The University of Southampton
University of Southampton Institutional Repository

Men and measures: capturing knowledge requirements in firms through qualitative system modelling

Men and measures: capturing knowledge requirements in firms through qualitative system modelling
Men and measures: capturing knowledge requirements in firms through qualitative system modelling
Knowledge Management (KM) is an issue of great and increasing importance in most if not all areas of managerial endeavour. In this paper, we are concerned with the particular practical difficulty within KM of mapping knowledge in a managed system. This is an important practical issue because without a view of the terrain of explicit and tacit knowledge in the managed system, we have little prospect of planning our managerial interaction. Few if any practical methods exist which reflect the strongly systemic nature of business organizations. We begin by establishing our position with regard to the numerous definitions and perspectives of knowledge in managed systems, and indeed in regard to the disagreements that rack KM over the nature of knowledge itself, where it lies and the role of humans as creators, users and guardians of that knowledge. We relate the nature of system knowledge to well-known taxonomies of knowing what, knowing how, knowing why, knowing who together with the integrated from of knowing in the managed system as a whole. The method presented, Systems Based KM (or SBKM), is based on a non-positivist qualitative method deriving from System Dynamics and it is presented through the medium of a case study of a professional firm.
knowledge management, systems thinking, system dynamics, strategy
0160-5682
10-21
Swart, J.
72f4b913-cde3-44f3-8288-a9af0afe3769
Powell, J.H.
5b4db071-6f39-4059-a2b2-b751b70291f0
Swart, J.
72f4b913-cde3-44f3-8288-a9af0afe3769
Powell, J.H.
5b4db071-6f39-4059-a2b2-b751b70291f0

Swart, J. and Powell, J.H. (2006) Men and measures: capturing knowledge requirements in firms through qualitative system modelling. Journal of the Operational Research Society, 57 (1), 10-21. (doi:10.1057/palgrave.jors.2601983).

Record type: Article

Abstract

Knowledge Management (KM) is an issue of great and increasing importance in most if not all areas of managerial endeavour. In this paper, we are concerned with the particular practical difficulty within KM of mapping knowledge in a managed system. This is an important practical issue because without a view of the terrain of explicit and tacit knowledge in the managed system, we have little prospect of planning our managerial interaction. Few if any practical methods exist which reflect the strongly systemic nature of business organizations. We begin by establishing our position with regard to the numerous definitions and perspectives of knowledge in managed systems, and indeed in regard to the disagreements that rack KM over the nature of knowledge itself, where it lies and the role of humans as creators, users and guardians of that knowledge. We relate the nature of system knowledge to well-known taxonomies of knowing what, knowing how, knowing why, knowing who together with the integrated from of knowing in the managed system as a whole. The method presented, Systems Based KM (or SBKM), is based on a non-positivist qualitative method deriving from System Dynamics and it is presented through the medium of a case study of a professional firm.

This record has no associated files available for download.

More information

Published date: January 2006
Keywords: knowledge management, systems thinking, system dynamics, strategy

Identifiers

Local EPrints ID: 36720
URI: http://eprints.soton.ac.uk/id/eprint/36720
ISSN: 0160-5682
PURE UUID: dd7d25cd-d3ad-4dd4-9aa5-94970201618b

Catalogue record

Date deposited: 20 Jun 2006
Last modified: 15 Mar 2024 07:57

Export record

Altmetrics

Contributors

Author: J. Swart
Author: J.H. Powell

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×