• Part of
    Ubiquity Network logo
    Submit a journal article Submit a book proposal

    Read Chapter
  • No readable formats available
  • Metrics selection for group type identification in Enterprise Social Network (ESN) analytics

    Kai Riemer Laurence Lock Lee Cai Kjaer Annika Haeffner

    Chapter from the book: Australasian Conference on Information Systems, . 2018. Australasian Conference on Information Systems 2018.

     Download

    With the proliferation of Enterprise Social Networks (ESN) measurement of ESN activity becomes increasingly relevant. ESN analytics aims to develop metrics and models to measure and classify ESN user activity to support organisational goals and outcomes. In this paper we focus on a neglected area of ESN analytics, metrics for understanding activity in ESN groups. We engage in explorative research, utilising actual ESN meta data describing activity in 350 groups across three organisations, to identify a set of metrics that divides the group sample into distinct user types. By employing clustering techniques we derive a set of four group types: broadcast streams, information forums, communities of practice and project teams. For ESN analytics research we contribute a set of metrics and group types. For practice we envision a method that enables group managers to compare aspirations for their groups to embody a certain group type, with actual activity patterns.

    Chapter Metrics:

    How to cite this chapter
    Riemer, K et al. 2018. Metrics selection for group type identification in Enterprise Social Network (ESN) analytics. In: Australasian Conference on Information Systems, (ed.), Australasian Conference on Information Systems 2018. Sydney: University of Technology Sydney ePress. DOI: https://doi.org/10.5130/acis2018.di
    License

    This chapter distributed under the terms of the Creative Commons Attribution + Noncommercial + NoDerivatives 4.0 license. Copyright is retained by the author(s)

    Peer Review Information

    This book has been peer reviewed. See our Peer Review Policies for more information.

    Additional Information

    Published on Jan. 1, 2018

    DOI
    https://doi.org/10.5130/acis2018.di


    comments powered by Disqus