The aim of this paper is to improve the understanding and inter‐relationship of both the people and technical aspects of knowledge management. Studies in knowledge management indicate that there can be an over‐emphasis on technology to the exclusion of adequate people/quality planning, or, strong people/quality programmes from a knowledge perspective, hindered by inadequate enabling technologies. Understanding of these issues in practice and academia is currently hindered by a paucity of systematic empirical research, addressing the relationship between the cultural and technological aspects of knowledge management. A survey questionnaire was constructed and tested via a pilot phase. The questionnaire was then distributed to over 1,000 organizations, across three industrial sectors. The findings indicate that a strong relationship exists between KM and other organizational factors, namely organizational culture and internal technical culture. Further analysis of these elements revealed that factors internal to the organization are impinged upon by macro‐environmental elements.
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1 August 2003
Research Article|
August 01 2003
An empirical analysis of knowledge management applications
Sandra Moffett;
Sandra Moffett
Sandra Moffett is a Lecturer at the School of Computing and Intelligent Systems, University of Ulster at Magee, Northland Road, Londonderry, Northern Ireland (sm.moffett@ulster.ac.uk).
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Rodney McAdam;
Rodney McAdam
Rodney McAdamis a Reader in Management at the School of Business Organization and Management, University of Ulster at Jordanstown, Newtownabbey, Northern Ireland (r.mcadam@ulster.ac.uk).
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Stephen Parkinson
Stephen Parkinson
Stephen Parkinson, is a Dean at Leeds Business School, Leeds Metropolitan University, Leeds, West Yorkshire, UK (s.parkinson@lmu.ac.uk).
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Publisher: Emerald Publishing
Online ISSN: 1758-7484
Print ISSN: 1367-3270
© MCB UP Limited
2003
Journal of Knowledge Management (2003) 7 (3): 6–26.
Citation
Moffett S, McAdam R, Parkinson S (2003), "An empirical analysis of knowledge management applications". Journal of Knowledge Management, Vol. 7 No. 3 pp. 6–26, doi: https://doi.org/10.1108/13673270310485596
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