User Satisfaction as a Mediating Variable between Information Quality and the Conative Use of Annual Tax Reporting E-Filing System

Rossalina Christanti

Abstract


The usage of information technology and communication in tax reporting system in Indonesia has increased, especially when we are all facing the global pandemic issue. This study aims to examine the effect of user satisfaction as a mediating variable on causal relationship between information quality and  conative use of information technology. Drawing upon sample of 147 tax staff as a representative of corporate taxpayer, Sobel Test and Ordinary Least Square regression were used to test the hypotheses. This study suggests that user satisfaction acted as a mediating variable between information quality and conative use of e-filing tax reporting system.

 


Keywords


Information Quality; Electronic Tax Reporting System; Conative Use of Information System

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References


Abdillah, W., & Hartono, J. (2015). Partial Least Square (PLS) - Alternatif Structural Equation Modeling (SEM) dalam Penelitian Bisnis. Yogyakarta: Indonesia: Andi.

AL Athmay, Al. A. A., Fantazy, K., & Kumar, V. (2016). E-government adoption and user’s satisfaction: an empirical investigation. EuroMed Journal of Business, 11(1), 57–83. https://doi.org/10.1108/EMJB-05-2014-0016

Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370.

Brown, S. a, Venkatesh, V., & Goyal, S. (2012). Expectation Confirmation in Technology Use. Information Systems Research, 23(June 2012), 474–487. https://doi.org/10.1287/isre.1110.0357

Christanti, R., & Achjari, D. (2019). Sistem Pelaporan Pajak Penghasilan Berbasis Elektronik: Studi pada Perilaku Wajib Pajak Badan atas Penggunaan Aplikasi-aplikasi Sistem Pelaporan SPT Tahunan. Accounting and Business Information System Journal, 28.

Conner, M., & Norman, P. (2005). Predicting Health Behaviour. (M. Conner & P. Normal, Eds.) (2nd ed.). Berkshire: Open University Press McGraw-Hill Education.

Delone, W. H., & Mclean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information System Research, 3(1), 60–95. https://doi.org/10.5267/j.uscm.2014.12.002

Gerdes, K. E., & Stromwall, L. K. (2008). Conation : A Missing Link in the Strengths Perspective. Social Work - Oxford Journals, 53(3), 233–242.

Gorondutse, A. H., & Hilman, H. (2014). Mediation effect of customer satisfaction on the relationships between service quality and customer loyalty in the Nigerian foods and beverages industry: Sobel test approach. International Journal of Management Science and Engineering Management, 9(1), 1–8. https://doi.org/10.1080/17509653.2013.812337

Hair, Joseph F. Jr., Black, William C., Babin, Barry J., Anderson, Rolph E. 2010. Multivariate Data Analysis: A Global Perspective (7th ed.). New Jersey: Pearson Prentice Hall.

Hair, Joseph F. Jr., Hult, G. Thomas M., Ringle, Christian M., & Sarstedt, Marko. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage Publishing.

Huitt, W. (1999). Conation as an important factor of mind. Educational Psychology Interactive, 1–9. Retrieved from http://www.edpsycinteractive.org/topics/conation/conation.html

Huitt, W. G., & Cain, S. C. (2005). An Overview of the Conative Domain. Educational Psychology Interactive, 1–20. Retrieved from http://www.edpsycinteractive.org/brilstar/chapters/conative.pdf

Khayun, V., & Ractham, P. (2011). Measuring e-Excise Tax Success Factors : Applying the DeLone & McLean Information Systems Success Model Measuring e-Excise Tax Success Factors : Applying the DeLone & McLean Information Systems Success Model. In 44th Hawaii International Conference on System Sciences. IEEE. https://doi.org/10.1109/HICSS.2011.303

Kolbe, K. (1989). Wisdom of the Ages: Historical and Theoretical Basis of the Kolbe Concept. Phoenix: Arizona: Kolbe Concept, Inc. Retrieved from http://www.kolbe.com/why-kolbe/kolbe-wisdom/what-is-conation/

Kwahk, K. Y., Ahn, H., & Ryu, Y. U. (2018). Understanding mandatory IS use behavior: How outcome expectations affect conative IS use. International Journal of Information Management, 38(1), 64–76. https://doi.org/10.1016/j.ijinfomgt.2017.07.001

Lim, E. T. K., Tan, C., Cyr, D., Pan, S. L., Xiao, B., Lim, E. T. K., … Xiao, B. (2012). Advancing Public Trust Relationships in Electronic Government: The Singapore E-Filing Journey. Information System Research, 23(4), 1110–1130.

Loo, W. H., Yeow, P. H. P., & Chong, S. C. (2009). User acceptance of Malaysian government multipurpose smartcard applications. Government Information Quarterly, 26(2), 358–367. https://doi.org/10.1016/j.giq.2008.07.004

MacKinnon, D. P., & Fairchild, A. J. (2009). Current Direction in Mediation Analysis. Curr Dir Psychol Sci, 18(1), 16–20. https://doi.org/10.1111/j.1467-8721.2009.01598.x.Current

Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. American Marketing Association, 17(4), 460–469.

Oliver, R. L. (1993). Cognitive, affective and attribute bases of the satisfaction response. Journal of Consumer Research, 20(December 1993), 418–430. https://doi.org/10.1086/209358

Papadomichelaki, X., & Mentzas, G. (2012). E-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 29(1), 98–109. https://doi.org/10.1016/j.giq.2011.08.011

Petter, S., DeLone, W., & McLean, E. R. (2013). Information Systems Success: The Quest for the Independent Variables. Journal of Management Information Systems, 29(4), 7–62. https://doi.org/10.2753/MIS0742-1222290401

Preacher, K. J., & Leonardelli, G. J. (2010). Calculation for the Sobel test: An interactive calculation tool for mediation tests.

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. https://doi.org/10.1016/j.giq.2015.02.002

Sahu, G. P., & Gupta, M. P. (2007). Users’ Acceptance of E-Government: A Study of Indian Central Excise. International Journal of Electronic Government Research, 3(3), 1–21. https://doi.org/10.4018/jegr.2007070101

Saksama, H. Y. (2018). Kepatuhan Meningkat , Penyampaian SPT Tumbuh Double Digit. Retrieved September 10, 2018, from http://www.pajak.go.id/kepatuhan-meningkat-penyampaian-spt-tumbuh-double-digit

Sekaran, U., & Bougie, R. (2013). Research Methods for Business (6th ed.). West Sussex, United Kingdom: John Wiley & Sons.

Sørum, H., Andersen, K. N., & Clemmensen, T. (2013). Website quality in government: Exploring the webmaster’s perception and explanation of website quality. Transforming Government: People, Process and Policy, 7(3), 322–341. https://doi.org/10.1108/TG-10-2012-0012




DOI: http://dx.doi.org/10.18415/ijmmu.v7i8.1953

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