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Man vs machine: examining the three themes of service robotics in tourism and hospitality

Author

Listed:
  • Aikaterini Manthiou

    (NEOMA Business School)

  • Phil Klaus

    (International University of Monaco INSEEC Research Center)

  • Volker G. Kuppelwieser

    (NEOMA Business School)

  • William Reeves

    (NEOMA Business School)

Abstract

There is a growing need in the tourism and hospitality literature to harmonise service robots and artificial intelligence’s (AI) meaning and foundations, while also offering guidance on future discussions and research. We operationalize MacInnis’ Journal of Marketing, 75(4), 136–154, (2011) conceptual contribution to derive insights regarding service robots in the tourism and hospitality domain. This paper adopts an interdisciplinary stance and integrates insights from the tourism, hospitality, philosophy, psychology, sociology, management, robotics, information technology and marketing fields. Service robotics and related tourism and hospitality research follow three basic themes: deployment, acceptance and ethical considerations. The findings on the use of service robotics are subsequently delineated and a summary of the tourism and hospitality field’s current research needs is provided.

Suggested Citation

  • Aikaterini Manthiou & Phil Klaus & Volker G. Kuppelwieser & William Reeves, 2021. "Man vs machine: examining the three themes of service robotics in tourism and hospitality," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 511-527, September.
  • Handle: RePEc:spr:elmark:v:31:y:2021:i:3:d:10.1007_s12525-020-00434-3
    DOI: 10.1007/s12525-020-00434-3
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    1. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    2. Maloney,William F. & Molina,Carlos A., 2016. "Are automation and trade polarizing developing country labor markets, too ?," Policy Research Working Paper Series 7922, The World Bank.
    3. Francesco Chiacchio & Georgios Petropoulos & David Pichler, 2018. "The impact of industrial robots on EU employment and wages- A local labour market approach," Working Papers 25186, Bruegel.
    4. Ben Vermeulen & Jan Kesselhut & Andreas Pyka & Pier Paolo Saviotti, 2018. "The Impact of Automation on Employment: Just the Usual Structural Change?," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    5. Melanie Arntz & Terry Gregory & Ulrich Zierahn, 2016. "The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis," OECD Social, Employment and Migration Working Papers 189, OECD Publishing.
    6. Jochen Wirtz & Valarie Zeithaml, 2018. "Cost-effective service excellence," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 59-80, January.
    7. Daron Acemoglu & Pascual Restrepo, 2017. "Robots and Jobs: Evidence from US Labor Markets," Boston University - Department of Economics - Working Papers Series dp-297, Boston University - Department of Economics.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Jochen Wirtz & Christina Jerger, 2016. "Managing service employees: literature review, expert opinions, and research directions," The Service Industries Journal, Taylor & Francis Journals, vol. 36(15-16), pages 757-788, December.
    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. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    12. Barnes, Donald C. & Ponder, Nicole & Hopkins, Christopher D., 2015. "The impact of perceived customer delight on the frontline employee," Journal of Business Research, Elsevier, vol. 68(2), pages 433-441.
    13. Tussyadiah, Iis & Miller, Graham, 2019. "Nudged by a robot: Responses to agency and feedback," Annals of Tourism Research, Elsevier, vol. 78(C), pages 1-1.
    14. 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.
    15. Maarten Goos & Alan Manning & Anna Salomons, 2014. "Explaining Job Polarization: Routine-Biased Technological Change and Offshoring," American Economic Review, American Economic Association, vol. 104(8), pages 2509-2526, August.
    16. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    17. Chenet, Pierre & Tynan, Caroline & Money, Arthur, 1999. "Service Performance Gap: Re-evaluation and Redevelopment," Journal of Business Research, Elsevier, vol. 46(2), pages 133-147, October.
    18. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    19. Tussyadiah, Iis, 2020. "A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism," Annals of Tourism Research, Elsevier, vol. 81(C).
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    Cited by:

    1. Shengliang Zhang & Xinfeng Lin & Xiaodong Li & Ai Ren, 2022. "Service robots’ anthropomorphism: dimensions, factors and internal relationships," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 277-295, March.
    2. Nora Nahr & Marikka Heikkilä, 2022. "Uncovering the identity of Electronic Markets research through text mining techniques," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1257-1277, September.
    3. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    4. Manthiou, Aikaterini & Klaus, Phil, 2022. "The interplaying factors of the robotic tourism experience: The customer journey's touchpoints, context, and qualities," Technological Forecasting and Social Change, Elsevier, vol. 177(C).

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    More about this item

    Keywords

    Artificial intelligence; Service robots; Deployment; Acceptance; Ethical considerations;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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