Hazhir Rahmandad


Hazhir Rahmandad


Hazhir Rahmandad is the Mitsubishi Career Development Professor and an Associate Professor of System Dynamics at the MIT Sloan School of Management.

Hazhir's research shows how complex organizational dynamics can lead to heterogeneity in organizational practices and outcomes. He has analyzed how organizations learn in the presence of delays between taking action and observing the results, and has shown through empirical data and simulations the resulting learning challenges. Hazhir's strategy research has explored the shape of organizational performance landscapes, capability development tradeoffs under competition, and erosion of organizational capabilities through adaptation traps. In another stream of work he has studied public health problems, including obesity and depression dynamics, and comparing different modeling methodologies in application to epidemics, among others. Hazhir also contributes to expanding the dynamic modeling toolbox through advancing parameter estimation and validation methods for dynamic models.

Hazhir has published in diverse journals including Management ScienceOrganization ScienceStrategic Management Journal, Strategy Science, Journal of Operations ManagementInternational Journal of Obesity, and System Dynamics Review, among others. He has been a reviewer for over 30 NIH and NSF panels and over two dozen different journals, and his research has been funded by the National Science Foundation, National Institutes of Health, Department of Housing and Urban Development, and private sector firms.

Hazhir holds a BS in industrial engineering from Sharif University of Technology and a PhD in management with system dynamics concentration from MIT. Before joining MIT Sloan in 2015, Hazhir was an Associate Professor of Industrial and Systems Engineering at Virginia Tech.


Hazhir Rahmandad wins Jay Wright Forrester award


"If Higher Pay Is Profitable, Why Is It So Rare? Modeling Competing Strategies in Mass Market Services."

Rahmandad, Hazhir, and Zeynep Ton. Organization Science. Forthcoming.

"Explaining Heterogeneity in the Organization of Scientific Work."

Rahmandad, Hazhir and Keyvan Vakili. Organization Science Vol. 30, No. 6 (2019): 1125-1145. Download Paper.

"Interdependence, Complementarity, and Ruggedness of Performance Landscapes."

Rahmandad, Hazhir. Strategy Science Vol. 4, No. 3 (2019): 234-249.

"Can Learning and Markets Solve Challenges to Dynamic Decision Making?"

Hazhir Rahmandad, Jerker Denrell, and Dražen Prelec. In Proceedings of 37th International Conference of the System Dynamics Society, 2019, Albuquerque, NM: July 2019.

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