Taxpayer Compliance: Bibliometric Analysis of Social and Economic Factors
DOI:
https://doi.org/10.58812/wsis.v3i11.2373Keywords:
Taxpayer Compliance, Bibliometric Analysis, Social Norms, Economic Factors, E-Filing, Artificial Intelligence, Tax Policy, International Collaboration, Tax EvasionAbstract
This paper performs a bibliometric analysis to delineate the developing research landscape of taxpayer compliance, emphasizing social and economic issues. The analysis identifies significant trends in compliance research, highlighting the increasing impact of societal norms, governmental trust, and economic factors. It also addresses developing subjects, such as the incorporation of technical instruments like artificial intelligence and electronic filing in tax systems. This study highlights the significance of international collaboration in tackling issues associated with tax compliance through the analysis of worldwide research partnerships. Notwithstanding certain limitations, such as the omission of non-English studies, the results enhance comprehension of the intricate interplay among policy, technology, and taxpayer behavior, establishing a basis for subsequent study in the domain.
References
[1] B. Torgler, “Tax morale, eastern Europe and European enlargement,” Communist Post-Communist Stud., vol. 45, no. 1–2, pp. 11–25, 2012.
[2] G. Richardson, “Determinants of tax evasion: A cross-country investigation,” J. Int. Accounting, Audit. Tax., vol. 15, no. 2, pp. 150–169, 2006.
[3] E. Kirchler, The economic psychology of tax behaviour. Cambridge university press, 2007.
[4] N. Cahyonowati, “Bibliometric Analysis of Social Norms in Tax Compliance,” J. PROAKSI Учредители LPPM Univ. Muhammadiyah Cirebon, vol. 11, no. 4, pp. 817–840, 2024.
[5] L. P. Feld and B. S. Frey, “Tax compliance as the result of a psychological tax contract: The role of incentives and responsive regulation,” Law Policy, vol. 29, no. 1, pp. 102–120, 2007.
[6] J. Slemrod, “Cheating ourselves: The economics of tax evasion,” J. Econ. Perspect., vol. 21, no. 1, pp. 25–48, 2007.
[7] M. Aria and C. Cuccurullo, “bibliometrix: An R-tool for comprehensive science mapping analysis,” J. Informetr., vol. 11, no. 4, pp. 959–975, 2017.
[8] A. S. Jenkins, M. L. Moore, J. R. Pollock, J. C. Brinkman, J. Verhey, and A. Chhabra, “The 50 most cited papers pertaining to American football: analysis of studies from the past 40 years,” Orthop. J. Sport. Med., vol. 10, no. 12, p. 23259671221141090, 2022.
[9] N. J. van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010, doi: 10.1007/s11192-009-0146-3.
[10] I. Zupic and T. Čater, “Bibliometric methods in management and organization,” Organ. Res. methods, vol. 18, no. 3, pp. 429–472, 2015.
[11] N. J. Van Eck and L. Waltman, “Citation-based clustering of publications using CitNetExplorer and VOSviewer,” Scientometrics, vol. 111, no. 2, pp. 1053–1070, 2017.
[12] A. W. Prananta, L. Maulidiana, S. A. Sufa, and M. A. Wahyudi, “Impact of Digital Marketing Strategies on Consumer Purchasing Decisions in the Indonesian Market: The Mediating Role of Customer Satisfaction,” Int. J. Business, Law, Educ., vol. 5, no. 1, pp. 530–538, 2024.
[13] J. Alm and B. Torgler, “Culture differences and tax morale in the United States and in Europe,” J. Econ. Psychol., vol. 27, no. 2, pp. 224–246, 2006.
[14] D. D. Bobek, A. M. Hageman, and C. F. Kelliher, “Analyzing the role of social norms in tax compliance behavior,” J. Bus. ethics, vol. 115, no. 3, pp. 451–468, 2013.
[15] S. Muehlbacher, E. Kirchler, and H. Schwarzenberger, “Voluntary versus enforced tax compliance: Empirical evidence for the ‘slippery slope’ framework,” Eur. J. Law Econ., vol. 32, no. 1, pp. 89–97, 2011.
[16] P. Jimenez and G. S. Iyer, “Tax compliance in a social setting: The influence of social norms, trust in government, and perceived fairness on taxpayer compliance,” Adv. Account., vol. 34, pp. 17–26, 2016.
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