IDEAS home Printed from https://ideas.repec.org/a/spr/decisn/v48y2021i4d10.1007_s40622-021-00300-x.html
   My bibliography  Save this article

Service robots are an option for contactless services due to the COVID-19 pandemic in the hotels

Author

Listed:
  • Subhodeep Mukherjee

    (GITAM (Deemed To Be University))

  • Manish Mohan Baral

    (GITAM (Deemed To Be University))

  • Chittipaka Venkataiah

    (Indira Gandhi National Open University)

  • Surya Kant Pal

    (Sharda University)

  • Ramji Nagariya

    (GITAM (Deemed To Be University))

Abstract

The development of robotics in the current COVID-19 pandemic scenario can change the face of the industries. Robots are becoming more prominent in the hospitality industry. In this scenario, the usage of service robots for hotels is the best option. This study is performed using TAM and TRI theories. The constructs selected for the study are perceived ease of use, perceived usefulness, attitudes, behavioural intention, discomfort, insecurity, and trust. Survey-based research is carried out with the help of a questionnaire. The target population are the employees working in the hotels. Ten hypotheses are proposed for the study. This study highlights the acceptance of service robots in the hotels of India. Out of ten proposed hypothesis, five hypotheses were accepted, and the rest were rejected. For data analysis, structural equation modelling in AMOS 20.0 was carried out. This study will help the managers and the top management in the adoption of service robots.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:decisn:v:48:y:2021:i:4:d:10.1007_s40622-021-00300-x
    DOI: 10.1007/s40622-021-00300-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40622-021-00300-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/s40622-021-00300-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. Sachin Kamble & Angappa Gunasekaran & Himanshu Arha, 2019. "Understanding the Blockchain technology adoption in supply chains-Indian context," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2009-2033, April.
    2. Ai-Hsuan Chiang & Silvana Trimi, 2020. "Impacts of service robots on service quality," Service Business, Springer;Pan-Pacific Business Association, vol. 14(3), pages 439-459, September.
    3. 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.
    4. 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.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Reis, João & Melão, Nuno & Salvadorinho, Juliana & Soares, Bárbara & Rosete, Ana, 2020. "Service robots in the hospitality industry: The case of Henn-na hotel, Japan," Technology in Society, Elsevier, vol. 63(C).
    7. Jiwoo Jung & Eunkyung Park & Joonho Moon & Won Seok Lee, 2021. "Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    8. Arthur Lau, 2020. "New technologies used in COVID-19 for business survival: Insights from the Hotel Sector in China," Information Technology & Tourism, Springer, vol. 22(4), pages 497-504, December.
    9. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    10. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    11. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    12. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    13. Kunsoon Park & Narang Park & Wookjae Heo, 2018. "Factors Influencing Intranet Acceptance in Restaurant Industry: Use of Technology Acceptance Model," International Business Research, Canadian Center of Science and Education, vol. 11(10), pages 1-9, October.
    14. Muragesh Pattansheti & Sachin S. Kamble & Sudheer M. Dhume & Rakesh D. Raut, 2016. "Development, measurement and validation of an integrated technology readiness acceptance and planned behaviour model for Indian mobile banking industry," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 22(3), pages 316-342.
    15. 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).
    16. Lew, Susan & Tan, Garry Wei-Han & Loh, Xiu-Ming & Hew, Jun-Jie & Ooi, Keng-Boon, 2020. "The disruptive mobile wallet in the hospitality industry: An extended mobile technology acceptance model," Technology in Society, Elsevier, vol. 63(C).
    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. Arpan Kumar Kar & Shweta Kumari Choudhary & P. Vigneswara Ilavarasan, 2023. "How can we improve tourism service experiences: insights from multi-stakeholders’ interaction," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 50(1), pages 73-89, March.
    2. 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.
    3. Ratapol Wudhikarn & Photchanaphisut Pattanasak & Vorathamon Cherapanukorn & Boontarika Paphawasit, 2024. "Evaluating the Intellectual Capital of Intensively Tourism-Dependent Countries Between, Prior, and During the COVID-19 Pandemic," Sustainability, MDPI, vol. 16(4), pages 1-24, February.

    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. 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).
    2. 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.
    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. 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).
    5. Rashed Al Karim & Farid Ahammad Sobhani & Md Karim Rabiul & Nusrat Jahan Lepee & Mohammad Rokibul Kabir & Mohammad Abdul Matin Chowdhury, 2022. "Linking Fintech Payment Services and Customer Loyalty Intention in the Hospitality Industry: The Mediating Role of Customer Experience and Attitude," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    6. Camilleri, Mark Anthony & Camilleri, Adriana Caterina, 2022. "Remote learning via video conferencing technologies: Implications for research and practice," Technology in Society, Elsevier, vol. 68(C).
    7. Qingyu Zhang & Salman Khan & Safeer Ullah Khan & Ikram Ullah Khan, 2023. "Understanding Blockchain Technology Adoption in Operation and Supply Chain Management of Pakistan: Extending UTAUT Model With Technology Readiness, Technology Affinity and Trust," SAGE Open, , vol. 13(4), pages 21582440231, October.
    8. Jinsoo Hwang & Jawad Abbas & Kyuhyeon Joo & Seung-Woo Choo & Sunghyup Sean Hyun, 2022. "The Effects of Types of Service Providers on Experience Economy, Brand Attitude, and Brand Loyalty in the Restaurant Industry," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    9. Taheri, Fatemeh & D'Haese, Marijke & Fiems, Dieter & Azadi, Hossein, 2022. "The intentions of agricultural professionals towards diffusing wireless sensor networks: Application of technology acceptance model in Southwest Iran," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    10. Mohit Jain & Gunjan Soni & Deepak Verma & Rajendra Baraiya & Bharti Ramtiyal, 2023. "Selection of Technology Acceptance Model for Adoption of Industry 4.0 Technologies in Agri-Fresh Supply Chain," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    11. 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.
    12. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    13. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    14. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    15. Scott, Stephanie & Hughes, Paul & Hodgkinson, Ian & Kraus, Sascha, 2019. "Technology adoption factors in the digitization of popular culture: Analyzing the online gambling market," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    16. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    17. 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.
    18. Leonie Kuen & Fiona Schürmann & Daniel Westmattelmann & Sophie Hartwig & Shay Tzafrir & Gerhard Schewe, 2023. "Trust transfer effects and associated risks in telemedicine adoption," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    19. Yaprak, Ümit & Kılıç, Fatih & Okumuş, Abdullah, 2021. "Is the Covid-19 pandemic strong enough to change the online order delivery methods? Changes in the relationship between attitude and behavior towards order delivery by drone," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    20. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.

    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:decisn:v:48:y:2021:i:4:d:10.1007_s40622-021-00300-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.