Encouraging the Reuse of Knowledge in Communities of Practice by Using a Trust Model

2009 ◽  
Author(s):  
Aurora Vizcaíno ◽  
Javier Portillo-Rodríguez ◽  
Juan Pablo Soto ◽  
Mario Piattini
Keyword(s):  
Communities Of Practice ◽  
Trust Model

An Agent System to Manage Knowledge in CoPs

2010 ◽  
pp. 230-248
Author(s):  
Juan Pablo Soto ◽  
Aurora Vizcaíno ◽  
Javier Portillo-Rodríguez ◽  
Mario G. Piattini
Keyword(s):  
Knowledge Management ◽  
Communities Of Practice ◽  
Trust Model ◽  
Knowledge Bases ◽  
Management Systems ◽  
Artificial Agents ◽  
Knowledge Management Systems ◽  
Agent Architecture ◽  
Geographically Distributed ◽  
Multi Agent

This paper proposes a multi-agent architecture and a trust model with which to foster the reuse of information in organizations which use knowledge bases or knowledge management systems. The architecture and the model have been designed with the goal of giving support to communities of practices which are a means of sharing knowledge. However, members of these communities are currently often geographically distributed, and less trust therefore exists among members than in traditional co-localizated communities of practice. This situation has led us to propose our trust model, which can be used to calculate what piece of knowledge is more trustworthy. The architecture’s artificial agents will use this model to recommend the most appropriate knowledge to the community’s members.

An Agent System to Manage Knowledge in CoPs

2011 ◽  
pp. 80-98
Keyword(s):  
Knowledge Management ◽  
Communities Of Practice ◽  
Trust Model ◽  
Knowledge Bases ◽  
Management Systems ◽  
Artificial Agents ◽  
Knowledge Management Systems ◽  
Agent Architecture ◽  
Geographically Distributed ◽  
Multi Agent

This paper proposes a multi-agent architecture and a trust model with which to foster the reuse of information in organizations which use knowledge bases or knowledge management systems. The architecture and the model have been designed with the goal of giving support to communities of practices which are a means of sharing knowledge. However, members of these communities are currently often geographically distributed, and less trust therefore exists among members than in traditional co-localizated communities of practice. This situation has led us to propose our trust model, which can be used to calculate what piece of knowledge is more trustworthy. The architecture’s artificial agents will use this model to recommend the most appropriate knowledge to the community’s members.

Fostering Knowledge Reuse in Communities of Practice by Using a Trust Model and Agents

2017 ◽  
Vol 16 (05) ◽  
pp. 1409-1439
Author(s):  
Juan Pablo Soto ◽  
Aurora Vizcaíno ◽  
Mario Piattini
Keyword(s):  
Knowledge Management ◽  
Communities Of Practice ◽  
Community Of Practice ◽  
Trust Model ◽  
Knowledge Reuse ◽  
Agent Architecture ◽  
Trust Value ◽  
Sources Of Knowledge ◽  
Geographically Distributed ◽  
Multi Agent

Currently, knowledge management is a key issue for companies as it gives them a competitive advantage. A Community of Practice (CoP) is a means to encourage employees to manage knowledge and enables them to exchange knowledge and experience. Members of these communities, however, are often geographically distributed. This hinders the development of feelings of trust between their members, which limits knowledge reuse. Our proposal seeks to minimize the effect of lack of trust between CoP members, thereby fostering the exchange of knowledge. To achieve this goal, we propose a trust model to calculate trust among CoP members, along with a multi-agent architecture to automatically manage the trust model in a CoP. The agents calculate a trust value in each situation, taking the user’s profile into account. We also present a tool that recommends sources of knowledge and documents that are trustworthy.

Building Communities of Practice

2011 ◽  
Author(s):  
Thelma Meléndez de Santa Ana
Keyword(s):  
Communities Of Practice

Research on mobile Internet mobile agent system dynamic trust model for cloud computing

2019 ◽  
Vol 16 (7) ◽  
pp. 174-194 ◽  
Author(s):  
Weijin Jiang ◽  
Yang Wang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yuhui Xu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Mobile Agent ◽  
Trust Model ◽  
Mobile Internet ◽  
System Dynamic ◽  
Agent System ◽  
Dynamic Trust

The Challenge of Evaluating Virtual Communities of Practice: A Systematic Mapping Study

10.28945/4505 ◽  
2020 ◽  
Vol 15 ◽  
pp. 039-064
Author(s):  
Rogerio Ferreira da Silva ◽  
Itana Maria de Souza Gimenes ◽  
José Carlos Maldonado
Keyword(s):  
Communities Of Practice ◽  
Virtual Communities ◽  
Evaluation Process ◽  
Evaluation Methods ◽  
Systematic Mapping Study ◽  
Research Gaps ◽  
Systematic Mapping ◽  
Research Questions ◽  
Virtual Communities Of Practice ◽  
Selection Of

Aim/Purpose: This paper presents a study of Virtual Communities of Practice (VCoP) evaluation methods that aims to identify their current status and impact on knowledge sharing. The purposes of the study are as follows: (i) to identify trends and research gaps in VCoP evaluation methods; and, (ii) to assist researchers to position new research activities in this domain. Background: VCoP have become a popular knowledge sharing mechanism for both individuals and organizations. Their evaluation process is complex; however, it is recognized as an essential means to provide evidences of community effectiveness. Moreover, VCoP have introduced additional features to face to face Communities of Practice (CoP) that need to be taken into account in evaluation processes, such as geographical dispersion. The fact that VCoP rely on Information and Communication Technologies (ICT) to execute their practices as well as storing artifacts virtually makes more consistent data analysis possible; thus, the evaluation process can apply automatic data gathering and analysis. Methodology: A systematic mapping study, based on five research questions, was carried out in order to analyze existing studies about VCoP evaluation methods and frameworks. The mapping included searching five research databases resulting in the selection of 1,417 papers over which a formal analysis process was applied. This process led to the preliminary selection of 39 primary studies for complete reading. After reading them, we select 28 relevant primary studies from which data was extracted and synthesized to answer the proposed research questions. Contribution: The authors of the primary studies analyzed along this systematic mapping propose a set of methods and strategies for evaluating VCoP, such as frameworks, processes and maturity models. Our main contribution is the identification of some research gaps present in the body of studies, in order to stimulate projects that can improve VCoP evaluation methods and support its important role in social learning. Findings: The systematic mapping led to the conclusion that most of the approaches for VCoP evaluation do not consider the combination of data structured and unstructured metrics. In addition, there is a lack of guidelines to support community operators’ actions based on evaluation metrics.

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