Mostafa Goudarzi

Mostafa Goudarzi

Postdoctoral Researcher in Finance & Business Analytics

LUT Business School, Finland

At LUT Business School, I investigate how technology reshapes decision-making and collective behavior across financial markets, workplace environments, and social interactions. My work focuses on the behavioral foundations of strategic actions under uncertainty, exploring how emerging technologies—such as generative AI and digital trading platforms—influence human judgment, coordination, and market dynamics.

I have designed, programmed, and managed several experiments and surveys across a variety of settings, and worked extensively with big data and machine learning applications in finance. I am passionate about data-driven methodologies, causal inference, game-theoretical analysis, and the study of collective (irrational) behavior.

Current Research Projects

GAI Adoption and Behavioral Mapping in Workplaces

This project examines how employees interact with emerging digital tools like generative AI in real-world settings. Behavioral profiling, organizational analysis, and usage data are combined to identify adoption patterns, psychological drivers, and barriers to responsible technology integration.

Behavioral Dynamics of Collective Trading and Market Sentiment

This research explores how social information and group behavior influence speculative trading patterns. Experimental methods are used to study how sentiment, peer influence, and strategic manipulation shape decision-making in volatile asset markets.

AI-Assisted Communication and Human Persuasion

This project investigates the effects of AI-generated and AI-edited content on interpersonal communication and persuasion. The focus is on how perceptions of authenticity, trust, and willingness to cooperate are impacted in AI-mediated social interactions.

Selected Publications

Published Work

Working Papers

  • Fairness in Real Option Games

    Co-authored with: Luigi Mittone, Azzurra Morreale, Flavio Bazzana, Lenos Trigeorgis

    Summary: In this paper, we enhance the traditional Real Options Game (ROG) framework by integrating fairness concerns. We investigate decision-making in a leader-follower game, where leaders face the choice of imposing risky outcomes on followers or delegating decisions.

  • Choice Under the Radar: Experimental Insights into the Shadow Economy and Tax Evasion

    Co-authored with: Luigi Mittone

    Summary: In this study, we simulate a credit market in a laboratory setting to investigate how the presence of a shadow economy influences tax behavior under a variety of treatments.

Teaching Experience

LUT Business School, Finland (2023-Present)

  • Introduction to Programmatic Business Analytics: The basics of Python for bachelor's students
  • Analytics for Business: Machine learning techniques using Matlab and Python for master's students
  • Investment and Business Analysis in Excel: Data analysis, portfolio optimization, and investment modeling using Excel and VBA

Get in Touch

Feel free to reach out for collaborations or discussions about research opportunities.

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