Citation

Loke, Chun Kiat (2024) Enhancing elevator system performance through Internet of Things integration. Masters thesis, Multimedia University.

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Abstract

This dissertation explored how the integration of Internet of Things (IoT) technology revolutionized elevator systems. It investigated user attitudes towards IoT-enabled elevators using the SERVQUAL and UTAUT frameworks. Out of 132 distributed questionnaires, 120 were used, resulting in a response rate of 90.9%. Data collection was structured around SERVQUAL and UTAUT constructs, covering dimensions such as tangibles, reliability, responsiveness, assurance, empathy, user satisfaction, performance expectancy, effort expectancy, social influence, facilitating conditions, behavioural intention, and use behaviour. The hypotheses were tested using Structural Equation Modelling (SEM) in Smart PLS 4 version 4.1.0.2. UTAUT results showed no impact of Performance Expectancy and Social Influence on Behavioural Intention, but Effort Expectancy and Facilitating Condition positively influenced it. Additionally, Behavioural Intention positively predicted user adoption likelihood and correlated with Use Behaviour and Facilitating Condition, while demographic factors showed no significance. SERVQUAL analysis revealed no impact of Reliability, Responsiveness, and Assurance on user satisfaction, but Empathy and Tangibility positively influenced it. Overall, the dissertation enhanced understanding of IoT integration in elevators and its impact on performance and user satisfaction. The findings could aid elevator manufacturers and building managers in incorporating IoT technologies for more efficient and reliable systems, and gaining a competitive edge.

Item Type:	Thesis (Masters)
Additional Information:	Call No.: TK5105.8857 .L65 2024
Uncontrolled Keywords:	Internet of things
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Management (FOM) > MBA Programme
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	16 May 2025 06:31
Last Modified:	21 May 2025 08:37
URII:	http://shdl.mmu.edu.my/id/eprint/13790

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