IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10827-d902069.html
   My bibliography  Save this article

A Review of Robotic Applications in Hospitality and Tourism Research

Author

Listed:
  • Huiyue Ye

    (Asia-Pacific Academy of Economics and Management, Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Taipa, Macao SAR 999078, China)

  • Sunny Sun

    (College of Asia Pacific Studies, Ritsumeikan Asia Pacific University, 1-1 Jumonjibaru, Beppu 874-8577, Japan)

  • Rob Law

    (Asia-Pacific Academy of Economics and Management, Department of Integrated Resort and Tourism Management, Faculty of Business Administration, University of Macau, Taipa, Macao SAR 999078, China)

Abstract

Recently, robots have been widely adopted in the hospitality and tourism industry. Efficient robots can help hoteliers and tourism suppliers with their repetitive or manual labor. Due to the coronavirus disease (COVID-19) pandemic, there is an increasing number of publications on robotic applications in hospitality and tourism. However, a comprehensive literature review of this realm remains lacking. Therefore, to provide a holistic view of the existing literature on robotic applications in hospitality and tourism, this study reviewed 86 extant robotic application-related articles by conducting descriptive analysis and content analysis. The findings of this study showed that most of the existing relevant studies were conducted from the perspective of consumers in the hospitality context. Potential future research directions for academics are identified herein. Practical implications on robotic adoption are also provided for industry practitioners.

Suggested Citation

  • Huiyue Ye & Sunny Sun & Rob Law, 2022. "A Review of Robotic Applications in Hospitality and Tourism Research," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10827-:d:902069
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10827/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10827/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muzi Xie & Hong-bumm Kim, 2022. "User Acceptance of Hotel Service Robots Using the Quantitative Kano Model," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    2. 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.
    3. Xiong, Xiling & Wong, IpKin Anthony & Yang, Fiona X., 2021. "Are we behaviorally immune to COVID-19 through robots?," Annals of Tourism Research, Elsevier, vol. 91(C).
    4. Kyung Hwa Seo & Jee Hye Lee, 2021. "The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    5. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    6. 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).
    7. 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.
    8. Taehyee Um & Taekyung Kim & Namho Chung, 2020. "How does an Intelligence Chatbot Affect Customers Compared with Self-Service Technology for Sustainable Services?," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    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. 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).
    2. Chan, Elisa K., 2023. "Pandemic experience and locus of protection," Annals of Tourism Research, Elsevier, vol. 100(C).
    3. 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.
    4. Yue-Ming Guo & Wai-Ling Ng & Fei Hao & Chen Zhang & Shu-Xu Liu & Adil Masud Aman, 2023. "Trust in Virtual Interaction: The Role of Avatars in Sustainable Customer Relationships," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    5. 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).
    6. Wang, Yawei & Kang, Qi & Zhou, Shoujiang & Dong, Yuanyuan & Liu, Junqi, 2022. "The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    7. Chan, Elisa K. & Wan, Lisa C. & Yi, Xiao (Shannon), 2022. "Smart technology vs. embarrassed human: The inhibiting effect of anticipated technology embarrassment," Annals of Tourism Research, Elsevier, vol. 97(C).
    8. Santiago, Joanna & Borges-Tiago, Maria Teresa & Tiago, Flávio, 2024. "Embracing RAISA in restaurants: Exploring customer attitudes toward robot adoption," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    9. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    10. Ivanov, Stanislav & Webster, Craig, 2024. "Automated decision-making: Hoteliers’ perceptions," Technology in Society, Elsevier, vol. 76(C).
    11. Xin Chen & Chengxie Ma & Chengyu Tao, 2022. "Factors Influencing the Sustainability of Stroke Rehabilitation Services in Community: An Analysis Based on Kano Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    12. Malodia, Suresh & Kaur, Puneet & Ractham, Peter & Sakashita, Mototaka & Dhir, Amandeep, 2022. "Why do people avoid and postpone the use of voice assistants for transactional purposes? A perspective from decision avoidance theory," Journal of Business Research, Elsevier, vol. 146(C), pages 605-618.
    13. Ayyildiz, Ahu Yazici & Baykal, Muhammed & Koc, Erdogan, 2022. "Attitudes of hotel customers towards the use of service robots in hospitality service encounters," Technology in Society, Elsevier, vol. 70(C).
    14. Yang, Yikai & Zheng, Jiehui & Yu, Yining & Qiu, Yiling & Wang, Lei, 2024. "The role of recommendation sources and attribute framing in online product recommendations," Journal of Business Research, Elsevier, vol. 174(C).
    15. Jin-Kyu Kim & Jae-Jang Yang & Yong-Ki Lee, 2023. "How Do Self-Service Kiosks Improve COVID-19 Pandemic Resilience in the Restaurant Industry?," Sustainability, MDPI, vol. 15(13), pages 1-21, June.
    16. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    17. Zheng, Chundong & Qian, Fangyuan & Song, Jiehang & Wang, Han, 2024. "Make the photo in good shape: The matching effect of photo shapes and donation appeals on donation intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    18. Yanan Jia & Anshul Garg & Peihua Shi, 2024. "Research on Factors Influencing Hotel Consumers’ Health: A Systematic Review and Ways Forward," Sustainability, MDPI, vol. 16(5), pages 1-17, March.
    19. Hai Lan & Xiaofei Tang & Yong Ye & Huiqin Zhang, 2024. "Abstract or concrete? The effects of language style and service context on continuous usage intention for AI voice assistants," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    20. 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).

    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:gam:jsusta:v:14:y:2022:i:17:p:10827-:d:902069. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.