Letter From the Chair
Welcome to the Management Division of Columbia Business School! Our website offers a window into the teaching and research activities of the division.
We explore the forces that affect the performance of organizations by studying individual and interpersonal behavior, group interactions, organizational structure and strategic interactions. The insights are relevant for established and large firms to small and growing entrepreneurial ventures. The members of our division are scholars and practitioners that shed light on management questions from different disciplines that include psychology, strategy, sociology, political science, and economics.
The Management Division prepares leaders for the future of business based on our theoretical and empirical research at the scientific frontier. We publish cutting edge research and translate it into insights that are practical and tangible for business leaders of today and tomorrow.
Stephan Meier
James P. Gorman Professor of Business; Chair of Management Division
In the Media
When AI Teammates Come on Board, Performance Drops
Mentioned Faculty (1)
Why Giving Shoppers an Easy Way to Return Items Has Become Retail Gold
Mentioned Faculty (1)
Matthew Quint is Director of the Center on Global Brand Leadership. Matthew researches, writes, and presents on a wide range of issues critical to building a strong brand. His expertise is in marketing ROI, strategies for marketing in the digital age, and the development of creative and effective brand communications. He is also the producer and host of the Center's BRITE conference.
5 Learning and Development Insights for Employee Equity and Growth
Mentioned Faculty (1)
Adam Galinsky is the Vice Dean for Diversity, Equity and Inclusion and Paul Calello Professor of Leadership and Ethics at the Columbia Business School.
Professor Galinsky has published more than 300 scientific articles, chapters, and teaching cases in the fields of management and social psychology. His research and teaching focus on leadership, negotiations, diversity, decision-making, and ethics.
AI Will Change Work, for Better and Worse
Mentioned Faculty (1)
Daniel (Dongil) Keum is an Associate Professor of Management at Columbia Business School. His research interests lie in innovation, organizational structure, labor market policy, and their application to public policy formation. He holds a PhD from NYU Stern School of Business and an AB with high honors in economics and mathematics from Dartmouth College. Prior to pursuing a career in academia, Daniel worked at McKinsey & Company for four years. His primary industry experience is in retail, fashion, and corporate portfolio restructuring.
AI Will Change Work, for Better and Worse
Mentioned Faculty (1)
Daniel (Dongil) Keum is an Associate Professor of Management at Columbia Business School. His research interests lie in innovation, organizational structure, labor market policy, and their application to public policy formation. He holds a PhD from NYU Stern School of Business and an AB with high honors in economics and mathematics from Dartmouth College. Prior to pursuing a career in academia, Daniel worked at McKinsey & Company for four years. His primary industry experience is in retail, fashion, and corporate portfolio restructuring.
Research
The Macroeconomics of Stakeholder Equilibria*
We propose one route to a more inclusive society. Our context is the prevailing one of high wealth inequality where stockholders alone supply the stochastic discount factor governing the allocation of capital. A large and pervasive pecuniary externality is thus imposed on non-stockholder workers, something we view as antithetical to the notion of an inclusive society.
The Language of (Non)replicable Social Science
Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.
Carbon Dioxide as a Risky Asset
We develop a financial-economic model for carbon pricing with an explicit representation of decision making under risk and uncertainty that is consistent with the Intergovernmental Panel on Climate Change’s sixth assessment report. We show that risk associated with high damages in the long term leads to stringent mitigation of carbon dioxide emissions in the near term, and find that this approach provides economic support for stringent warming targets across a variety of specifications.
Central Bank Credibility and Fiscal Responsibility
We consider a New Keynesian model with strategic monetary and fiscal interactions. The fiscal authority maximizes social welfare. Monetary policy is delegated to a central bank with an anti-inflation bias that suffers from a lack of commitment. The impact of central bank hawkishness on debt issuance is non-monotonic because increased
A Q Theory of Internal Capital Markets
We propose a tractable model of dynamic investment, spinoffs, financing, and risk management for a multi-division firm facing costly external finance. Our analysis formalizes