In this paper we explore the degree to which patents are representative of the magnitude,
direction, and impact of the knowledge spilling out of the university by focusing on MIT, and in particular on the departments of Mechanical and Electrical…

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

The purpose of this paper is to introduce patent litigation as a leading indicator of market
growth. We model the intensity of patent litigation and the market growth for the
personal computer and cellular phone market in the US. By…

by Kah-Peng Aw., Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2001., Includes bibliographical references (leaf 55).

Organizations must establish processes for managing knowledge across boundaries because of the specialized and task-dependent forms of knowledge required to deliver products and services. To address this challenge an integrative framework is developed that identifies and integrates the value of…

This paper investigates the potential for a carbon tax to induce R&D, and for the consequent induced technical change (ITC) to lower the macroeconomic cost of abating carbon emissions. ITC is modelled within a general equilibrium simulation of the U.S.…

The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain…

The thesis explores a puzzle in technological capability development: many firms in China follow the "normal" way of technological capability development suggested by the existing literature but have not made much progress, while some firms that deviate from the "normal"…

This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…

Computers have dramatically changed the nature of structural engineering practice by shifting work from process-oriented tasks, such as performing hand calculations and drafting, to structural modeling and interpretation of computer results. To perform these new functions, engineers need to have…