IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v22y2020i4d10.1007_s40558-020-00187-x.html
   My bibliography  Save this article

Hotel managers’ perceptions towards the use of robots: a mixed-methods approach

Author

Listed:
  • Stanislav Ivanov

    (Varna University of Management)

  • Faruk Seyitoğlu

    (Mardin Artuklu University)

  • Martina Markova

    (Varna University of Management)

Abstract

Adopting a supply-side perspective, the paper analyses Bulgarian hotel managers’ perceptions of service robots using a convergent mixed methods design. Structured quantitative data were collected from 79 managers using a questionnaire, while interviews were used for the collection of qualitative data from 20 managers. The findings indicate respondents feel that repetitive, dirty, dull, and dangerous tasks in hotels would be more appropriate for robots, while hotel managers would rather use employees for tasks that require social skills and emotional intelligence. The individual characteristics of respondents and the organisational characteristics of the hotels they currently worked in played little role in their perceptions of service robots. The managers considered that robots would decrease the quality of the service and were generally not ready to use robots. Additionally, the interviewees indicated that skilled and well-trained employees were more valuable and more adequate than robots for the hospitality and tourism industry. Theoretical and managerial implications are provided as well.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:infott:v:22:y:2020:i:4:d:10.1007_s40558-020-00187-x
    DOI: 10.1007/s40558-020-00187-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-020-00187-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40558-020-00187-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).
    2. Stock, Ruth & Merkle, Moritz, 2017. "A Service Robot Acceptance Model: User acceptance of humanoid robots during service encounters," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123630, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    4. 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.
    5. Stanislav Ivanov, 2020. "The impact of automation on tourism and hospitality jobs," Information Technology & Tourism, Springer, vol. 22(2), pages 205-215, June.
    6. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Jeroen Schepers, 2020. "Service robot implementation: a theoretical framework and research agenda," The Service Industries Journal, Taylor & Francis Journals, vol. 40(3-4), pages 203-225, March.
    7. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    8. 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).
    9. Ivanov Stanislav, 2019. "Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries?," Zeitschrift für Tourismuswissenschaft, De Gruyter, vol. 11(1), pages 25-43, April.
    10. 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.
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Ivanov, Stanislav & Webster, Craig, 2024. "Automated decision-making: Hoteliers’ perceptions," Technology in Society, Elsevier, vol. 76(C).
    3. 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.
    4. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    5. Francesc Fusté-Forné & Tazim Jamal, 2021. "Co-Creating New Directions for Service Robots in Hospitality and Tourism," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-19, January.
    6. Tianyang Huang, 2022. "What Affects the Acceptance and Use of Hotel Service Robots by Elderly Customers?," Sustainability, MDPI, vol. 14(23), pages 1-17, December.
    7. 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).
    8. Khaliq, Abdul & Waqas, Ali & Nisar, Qasim Ali & Haider, Shahbaz & Asghar, Zunaina, 2022. "Application of AI and robotics in hospitality sector: A resource gain and resource loss perspective," Technology in Society, Elsevier, vol. 68(C).
    9. 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).
    10. Angeliki N. Menegaki, 2022. "New Technologies in Hotels and Museums: Supply-side Perceptions with Education Implications for Managers and Curators," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 2935-2956, December.
    11. Stanislav Ivanov & Craig Webster & Faruk Seyitoğlu, 2023. "Humans and/or robots? Tourists’ preferences towards the humans–robots mix in the service delivery system," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 195-231, March.
    12. 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.
    13. Maria Nikopoulou & Panos Kourouthanassis & Giota Chasapi & Adamantia Pateli & Naoum Mylonas, 2023. "Determinants of Digital Transformation in the Hospitality Industry: Technological, Organizational, and Environmental Drivers," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    14. Jifei Wu & Xiangyun Zhang & Yimin Zhu & Grace Fang Yu-Buck, 2021. "Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    15. Seyitoğlu, Faruk & Ivanov, Stanislav & Atsız, Ozan & Çifçi, İbrahim, 2021. "Robots as restaurant employees - A double-barrelled detective story," Technology in Society, Elsevier, vol. 67(C).
    16. Yunsik Kim, 2023. "Examining the Impact of Frontline Service Robots Service Competence on Hotel Frontline Employees from a Collaboration Perspective," Sustainability, MDPI, vol. 15(9), pages 1-19, May.
    17. 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).

    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. Stanislav Hristov Ivanov & Craig Webster & Elitza Stoilova & Daniel Slobodskoy, 2022. "Biosecurity, crisis management, automation technologies and economic performance of travel, tourism and hospitality companies – A conceptual framework," Tourism Economics, , vol. 28(1), pages 3-26, February.
    2. 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).
    3. 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).
    4. Ivanov, Stanislav Hristov & Webster, Craig & Stoilova, Elitza & Slobodskoy, Daniel, 2020. "Biosecurity, crisis management, automation technologies, and economic performance of travel, tourism and hospitality companies – a conceptual framework," SocArXiv 2hx6f, Center for Open Science.
    5. Ieva Meidute-Kavaliauskiene & Şemsettin Çiğdem & Bülent Yıldız & Sigitas Davidavicius, 2021. "The Effect of Perceptions on Service Robot Usage Intention: A Survey Study in the Service Sector," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
    6. 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).
    7. Gyutae Lee & Yunsik Kim, 2022. "Effects of Resistance Barriers to Service Robots on Alternative Attractiveness and Intention to Use," SAGE Open, , vol. 12(2), pages 21582440221, May.
    8. Lv, Xingyang & Liu, Yue & Luo, Jingjing & Liu, Yuqing & Li, Chunxiao, 2021. "Does a cute artificial intelligence assistant soften the blow? The impact of cuteness on customer tolerance of assistant service failure," Annals of Tourism Research, Elsevier, vol. 87(C).
    9. Min-Kyu Kwak & JeungSun Lee & Seong-Soo Cha, 2021. "Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    10. van Esch, Patrick & Cui, Yuanyuan (Gina) & Das, Gopal & Jain, Shailendra Pratap & Wirtz, Jochen, 2022. "Tourists and AI: A political ideology perspective," Annals of Tourism Research, Elsevier, vol. 97(C).
    11. 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).
    12. Francesc Fusté-Forné & Tazim Jamal, 2021. "Co-Creating New Directions for Service Robots in Hospitality and Tourism," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-19, January.
    13. Kichan Nam & Christopher S. Dutt & Prakash Chathoth & Abdelkader Daghfous & M. Sajid Khan, 2021. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 553-574, September.
    14. Stanislav Ivanov & Craig Webster, 2020. "Robots in tourism: A research agenda for tourism economics," Tourism Economics, , vol. 26(7), pages 1065-1085, November.
    15. 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).
    16. Liao, Zhixue & Zheng, Weimin & Lin, Zhibin, 2022. "Time apart while together: A smart trip design for group travelers," Annals of Tourism Research, Elsevier, vol. 93(C).
    17. 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).
    18. Marko Perić & Vanja Vitezić, 2021. "Tourism Getting Back to Life after COVID-19: Can Artificial Intelligence Help?," Societies, MDPI, vol. 11(4), pages 1-13, September.
    19. 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.
    20. Wan, Lisa C. & Chan, Elisa K. & Luo, Xiaoyan, 2021. "ROBOTS COME to RESCUE: How to reduce perceived risk of infectious disease in Covid19-stricken consumers?," Annals of Tourism Research, Elsevier, vol. 88(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:spr:infott:v:22:y:2020:i:4:d:10.1007_s40558-020-00187-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.