Service robot implementation: a theoretical framework and research agenda

By Daniel Belanche, Luis Vicente Casaló, Carlos Flavián, Jeroen J. L. Schepers. Service Industries Journal, 2019

573 citations recorded by the source corpus.

ABSTRACT Service robots and artificial intelligence promise to increase productivity and reduce costs, prompting substantial growth in sales of service robots and research dedicated to understanding their implications. Nevertheless, marketing research on this phenomenon is scarce. To establish some fundamental insights related to this research domain, the current article seeks to complement research on robots’ human-likeness with investigations of the factors that service managers must choose for the service robots implemented in their service setting. A three-part framework, comprised of robot design, customer features, and service encounter characteristics, specifies key factors within each category that need to be analyzed together to determine their optimal adaptation to different service components. Definitions and overlapping concepts are clarified, together with previous knowledge on each variable and research gaps that need to be solved. This framework and the final research questions provide a research agenda to guide scholars and help practitioners implement service robots successfully.

Subfields: Artificial Intelligence, Marketing, Social Psychology

View Paper: https://www.semanticscholar.org/paper/25b4ec39ce318137418e62ff44b440bd10bafd35

How researchers see this paper

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In Artificial Intelligence

  1. Daniel Belanche
  2. Luis Vicente Casaló
  3. Jeroen J. L. Schepers
  4. Carlos Flavián

In Marketing

  1. Jeroen J. L. Schepers
  2. Luis Vicente Casaló
  3. Carlos Flavián
  4. Daniel Belanche

In Social Psychology

  1. Daniel Belanche
  2. Luis Vicente Casaló
  3. Jeroen J. L. Schepers
  4. Carlos Flavián

Citations in the corpus