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Good Robot, Bad Robot: Customer Responses to Norm-Compliant and Norm-Violating Service Robots

Stock-Homburg, Ruth ; Heitlinger, Lea (2022)
Good Robot, Bad Robot: Customer Responses to Norm-Compliant and Norm-Violating Service Robots.
ICIS 2022 Proceedings. 8.. Kopenhagen
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Service robots that interact with customers have penetrated various industries. With a basis in social identity theory, this study examines how customers respond to frontline service robots (FSRs) by investigating norm-compliant versus norm-violating behaviors compared with similar behaviors by human frontline employees (FLEs). In experimental studies, a black sheep effect occurs, such that customers downgrade norm-violating FLE behaviors more than similar behaviors by FSRs. They also upgrade norm-compliant behaviors by human FLEs more than those of FSRs. In service failures, this effect manifests as greater anger and frustration toward the FLE. We establish the underlying mechanism driving the black sheep effect: customers assign FSRs to an outgroup but categorize FLEs to their social ingroup, across different service encounters and independent of interaction frequency.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Stock-Homburg, Ruth ; Heitlinger, Lea
Art des Eintrags: Bibliographie
Titel: Good Robot, Bad Robot: Customer Responses to Norm-Compliant and Norm-Violating Service Robots
Sprache: Deutsch
Publikationsjahr: 13 Dezember 2022
Ort: ICIS 2022 Proceedings. 8.
Veranstaltungstitel: ICIS 2022 Proceedings. 8.
Veranstaltungsort: Kopenhagen
URL / URN: https://aisel.aisnet.org/icis2022/hci_robot/hci_robot/8/
Kurzbeschreibung (Abstract):

Service robots that interact with customers have penetrated various industries. With a basis in social identity theory, this study examines how customers respond to frontline service robots (FSRs) by investigating norm-compliant versus norm-violating behaviors compared with similar behaviors by human frontline employees (FLEs). In experimental studies, a black sheep effect occurs, such that customers downgrade norm-violating FLE behaviors more than similar behaviors by FSRs. They also upgrade norm-compliant behaviors by human FLEs more than those of FSRs. In service failures, this effect manifests as greater anger and frustration toward the FLE. We establish the underlying mechanism driving the black sheep effect: customers assign FSRs to an outgroup but categorize FLEs to their social ingroup, across different service encounters and independent of interaction frequency.

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: 14 Dez 2022 08:25
Letzte Änderung: 14 Dez 2022 08:25
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