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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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Correspondence to Janine Viol Hacker .

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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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