| Autor: |
Jeroen Schepers, Sandra Streukens |
| Přispěvatelé: |
Innovation Technology Entrepr. & Marketing, EAISI Foundational, Schepers , Jeroen, STREUKENS, Sandra |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Journal of Service Management, 33(2), 197-209. Emerald Group Publishing Ltd. |
| ISSN: |
1757-5818 |
| Popis: |
PurposeAlthough 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/approachA 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.FindingsThe 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/valueThis 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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