Data, Information and Knowledge Quality in Retail Security Decision Making

Abstract

Knowledge creation and organisational learning are as much about questioning assumptions as they are about harnessing what is already known. We describe a procedure for expressing knowledge, theorising from it, identifying data suitable for testing theories, and the value to a business of the outcomes it produces. This technique, called ‘theorise-inquire’, supports the validation of knowledge once it is expressed in a shareable form and draws attention to gaps in data and to information quality generally. We illustrate the ideas presented with examples drawn from work with profit protection specialists working in large retail organisations in the UK.

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Cite this paper

@inproceedings{Stumpf2003DataIA, title={Data, Information and Knowledge Quality in Retail Security Decision Making}, author={Simone Stumpf and Janet McDonnell}, year={2003} }