Mikko Ranta
Associate Professor (tenure track)
Fabriikki F336

Research
I'm an associate professor of accounting (tenure track) at the School of Accounting and Finance, and a member of the Digital Economy research platform. My research interests include data analytics, FinTech, and machine learning and their impact and applications on the accounting profession and research.
A few recent publications
Kohtamäki, M., Bhandari, K. R., Rabetino, R., & Ranta, M. (2023). Sustainable servitization in product manufacturing companies: The relationship between firm's sustainability emphasis and profitability and the moderating role of servitization. Technovation, 102907. https://doi.org/10.1016/j.technovation.2023.102907
Ylinen, M., & Ranta, M. (2023). Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach. Accounting & Finance, https://doi.org/10.1111/acfi.13146
Bhandari, K. R., Zámborský, P., Ranta, M., & Salo, J. (2023). Digitalization, internationalization, and firm performance: A resource-orchestration perspective on new OLI advantages. International Business Review, https://doi.org/10.1016/j.ibusrev.2023.102135
Salo-Lahti, M., Ranta, M., & Haapio, H. (2023). AI tools for sustainability. Jusletter IT, 30-maerz-2023.
Talaoui, Y., Kohtamäki, M., Ranta, M., & Paroutis, S. (2023). Recovering the divide: A review of the big data analytics—strategy relationship. Long Range Planning, 56(2), https://doi.org/10.1016/j.lrp.2022.102290
Ranta, M., & Ylinen, M. (2023). Board gender diversity and workplace diversity: A machine learning approach. Corporate Governance: The International Journal of Business in Society, forthcoming, https://doi.org/10.1108/CG-01-2022-0048
Ranta, M. and Ylinen, M. and Järvenpää, M. (2022). Machine Learning in Management Accounting Research: Literature Review and Pathways for the Future. European Accounting Review, forthcoming, Available at https://www.tandfonline.com/doi/full/10.1080/09638180.2022.2137221
Ahmed, S., Ranta, M., Vähämaa, E. & Vähämaa, S. (2022). Facial attractiveness and CEO compensation: Evidence from the banking industry. Journal of Economics and Business, forthcoming.
Bhandari, K. R., Ranta, M., & Salo, J. (2022). The resource-based view, stakeholder capitalism, ESG, and sustainable competitive advantage: The firm's embeddedness into ecology, society, and governance. Business Strategy and the Environment, 31(4), 1525–1537. https://doi.org/10.1002/bse.2967
Garanina, T., Ranta, M., & Dumay, J. (2021). Blockchain in accounting research: Current trends and emerging topics. Accounting, Auditing & Accountability Journal, 35(7), 1507–1533. https://doi.org/10.1108/AAAJ-10-2020-4991
Teaching
I teach mainly advanced data analytics and machine learning methods for accounting and finance students. The courses include Introduction to Analytics in Accounting, Big Data Analytics and Machine Learning in Accounting, and Artificial Intelligence: Concepts, Challenges, and Opportunities.