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The Key Factors of Knowledge Sharing in Online Community

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Learning Technology for Education in Cloud. MOOC and Big Data (LTEC 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 446))

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Abstract

In web 2.0 social network services also provided many attached tools for help social communication, for example, photo sharing and comment mechanism. According to above mentioned, Web 2.0 facilitated web-based information sharing, even knowledge sharing. However, less study examined that knowledge sharing about online users. In this paper, we aim to examine the users’ content and social value in knowledge platform impact on knowledge sharing and use. Finally, the study develops a KMO 2.0 success model. In the model, we have proposed 13 hypotheses for testing. From the results, the hypotheses H1, H3, H5, H6, H7, H8, H9, H10, H11, H12, and H13 have been supported.

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Huang, LC., Ting, IH., Chou, SC.T. (2014). The Key Factors of Knowledge Sharing in Online Community. In: Uden, L., Sinclair, J., Tao, YH., Liberona, D. (eds) Learning Technology for Education in Cloud. MOOC and Big Data. LTEC 2014. Communications in Computer and Information Science, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-319-10671-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-10671-7_10

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10670-0

  • Online ISBN: 978-3-319-10671-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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