IMPACT OF IN-ROOM TECHNOLOGIES ON GUEST SATISFACTION AMONG FOUR AND FIVE HOTELS IN KUALA LUMPUR CITY CENTRE
DOI:
https://doi.org/10.55197/qjssh.v7si5.1752Keywords:
technologies, guest satisfaction, innovativeness, hotelAbstract
Luxury hotels increasingly deploy interactive, in-room digital systems to align with heightened technological expectation of contemporary travelers. Specifically, this study focuses on the implementation of smart room technologies within four- and five-star hotels in Kuala Lumpur City Centre. This study aims to examine the impact of hotel technology on guest satisfaction by evaluating the specific roles of confirmation, perceived usefulness, and innovativeness using the Expectation-Confirmation Model (ECM). Data were gathered through an online questionnaire from a target population of hotel guests with prior experience using in-room technology, utilizing a cluster sampling method. The analysis was conducted using SPSS and the Partial Least Square-Structural Equation Model (PLS-SEM) with SmartPLS 4.0, yielding 119 usable responses out of the 172 originally collected. The results of the study prove that in the context of smart room technology, both perceived usefulness and innovativeness have a significantly positive impact on guest satisfaction. However, confirmation does not have a significant impact on guest satisfaction. Practically, the findings suggest that smart hotels must maintain dedicated on-site support teams to handle guest inquiries and ensure a consistently high level of service 8. Academically, this study expands the traditional ECM framework by highlighting the critical role of innovativeness in shaping guest preferences and experiences.
References
[1] Ali, A.S.M., Nurin, S.S., Mohi, Z. (2023): Room guest satisfaction towards guestroom physical environment quality in the theme hotel. – Journal of Tourism, Culinary, and Entrepreneurship 3(2): 213-240.
[2] Al-Saeed, M. (2024): Post-experience evaluation of smart technologies in luxury service operations. – International Journal of Contemporary Hospitality Management 36(2): 415-432.
[3] Ambalov, I.A. (2018): A meta-analysis of IT continuance: An evaluation of the expectation confirmation model. – Telematics and Informatics 35(6): 1561-1571.
[4] Anderson, J.C., Gerbing, D.W. (1988): Structural equation modeling in practice: A review and recommended two-step approach. – Psychological Bulletin 103(3): 411-423.
[5] Bhattacherjee, A. (2001): Understanding information systems continuance: An expectation-confirmation model. – MIS Quarterly 25(3): 351-370.
[6] Brooker, E., Joppe, M. (2014): Developing a tourism innovation typology. – Journal of Travel Research 53(4): 500-508.
[7] Buhalis, D. (Ed.) (2022): Encyclopedia of tourism management and marketing. – Edward Elgar Publishing, Cheltenham 4: 3528p.
[8] Buhalis, D., Leung, R. (2018): Smart hospitality-interconnectivity and interoperability towards an ecosystem. – International Journal of Hospitality Management 71: 41-50.
[9] Çalık, E., Çalışır, F., Cetinguc, B. (2017): A scale development for innovation capability measurement. – Journal of Advanced Management Science 5(2): 69-76.
[10] Chen, L., Zhang, Y. (2025): Seamless smart room services and guest continuance decisions in urban luxury destinations. – Tourism Management 105: 12p.
[11] Chin, W.W. (1998): Commentary: Issues and opinion on structural equation modeling. – MIS Quarterly 22(1): 10p.
[12] Çobanoğlu, C., Berezina, K., Kasavana, M.L., Erdem, M. (2011): The impact of technology amenities on hotel guest overall satisfaction. – Journal of Quality Assurance in Hospitality and Tourism 12(4): 272-288.
[13] Davis, F.D. (1989): Perceived usefulness, perceived ease of use, and user acceptance of information technology. – MIS Quarterly 13(3): 319-340.
[14] Demirciftci, T., Bilgihan, A., Erdem, M., Baloglu, S. (2023): Examining the role of personality traits in guestroom technologies. – Journal of Hospitality and Tourism Insights 7(1): 352-370.
[15] Dhiman, N., Jamwal, M. (2023): Tourists’ post-adoption continuance intentions of chatbots: Integrating task–technology fit model and expectation–confirmation theory. – Foresight 25(2): 209-224.
