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


Bamberger, Boas ; Bechtoldt, Myriam N.


Document Type: Conference presentation
Year of publication: 2018
Conference title: AOM Specialized Conference: Big Data and Managing in a Digital Economy
Location of the conference venue: Surrey, UK
Date of the conference: 18.-20.04.2018
Publication language: English
Institution: Business School > ABWL u. Marketing I (Homburg)
Subject: 150 Psychology
330 Economics
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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Bamberger, Boas ; Bechtoldt, Myriam N. Playful self versus self-report self one of a kind or worlds apart? (2018) AOM Specialized Conference: Big Data and Managing in a Digital Economy (Surrey, UK) [Conference presentation]


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