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You Got the Job! Understanding Hiring Decisions for Robots as Organizational Members

Heitlinger, Lea ; Stock-Homburg, Ruth ; Wolf, Franziska Doris (2022)
You Got the Job! Understanding Hiring Decisions for Robots as Organizational Members.
The 2022 ACM/IEEE International Conference on Human-Robot Interaction. Sapporo, Hokkaido, Japan
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

As social robots will likely be central to future human-robot interactions at work, we assess hiring decisions for social robots as a natural first step prior to their integration into organizations. With a basis in the technology acceptance model and social identity theory, this study focuses on differences between humanoid robotic, android robotic and human candidates. We first examine performance-based evaluations of the applicants by focusing on expectation disconfirmation. While for the human candidate, the interplay between expectations and experiences is decisive for the judgement, for social robots, the actual experience of the hiring situation dominates the decision. Besides the rational decision criteria, we further look into social-cue-based evaluations as social biases in hiring situations. Categorization as social ingroup leads to an absolute preference for the human candidate (i.e., ingroup favoritism) with no differences in preference for the robotic social outgroup (i.e., outgroup homogeneity effect).

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Heitlinger, Lea ; Stock-Homburg, Ruth ; Wolf, Franziska Doris
Art des Eintrags: Bibliographie
Titel: You Got the Job! Understanding Hiring Decisions for Robots as Organizational Members
Sprache: Englisch
Publikationsjahr: 2022
Ort: Sapporo, Hokkaido, Japan
Verlag: IEEE Press
Buchtitel: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Veranstaltungstitel: The 2022 ACM/IEEE International Conference on Human-Robot Interaction
Veranstaltungsort: Sapporo, Hokkaido, Japan
URL / URN: https://dl.acm.org/doi/10.5555/3523760.3523830
Kurzbeschreibung (Abstract):

As social robots will likely be central to future human-robot interactions at work, we assess hiring decisions for social robots as a natural first step prior to their integration into organizations. With a basis in the technology acceptance model and social identity theory, this study focuses on differences between humanoid robotic, android robotic and human candidates. We first examine performance-based evaluations of the applicants by focusing on expectation disconfirmation. While for the human candidate, the interplay between expectations and experiences is decisive for the judgement, for social robots, the actual experience of the hiring situation dominates the decision. Besides the rational decision criteria, we further look into social-cue-based evaluations as social biases in hiring situations. Categorization as social ingroup leads to an absolute preference for the human candidate (i.e., ingroup favoritism) with no differences in preference for the robotic social outgroup (i.e., outgroup homogeneity effect).

Freie Schlagworte: social robots, elaboration likelihood model, social identity theory, hiring of robots, technology acceptance model, human-robot interaction, expectation disconfirmation
Fachbereich(e)/-gebiet(e): 01 Fachbereich Rechts- und Wirtschaftswissenschaften
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete
01 Fachbereich Rechts- und Wirtschaftswissenschaften > Betriebswirtschaftliche Fachgebiete > Fachgebiet Marketing & Personalmanagement
Hinterlegungsdatum: 22 Mär 2022 12:54
Letzte Änderung: 14 Feb 2023 13:27
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