Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/36633
Title: To serve and protect: a typology of service robots and their role in physically safe services
Authors: Schepers , Jeroen
STREUKENS, Sandra 
Issue Date: 2022
Publisher: EMERALD GROUP PUBLISHING LTD
Source: Journal of Service Management, 33 (2) , p. 197-209
Abstract: Purpose Although consumers feel that the move toward service robots in the frontline so far was driven by firms' strive to replace human service agents and realize cost savings accordingly, the COVID-19 pandemic has led customers to appreciate frontline robots' ability to provide services in ways that keep them safe and protected from the virus. Still, research on this topic is scant. This article offers guidance by providing a theoretical backdrop for the safety perspective on service robots, as well as outlining a typology that researchers and practitioners can use to further advance this field. Design/methodology/approach A typology is developed based on a combination of a theory- and practice-driven approach. Departing from the type of behavior performed by the service robot, the typology synthesizes three different service robot roles from past literature and proposes three new safety-related role extensions. These safety-related roles are derived from a search for examples of how service robots are used in practice during the COVID-19 pandemic. Findings The typology's roles are corroborated by discussing relevant robot implementations around the globe. Jointly, the six roles give rise to several ideas that jointly constitute a future research agenda. Originality/value This manuscript is (one of) the first to provide in-depth attention to the phenomenon of service customers' physical safety needs in the age of service robots. In doing so, it discusses and ties together theories and concepts from different fields, such as hierarchy of needs theory, evolutionary human motives theory, perceived risk theory, regulatory focus theory, job demand-resources theory, and theory of artificial intelligence job replacement.
Notes: Schepers, J (corresponding author), Eindhoven Univ Technol, Eindhoven Artificial Intelligence Syst Inst EAISB, Dept Ind Engn, Eindhoven, Netherlands.
JJ.L.Schepers@tue.nl
Keywords: Service robots;Frontline service;Safety;Physical safety;Typology;Pandemic;Customer health
Document URI: http://hdl.handle.net/1942/36633
ISSN: 1757-5818
e-ISSN: 1757-5826
DOI: 10.1108/JOSM-11-2021-0409
ISI #: WOS:000749915500001
Rights: Jeroen Schepers and Sandra Streukens. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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