Prana´s research focuses on the intersection of decision science and operations management. He is equally intrigued by the two prominent perspectives on decision-making: heuristics as biases and heuristics as smart, adaptive strategies.

In his dissertation, he investigated how algorithmic recommendations shape human behavior in the classic newsvendor problem. His current work includes advancing methodologies to enhance transparency and rigor in experimental research, as well as studying decision-making based on experience. He also serves as a faculty co-director of the Nova Behavioral Lab.

He holds a PhD from IE Business School in Madrid and a Master’s degree in Electrical and Computer Engineering from the University of Texas at Austin.

2023 - PhD in Management, IE University

2020 - Master in Research in Management, IE University

2012 - Master of Science in Electrical and Computer Engineering, University of  Texas at Austin

2010 - Degree in Electrical and Electronics Engineering, National Institute of Technology, Trichy

Decision-making under risk and uncertainty

• Narayanan, Pranadharthiharan, Somasundaram, Jeeva, Seifert, Matthias (2024). Risk-averse algorithmic support and inventory management. (Accepted/In press) European Journal of Operational Research, 322 (3), 993-1004.
• Jain, Kriti, Narayanan, Prana (2020). Una evaluación seria (hasta cierto punto) del humor en el lugar del trabajo. Harvard Deusto Business Review, 299, 49-51.