IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i17p9655-d623466.html
   My bibliography  Save this article

The Effect of Perceptions on Service Robot Usage Intention: A Survey Study in the Service Sector

Author

Listed:
  • Ieva Meidute-Kavaliauskiene

    (General Jonas Žemaitis Military Academy of Lithuania, Silo St. 5A, LT-10322 Vilnius, Lithuania)

  • Şemsettin Çiğdem

    (Faculty of Economics and Administrative Sciences, Gaziantep University, Gaziantep 27310, Turkey)

  • Bülent Yıldız

    (Faculty of Economics and Administrative Sciences, Kastamonu University, Kastamonu 37150, Turkey)

  • Sigitas Davidavicius

    (General Jonas Žemaitis Military Academy of Lithuania, Silo St. 5A, LT-10322 Vilnius, Lithuania)

Abstract

The current age of artificial intelligence, along with the advent of robots, portends increased use of innovative technologies in the tourism industry, with higher levels of service innovation than in many other industries. In addition, factors such as an approaching worldwide pandemic have limited the amount of physical contact that people can have. So as a result, the use of service robots in service areas, such as tourism, has recently become controversial. In this study, accommodation customers’ perceptions of advantages and disadvantages about robots and the effect of the perceived value of their intention to use them were investigated. Within the scope of the research, data were collected from 1408 people living in various cities in Turkey through an online survey. The data were analyzed by structural equation modeling. As a result of the analyses, it was found that the perception of advantage and the perceived value affect the intention to use service robots positively and significantly. It has been determined that the perception of disadvantage affects the intention to use service robots negatively and significantly. The research results show that the accommodation companies should be innovative and rapidly transition to robotization, as in the manufacturing industry. Advanced technological innovation applications, such as service robots, will play an essential role in the revival of the tourism industry, especially during the global epidemic.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:17:p:9655-:d:623466
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/17/9655/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/17/9655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Park, Sangwon, 2020. "Multifaceted trust in tourism service robots," Annals of Tourism Research, Elsevier, vol. 81(C).
    2. 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.
    3. Jin-Woo Park & Rodger Robertson & Cheng-Lung Wu, 2006. "Modelling the Impact of Airline Service Quality and Marketing Variables on Passengers’ Future Behavioural Intentions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 29(5), pages 359-381, July.
    4. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    5. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    6. 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).
    7. Ellen Van Droogenbroeck & Léon Van Hove, 2021. "Adoption and usage of E-grocery shopping: A context-specific UTAUT2 model," ULB Institutional Repository 2013/324918, ULB -- Universite Libre de Bruxelles.
    8. 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.
    9. Ellen Van Droogenbroeck & Leo Van Hove, 2021. "Adoption and Usage of E-Grocery Shopping: A Context-Specific UTAUT2 Model," Sustainability, MDPI, vol. 13(8), pages 1-27, April.
    10. Tiziana Ramaci & Massimiliano Barattucci & Caterina Ledda & Venerando Rapisarda, 2020. "Social Stigma during COVID-19 and its Impact on HCWs Outcomes," Sustainability, MDPI, vol. 12(9), pages 1-13, May.
    11. Marko Hakovirta & Navodya Denuwara, 2020. "How COVID-19 Redefines the Concept of Sustainability," Sustainability, MDPI, vol. 12(9), pages 1-4, May.
    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. Şemsettin Çiğdem & Ieva Meidute-Kavaliauskiene & Bülent Yıldız, 2023. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees," Logistics, MDPI, vol. 7(1), pages 1-18, March.
    2. Ola Abdel Moneim Emara & Hazem Tawfik Halim & Mohamed Samy El-Deeb & Yasser Tawfik Halim, 2023. "Toward a sustained recovery of the lodging sector: a management path to lessen the Corona Variants upshots," Future Business Journal, Springer, vol. 9(1), pages 1-22, December.
    3. 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.
    4. Chris Roberts & Joel Reynolds & Mary Jo Dolasinski, 2022. "Meta-Analysis of Tourism Sustainability Research: 2019–2021," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    5. Mahavarpour, Nasrin & Marvi, Reza & Foroudi, Pantea, 2023. "A Brief History of Service Innovation: The evolution of past, present, and future of service innovation," Journal of Business Research, Elsevier, vol. 160(C).
    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.

    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 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.
    2. 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).
    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. 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).
    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. 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.
    7. 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).
    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. 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.
    10. 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).
    11. Christou, Prokopis & Hadjielias, Elias & Simillidou, Aspasia & Kvasova, Olga, 2023. "The use of intelligent automation as a form of digital transformation in tourism: Towards a hybrid experiential offering," Journal of Business Research, Elsevier, vol. 155(PB).
    12. 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).
    13. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    14. Raphael Warren Jankeeparsad & Dev Tewari, 2018. "End-User Adoption of Bitcoin in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 10(5), pages 230-243.
    15. Li-Su Huang & Cheng-Po Lai, 2014. "Knowledge Management Adoption And Diffusion Using Structural Equation Modeling," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(1), pages 39-56.
    16. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    17. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    18. Packiaraj Thangavel & Bibhas Chandra, 2023. "Two Decades of M-Commerce Consumer Research: A Bibliometric Analysis Using R Biblioshiny," Sustainability, MDPI, vol. 15(15), pages 1-32, August.
    19. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    20. Zhiyuan Yu & Doudou Jin, 2021. "Determinants of Users’ Attitude and Intention to Intelligent Connected Vehicle Infotainment in the 5G-V2X Mobile Ecosystem," IJERPH, MDPI, vol. 18(19), pages 1-19, September.

    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:13:y:2021:i:17:p:9655-:d:623466. 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.