Playful self versus self-report self one of a kind or worlds apart?


Bamberger, Boas ; Bechtoldt, Myriam N.



Dokumenttyp: Präsentation auf Konferenz
Erscheinungsjahr: 2018
Veranstaltungstitel: AOM Specialized Conference: Big Data and Managing in a Digital Economy
Veranstaltungsort: Surrey, UK
Veranstaltungsdatum: 18.-20.04.2018
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Betriebswirtschaftslehre > Business-to-Business Marketing, Sales & Pricing (Homburg 1998-)
Fachgebiet: 150 Psychologie
330 Wirtschaft
Abstract: As digital traces and freely available online data increase transparency about job candidates’ attributes, companies may include unprecedented amounts of data into their personnel selection decisions. Besides the evaluation of social media profiles, video games in particular have recently gained trajectory as a promising alternative to personality self-report measures in job candidate assessment. Our study with 1,106 players of League of Legends analyzes convergent validity of players’ risk-taking behavior with established self-report measures and behavioral tests of risk propensity. Controlling for age, gender and individual performance we found weak associations of within-game risk-taking with self-report measures of risk propensity and no correlations with behavioral tests. The results suggest that behavioral data from a commercial video game do not substitute for established tests of risk-taking.







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