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Abstract

The purpose of this study was to analyze the effect of the dimensions of Account Representative service quality and taxpayer education level on individual taxpayer compliance. The number of taxpayers is increasing from year to year, but this is not matched by taxpayer compliance in paying taxes. The compliance problem is an obstacle in maximizing tax revenue. This study examines the level of compliance of individual taxpayers registered in the West Makassar KPP Pratama area by using several independent variables, namely direct evidence, reliability, responsiveness, assurance, and empathy as dimensions of Account Representative service quality and taxpayer education level. The data used in this study are primary data obtained from the research location, namely through the distribution of questionnaires (list of questions to respondents). The sample consists of 100 respondents who are individual taxpayers as well as secondary data obtained from KPP Pratama West Makassar which is closely related to this research. Data were tested using multiple linear regression analysis. Testing the data using SPSS 20. Researchers also tested the validity and reliability tests for the questionnaire. The classic assumption test used is the multicollinearity test, the normality test, and the heteroscedasticity test. To test the hypothesis, the researcher used the coefficient of determination (R2), simultaneous test (F-test), and partial test (t-test). Based on the results of the analysis carried out, it is concluded that direct evidence, reliability, responsiveness, and assurance have a positive but not significant effect, while empathy has a positive and significant effect, while the level of education has a negative and insignificant effect on individual taxpayer compliance at KPP Pratama Makassar Barat.

Keywords

Account Representative Service Quality Dimensions Level of Taxpayer Education Taxpayer Compliance

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Badarullah, H. (2022). Account Representative Service Quality Dimensions and Compulsory Level of Education Tax on Taxpayer Compliance Personal Person. Golden Ratio of Taxation Studies, 2(1), 01–10. https://doi.org/10.52970/grts.v2i1.244
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References

