Unnatural Knowledge: Tracing the Cognitive Foundations and Historical Origins of Modern Systems of Knowledge
Challenging the dominant view of natural evolution of modern knowledge, the article theorizes that modern knowledge is unnaturally created through cognitive, cultural, and institutional arrangements that were path-dependent and evitable.
||Knowledge Creation, Knowledge Evolution, Knowledge System
The International Journal of Knowledge, Culture and Change Management, Volume 6, Issue 8, pp.159-166.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.968MB).
Dengjian Jin received his Bachelor of Engineering from Zhejiang University in 1983 and Master of Engineering from Huazhong University of Science and Technology in 1986. From 1986 to 1993, he was an instructor at the Business School of Nanjing University. During 1988-1989, he was a visiting scholar at the School of Business Administration of the Chinese University of Hong Kong. Since 1993, he left China for USA to pursue Ph.D. in public policy, which he received in 1998. Since 1997, he was instructor (1997-1998), assistant professor (1998-2003), associate professor (2003-), and chair professor (2004-) at Dickinson College. His major research interests rest in the dynamic interaction and co-evolution among technology, culture, organization, and strategy, with major focus on knowledge creation and technological innovation. In 2001, he published “The Dynamics of Knowledge Regimes: Technology, Culture, and National Competitiveness in the USA and Japan”, which received reviews in 15 top journals, including Administrative Science Quarterly, Research Policy, R&D Management, International Journal of Technology Management, Journal of International Business Studies, American Journal of Sociology, Contemporary Sociology, and Journal of Regional Studies. Dengjian Jin is currently working on a four-volume book project “The Great Knowledge Transcendence” that traces the historical origins of the modern knowledge system, using a combination of cognitive, comparative, and evolutionary approaches.
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