[16] Doll, W.J., Hendrickson, A.R., Deng, X. (1998): Using Davis's perceived usefulness and ease-of-use instruments for decision making: A confirmatory and multigroup invariance analysis. – Decision Sciences 29(4): 839-869.
[17] Eriksson, N., Fagerstrøm, A. (2018): The relative impact of Wi-Fi service on young consumers’ hotel booking online. – Journal of Hospitality and Tourism Research 42(7): 1152-1169.
[18] Gupta, A., Dhiman, N., Yousaf, A., Arora, N. (2021): Social comparison and continuance intention of smart fitness wearables: An extended expectation confirmation theory perspective. – Behaviour and Information Technology 40(2): 1-14.
[19] Henseler, J., Ringle, C.M., Sarstedt, M. (2015): A new criterion for assessing discriminant validity in variance-based structural equation modeling. – Journal of the Academy of Marketing Science 43: 115-135.
[20] Kim, J.J., Han, H. (2020): Hotel of the future: Exploring the attributes of a smart hotel adopting a mixed-methods approach. – Journal of Travel and Tourism Marketing 37(7): 804-822.
[21] Lai, W.C., Hung, W.H. (2018): A framework of cloud and AI-based intelligent hotel. – Proceedings of the 18th International Conference on Electronic Business, Guilin, China 8p.
[22] Lankton, N.K., McKnight, D.H., Thatcher, J.B. (2014): Incorporating trust-in-technology into expectation disconfirmation theory. – Journal of Strategic Information Systems 23(2): 128-145.
[23] Liao, H., Toya, K., Lepak, D.P., Hong, Y. (2009): Do they see eye to eye? Management and employee perspectives of high-performance work systems and influence processes on service quality. – Journal of Applied Psychology 94(2): 371-391.
[24] Maamari, B.E., Chaanine, J.C. (2020): Social media user self-efficacy moderating hotel satisfaction and posting behavior. – International Journal of Leisure and Tourism Marketing 7(1): 67-83.
[25] Miswan, A.F., Ismail, M.N.I., Zulkifly, M.I. (2025): Enhancing customer loyalty through QR code menu system: The satisfaction in urban Malaysian restaurants. – Quantum Journal of Social Sciences and Humanities 6(SI3): 32-46.
[26] Rouibah, K., Abbas, H.A., Rouibah, S. (2011): Factors affecting camera mobile phone adoption before e-shopping in the Arab world. – Technology in Society 33(3-4): 271-283.
[27] Stylos, N., Fotiadis, A.K., Shin, D.D., Huan, T.-C.T. (2021): Beyond smart systems adoption: Enabling diffusion and assimilation of smartness in hospitality. – International Journal of Hospitality Management 98: 12p.
[28] Torres, E.N., Adler, H., Behnke, C. (2014): Stars, diamonds, and other shiny things: The use of expert and consumer feedback in the hotel industry. – Journal of Hospitality and Tourism Management 21: 34-43.
[29] Wikhamn, W. (2019): Innovation, sustainable HRM and customer satisfaction. – International Journal of Hospitality Management 76: 102-110.
[30] Wilson, N., Keni, K., Tan, P.H.P. (2021): The role of perceived usefulness and perceived ease-of-use toward satisfaction and trust which influence computer consumers’ loyalty in China. – Gadjah Mada International Journal of Business 23(3): 262-294.
[31] Yang, H., Song, H., Cheung, C., Guan, J. (2021): How to enhance hotel guests’ acceptance and experience of smart hotel technology: An examination of visiting intentions. – International Journal of Hospitality Management 97: 12p.
[32] Zheng, L. (2020): The role of consumption emotions in users' mobile gaming application continuance intention. – Information Technology and People 33(1): 340-360.
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Copyright (c) 2026 MOHAMMAD ALIFF AKMA SHER MOHAMAD, NORHAMIZAN HAMIR, NORLIANA HASHIM, SANTHANAMERY THOMINATHAN, MUHAMAD FAIZ AZHAR, SITI SARAH NASIRAH OTHMAN
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