Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my:8080/jspui/handle/123456789/391
Title: Regression analysis on agent roles in personal knowledge management processes: Significance of a connect agent in mediating human's personal knowledge management
Authors: Ismail, S. 
Ahmad, M.S. 
Hassan, Z. 
Keywords: Cognitive enablers
GUSC model
Nodal Approach
Personal knowledge management
Software agent technology
Issue Date: 2013
Conference: 8th International Conference on Information Technology in Asia 
Abstract: Across the literature, there is a gradual development of research on personal knowledge management (PKM) from theoretical to technical perspective on managing personal knowledge over the computer and internet technologies. This research domain has aroused the interest of researchers in Malaysia with the introduction of a PKM model to accommodate the understanding of PKM among knowledge workers. In this model, called the GUSC model, there are four main processes, which are get knowledge, understand knowledge, share knowledge and connect to knowledge sources. This model entails four cognitive enablers that are proposed to mediate the PKM processes. This paper analyses the quantitative data on the GUSC model to further understand the roles of software agents in mediating human's PKM processes. It also analyses the role of cognitive enablers as mediating factors for the PKM processes, which are seen as potential strong notions for software agency. The results of the analysis show the significance of 'connect' as a role of an agent that depends on the rest of the factors. Based on the quantitative findings, it is recommended that the GUSC model is used to conceptualise an agent-based system, with cognitive enablers to determine the appropriate BDI structure for the system. © 2013 IEEE.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84890829303&doi=10.1109%2fCITA.2013.6637549&partnerID=40&md5=72d0c263f9dfa253ebb637f4902ee068
http://dspace.uniten.edu.my:8080/jspui/handle/123456789/391
DOI: 10.1109/CITA.2013.6637549
Appears in Collections:CSIT Scholarly Publication

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