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K-BEST for Supply Chain Knowledge - A System for Knowledge Management in Supply Chains

Topics: Best Practices & Communities of Practice; Business Intelligence & CRM; KM Strategies and Implementations ; Knowledge Management Projects; Learning Organization & Organizational Learning

Authors: Gabriela Citlalli López Torres 1 and Stephen Eldridge 2

Affiliations: 1 Universidad Autonóma de Aguascalientes, Mexico ; 2 Lancaster University, United Kingdom

Keyword(s): Supply Chain Management, Knowledge Management, Knowledge Management Tools.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Best Practices & Communities of Practice ; Business Intelligence ; Communities of Practice ; Computer-Supported Education ; KM Strategies and Implementations ; Knowledge Management and Information Sharing ; Knowledge Management Projects ; Knowledge-Based Systems ; Learning Organization & Organizational Learning ; Learning/Teaching Methodologies and Assessment ; Society, e-Business and e-Government ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: A supply chain is as an important strategic framework because it provides a powerful infrastructure to enable the coordination of practices to meet customers’ requirements. Best practices knowledge in supply chains needs contextualisation to reveal favourable and unfavourable consequences. In order to provide contextualisation, a more formalised and systematic approach to understand practices is required but no suitable existing scheme was identified to represent Supply Chain Knowledge (SCK). This research is focused on the creation of a knowledge management approach to address the structure, contextualisation and control of SCK. The approach adopted combined theoretical knowledge management concepts and supply chain practitioner valuation using three iterative research cycles. The first was focused on research into the structure of SCK. The second was to research into contextualisation of SCK. The third cycle to research into knowledge control processes and evaluated the feasibili ty of the proposed scheme. Findings were incorporated into a demonstrator tool, which is a web-based software application. This research confirmed the feasibility of the scheme components and suggested further benefits such as self-learning of SCK and that it is both feasible and important to practitioners that an approach, similar to the one proposed, is adopted. (More)

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Paper citation in several formats:
Citlalli López Torres, G. and Eldridge, S. (2013). K-BEST for Supply Chain Knowledge - A System for Knowledge Management in Supply Chains. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KMIS; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 321-327. DOI: 10.5220/0004520103210327

@conference{kmis13,
author={Gabriela {Citlalli López Torres}. and Stephen Eldridge.},
title={K-BEST for Supply Chain Knowledge - A System for Knowledge Management in Supply Chains},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KMIS},
year={2013},
pages={321-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004520103210327},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KMIS
TI - K-BEST for Supply Chain Knowledge - A System for Knowledge Management in Supply Chains
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Citlalli López Torres, G.
AU - Eldridge, S.
PY - 2013
SP - 321
EP - 327
DO - 10.5220/0004520103210327
PB - SciTePress