Project Details
Description
Multinationals (MNCs) tax avoidance has become a national blight and a global problem impacting tax fairness, transparency and economic efficiency. This project aims to find the optimal solution for the tax avoidance problem for both MNCs and governments via effective cost-benefit analysis through the design of a cutting-edge interdisciplinary machine-learning technique. Expected outcomes will include profound breakthroughs for enhancing economic growth via tax policy reform in Australia but also globally through cross-country tax avoidance comparison. The benefits will be instrumental in reforming fiscal and investment policies that are highly critical for improving economic welfare and capital inflows in Australia.
| Acronym | USYD Led |
|---|---|
| Status | Finished |
| Effective start/end date | 18/12/20 → 30/06/24 |
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The Impact of AI and innovation on MNEs’ product market and financial performance
Akhtar, S., Akhtar, F. & Lu, J., Feb 2026, In: Journal of risk and financial management. 19, 2, p. 1-35 35 p., 124.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Evolution of robo-advisors: A literature review and future research agenda
Akhtar, F., Akhtar, S. & Laeeq, M., Nov 2025, In: International Journal of Consumer Studies. 49, 6, p. 1-35 35 p., e70131.Research output: Contribution to journal › Review article › peer-review
2 Link opens in a new tab Citations (Scopus)