Mikko Ranta
Mikko Ranta serves as Professor of Business Administration at JIBS, a position he has held since 2025. His professorship is primarily focused on statistical finance. Professor Ranta’s research interests encompass the impact and applications of artificial intelligence, data analytics, and financial technology within the finance profession and scholarly research. He has published extensively in leading academic journals, and his work has been featured in prominent international media outlets, including The Financial Times (UK), The Wall Street Journal (USA), and Harvard Business Manager (Germany).
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                                     Agapova, A.,              King, T.,              Ranta, M.          
  (2025).
  Navigating transparency: The interplay of ESG disclosure and voluntary earnings guidance    International Review of Financial Analysis, 97.
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                                     Shahzad, K.,              Helo, P.,              Ranta, M.,              Nousiainen, E.          
  (2025).
  Blockchain technology for operational excellence and supply chain resilience: a framework based on use cases and an architecture demonstration    Technology Analysis & Strategic Management, 37(9), 1078-1095.
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                                     Shamsuzzoha, A.,              Shahzad, K.,              Nousiainen, E.,              Ranta, M.,              Helo, P.,              Govindan, K.          
  (2025).
  Ensuring Supply Chain Transparency by Deploying Blockchain-Enabled Technology: An Overview With Demonstration    International Journal of Intelligent Systems, 2025(1).
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                                     Ylinen, M.,              Ranta, M.          
  (2025).
  Predicting corporate innovation using machine learning and social media data    Technovation, 148.
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                                     Ialongo, I.,              Virta, H.,              Hakkarainen, J.,              Özcan, C.,              Ranta, M.,              Zieleniewski, S.          
  (2025).
  Unveiling nitrogen oxide emissions from open-pit copper mines through satellite observations    Environmental Research Letters, 20(3).
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                                     Kohtamäki, M.,              Bhandari, K.,              Rabetino, R.,              Ranta, M.          
  (2024).
  Sustainable servitization in product manufacturing companies: The relationship between firm's sustainability emphasis and profitability and the moderating role of servitization    Technovation, 129.
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                                   Kumar, A.,              King, T.,              Ranta, M.          
  (2024).
  Corporate governance characteristics and involvement in ESG activities: current trends and research directions.
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                                     Ranta, M.,              Ylinen, M.          
  (2024).
  Employee benefits and company performance: Evidence from a high-dimensional machine learning model    Management Accounting Research, 64.
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                                     Toivonen, N.,              Salo-Lahti, M.,              Ranta, M.,              Haapio, H.          
  (2024).
  AI-enhanced fresh starts: Proactive financial health care with AI as a personalized coach    Jusletter IT, 77-84.
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                                     Ylinen, M.,              Ranta, M.          
  (2024).
  Employer ratings in social media and firm performance: Evidence from an explainable machine learning approach    Accounting and Finance, 64(1), 247-276.
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                                     Nousiainen, E.,              Ranta, M.,              Ylinen, M.,              Järvenpää, M.          
  (2024).
  Using machine learning and 10-K filings to measure innovation    Accounting and Finance, 64(4), 3211-3239.
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                                     Ahmed, S.,              Ranta, M.,              Vähämaa, E.,              Vähämaa, S.          
  (2023).
  Facial attractiveness and CEO compensation: Evidence from the banking industry    Journal of Economics and Business, 123.
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                                     Ranta, M.,              Ylinen, M.,              Järvenpää, M.          
  (2023).
  Machine Learning in Management Accounting Research: Literature Review and Pathways for the Future    The European Accounting Review, 32(3), 607-636.
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                                     Bhandari, K.,              Zámborský, P.,              Ranta, M.,              Salo, J.          
  (2023).
  Digitalization, internationalization, and firm performance: A resource-orchestration perspective on new OLI advantages    International Business Review, 32(4).
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                                     Ranta, M.,              Ylinen, M.          
  (2023).
  Board gender diversity and workplace diversity: a machine learning approach    Corporate Governance :  The International Journal of Effective Board Performance, 23(5), 995-1018.
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                                     Salo-Lahti, M.,              Ranta, M.,              Haapio, H.          
  (2023).
  AI tools for sustainability – Actionable information for both humans and machines    Jusletter IT, 199-209.
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                                     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).
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                                     Bhandari, K.,              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.
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                                     Garanina, T.,              Ranta, M.,              Dumay, J.          
  (2022).
  Blockchain in accounting research: current trends and emerging topics    Accounting, Auditing and Accountability Journal, 35(7), 1507-1533.
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                                     Ranta, M.          
  (2013).
  Contagion among major world markets: A wavelet approach    International Journal of Managerial Finance, 9(2), 133-149.
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                                     Ranta, M.          
  (2013).
  Contagion among major world markets: a wavelet approach    International Journal of Managerial Finance, 9(2), 133-149.
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                                     Nikkinen, J.,              Pynnönen, S.,              Ranta, M.,              Vähämaa, S.          
  (2011).
  Cross-dynamics of exchange rate expectations: A wavelet analysis    International journal of finance and economics, 16(3), 205-217.
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                                       Nieppola, E.
                Tornikoski, M.
                Lähteenmäki, A.
                Valtaoja, E.
                Hakala, T.
                Hovatta, T.
            , ... Tröller M.
    
  (2007).
  37 GHz Observations of a Large Sample of BL Lacertae Objects    Astronomical Journal, 133(5), 1947-1953.
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