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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
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    References listed on IDEAS

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    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. 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.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. 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).
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. Tussyadiah, Iis P. & Zach, Florian J. & Wang, Jianxi, 2020. "Do travelers trust intelligent service robots?," Annals of Tourism Research, Elsevier, vol. 81(C).
    15. 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.
    16. 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).
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    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. 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).
    4. 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.

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