Drexel University Home Pagewww.drexel.edu DREXEL UNIVERSITY LIBRARIES HOMEPAGE >>
iDEA DREXEL ARCHIVES >>

iDEA: Drexel E-repository and Archives > Drexel Academic Community > College of Information Science and Technology > Faculty Research and Publications (IST) > IT-based knowledge management to support organizational learning: visa application screening at the INS

Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1976

Title: IT-based knowledge management to support organizational learning: visa application screening at the INS
Authors: Gasson, Susan
Shelfer, Katherine
Keywords: Organizational Knowledge Management;Competitive Intelligence;Emergence;Decision-Support in High-Risk Environments
Issue Date: Oct-2007
Publisher: Emerald
Citation: Information, Technology & People, 20 (4).
Abstract: This paper explores the tensions between analyzing IT-related change requirements to support knowledge-as-thing versus knowledge-as-process. We explore these tensions in the high-risk decision-making environment of an Immigration and Naturalization Service agency. The study combines competitive intelligence risk-analysis methods with an ethnographic analysis of knowledge-flows, to determine how the roles of human decision-makers may be supported effectively by ICT-based knowledge support. Our findings demonstrate how high-risk decision-making may be analyzed as a integrated hybrid human/ICT intelligence system. The study exposes detailed mechanisms by which knowledge of different forms is transferred, exposing failures in training, interpersonal communications, ICT system support, ad reward structures. We identified four roles for ICT support, to supplement human intelligence effectively in this hybrid system. Four stages of analysis are suggested by the hybrid intelligence framework: (i) risk-category identification, (ii) the application of risk-categories to decision-cases, (iii) testing and adapting categorizations against global conditions, and (iv) transfer of locally-meaningful categorizations of risk across communities of practice. The contributions of this paper are to provide a knowledge taxonomy for such analysis and to suggest a framework by which roles for ICT support in complex and distributed, high-risk decision-making environments may be explored.
URI: http://dx.doi.org/10.1108/09593840710839806
http://hdl.handle.net/1860/1976
Appears in Collections:Faculty Research and Publications (IST)

Files in This Item:

File Description SizeFormat
2006175296.pdf889.36 kBAdobe PDFView/Open
View Statistics

Items in iDEA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! iDEA Software Copyright © 2002-2010  Duraspace - Feedback