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Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots

Author

Listed:
  • Ronan de Kervenoael

    (ESC [Rennes] - ESC Rennes School of Business)

  • Rajibul Hasan

    (ESC [Rennes] - ESC Rennes School of Business)

  • Alexandre Schwob

    (Sup de Co La Rochelle - Ecole Supérieure de Commerce de la Rochelle - Groupe Sup de Co La Rochelle)

  • Edwin Goh

    (University of Birmingham [Birmingham], SIM - Singapore Institute of Management)

Abstract

Social robots have become pervasive in the tourism and hospitality service environments. The empirical understanding of the drivers of visitors' intentions to use robots in such services has become an urgent necessity for their sustainable deployment. Certainly, using social androids within hospitality services requires organisations' attentive commitment to value creation and fulfilling service quality expectations. In this paper, via structural equation modelling (SEM) and semi-structured interviews with managers, we conceptualise and empirically test visitors' intentions to use social robots in hospitality services. With data collected in Singapore's hospitality settings, we found visitors' intentions to use social robots stem from the effects of technology acceptance variables, service quality dimensions leading to perceived value, and two further dimensions from human robot interaction (HRI): empathy and information sharing. Analysis of these dimensions' importance provides a deeper understanding of novel opportunities managers may take advantage of to position social robot-delivered services in tourism and hospitality strategies.

Suggested Citation

  • Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
  • Handle: RePEc:hal:journl:hal-02782265
    DOI: 10.1016/j.tourman.2019.104042
    Note: View the original document on HAL open archive server: https://rennes-sb.hal.science/hal-02782265
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    References listed on IDEAS

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    1. Spiggle, Susan, 1994. "Analysis and Interpretation of Qualitative Data in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(3), pages 491-503, December.
    2. Jochen Wirtz & Valarie Zeithaml, 2018. "Cost-effective service excellence," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 59-80, January.
    3. Han, Heesup & Meng, Bo & Kim, Wansoo, 2017. "Bike-traveling as a growing phenomenon: Role of attributes, value, satisfaction, desire, and gender in developing loyalty," Tourism Management, Elsevier, vol. 59(C), pages 91-103.
    4. Noel Albert & Dwight Merunka, 2013. "The role of brand love in consumer‐brand relationships," Post-Print hal-01822309, HAL.
    5. Howard, Daniel J & Gengler, Charles, 2001. "Emotional Contagion Effects on Product Attitudes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(2), pages 189-201, September.
    6. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    7. Sklyar, Alexey & Kowalkowski, Christian & Tronvoll, Bård & Sörhammar, David, 2019. "Organizing for digital servitization: A service ecosystem perspective," Journal of Business Research, Elsevier, vol. 104(C), pages 450-460.
    8. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    9. Stock, Ruth & Merkle, Moritz, 2018. "Can Humanoid Service Robots Perform Better Than Service Employees? A Comparison of Innovative Behavior Cues," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 110836, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Larivière, Bart & Bowen, David & Andreassen, Tor W. & Kunz, Werner & Sirianni, Nancy J. & Voss, Chris & Wünderlich, Nancy V. & De Keyser, Arne, 2017. "“Service Encounter 2.0”: An investigation into the roles of technology, employees and customers," Journal of Business Research, Elsevier, vol. 79(C), pages 238-246.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

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