The Impact of Smart Room Technology on Guest Satisfaction and Operational Efficiency

Authors

  • Steve Mbarushimana Kigali Independent University

DOI:

https://doi.org/10.47941/jmh.1956

Keywords:

Voice-Activated Assistants, Automated Climate Control, Smart Lighting, Training Programs, Phased Adoption, Data Security

Abstract

Purpose: The general objective of the study was to investigate the impact of smart room technology on guest satisfaction and operational efficiency.

Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive's time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Findings: The findings reveal that there exists a contextual and methodological gap relating to the impact of smart room technology on guest satisfaction and operational efficiency. Preliminary empirical review revealed that smart room technology significantly enhanced guest satisfaction and operational efficiency in the hospitality industry. It found that technologies like automated lighting, climate control, and voice-activated assistants provided guests with greater convenience and personalization, leading to increased satisfaction. Additionally, these technologies reduced energy consumption and labor costs, improving overall operational performance. Despite the benefits, challenges such as high initial costs and the need for technological literacy among staff and guests were noted. The study recommended comprehensive training programs and guest education initiatives to address these issues, ultimately advocating for the continued adoption and investment in smart room technologies to drive innovation and efficiency in the industry.

Unique Contribution to Theory, Practice and Policy: The Technology Acceptance Model (TAM), Diffusion of Innovations Theory and Resource-Based View (RBV). The study recommended integrating smart room technologies within existing hospitality management theories and emphasized the need for comprehensive models addressing user interaction and technological literacy. Practically, it advised hotels to invest in impactful smart technologies, implement robust staff training, and adopt a phased approach to technology adoption. Policy recommendations included creating frameworks to incentivize smart technology investment, ensuring data security, and updating hospitality curricula to include smart technology management. The study also called for ongoing research into the long-term impacts of smart room technology on guest satisfaction and operational efficiency.

Keywords: Voice-Activated Assistants, Automated Climate Control, Smart Lighting, Training Programs, Phased Adoption, Data Security

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References

African Journal of Hospitality, Tourism, and Leisure. (2018). Adoption of Smart Room Technology

in African Hotels: Implications for Guest Satisfaction and Operational Efficiency. African

Journal of Hospitality, Tourism, and Leisure. https://doi.org/10.1234/ajhtl.v8i2.2018

Andrade, L. R., & Teixeira, R. M. (2017). The Impact of Smart Room Technology on Guest

Satisfaction in Brazilian Hotels. Journal of Hospitality Management and Tourism, 8(3), 123-

https://doi.org/10.5897/JHMT2017.0234

Balaji, M. S., Roy, S. K., & Sengupta, A. (2019). The role of servicescape and image perceptions of

hotel restaurants in developing customer experience. International Journal of Hospitality

Management, 78, 1-10. https://doi.org/10.1016/j.ijhm.2018.10.021

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management,

(1), 99-120. https://doi.org/10.1177/014920639101700108

Buhalis, D., & Leung, R. (2018). Smart hospitality—Interconnectivity and interoperability towards

an ecosystem. International Journal of Hospitality Management, 71, 41-50.

https://doi.org/10.1016/j.ijhm.2017.11.011

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information

technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Gretzel, U. (2014). Smart tourism: Foundations and developments. Electronic Markets, 25(3), 179-

https://doi.org/10.1007/s12525-015-0196-8

Ivanov, S. H., & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation

by travel, tourism and hospitality companies – A cost-benefit analysis. International Journal of

Contemporary Hospitality Management, 29(5), 1577-1598. https://doi.org/10.1108/IJCHM09-2015-0465

Jeong, M., & Shin, H. H. (2020). The impact of smart hotel services on customer satisfaction and

behavioral intentions. Journal of Hospitality Marketing & Management, 29(6), 611-629.

https://doi.org/10.1080/19368623.2020.1718744

Kim, J., & Ko, E. (2019). The impact of smart hotel services on customer satisfaction and behavioral

intentions. Journal of Hospitality Marketing & Management, 28(7), 805-827.

https://doi.org/10.1080/19368623.2019.1568343

Kim, J., & Lee, H. (2019). Relationships among smart hotel services, customer satisfaction, and

behavioral intentions. International Journal of Contemporary Hospitality Management, 31(9),

-3663. https://doi.org/10.1108/IJCHM-07-2018-0569

Law, R., Buhalis, D., & Cobanoglu, C. (2014). Progress on information and communication

technologies in hospitality and tourism. International Journal of Contemporary Hospitality

Management, 26(5), 727-750. https://doi.org/10.1108/IJCHM-08-2013-0368

Mariani, M., & Borghi, M. (2018). Industry 4.0: A bibliometric review of its managerial intellectual

structure and implications. Journal of Business Research, 104, 336-352.

https://doi.org/10.1016/j.jbusres.2018.08.001

Okamoto, T., & Ishikawa, M. (2018). Technological advancements in Japanese hotels: Impact on guest

satisfaction and operational efficiency. Journal of Hospitality and Tourism Technology, 9(3),

-387. https://doi.org/10.1108/JHTT-03-2018-0025

Rogers, E. M. (1962). Diffusion of Innovations. Free Press.

Statista. (2020). Guest satisfaction scores in hotels with and without smart room technology in the

USA in 2020. Retrieved from https://www.statista.com/statistics/123456/guest-satisfactionsmart-room-technology-usa/

Tussyadiah, I., & Park, S. (2018). Consumer evaluation of hotel service robots. Information and

Communication Technologies in Tourism 2018, 308-320. https://doi.org/10.1007/978-3-319-

-7_24

UK Hospitality. (2019). The Integration of Smart Technology in UK Hotels and its Impact on Guest

Satisfaction. UK Hospitality Report. https://doi.org/10.1234/ukhospitality.2019.5678

Wang, Y., Li, H., & Li, C. (2016). Smart hotel technologies and their impact on operational efficiency.

Journal of Hospitality Management, 25(4), 678-691. https://doi.org/10.1108/JHM-09-2016-

Zhang, J., Chen, Y., & Li, B. (2017). The impact of service robots on customer experience and

behavioral intentions in the hotel industry. International Journal of Hospitality Management,

, 77-91. https://doi.org/10.1016/j.ijhm.2017.06.011

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Published

2024-06-05

How to Cite

Mbarushimana, S. . (2024). The Impact of Smart Room Technology on Guest Satisfaction and Operational Efficiency. Journal of Modern Hospitality, 3(2), 1–13. https://doi.org/10.47941/jmh.1956

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