Publications & Knowledge Mobilization

The Hub is built on partnership. No single actor can solve the data, governance, and implementation challenges of natural capital valuation. We create a neutral, high-trust space where business, finance, government, Indigenous and local communities, civil society, and technology providers work side by side.

1. Biodiversity, Nature, and Natural Capital

Akbari, A., Ng, L., Pham, M. D., & Yu, J. (Forthcoming). The real effects of protecting biodiversity. Review of Finance. https://doi.org/10.1093/rof/rfaf055

Akbari, A., Ng, L., Wang, K. T., & Zhu, N. (2025). Biodiversity and earnings news: When nature meets numbers. ECGI Finance Working Paper No. 1086/2025. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5421736

Akbari, A., Ng, L., Rice, A., & Vansteenkiste, C. (In progress). The political economics of nature: Local charity and biodiversity governance.

Srivastava, A. (2025). Natural capital accounting: Miles to go before accountants sleep? Accountability in a Sustainable World Quarterly.

2. ESG, Sustainability Governance, and Policy

Attig, N., Rahaman, M., & Trabelsi, S. (2024). Creditors at the gate: Effects of selective environmental disclosure on the cost of debt. Corporate Governance: An International Review.

Ben Yahia, N., Chalwati, A., Khizer, A., Hmaied, D., & Trabelsi, S. (2023). Do foreign institutions avoid investing in poorly CSR-performing firms? Journal of Banking and Finance. (Forthcoming)

Jonathan, J., & Srivastava, A. (2025). A discussion on the global trend of climate-risk disclosures. Journal of International Accounting Research.

Rajgopal, S., Srivastava, A., & Zhao, R. (2024). Do red and blue states walk their politicians’ ESG talk? California Management Review.

Rajgopal, S., Srivastava, A., & Zhao, R. (2025). Do political anti-ESG sanctions have any economic substance? Management Science.

Srivastava, A. (2023). Rushing headlong into creating an integrated ESG reporting system: Is it harmless or harmful to society? Accountability in a Sustainable World Quarterly, 2, 155–162.

Srivastava, A., Wang, J., & Zhao, R. (2025). ESG in executive pay: Prevalence, design, role alignment, and gaps. Working paper.

3. AI for Sustainability, Risk, and Environmental Data Systems

Izadpanah, M., Vaezi, A., Asgary, A., Ayanso, A., & Kusy, M. (2025). Data-driven risk analysis and management framework for rail hazmat transportation in Canada: A machine learning approach. Reliability Engineering & System Safety. (Submitted)

Mengesha, N., & Ayanso, A. (2021). Examining the evolution of e-government development of nations through machine learning techniques. In Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry (pp. 85–107). IGI Global.

Mengesha, N., Demissie, D., & Ayanso, A. (2020). Profiles and evolution of e-government readiness in Africa: A segmentation analysis. International Journal of Information Systems and Social Change, 11(1), 43–65.

Olad, M., Khaksar, E., Ghanbari, M., Tahmooresnejad, L., Ayanso, A., Lytle, R., & Hilimoniuk, R. (2025). Enhancing environmental, social, and governance insights with structured knowledge graphs. AMCIS 2025 Proceedings.

Olad, M., Khaksar, E. N., Lytle, R., Hilimoniuk, R., Ghanbari, M., Tahmooresnejad, L., & Ayanso, A. (2025). Enhanced ESG data processing using retrieval-augmented AI. IEEE Big Data HBDA-LLM Workshop. (Accepted)

4. Machine Learning & AI Methods Supporting Sustainability Applications

These works offer technical AI methods relevant to natural-capital analytics, environmental monitoring, or sustainable operations.

Salem, A., Hegab, H., Rahnamayan, S., & Kishawy, H. A. (2022). Multi-objective optimization and innovization-based knowledge discovery of sustainable machining process. Journal of Manufacturing Systems, 64, 636–647.

Seydgar, M., Rahnamayan, S., & Ghamisi, P. (2022). Semi-supervised hyperspectral image classification using probabilistic pseudo-labelling. IEEE Transactions on Geoscience and Remote Sensing, 80, 1–18.

Lertwachara, K., Chen, L., & Ayanso, A. (In press). The impact of ICT development on economic and political fragility. Journal of Global Information Technology Management.

5. Machine Learning in Finance (Technical / Adjacent to Sustainability)

These contributions are machine-learning–based and provide methodological foundations useful for natural-capital risk assessment, climate finance, and economic forecasting.

Akbari, A., Ng, L., & Solnik, B. (2021). Drivers of economic and financial integration: A machine learning approach. Journal of Empirical Finance, 61, 82–102.

Akbari, A., & Carrieri, F. (2024). Cyclicality in the prices of risk: What more can we learn from explainable AI? SSRN Working Paper.

Liu, S., Jin, J., & Nainar, S. M. K. (2023). Does ESG performance reduce banks’ nonperforming loans? Finance Research Letters, 55, Article 103859.

6. Corporate Finance, Governance, and Accounting Research

Agarwal, N., Agarwal, S., Chalwati, A., Sisodia, S., & Trabelsi, S. (2025). Cybersecurity and cost management. The British Accounting Review.

Bouckenooghe, D., Brown, K., Trabelsi, S., & Vashahi, M. (2025). Religiosity and gender dynamics in executive leadership. Journal of Business Ethics.

Bruni-Bossio, V., Mescall, D., Schmidt, R. N., & Srivastava, A. (2025). AI is great at routine tasks. Here’s why boards should resist using it. Harvard Business Review.

Chen, L., Lertwachara, K., & Ayanso, A. (2024). ICT development and economic resilience during COVID-19. Electronic Journal of Information Systems in Developing Countries.

Chalwati, A., & Trabelsi, S. (2023). Poison pills adoption and IPO failure. China Accounting and Finance Review.

Chalwati, A., & Trabelsi, S. (2022). Real earnings management and IPO failure. Journal of Theoretical Accounting Research, 18(1), 57–86.

Fredj, I., Marjène, R. G., & Trabelsi, S. (2025). OCI information and forecast accuracy. Research in International Business and Finance, 73.

Khalifa, M., & Trabelsi, S. (2022). Recognition of bad news in bankrupt firms. China Accounting and Finance Review.

Khalifa, M., Trabelsi, S., & Matoussi, H. (2022). Leverage, R&D, and accounting conservatism. The Quarterly Review of Economics and Finance, 84, 285–304.

Lazrak, S., Han, X., & Trabelsi, S. (2022). Organization form and investment firms. International Journal of Managerial Finance.