COURSE DETAIL
COURSE DETAIL
This course offers a study of knowledge management, defined as the systematic, explicit, and deliberate acquisition, storage, and application of organizational knowledge, aimed at maximizing organizations' return on knowledge assets. The course discusses topics including the acquisition, selection, generation, internalization, and externalization of knowledge; how knowledge can be used effectively in specific environments; the role of information technology; and the challenges associated with the implementation of knowledge management. The course focuses on a fundamental question, “how can we manage knowledge?” The course addresses this question through the use of academic and business press readings and a diverse set of company cases. Students are evaluated by their participation and a written exam.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
The focus of the course is on the role of information in a wide spectrum of examples and contexts, ranging from individual decision-making to collective choice, to strategic interactions between asymmetrically informed parties, to markets under asymmetric information. The course launches with individual decision-making. It examines how new information is used to update decision-makers’ beliefs and revise their actions, culminating with the notion of the value of information. Next, the course turns to collective decision-making. It scrutinizes procedures for aggregating individual preferences and raises issues of efficiency, justice, strategic voting, and manipulations of private information. Finally, the course makes an excursion into the field of information economics. It looks at contract design to provide specific incentives: for instance, to the experts with superior knowledge to report their information faithfully, or to the employees to exert a certain level of effort. Finally, the course discusses the impact of asymmetric information on the insurance markets.
COURSE DETAIL
COURSE DETAIL
COURSE DETAIL
This course offers a study of applied econometrics. Topics include: linear regression; univariate time series analysis; extensions of linear regression; advanced univariate time series analysis; advanced analysis of cross section data; panel data analysis.
COURSE DETAIL
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