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Do You Write What You Are in Business Communications? Deriving Psychometrics from Enterprise Social Networks

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Business Information Systems Workshops (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

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Abstract

In this paper, we explore the discriminability of psychometrics derived from an automated linguistic analysis within a business setting. To this end, a commercial natural language processing application is used to analyse messages posted to the Enterprise Social Network (ESN) of an Australian professional services firm. Comparing the psychometrics derived for individual users with those of other users, we find that the text posted to the ESN facilitates the detection of distinguishable personality profiles. Also, our analysis indicates the derived psychometrics to remain stable from year to year.

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Author information

Authors and Affiliations

  1. Institute of Information Systems, University of Erlangen-Nürnberg, Lange Gasse 20, 90403, Nürnberg, Germany

    Janine Viol Hacker & Alexander Piazza

  2. Deloitte Touche Tohmatsu, 225 George Street, Sydney, New South Wales, 2000, Australia

    Trevor Kelley

Authors
  1. Janine Viol Hacker
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  2. Alexander Piazza
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  3. Trevor Kelley
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Corresponding author

Correspondence to Janine Viol Hacker .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

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Hacker, J.V., Piazza, A., Kelley, T. (2017). Do You Write What You Are in Business Communications? Deriving Psychometrics from Enterprise Social Networks. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_16

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