  1. Alm, J., Martinez-Vazquez, J., & Wallace, S. (2009). Do Tax Amnesties Work? The Revenue Effects of Tax Amnesties During the Transition in the Russian Federation. Economic Analysis and Policy, 39(2), 235–253. https://doi.org/https://doi.org/10.1016/S0313-5926(09)50019-7
  2. Bachnick, S., Ausserhofer, D., Baernholdt, M., & Simon, M. (2018). Patient-centered care, nurse work environment and implicit rationing of nursing care in Swiss acute care hospitals: A cross-sectional multi-center study. International Journal of Nursing Studies, 81, 98–106. https://doi.org/https://doi.org/10.1016/j.ijnurstu.2017.11.007
  3. Balinado, J. R., Prasetyo, Y. T., Young, M. N., Persada, S. F., Miraja, B. A., & Perwira Redi, A. A. N. (2021). The Effect of Service Quality on Customer Satisfaction in an Automotive After-Sales Service. Journal of Open Innovation: Technology, Market, and Complexity, 7(2), 116. https://doi.org/https://doi.org/10.3390/joitmc7020116
  4. Benavides-Velasco, C. A., Quintana-García, C., & Marchante-Lara, M. (2014). Total quality management, corporate social responsibility and performance in the hotel industry. International Journal of Hospitality Management, 41, 77–87. https://doi.org/https://doi.org/10.1016/j.ijhm.2014.05.003
  5. Chan, C. W., Troutman, C. S., & O’Bryan, D. (2000). An expanded model of taxpayer compliance: empirical evidence from the United States and Hong Kong. Journal of International Accounting, Auditing and Taxation, 9(2), 83–103. https://doi.org/https://doi.org/10.1016/S1061-9518(00)00027-6
  6. Chang, Y.-H., & Yeh, C.-H. (2017). Corporate social responsibility and customer loyalty in intercity bus services. Transport Policy, 59, 38–45. https://doi.org/https://doi.org/10.1016/j.tranpol.2017.07.001
  7. Che, H., Zeng, S., & Guo, J. (2019). Reliability assessment of man-machine systems subject to mutually dependent machine degradation and human errors. Reliability Engineering & System Safety, 190, 106504. https://doi.org/https://doi.org/10.1016/j.ress.2019.106504
  8. Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting online tax filing – An application of the IS Success Model and trust theory. Computers in Human Behavior, 43, 251–262. https://doi.org/https://doi.org/10.1016/j.chb.2014.11.017
  9. Cheng, C.-C., Chang, Y.-Y., & Chen, C.-T. (2021). Construction of a service quality scale for the online food delivery industry. International Journal of Hospitality Management, 95, 102938. https://doi.org/https://doi.org/10.1016/j.ijhm.2021.102938
  10. Chung, H. T., Lee, B., Park, E., Lu, J. J., & Xia, P. (2008). Can All Centers Plan Intensity-Modulated Radiotherapy (IMRT) Effectively? An External Audit of Dosimetric Comparisons Between Three-Dimensional Conformal Radiotherapy and IMRT for Adjuvant Chemoradiation for Gastric Cancer. International Journal of Radiation Oncology*Biology*Physics, 71(4), 1167–1174. https://doi.org/https://doi.org/10.1016/j.ijrobp.2007.11.040
  11. Daley, K., Jamieson, R., Rainham, D., Hansen, L. T., & Harper, S. L. (2022). Microbial risk assessment and mitigation options for wastewater treatment in Arctic Canada. Microbial Risk Analysis, 20, 100186. https://doi.org/https://doi.org/10.1016/j.mran.2021.100186
  12. Dogru, T., & Sirakaya-Turk, E. (2017). Engines of tourism’s growth: An examination of efficacy of shift-share regression analysis in South Carolina. Tourism Management, 58, 205–214. https://doi.org/https://doi.org/10.1016/j.tourman.2016.10.021
  13. Fischer, C. M., Rupert, T. J., & Wartick, M. L. (2001). Tax policy and planning implications of hidden taxes: effective marginal tax rate exercises. Journal of Accounting Education, 19(1), 63–74. https://doi.org/https://doi.org/10.1016/S0748-5751(01)00008-2
  14. Gill, H. L., & Haurin, D. R. (2001). The choice of tax base by local authorities: voter preferences, special interest groups, and tax base diversification. Regional Science and Urban Economics, 31(6), 733–749. https://doi.org/https://doi.org/10.1016/S0166-0462(01)00061-8
  15. Godspower-Akpomiemie, E., & Ojah, K. (2021). Market discipline, regulation and banking effectiveness: Do measures matter? Journal of Banking & Finance, 133, 106249. https://doi.org/https://doi.org/10.1016/j.jbankfin.2021.106249
  16. Grynberg, D., & Konrath, S. (2020). The closer you feel, the more you care: Positive associations between closeness, pain intensity rating, empathic concern and personal distress to someone in pain. Acta Psychologica, 210, 103175. https://doi.org/https://doi.org/10.1016/j.actpsy.2020.103175
  17. Hargaden, E. P. (2020). Taxpayer responses in good times and bad. Journal of Economic Behavior & Organization, 176, 653–690. https://doi.org/https://doi.org/10.1016/j.jebo.2020.05.003
  18. Herteliu, C., Jianu, I., Dragan, I. M., Apostu, S., & Luchian, I. (2021). Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania. Physica A: Statistical Mechanics and its Applications, 582, 126221. https://doi.org/https://doi.org/10.1016/j.physa.2021.126221
  19. Hussain, T., & Loureiro, G. (2022). Portability of firm corporate governance in mergers and acquisitions. Research in International Business and Finance, 63, 101777. https://doi.org/https://doi.org/10.1016/j.ribaf.2022.101777
  20. Kaur, D., Sambasivan, M., & Kumar, N. (2015). Impact of emotional intelligence and spiritual intelligence on the caring behavior of nurses: a dimension-level exploratory study among public hospitals in Malaysia. Applied Nursing Research, 28(4), 293–298. https://doi.org/https://doi.org/10.1016/j.apnr.2015.01.006
  21. Löhlein, L. (2016). From peer review to PCAOB inspections: Regulating for audit quality in the U.S. Journal of Accounting Literature, 36, 28–47. https://doi.org/https://doi.org/10.1016/j.acclit.2016.05.002
  22. Mustapha, B., & Obid, S. N. B. S. (2015). Tax Service Quality: The Mediating Effect of Perceived Ease of Use of the Online Tax System. Procedia - Social and Behavioral Sciences, 172, 2–9. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.01.328
  23. Qian, H.-M., Huang, H.-Z., & Li, Y.-F. (2019). A novel single-loop procedure for time-variant reliability analysis based on Kriging model. Applied Mathematical Modelling, 75, 735–748. https://doi.org/https://doi.org/10.1016/j.apm.2019.07.006
  24. Warkentin, S., Fildes, A., & Oliveira, A. (2022). Appetitive behaviors and body composition in school-age years: Bi-directional analyses in a population-based birth cohort. Appetite, 168, 105770. https://doi.org/https://doi.org/10.1016/j.appet.2021.105770
  25. Yen, C.-E., Huang, C.-C., Wen, D.-W. (Marian), & Wang, Y.-P. (2017). Decision support to customer decrement detection at the early stage for theme parks. Decision Support Systems, 102, 82–90. https://doi.org/https://doi.org/10.1016/j.dss.2017.07.005
  26. Yilmazkuday, H. (2021). Oil price pass-through into consumer prices: Evidence from U.S. weekly data. Journal of International Money and Finance, 119, 102494. https://doi.org/https://doi.org/10.1016/j.jimonfin.2021.102494