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Managing thin and thinly distributed knowledge in medical genetics using the Internet

Paul Ambrose (Assistant Professor in the School of Business Administration, University of Wisconsin – Milwaukee, Milwaukee, Wisconsin, USA)
Arkalgud Ramaprasad (Professor and Head, Information and Decision Sciences Department, University of Illinois at Chicago, Chicago, Illinois, USA)
Arun Rai (Professor, E‐Commerce Institute, Robinson College of Business, Georgia State University, Atlanta, Georgia, USA)

Logistics Information Management

ISSN: 0957-6053

Article publication date: 1 June 2003

440

Abstract

In this paper we examine how Internet technologies are useful in managing thin (amount of knowledge is low) and thinly distributed (density of expertise is low) medical knowledge. Our specific focus is to highlight the usefulness of the Internet in managing such knowledge, and that the nature of the “basket of Internet technologies” used to manage knowledge varies based on whether knowledge is thick or thin, and thickly or thinly distributed. We also draw attention to the need to examine the semiotic process management while designing Internet‐enabled solutions for managing thin and thinly distributed knowledge. Our study used medical genetics as the research context and collected data from physicians in the US Midwest through semi‐structured interviews.

Keywords

Citation

Ambrose, P., Ramaprasad, A. and Rai, A. (2003), "Managing thin and thinly distributed knowledge in medical genetics using the Internet", Logistics Information Management, Vol. 16 No. 3/4, pp. 207-214. https://doi.org/10.1108/09576050310483808

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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