IDEAS home Printed from https://ideas.repec.org/a/aes/amfeco/v26y2024ispecial18p1065.html
   My bibliography  Save this article

Human-Robot Interaction: The Hospitality Experience of Young People in Hotels that Use Robots

Author

Listed:
  • Andreea Fortuna Schiopu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Ana Mihaela Padurean

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Ana-Maria Nica

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Valentin Toader

    (Babe?-Bolyai University, Cluj-Napoca, Romania)

  • Remus Ion Hornoiu

    (Bucharest University of Economic Studies, Bucharest, Romania)

  • Maria Cordente Rodriguez

    (University of Castilla-La Mancha, Cuenca, Spain)

Abstract

The past years have brought an accelerated use of robots in the hospitality industry to perform several tasks (i.e., front-desk, cleaning, and check-in, among others). In addition to advantages such as better productivity or lower labour shortages, the use of robots in hotels can enhance the tourist experiences. In this context, this study aims to examine some important antecedents of experience of hospitality in hotels that use robots and of behavioural intention to visit these hotels. We extended a framework used in hospitality to include the use of technology (i.e., robots) and describe the human-robot interaction. The data was collected through an online survey and analysed through structural equation modelling (SEM). The findings show that, when hotels use robots, their perceived ability to be experienced as inviting, careful, and comfortable influence the overall experience of hospitality. These antecedents explain 84% in the variance of the overall experience of hospitality in such hotels. Furthermore, the hospitality experience determines to a very high degree the intention behavioural to visit these hotels. Last but not least, robot anxiety negatively affects the perceived ability of hotels to be perceived as inviting, careful, and comfortable. Tourists who are robot anxious think hotels that use robots are less capable of offering positive experiences. These findings bring new theoretical and practical insights that can be employed to adapt the activities of hotels that use robots to appropriately deliver their service. The model confirms the influence of the aforementioned factors on the experience of hospitality in the technological context, developing the literature related to the use of robots in hotels. Furthermore, managers interested in investing in the use of these devices to improve the guest experience can become more knowledgeable about the opportunities (developing the ability to be perceived as inviting, careful, and comfortable) and challenges (reducing robot anxiety).

Suggested Citation

  • Andreea Fortuna Schiopu & Ana Mihaela Padurean & Ana-Maria Nica & Valentin Toader & Remus Ion Hornoiu & Maria Cordente Rodriguez, 2024. "Human-Robot Interaction: The Hospitality Experience of Young People in Hotels that Use Robots," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(Special 1), pages 1065-1065, November.
  • Handle: RePEc:aes:amfeco:v:26:y:2024:i:special18:p:1065
    as

    Download full text from publisher

    File URL: http://www.amfiteatrueconomic.ro/temp/Article_3359.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erica Mingotto & Federica Montaguti & Michele Tamma, 2021. "Challenges in re-designing operations and jobs to embody AI and robotics in services. Findings from a case in the hospitality industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 493-510, September.
    2. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    3. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    4. Rasheed, Hafiz Muhammad Wasif & He, Yuanqiong & Khizar, Hafiz Muhammad Usman & Abbas, Hafiz Syed Mohsin, 2023. "Exploring Consumer-Robot interaction in the hospitality sector: Unpacking the reasons for adoption (or resistance) to artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vishwakarma, Laxmi Pandit & Singh, Rajesh Kr & Mishra, Ruchi & Demirkol, Denizhan & Daim, Tugrul, 2024. "The adoption of social robots in service operations: A comprehensive review," Technology in Society, Elsevier, vol. 76(C).
    2. Mehmood, Khalid & Kautish, Pradeep & Shah, Tejas R., 2024. "Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    3. Lv, Xingyang & Shi, Kewei & He, Yueying & Ji, Yingchao & Lan, Tian, 2024. "My colleague is not “human”: Will working with robots make you act more indifferently?," Journal of Business Research, Elsevier, vol. 176(C).
    4. Maggie Wang, Yazhu & Matook, Sabine & Dennis, Alan R., 2024. "Unintended consequences of humanoid service robots: A case study of public service organizations," Journal of Business Research, Elsevier, vol. 174(C).
    5. Liu, Xing (Stella) & Wan, Lisa C. & Yi, Xiao (Shannon), 2022. "Humanoid versus non-humanoid robots: How mortality salience shapes preference for robot services under the COVID-19 pandemic?," Annals of Tourism Research, Elsevier, vol. 94(C).
    6. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    7. Guo, Wenshan & Luo, Qiangqiang, 2023. "Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    8. Subhodeep Mukherjee & Manish Mohan Baral & Chittipaka Venkataiah & Surya Kant Pal & Ramji Nagariya, 2021. "Service robots are an option for contactless services due to the COVID-19 pandemic in the hotels," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(4), pages 445-460, December.
    9. Cobelli, Nicola & Cassia, Fabio & Zardini, Alessandro & Kuppelwieser, Volker G., 2024. "Pharmacies providing health services: Attitudes toward eHealth in Italy," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    10. Feliciano-Cestero, María M. & Ameen, Nisreen & Kotabe, Masaaki & Paul, Justin & Signoret, Mario, 2023. "Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization," Journal of Business Research, Elsevier, vol. 157(C).
    11. Tao Zhang & Chao Feng & Hui Chen & Junjie Xian, 2022. "Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2277-2292, December.
    12. Athanasios KARAGIOUMLEZIS & George SPAIS, 2024. "Validating a Proposed Model on the Factors that Influence Consumers' Unique Phygital and Memorable Shopping Experiences in Phygital Retail Outlets," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(2), pages 51-72, June.
    13. Zhong, Lina & Verma, Rohit & Wei, Wenqi & Morrsion, Alastair M. & Yang, Liyu, 2022. "Multi-stakeholder perspectives on the impacts of service robots in urban hotel rooms," Technology in Society, Elsevier, vol. 68(C).
    14. Wang, Ping & Li, Kunyang & Du, Qinglong & Wang, Jianqiong, 2024. "Customer experience in AI-enabled products: Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    15. de Kervenoael, Ronan & Schwob, Alexandre & Hasan, Rajibul & Psylla, Evangelia, 2024. "SIoT robots and consumer experiences in retail: Unpacking repeat purchase intention drivers leveraging computers are social actors (CASA) paradigm," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    16. Steins, Mark & Becker, Marc & Odekerken-Schröder, Gaby & Mathmann, Frank & Mahr, Dominik & Russell-Bennett, Rebekah, 2024. "Do we think and feel Alike? field evidence on developing a shared reality when dealing with service robots," Journal of Business Research, Elsevier, vol. 180(C).
    17. Kegel, Mona Mareen & Stock-Homburg, Ruth, 2023. "Customer Responses to (Im)Moral Behavior of Service Robots Online Experiments in a Retail Setting," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136009, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    19. Stanislav Ivanov & Faruk Seyitoğlu & Martina Markova, 2020. "Hotel managers’ perceptions towards the use of robots: a mixed-methods approach," Information Technology & Tourism, Springer, vol. 22(4), pages 505-535, December.
    20. Chenyu Gu & Yu Zhang & Linhao Zeng, 2024. "Exploring the mechanism of sustained consumer trust in AI chatbots after service failures: a perspective based on attribution and CASA theories," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

    More about this item

    Keywords

    human-robot interaction; robots used in hotels; robot anxiety; experience of hospitality; intention to visit hotels that use robots;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Z30 - Other Special Topics - - Tourism Economics - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:amfeco:v:26:y:2024:i:special18:p:1065. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Valentin Dumitru (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.