Agustine Dwianika

Papers

Total Citations

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About

Dr. Agustine Dwianika is a forward-thinking scholar at the intersection of taxation and emerging technology, with a primary research focus on tax compliance and the transformative role of artificial intelligence in fiscal policy. Her most cited work, "Tax Compliance: Development of Artificial Intelligence on Tax Issues" (2023, 12 citations), offers a pioneering exploration of how robotic process automation and AI-driven statistical analysis can revolutionize corporate tax behavior. In this study, Dwianika provides actionable insights for managers and policymakers, demonstrating how intelligent systems can forecast compliance patterns and present data-driven alternatives to enhance corporate tax adherence. Beyond this flagship paper, her research consistently bridges the gap between legal frameworks and technological innovation, positioning her as a key voice in the digital transformation of public finance. Dr. Dwianika’s contributions are particularly valuable for students and researchers interested in the practical applications of AI in governance, as she not only identifies theoretical breakthroughs but also outlines concrete tools for decision-makers navigating the complexities of modern tax systems. Her work signals a critical shift toward data-driven, ethically informed tax administration in an increasingly automated world.