LOCATING KNOWLEDGE THROUGH AUTOMATED ORGANIZATIONAL CARTOGRAPHY [AUTOCART]

Mounir Kehal, Sandrine Crener, Patrice Sargenti

2006

Abstract

The Post-Globalization aeon has placed businesses everywhere in new and different competitive situations where knowledgeable, effective and efficient behaviour has come to provide the competitive and comparative edge. Enterprises have turned to explicit- and even conceptualising on tacit- Knowledge Management to elaborate a systematic approach to develop and sustain the Intellectual Capital needed to succeed. To be able to do that, you have to be able to visualize your organization as consisting of nothing but knowledge and knowledge flows, whilst being presented in a graphical and visual framework, referred to as automated organizational cartography. Hence, creating the ability of further actively classifying existing organizational content evolving from and within data feeds, in an algorithmic manner, hence potentially giving insightful schemes and dynamics by which organizational know-how is visualised. It is discussed and elaborated on most recent and applicable definitions and classifications of knowledge management, representing a wide range of views from mechanistic (systematic, data driven) to a more socially (psychologically, cognitive/metadata driven) orientated. More elaborate continuum models, for knowledge acquisition and reasoning purposes, are being used for effectively representing the domain of information that an end user may contain in their decision making process for utilization of available organizational intellectual resources.

References

  1. Boisot, M. (1987) Information and organizations: The Manager as Anthropologist, Fontana/Collins, London.
  2. Booch, G. Rumbaugh, J. Jacobson, I. (1999) “The Unified Modelling Language User Guide”, Boston: Addison Wesley.
  3. Hedlund, G. (1994) “A model of knowledge management and the N-form corporation”, Strategic Management Journal, 15, 73-90
  4. Kohonen, T. "The Self-Organizing Map" Proceedings of the IEEE, Volume 78, Number 9. September 1990. pp. 1464-1480.
  5. McLoughlin, H. Thorpe, R. (1993) “Action learning - a paradigm in emergence: the problems facing a challenge to traditional management education and development”, British Journal of Management.
  6. Nonaka, I. Takeuchi, K. (1995) The Knowledge Creating Company: How Japanese Companies create the Dynamics of Innovation, Oxford University Press, Oxford.
  7. Nonaka, I. Umemoto, K. Senoo, D. (1996) “From information processing to knowledge creation: a paradigm shift in business management”, Technology in Society, 18(2) 203-18.
Download


Paper Citation


in Harvard Style

Kehal M., Crener S. and Sargenti P. (2006). LOCATING KNOWLEDGE THROUGH AUTOMATED ORGANIZATIONAL CARTOGRAPHY [AUTOCART] . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 351-355. DOI: 10.5220/0002467903510355


in Bibtex Style

@conference{iceis06,
author={Mounir Kehal and Sandrine Crener and Patrice Sargenti},
title={LOCATING KNOWLEDGE THROUGH AUTOMATED ORGANIZATIONAL CARTOGRAPHY [AUTOCART]},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={351-355},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002467903510355},
isbn={978-972-8865-42-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LOCATING KNOWLEDGE THROUGH AUTOMATED ORGANIZATIONAL CARTOGRAPHY [AUTOCART]
SN - 978-972-8865-42-9
AU - Kehal M.
AU - Crener S.
AU - Sargenti P.
PY - 2006
SP - 351
EP - 355
DO - 10.5220/0002467903510355