Contact department for description.

Contact department for description.

This seminar introduces and trains students in the process of analyzing unstructured qualitative data using interpretive methods. It covers the philosophy, theory, and methodology of interpretive analysis used in marketing and other social science disciplines, including coding, cases, themes, and theory development. The seminar provides analytical tools for qualitative researchers and others to strengthen the conceptual and practical contributions of their work.

Not available at this time

In this course we'll see models of asset prices that try to explain observed features of asset prices using macroeconomic quantities. The goal is to discuss plausible microfounded models whose asset pricing predictions match empirical facts. We will go through the details of the models, trying to understand why they were constructed the way they are, and also work on linking models and data. We'll also discuss recent advances in asset pricing and their implications for future research.

The course is intended to expose doctoral students to the major research areas that underpin the field of international management. Some of the areas will include the impact of globalization, the role of multinational corporations, international entry modes, and corporate and national culture. A number of seminal articles will be assigned to familiarize students with the variety of theoretical and empirical approaches used in the study of international management.

The course will introduce you to research and theory on Information Systems, focusing on the theories applied to behavioral, managerial, societal and organizational issues in the field. The Information Systems discipline lies at the intersection of a number of fields such as Computer Science/Information Technology, Psychology, Strategy and Sociology. The aim of the discipline is to understand, predict, and support the effective design, use, and management of information technology in organizations, markets and societies.

The course covers advanced topics in financial intermediation, including mutual funds, dealers, and hedge funds. It introduces the business model of each of these intermediaries, including how they manage liquidity, credit, and interest rate risk.

This doctoral seminar examines how artificial intelligence is reshaping business, organizations, and the nature of work. The course analyzes AI not merely as a technology but as a general-purpose technology with profound implications for competitive advantage, firm boundaries, innovation processes, individual cognition, team processes, the nature of work, and the structure of markets and institutions. The seminar integrates perspectives from strategy, organizational theory, economics of innovation, labor economics, information systems, and cognitive science.