Guidelines for tax planning and management in the industrial sector for benefit to the organization

  • Authors

    • Anchalee Donkaw Faculty of Business Administration, King Mongkut’s University of Technology, North Bangkok, Thailand
    • Assistant Professor Dr. Natha Sawetnarakul Faculty of Business Administration, King Mongkut’s University of Technology, North Bangkok, Thailand
    • Professor Dr. Thanin Silpchalu Faculty of Business Administration, King Mongkut’s University of Technology, North Bangkok, Thailand
    https://doi.org/10.14419/bh2yfy75

    Received date: May 13, 2025

    Accepted date: May 26, 2025

    Published date: May 31, 2025

  • Structural Equation Model; Taxation; Tax Management; Industrial
  • Abstract

    Thailand's industrial business sector continues to incur a significant increase in fines due to additional tax payments. This study aimed to ‎investigate guidelines for tax planning and management in the industrial sector for the benefit of the organization. The qualitative research ‎was conducted through in-depth interviews with nine experts to develop the research instrument used in the quantitative research, and a ‎focus group discussion with 11 experts was conducted to reach a consensus on the model. Moreover, data for the quantitative research survey were collected through questionnaires from 500 industrial organizations that submitted financial statements. Descriptive, referential, and ‎multivariate statistics were employed for analysis. It was found that the guidelines for tax planning and management in the industrial sector, ‎for the benefit of the organization, consisted of four components prioritized according to their arithmetic mean as follows: 1) Innovative ‎Integration (= 4. 33), designing a practical online tax guide that is conveniently accessible via mobile devices, 2) Tax Procedure (= 4. 31) to ‎promptly comply with summonses or directives from the Director General of the revenue summons, 3) Corporate Transformation (= 4. 30) ‎which defines career growth pathways for personnel working in taxation, and 4) Taxation Awareness (= 4. 23) which involves reviewing ‎tax reports for accuracy at least twice before presenting them to executives, staff, and shareholders for acknowledgment. Furthermore, hypothesis testing revealed that small and medium-sized enterprises and large businesses place significantly different levels of importance on ‎strategies for tax planning and management in the industrial business sector for organizational benefit, with statistical significance at the 0.05 ‎level. The analysis of the structural equation model indicated that it met the assessment criteria and was consistent with the empirical data. ‎The calculated values for the probability of chi-square, the relative chi-square, the index of consistency, and the root mean squared error of ‎approximation were 0. 157, 1. 1.095, 0. 959, and 0. 0.014, respectively‎.

