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Multi-agent system based knowledge Management system construction organization environment (MASK-CO) is a set of agents, software and technology designed to focus and enhance the communication, deliberations, and decisionmaking of groups. MASK-CO is successful in improving the efficiency, reliability and quality of the group decision-making process. Knowledge management (KM) has received considerable attention in recent years. Some consider knowledge the most strategically important resource, and learning the most strategically important capability for business organizations. Major construction organizations have recognized the benefits that KM can offer and have thus invested in KM. This paper reports on a survey of these companies. The purpose of the survey was: (1) to examine the importance of KM to construction organizations; (2) to investigate the resources used to implement KM strategies. The survey found that the main reasons for implementing a KM strategy was the need to share the tacit knowledge of key employees and to disseminate best practice. In addition, significant resources in terms of staff time and money were being invested in KM. In order to resolve the problems in construction organization and promote the performance of construction organization, a MASK-CO is designed based on Prometheus Design Tool (PDT).
Dr. Amir Ganawa, Rodziah Atan, Rusli Abdullah, Masrah Azrifah Azmi Murad. 1970. "MASK-CO: MULTI-AGENT SYSTEM BASED KNOWLEDGE MANAGEMENT SYSTEM TO FACILITATE KNOWLEDGE SHARING IN CONSTRUCTION ORGANIZATION ENVIRONMENT". Global Journal of Computer Science and Technology GJCST Volume 10 (GJCST Volume 10 Issue 1).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 148
Country: Unknown
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Amir Ganawa, Rodziah Atan, Rusli Abdullah and Masrah Azrifah Azmi Murad (PhD/Dr. count: 1)
View Count (all-time): 206
Total Views (Real + Logic): 8208
Total Downloads (simulated): 444
Publish Date: 2010 03, Mon
Monthly Totals (Real + Logic):
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