To read this content please select one of the options below:

Rapid knowledge work visualization for organizations

Markus Strohmaier (Department of Computer Science, University of Toronto, Canada.)
Stefanie Lindstaedt (Know‐Center Graz, Styria, Austria.)

Journal of Knowledge Management

ISSN: 1367-3270

Article publication date: 24 July 2007

1568

Abstract

Purpose

The purpose of this contribution is to motivate a new, rapid approach to modeling knowledge work in organizational settings and to introduce a software tool that demonstrates the viability of the envisioned concept.

Design/methodology/approach

Based on existing modeling structures, the KnowFlow toolset that aids knowledge analysts in rapidly conducting interviews and in conducting multi‐perspective analysis of organizational knowledge work is introduced.

Findings

This article demonstrates how rapid knowledge work visualization can be conducted largely without human modelers by developing an interview structure that allows for self‐service interviews. Two application scenarios illustrate the pressing need for and the potentials of rapid knowledge work visualizations in organizational settings.

Research limitations/implications

The efforts necessary for traditional modeling approaches in the area of knowledge management are often prohibitive. This contribution argues that future research needs to take economical constraints of organizational settings into account in order to be able to realize the full potential of knowledge work management.

Practical implications

This work picks up a problem identified in practice and proposes the novel concept of rapid knowledge work visualization for making knowledge work modeling in organizations more feasible.

Originality/value

This work develops a vision of rapid knowledge work visualization and introduces a tool‐supported approach that addresses some of the identified challenges.

Keywords

Citation

Strohmaier, M. and Lindstaedt, S. (2007), "Rapid knowledge work visualization for organizations", Journal of Knowledge Management, Vol. 11 No. 4, pp. 97-111. https://doi.org/10.1108/13673270710762747

Publisher

:

Emerald Group Publishing Limited

Copyright © 2007, Emerald Group Publishing Limited

Related articles