Professor Hassan’s areas of expertise include leadership, public management, and organizational behavior. His work bridges the fields of Public Management and Organizational Behavior. He is currently pursuing several lines of research. He has done extensive research on how leadership practices and perceptions about work environment shape work attitudes and behaviors of public sector employees, particularly those who work in law enforcement. The second area of his research focuses on how social identity and relational differences shape experiences and career outcomes of underrepresented groups in public organizations. An emerging line of Professor Hassan’s research focuses on how job demands and resources shape work attitudes and behaviors of criminal justice actors. His research has appeared in a wide range of outlets including the Journal of Public Administration Research and Theory, Public Administration Review, Public Management Review,Journal of Interpersonal Violence, and Journal of Business Ethics.
Professor Hassan earned his Ph.D. from the State University of New York at Albany (Rockefeller College of Public Affairs). He is affiliated with the Local Government Research Initiative at the University of North Carolina at Chapel Hill and the Center for Organization Research and Design at the Arizona State University. He is a Visiting Professor in the School of Business and Social Sciences at Aarhus University in Denmark.
In July 2020, Columbus City leaders commissioned an independent, outside after-action review of the City’s response to protests that took place last summer. Former U.S. Attorney for the Southern District of Ohio Carter Stewart and the John Glenn College of Public Affairs were named the lead investigative team.
In this study, published in Economic Development Quarterly, the authors present a statistically valid typology of high-growth firms, also known as gazelles, to determine if payroll and job growth patterns differ between groups or clusters.
This study, published in the Bulletin of the American Meteorological Society, presents an experimental design that overcomes the counterfactual problem present in all prior published experiments by relying on an actual storm with a known outcome.