  • References

    1. Abdel Raouf, N. (2023). The impact of financial technology innovations on the development of accounting measurements to enhance capital mar-kets to reduce tax avoidance when dealing with the electronic tax system: An empirical study. International Journal of Accounting and Manage-ment Sciences (IJAMS). https://doi.org/10.56830/IJAMS10202304.
    2. Aguzarova, F. S., & Tsirikhova, A. R. (2022). Applying the innovative tools in the activities of tax authorities. Финансы и Кредит, 28(12), 2722–2739. https://doi.org/10.24891/fc.28.12.2722.
    3. Araújo, L., Ravara Cruz, S., Lima Santos, L., & Cardoso, L. (2024). Mapping Corporate Tax Planning and Corporate Social Responsibility: A Hy-brid Method of Category Analysis. Journal of Risk and Financial Management, 17(8), 333. https://doi.org/10.3390/jrfm17080333.
    4. Bhavitha, B. (2024). Digitalisation of the tax system in India: A critical analysis (pp. 79–94). https://doi.org/10.58532/V3BBSO22P1CH11.
    5. Bodin Mahawong, & Phongwong, P. (2019). The relationship between performance and corporate income tax evasion of listed companies in the Stock Exchange of Thailand in the SET100 group. Kasetsart Business Journal, 13(18), 15–39.
    6. Čiković, K., & Glavica, K. (2023). The impact of technological innovation on modern strategic management. Notitia. https://doi.org/10.32676/n.9.1.2.
    7. Comrey, A. L., & Lee, H. B. (2013). A first course in factor analysis. Psychology Press. Digital Government Development Agency. (2022). Where do taxes go? Government spending data system. https://govspending.data.go.th/dashboard/5
    8. Digital Government Development Agency. (2024). Government spending data system. Retrieved February 18, 2025, from https://govspending.data.go.th/dashboard/5.
    9. Evadine, R., Rosmaneliana, D., Silalahi, D., Silalahi, H., & Barus, B. (2024). Inovasi pajak dalam peningkatan kepatuhan wajib pajak di Indonesia. Costing, 7(4), 8958–8966. https://doi.org/10.31539/costing.v7i4.10797.
    10. Hirmaleny, Y., Hartutik, S., Suprayogi, S., Latif, A., Fajar, N. K., Kherani, E., Suripto, S., & Holiawati, H. (2024). Reporting of individual taxpay-er annual returns with e-filing for employees. Jurnal Ilmiah Akuntansi Kesatuan. https://doi.org/10.37641/jiakes.v12i5.2959.
    11. Huang, W. T., He, L., & Zhang, J. (2022). Artificial intelligence technology and tax risk management innovation. 12288, 122881H. https://doi.org/10.1117/12.2641091.
    12. Jiang, Y. Y., Qin, J., & Khan, H. (2022). The effect of tax-collection mechanism and management on enterprise technological innovation: Evidence from China. Sustainability, 14(14), 8836. https://doi.org/10.3390/su14148836.
    13. Keller, L., Bieleke, M., & Gollwitzer, P. M. (2019). Mindset theory of action phases and if-then planning. In Sassenberg, K. & Vliek, M. L. W. (Eds.), Social psychology in action. Springer. https://doi.org/10.1007/978-3-030-13788-5_2.
    14. Lee, K., & Yoon, S. (2020). Managerial Ability and Tax Planning: Trade-Off between Tax and Nontax Costs. Sustainability, 12(1), 370. https://doi.org/10.3390/su12010370.
    15. Maphumula, F., & Njenga, K. (2019). Innovation in tax administration: Digitizing tax payments, trust, and information security risk. https://doi.org/10.1109/OI.2019.8908232.
    16. Ministry of Commerce. (2022). List of annual financial statement submitters. Retrieved May 10, 2023, from https://opendata.dbd.go.th/.
    17. Ministry of Finance. (2023). Government revenue collection results. https://dataservices.mof.go.th/menu3?id=2&page=&freq=year&yf=2561&yt=2565&sort=desc&search_text=.
    18. Mohammed, A. (2024). Investigating reskilling and up-skilling efforts in the information technology and software development sector: A case study of Kano State, Nigeria. https://doi.org/10.53555/kuey.v30i5.3543.
    19. National Economic and Social Development Board, Office of the Prime Minister. (2016). The 12th National Economic and Social Development Plan. Retrieved September 9, 2019, from https://www.nesdc.go.th/ewt_dl_link.php?nid=6422.
    20. Olabanji, S. O., Olaniyi, O. O., & Olaoye, O. (2024). Transforming tax compliance with machine learning: Reducing fraud and enhancing revenue collection. Asian Journal of Economics, Business and Accounting. https://doi.org/10.9734/ajeba/2024/v24i111572.
    21. Pandey, S. K., & Vishwakarma, S. S. (2024). Reskilling and upskilling initiatives in the Indian industrial sector. Journal of Advances and Scholarly Research in Allied Education, 21(5), 4–7. https://doi.org/10.29070/5z2rnk22.
    22. Pawłowski, K. (2024). Business transformation powered by knowledge management in the context of corporate sustainability. Proceedings of the European Conference on Knowledge Management, 25(1), 619–627. https://doi.org/10.34190/eckm.25.1.2479.
    23. Revenue Department. (2022). Tax consultation. Retrieved December 25, 2024, from https://www.rd.go.th/67413.html.
    24. Sapari, A., Abu Bakar, S. A. N., & Tanggamani, V. (2024). Impact of technological advancements in tax compliance among individuals in Southern West Malaysia. Information Management and Business Review, 16(3(I)), 427–436. https://doi.org/10.22610/imbr.v16i3(I).3995.
    25. Schwab, C. M., Stomberg, B., & Williams, B. M. (2022). Effective tax planning. The Accounting Review, 97(1), 413–437. https://doi.org/10.2308/TAR-2019-0020.
    26. Silva, P. F., Sá, C., & Eugénio, T. (2024). The Influence of Social Responsibility Practices on Tax Planning: An Empirical Study for Companies Listed on Euronext Lisbon. International Journal of Financial Studies, 12(3), 73. https://doi.org/10.3390/ijfs12030073.
    27. Skandalis, K. S., & Skandali, D. (2025). Unlocking Entrepreneurship in the FinTech Era: The Role of Tax Compliance in Business Performance. FinTech, 4(2), 12. https://doi.org/10.3390/fintech4020012.
    28. Sorawit Ma. (2023). The Thai government has little tax revenue. Collecting more does not mean the economy will collapse. https://www.the101.world/thai-government-tax-revenue/.
    29. Thanin Sinlapacharu. (2024). Research and statistical data analysis with SPSS and AMOS (18th ed.). Bangkok: Business R&D Partnership.
    30. Van de Vijver, A., Cassimon, D., & Engelen, P.-J. (2020). A Real Option Approach to Sustainable Corporate Tax Behavior. Sustainability, 12(13), 5406. https://doi.org/10.3390/su12135406.
    31. Wei, L. (2023). Enterprise fiscal and tax integration construction paths based on intelligent finance and taxation. https://doi.org/10.25236/AJBM.2023.051706.
    32. Zhu, Y. (2024). Digital technology innovation, surplus management, and analyst forecast bias. Frontiers in Sustainable Development. https://doi.org/10.54691/vya94649.
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  • How to Cite

    Donkaw , A. ., Sawetnarakul, A. P. D. N. ., & Silpchalu , P. D. T. . (2025). Guidelines for tax planning and management in the industrial sector for benefit to the organization. International Journal of Accounting and Economics Studies, 12(2), 10-17. https://doi.org/10.14419/bh2yfy75