UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Individual factors affecting the acceptance and adoption decisions of internet of things technology in Malaysia universities

Xiaoxiao, Dong (2024) Individual factors affecting the acceptance and adoption decisions of internet of things technology in Malaysia universities. Masters thesis, Universiti Utara Malaysia.

[thumbnail of depositpermission.pdf] Text
depositpermission.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
[thumbnail of s830448_01.pdf] Text
s830448_01.pdf
Restricted to Repository staff only

Download (964kB) | Request a copy
[thumbnail of s830448_02.pdf] Text
s830448_02.pdf
Restricted to Repository staff only

Download (492kB) | Request a copy

Abstract

The Internet of Things (IoT) is an emerging technology with the potential to transform many spheres of human activity, including schooling. More and more Malaysian schools are using IoT solutions for tasks including supply tracking, student attendance tracking, and building energy management. However, there is no consistency in how organization adopt technologies associated with the Internet of Things. While some institutions are making hasty transitions to IoT technologies, others are taking their time. An in-depth familiarity with the personal factors that affect the acceptance and deployment of IoT technology in Malaysian institutions is crucial for developing effective strategies and interventions to promote its widespread adoption. Once universities have determined the impact of (1.) social influence and (2.) educational background, they can design targeted initiatives to raise awareness, provide training programmes, and foster a culture of technological innovation among their stakeholders. This paper understands and investigates the individual variables of Social Influence and Educational Background and their impact on the Acceptance and Adoption of IoT technology in Malaysian institutions. It also composes the presentation and analysis of data collected by the researcher for the study

Item Type: Thesis (Masters)
Supervisor : Jamaludin, Norzalila and Zainol Abidin, Mohd Abidzar
Item ID: 11447
Uncontrolled Keywords: Internet of Things; Teaching Performance; Smart Campus; Virtual laboratories.
Subjects: T Technology > T Technology (General)
Divisions: School of Business Management
Date Deposited: 31 Dec 2024 07:17
Last Modified: 31 Dec 2024 07:17
Department: School of Business Management
Name: Jamaludin, Norzalila and Zainol Abidin, Mohd Abidzar
URI: https://etd.uum.edu.my/id/eprint/11447

Actions (login required)

View Item
View Item