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Knowledge Transfer Through E-learning: Case of Tunisian Post

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Digital Economy. Emerging Technologies and Business Innovation (ICDEc 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 290))

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Abstract

As with ICTs today, firms are increasingly recognizing the importance of e-learning technology to train their staff and develop the necessary skills. It is therefore appropriate to consider the conditions for the success of e-learning in the organizational context, particularly from a knowledge transfer perspective. Drawing on knowledge transfer and organizational learning theories, and building on the results of an exploratory study, we propose a conceptual model that describes the determinants and consequences of e-learner satisfaction in terms of tacit knowledge transfer. An empirical investigation using the Partial Least Square (PLS) method was conducted to assess the theoretical model built.

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Author information

Authors and Affiliations

  1. Faculty of Economic Science and Management of Tunis, Tunis El Manar University, Tunis, Tunisia

    Nacef Dhaouadi

Authors
  1. Nacef Dhaouadi
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Correspondence to Nacef Dhaouadi .

Editor information

Editors and Affiliations

  1. University of Manouba, Manouba, Tunisia

    Rim Jallouli

  2. University of Alberta, Edmonton, Alberta, Canada

    Osmar R. Zaïane

  3. University of Tunis, Tunis, Tunisia

    Mohamed Anis Bach Tobji

  4. University of Manouba, Manouba, Tunisia

    Rym Srarfi Tabbane

  5. University of Twente, Enschede, The Netherlands

    Anton Nijholt

Annex

Annex

See Tables 1 and 2.

Table 1. Convergent validity result
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Table 2. Confirmatory factor analysis result
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Dhaouadi, N. (2017). Knowledge Transfer Through E-learning: Case of Tunisian Post. In: Jallouli, R., Zaïane, O., Bach Tobji, M., Srarfi Tabbane, R., Nijholt, A. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2017. Lecture Notes in Business Information Processing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-62737-3_7

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  • DOI: https://doi.org/10.1007/978-3-319-62737-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62736-6

  • Online ISBN: 978-3-319-62737-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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