TY  - BOOK
AU  - Usman,Abubakar
AU  - Adalıer,Ahmet
TI  - FACTORS INFLUENCING THE ADOPTION OF  INTERNET OF THINGS (IOT) IN HIGHER  EDUCATION
PY  - 2023///
KW  -  Social influence
KW  - Dissertations, Academic
KW  -  Internet of things
N1  - Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Management Information Systems; Includes bibliography (sheets 52-56)
N2  - ABSTRACT
The Internet of Things (IoT) is a term used to describe a network of physical objects 
that are connected to each other. They have special sensors and tools that allow them 
to collect and share information with each other through the internet. This technology 
has the potential to bring various benefits to different areas of our lives. IoT 
technologies offer opportunities for creating smart classrooms, personalizing learning 
experiences, and enhancing administrative efficiency in the educational context. The
aim of the study is to examine the factors influencing the adoption of IoT in higher 
education. A quantitative research design is used in this study. A total of 400 students 
participated in the study. A convenient sampling technique is employed, and the 
research is carried out among higher education institutions in the Northern Cyprus. In 
this research, the scale developed by Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012), 
Chin-Lung Hsu, Judy Chuan-Chuan Lin (2018) and Tan, P. J. B. (2013) were used. In 
the case of performance expectancy, effort expectancy, and facilitating conditions they 
all proved not to be a key factor, as most students are concerned with the privacy risk 
that comes with the collection and use of their data, as well as whether their fellow 
students are gaining value from the usage of IoT services. Perceived privacy risk had 
the highest influence on predicting IoT usage among all the factors. For educational 
purposes, IoT can be a platform for students to gain a better understanding of their 
performance, drive greater innovation and knowledge sharing, and provide a platform 
for educators to make data-driven decision making in a situation where a student's 
academic performance needs to be addressed, however this factor shows that data 
privacy remains a massive concern amongst users of technology and when 
implementing any policy that requires the acquisition and use of such data, users must 
be made to understand that their privacy is maintained. 
Keywords: Behavioral Intention, Effort Expectancy, Performance Expectancy, 
Perceived Privacy Risk, Perceived Value, Social Influence
ER  -