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Work engagement in organizations: a social network analysis of the domain

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Abstract

This study has used the social network analysis technique to effectively decompose the structure of the author, institution, country, and journal networks of the work engagement domain. Using articles from the Web of Science database, 1406 publications published in SCI, SCI-E, SSCI, and A&HCI outlets between 1990 and 2015 period were extracted and included in the analysis. Following an examination of this domain, we found that the network is relatively un-fragmented with a strong core that contains one large community of authors. This study also found evidence among the collaboration networks to suggest the power law distribution exists in the author and institutional networks in which the incoming nodes and links prefer to attach to the nodes that are already well connected. The study also sheds light on both the hidden network collaboration among authors, countries, and within the work engagement domain.

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Acknowledgments

This research was supported by the Keimyung University research grant of 2016.

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Authors and Affiliations

  1. Chungnam National University, Daejeon, South Korea

    Jacob Wood

  2. Korea University of Technology and Education, Cheonan, South Korea

    Woocheol Kim

  3. Keimyung University, Daegu, South Korea

    Gohar Feroz Khan

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  1. Jacob Wood
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Correspondence to Gohar Feroz Khan.

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Wood, J., Kim, W. & Khan, G.F. Work engagement in organizations: a social network analysis of the domain. Scientometrics 109, 317–336 (2016). https://doi.org/10.1007/s11192-016-1974-6

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