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“知识管理”学术报告

报告题目:Knowledge Management: A View from the United States

报告人:Professor Thomas J. Froehlich

日期及时间: 2009 年 4 月 10 日 09 时 30 分

地点:中心教学楼1003

报告内容摘要:

   There is no one cohesive view of Knowledge Management in the United States, let alone in the world.This presentation will highlight different approaches and emphases to KM in the United States, based in part on different professional associations and various job advertisements. Despite these differences, the presentation will present the key ideas and notions that are the foundation of the online Master of Science program with a concentration in knowledge management at Kent State University.

报告人简介:

   Thomas J. Froehlich is a Professor at Kent State University and serves as chief architect and Program Director of the interdisciplinary Master of Science in Information Architecture and Knowledge Management program that started in the fall, 2001. His education includes a Ph.D. in Philosophy (Duquesne University), an M.S. in Information Science (University of Pittsburgh), M.A. in Philosophy (Pennsylvania State University), and B.A. in English Literature (St. Vincent College). He teaches in the areas of information architecture, knowledge management, and ethical concerns of information professionals, information science, online information systems, network and software resources, and user interface design. In addition to national venues, he has taught workshops, seminars or classes, or made presentations in 23 countries from South America and Europe to the Far East. His research and the majority of his publications focus on ethical issues in the information professions. He has recently been asked to serve as Chair of the SLA Ethics Advisory Council. Other research interests include curriculum development in knowledge management, information architecture, and usability engineering and the philosophical foundations of information science, with special focus on social epistemology and relevance criteria in information retrieval systems.

 

主办:管理与经济学院
知识管理与数据分析实验室