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Author: Mounir Kehal

Affiliation: Information Technology and Decision Making Research Group, International University of Monaco, Monaco

ISBN: 978-972-8865-89-4

Keyword(s): Knowledge Management, Corpus-based Analysis, Observational Study, Knowledge Diffusion, Text Analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Verification and Validation of Knowledge-Based Systems ; Web Information Systems and Technologies

Abstract: Formats to handle knowledge of innovative organizations may prove to be complex, as such is assumed to be one of the main variables whilst a distinguishing factor of such organizations to survive within a marketplace. Their main asset is the knowledge of certain highly motivated individuals that appear to share a common vision for the continuity of the organization. Satellite technology is a good example of that. From early pioneers to modern day mini/micro satellites and nanotechnologies, one can see a large amount of risk at every stage in the development of a satellite technology, from inception to design phase, from design to delivery, from lessons learnt from failures to those learnt from successes, and from revisions to design and development of successful satellites. In their groundbreaking book The Knowledge Creating Company (1995), Nonaka et al laid out a model of how organisational knowledge is created through four conversion processes, being from: tacit to explicit (externa lisation), explicit to tacit (internalisation), tacit to tacit (socialisation), and explicit to explicit (combination). Key to this model is the authors’ assertion that none are individually sufficient. All must be present to fuel one another. However, such knowledge creation and diffusion was thought to have manifested and only applied within large organizations and conglomerates. Observational (questionnaire-based) and systematic (corpus-based) studies – through case study elicitation experiments and analysis of specialist text, can support research in knowledge management. Organizations that manufacture, use, and maintain satellites depend on a continuous exchange of ideas, criticisms, and congratulations. One can regard such organisations from NASA to SSTL as amongst a class of knowledge-based organizations. Through selective use of the previously stated approaches, and concise reporting for the purposes of this paper we are to show how knowledge flows in a finite organisational setting and could be modelled by specialist text. (More)

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Paper citation in several formats:
Kehal M. and (2007). SPECIALIST KNOWLEDGE DIFFUSION.In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-972-8865-89-4, pages 49-56. DOI: 10.5220/0002344100490056

@conference{iceis07,
author={Mounir Kehal},
title={SPECIALIST KNOWLEDGE DIFFUSION},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2007},
pages={49-56},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002344100490056},
isbn={978-972-8865-89-4},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - SPECIALIST KNOWLEDGE DIFFUSION
SN - 978-972-8865-89-4
AU - Kehal, M.
PY - 2007
SP - 49
EP - 56
DO - 10.5220/0002344100490056

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