Modeling Distributed Knowledge Processes in Next Generation Multidisciplinary Alliances*
Alaina G. Kanfer (),
Caroline Haythornthwaite (),
Bertram C. Bruce (),
Geoffrey C. Bowker (),
Nicholas C. Burbules (),
Joseph F. Porac () and
James Wade ()
Additional contact information
Alaina G. Kanfer: National Center for Supercomputing Applications (NCSA), BORN
Caroline Haythornthwaite: University of Illinois at Urbana-Champaign (UIUC)
Bertram C. Bruce: University of Illinois at Urbana-Champaign (UIUC)
Geoffrey C. Bowker: University of California
Nicholas C. Burbules: University of Illinois at Urbana-Champaign (UIUC)
Joseph F. Porac: Emory University
James Wade: University of Wisconsin
Information Systems Frontiers, 2000, vol. 2, issue 3, No 6, 317-331
Abstract:
Abstract Current research on distributed knowledge processes suggests a critical conflict between knowledge processes in groups and the technologies built to support them. The conflict centers on observations that authentic and efficient knowledge creation and sharing is deeply embedded in an interpersonal face to face context, but that technologies to support distributed knowledge processes rely on the assumption that knowledge can be made mobile outside these specific contexts. This conflict is of growing national importance as work patterns change from same site to separate site collaboration, and millions of government and industrial dollars are invested in establishing academic-industry alliances and building infrastructures to support distributed collaboration and knowledge. In this paper we describe our multi-method approach for studying the tension between embedded and mobile knowledge in a project funded by the National Science Foundation's program on Knowledge and Distributed Intelligence. This project examines knowledge processes and technology in distributed, multidisciplinary scientific teams in the National Computational Science Alliance (Alliance), a prototypical next generation enterprise. First we review evidence for the tension between embedded and mobile knowledge in several research literatures. Then we present our three-factor conceptualization that considers how the interrelationships among characteristics of the knowledge shared, group context, and communications technology contribute to the tension between embedded and mobile knowledge. Based on this conceptualization we suggest that this dichotomy does not fully explain distributed multidisciplinary knowledge processes. Therefore we propose some alternate models of how knowledge is shared. We briefly introduce the setting in which we are studying distributed knowledge processes and finally, we describe the data collection methods and the current status of the project.
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://link.springer.com/10.1023/A:1026520728644 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:2:y:2000:i:3:d:10.1023_a:1026520728644
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796
DOI: 10.1023/A:1026520728644
Access Statistics for this article
Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao
More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().