planning behavior; Attitude control; Correlation; Electronic government; Ethics; Internet; Mathematical model; Tax Equity; Technology Acceptance Model (TAM); Theory of Planning Behavior (TPB);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
  • Conference_Location
    Niigata
  • Type

    conf

  • DOI
    10.1109/ICIS.2013.6607854
  • Filename
    6607854