Personen - MADOC

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Anzahl der Einträge: 6.

Koch-Bayram, Irmela

; Kaibel, Chris

(2024) Algorithms in personnel selection, applicants' attributions about organizations' intents and organizational attractiveness: An experimental study.

Human Resource Management Journal Oxford [u.a.] 34 3 733-752 [Zeitschriftenartikel]

Koch-Bayram, Irmela

; Kaibel, Chris

; Biemann, Torsten ; Triana, María del Carmen (2023) </Click to begin your digital interview>: Applicants' experiences with discrimination explain their reactions to algorithms in personnel selection.

International Journal of Selection and Assessment : IJSA Oxford [u.a.] 31 2 252-266 [Zeitschriftenartikel]

Kaibel, Chris

; Biemann, Torsten (2021) Rethinking the gold standard with multi-armed bandits: Machine learning allocation algorithms for experiments. Organizational Research Methods : ORM Thousand Oaks, CA 24 1 78-103 [Zeitschriftenartikel]

Kaibel, Chris

; Mühlenbock, Max ; Koch-Bayram, Irmela

; Biemann, Torsten (2019) Wahrnehmung von KI - Was denken Mitarbeiter über ihre Anwendung und Fairness? Personal Quarterly Freiburg 71 3 16-21 [Zeitschriftenartikel]

Kaibel, Chris

(2019) Machine learning algorithms in the workplace : rethinking experiments and effects on applicant experience. Mannheim [Dissertation]

Kaibel, Chris

; Biemann, Torsten Improving the gold standard in field experiments with multi-armed bandits. Annual Meeting Proceedings / Academy of Management 2017 16350 (2017) Chicago, IL Academy of Management 2017 Annual Meeting (Atlanta, GA) [Konferenzveröffentlichung]

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