A systematic analysis of the creation and publication of accounting research. Perspectives from authors, reviewers, editors, and other consumers of accounting research will be investigated. The course will build students' skills in the presentation of accounting research, the responses to constructive critiques, and the fair evaluation of accounting research contributions.

Contact department for description.

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.

Classroom readings, lectures, and discussion will focus on providing students with a better understanding of marketing and consumer behavior in the sport context.

Examines research and scholarly approaches to organization theory by investigating both the concept 'organization' and the concept 'theory'. Presents such perspectives as decision theory, structural contingency theory, institutional theory, transaction cost economics, and network theory.

Presentation of journal reports on business topics utilizing a quantitative approach.

Introduction to basic issues in research design; emphasis on methods allowing inference of cause-and-effect relationships.

Theories and empirical applications of organizational behavior in contemporary research. Topics include motivations, organizational justice, attitudes, leadership, and groups. Participants critically analyze and research theoretical articles on current issues. Focus on building knowledge and research skills.

This course develops skills in prescriptive analytics for business process modeling and optimization. It examines systems where scarce resources must be allocated in a manner that furthers the goal of the decision-maker. It focuses on model building using linear and mixed-integer programming for applications arising in production, logistics, supply chain management, and finance, among others. Innovative modeling techniques, the use of state-of-the-art commercial solvers, and insights into specially-structured models are explored in the context of business and engineering applications.

Contact department for description.