报告人：Professor Paulo B. Goes, University of Arizona
报告题目：The role of IT in Exploring the Innovation Ecosystem
报告时间：2010年6月21日下午15点
报告地点：1102会议室
主持人：刘渊教授
报告人简介
Paulo Goes is the Salter Distinguished Professor of Management and Technology and the head of the Management Information Systems Department at the Eller College, University of Arizona. He received his PhD from the University of Rochester and was in the faculty of the University of Connecticut for a number of years before he joined the University of Arizona.
Dr. Goes’ research interests are in the areas of design and evaluation of IT-enabled business models, innovation exploration, emerging technologies, online auctions, database technology and systems, and technology infrastructure. His research has appeared in several journals including Management Science, Management Information Systems Quarterly, Information Systems Research, Journal of MIS, Operations Research, INFORMS Journal on Computing, IEEE Transactions on Communications, IEEE Transactions on Computers. Dr. Goes has been Senior Editor of Information Systems Research, and is or has recently been Associate Editor of Management Science, Decision Sciences, Journal of Management Information Systems, Production and Operations Management and the INFORMS Journal on Computing.
报告内容摘要：
Recently, governments have been concerned about how to measure innovation and creativity, and the environment that enables them. The concept of innovation ecosystem has emerged and a few attempts to conceptualize it have been proposed. In this talk I expand on the concept of IT and Innovation Exploration, by looking at IT-driven approaches to identify, select and evaluate innovation concepts and to provide ways at looking at innovation indexes in the ecosystem. These approaches include the application of intelligence informatics, advanced web, text and data mining techniques to identify and correlate vast amounts of information from several sources. They also include web 2.0 technologies that can support innovation selection and evaluation through the deployment of open communities and preference markets. Research in these areas will be overviewed and an experiment with preference markets for emerging technologies evaluation with a Fortune 5 company will be presented.
