Journals / Maliye Dergisi / 2020 / Sayı: 179

Industry 4.0, Big Data Analytics and Transformation in Tax Systems

Endüstri 4.0, Büyük Veri Analitiği ve Vergi Sistemlerinde Dönüşüm

Pages
240–266
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

While taxpayers' optimization behavior for tax savings with new business models and technologies causes loss of income; these phenomena provide the administration with more opportunities for effective tax management at all stages of taxation, from taxation methods to taxpayer-administration relations and auditing.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Industry 4.0 and big data analysis, one of the key technologies of industry 4.0, while reshaping economic and social life, bring with them many opportunities and risks for public administrations.
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Key Findings & Data:The aim of this study is to evaluate the potential impact channels of Industry 4.0 and big data analytics in the design and implementation of tax systems.
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Conclusion & Impact:While taxpayers' optimization behavior for tax savings with new business models and technologies causes loss of income; these phenomena provide the administration with more opportunities for effective tax management at all stages of taxation, from taxation methods to taxpayer-administration relations and auditing.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Industry 4.0 and big data analysis, one of the key technologies of industry 4.0, while reshaping economic and social life, bring with them many opportunities and risks for public administrations. The aim of this study is to evaluate the potential impact channels of Industry 4.0 and big data analytics in the design and implementation of tax systems. While taxpayers' optimization behavior for tax savings with new business models and technologies causes loss of income; these phenomena provide the administration with more opportunities for effective tax management at all stages of taxation, from taxation methods to taxpayer-administration relations and auditing.

Özet

Endüstri 4.0 ve temelini oluşturan teknolojilerden büyük veri analitiği, ekonomik ve toplumsal hayatı yeniden şekillendirirken kamu idareleri için de birçok fırsat ve riski beraberinde getirmektedir. Bu çalışmanın amacı Endüstri 4.0 ve büyük veri analitiğinin vergi sistemlerinin dizaynı ve uygulanması noktasında potansiyel etki kanallarının değerlendirilmesidir. Mükelleflerin yeni iş modelleri ve teknolojiler vasıtasıyla vergi tasarrufuna yönelik optimizasyon davranışları gelir kaybına neden olurken söz konusu olgular vergilendirme yöntemlerinden mükellef-idare ilişkilerine ve son aşamada denetime kadar vergileme sürecinin tamamında idareye daha etkin vergi yönetimi için imkânlar sunmaktadır.

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Cite This Article

İLGÜN, M. F. (2020). Industry 4.0, Big Data Analytics and Transformation in Tax Systems. Maliye Dergisi, Sayı: 179, 240–266. https://ajindex.com/articles/197012

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References (12)

  1. Accenture (2017), Taxpayer Survey 2017, https://newsroom.accenture.com/ news/most-us-citizens-experiencing-cyber-insecurity-and-wish-governme nt-agencies-had-stronger-cyber-defense-mechanisms-to-protect-their-digi tal-data-accenture-research-finds.htm (Erişim Tarihi: 19.01.2020)
  2. Aslam, A. ve Shah, A. (2017), “Taxation and the Peer-to-Peer Economy”, S. Gupta, M. Keen, A. Shah, G. Verdier, (der.), Digital Revolutions in Public Finance içinde, Washington: IMF, 57-90. Bacache‐Beauvallet, M. ve Bloch, F. (2018), “Special Issue on Taxation in the Digital Economy”, Journal of Public Economic Theory, 20(1), 5-8.
  3. Baisalbayeva, K., Enden, E., Tenan, R. ve Flores, R. (2018a), “The Data Intelligent Tax Administration”, Microsoft and PricewaterhouseCoopers Report, www.pwc.com/ (Erişim Tarihi: 20.10.2019)
  4. Baisalbayeva, K., Enden, E., Tenan, R. ve Flores, R. (2018b), “Digital Transformation of Tax Administration”, Microsoft and PricewaterhouseCoopers Publication, www.pwc.com/ (Erişim Tarihi: 22.10.2019)
  5. BEA (2019), “Toward a Digital Economy Satellite Account”, the US Bureau of Economic Analysis, https://www.bea.gov/data/special-topics/digitaleconomy (Erişim Tarihi: 03.04.2020)
  6. Beyer, M.A. ve Laney, D. (2012), “The Importance of Big Data: A Definition”, Gartner Report, https://www.gartner.com/doc/2057415/ importance-big-data-def-initiom (Erişim Tarihi: 22.03.2020)
  7. Deloitte (2015), “When Tax Meets Technology: Tax Implications of Industry 4.0”, Deloitte Inc. Tax Report, https://www2.deloitte.com (Erişim Tarihi: 06.08.2019)
  8. Deloitte (2018), “Artificial Intelligence, Entering the World of Tax”, Deloitte Inc. Tax Report, https://www2.deloitte.com (Erişim Tarihi: 17.12.2019)
  9. Devereux, M.P. ve Vella, J. (2017), “Implications of Digitalization for International Corporate Tax Reform”, S. Gupta, M. Keen, A. Shah, G. Verdier (der.), Digital Revolutions in Public Finance içinde, Washington: IMF, 91-112.
  10. Earley, C.E. (2015), “Data Analytics in Auditing: Opportunities and Challenges”, Business Horizons, 58(5), 493-500.
  11. Eggers, W.D. ve Macmillan, P. (2015), Gov2020: A Journey into the Future of Government, Deloitte Report, https://www2.deloitte.com/tr/tr/pages/ public-sector/articles/gov2020-journey-future-government.html (Erişim Tarihi: 03.11.2018)
  12. European Commission (2014), “Expert Group on Taxation of the Digital Economy”, Taxation and Customs Union Report, https://ec.europa.eu/taxation_customs/business/company-tax/tax-goodgovernance/expert-group-taxation-digital-economy_en (Erişim