Education, Science, Technology, Innovation and Life
Open Access
Sign In

The Application of Intelligent Robot in the Modern Hotel Industry—Take the Full Season Hotel as an Example

Download as PDF

DOI: 10.23977/ieim.2024.070319 | Downloads: 30 | Views: 1020

Author(s)

Sun Weijie 1

Affiliation(s)

1 Faculty of Hospitality and Tourism Management, Macau University of Science and Technology, Macao, 999078, China

Corresponding Author

Sun Weijie

ABSTRACT

This paper takes the whole season hotel as an example, and systematically examines the application status, existing problems and optimization countermeasures of intelligent robot in the modern hotel industry. Research found that the whole season hotel reception, room service, catering scene has initially realized the robot application, in improving service efficiency, optimize customer experience has achieved certain effect, but due to the limitation of the robot, man-machine collaboration, customer acceptance, cost, the scale of the intelligent robot application level remains to be further improved. To this end, this paper suggests that the whole season hotel should focus on strengthening the research and development of core robot technology, build an efficient collaboration system, provide personalized, high-quality robot services, strengthen intelligent cost management, robot scale application technology basis, service, intelligent robot can allocate the high-quality development of the hotel.

KEYWORDS

Intelligent Robot; Modern Hotel Industry; Four Seasons Hotel

CITE THIS PAPER

Sun Weijie, The Application of Intelligent Robot in the Modern Hotel Industry—Take the Full Season Hotel as an Example. Industrial Engineering and Innovation Management (2024) Vol. 7: 132-142. DOI: http://dx.doi.org/10.23977/ieim.2024.070319.

REFERENCES

[1] Nam, Kichan, et al. "The adoption of artificial intelligence and robotics in the hotel industry: prospects and challenges." Electronic Markets 31 (2021): 553-574.
[2] Gupta, Shivam, et al. "Artificial intelligence enabled robots for stay experience in the hospitality industry in a smart city." Industrial Management & Data Systems 122.10 (2022): 2331-2350.
[3] Hou Lujing. Study on hotel robot service: influence of fault type and mental perception. Tourism Science, 2021, page 35 (4): 97-107.
[4] Liang Shaohua. Application status and thinking of hotel robot under the background of artificial intelligence. Modern Business, 2020 (18): 40-42. 
[5] By Sun Jianxin, Ma Baolong, Li Xiaofei, etc. The impact of the interaction between the inclusive service positioning and social class on customer civic behavior. Journal of Management, 2024, 21 (5): 721-730.
[6] Li Jun, Song Chenpeng, Ye Haobin. Research on consumers' willingness to use service robots in an intelligent service environment [J]. Travel Magazine, 2023, 38 (06): 136-150.
[7] Liu Li, Liu Jian, Tan Yingling. B & B hotel service design study based on group intelligence and case reasoning. Packaging Engineering, 2022, 43 (04): 348-356.
[8] Zhang Xin, Cao Bing, etc. Consider demand information and electronic word of mouth [J]. Journal of Northeastern University (Natural Science Edition), 2023, 44 (10): 1506-1513.
[9] Song Xiaoxiao, Li Yunpeng, Tang Yue, etc. Research on the influence of service robot personification on hotel customer sentiment and transaction intention. Journal of Capital University of Economics and Business, 2023, 25 (05): 79-94. 
[10] Zhao Chen, Jack Ma Yun, Yu Lin, et al. Research on the functional design of isolated hotels in the post-popular era. Packaging Engineering Press, 2023, 44 (14): 91-99 + 117.
[11] Bai Ning. The impact of hotel service robot personification and online comment type on customers' willingness to spend. Research in Business Economics, 2023, (12): 181-184.
[12] Wang Xuhui, Su Chen. Anthropomorphic work can help alleviate customer dissatisfaction after failure of robot service and mediate the role of responsibility attribution [J]. Finance and Trade Research, 2023, 34 (06): 57-70.
[13] Li Jun, Song Chenpeng, Ye Haobin. Research on consumers' willingness to use service robots in an intelligent service environment [J]. Travel Magazine, 2023, 38 (06): 136-150.
[14] Chen Ling. Service robot cute design tolerance for hotel customers [D]. Sichuan Agricultural University, 2023.
[15] Hu Wenna. The impact of perceived benefits and risks on the willingness of hotel service robots is based on privacy computing theory [D]. Shanghai: Shanghai Normal University, 2022.

Downloads: 24666
Visits: 656643

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.