Knowledge Acqusion Model via E-Learning in SNS Oriented Knowledge Community of Enterprise

Bing Wu; Wen Xia Xu; Jun Ge

doi:10.4028/www.scientific.net/AMM.55-57.1572

Paper Titles

Study on Burnout and so₂Emission Characteristics during Co-Combustion of Petroleum Coke and Oil Shale in a Fluidized Bed
p.1547

Preparation of Electrospinning Polystyrene Nanofibrous Membrame and Nanofiltration for Simulated Dyeing Wastewater
p.1554

Research on Control System of Hybrid Regenerative Braking and Low Speed Energy Recovery
p.1560

Study on Tourism Ecological Footprint of Loudi City in Hunan “3+5” Urban Agglomeration
p.1566

Knowledge Acqusion Model via E-Learning in SNS Oriented Knowledge Community of Enterprise
p.1572

Trust Analysis in Social Network Community Research
p.1578

Preparation and Characterization of Polypropylene/Clay Nanocomposites
p.1584

Preparation and Characterization of Ionic Liquild Modified Clay and its Application in Polypropylene/Clay Nanocomposites
p.1588

Wavelet Packet Analysis Based Feature Extraction of Vehicular Acoustic Signal
p.1593

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 55-57Knowledge Acqusion Model via E-Learning in SNS...

Knowledge Acqusion Model via E-Learning in SNS Oriented Knowledge Community of Enterprise

Abstract:

The purpose of this paper is to introduce a general scenario for Enterprise SNS knowledge community of E-Learning to promote knowledge innovation, including four sub processes and two knowledge techniques. First, four sub processes are researched respectively, including: motivation to acquire new knowledge, knowledge searching and collection, knowledge decision-making and knowledge innovation. Second, knowledge base and recommendation are two knowledge techniques. The paper underscores the significance of E-Learning to improve knowledge innovation in enterprise and a case study is given.

You might also be interested in these eBooks

Recent Trends in Materials and Mechanical Engineering Materials, Mechatronics and Automation

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 55-57)

Pages:

1572-1577

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.55-57.1572

Citation:

Cite this paper

Online since:

May 2011

Authors:

Bing Wu, Wen Xia Xu, Jun Ge

Keywords:

E-Learning, Knowledge Acquisition, Knowledge Community, SNS

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Lamia Berkania , Azeddine Chikhb. A process for knowledge reuse in communities of practice of e-learning. Procedia Social and Behavioral Sciences, 2010, 2, p.4436–4443.

DOI: 10.1016/j.sbspro.2010.03.707

Google Scholar

[2] Ohbyung Kwon, Yixing Wen. An empirical study of the factors affecting social network service use. Computers in Human Behavior, 2010, 26, p.254–263.

DOI: 10.1016/j.chb.2009.04.011

Google Scholar

[3] Seyhan Sipahi and Mehpare Timor. The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 2010, 48 (5), pp.775-808.

DOI: 10.1108/00251741011043920

Google Scholar

[4] Pei-Luen Patrick Rau, Qin Gao, Yinan Ding. Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 2008, 24, p.2757–2770.

DOI: 10.1016/j.chb.2008.04.001

Google Scholar

[5] L. A. G. González, W. V. Ruggiero. Collaborative e-learning and Learning Objects. IEEE LATIN AMERICA TRANSACTIONS, 2009, 7(5), pp.569-577.

DOI: 10.1109/tla.2009.5361195

Google Scholar

[6] Jason J. Jung. Contextualized mobile recommendation service based on interactive social network discovered from mobile users. Expert System with Application, 2009, 36, pp.11950-11956.

DOI: 10.1016/j.eswa.2009.03.067

Google Scholar

[7] Qingtian Zeng, Zhongying Zhao, Yongquan Liang. Course ontology-based user's knowledge requirement acquisition from behaviors within e-learning systems. Computers & Education, 2009, 53, p.809–818.

DOI: 10.1016/j.compedu.2009.04.019

Google Scholar

[8] Jens Gammelgaard. Knowledge retrieval through virtual communities of practice. Behaviour & Information Technology, 2010, 29(4), p.349–362.

DOI: 10.1080/01449290903548406

Google Scholar