Internet of things readiness model for higher learning institutions in Kenya

The Internet of Things (IoT) has been an effective tool in enhancing access to information in learning environments to assist Higher Learning Institutions (HLIs) in improving the quality of education. There have been many successful implementations of IoT in educational sectors in developed countrie...

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Main Author:	Chweya, Ruth
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/101567/1/RuthChweyaPSC2021.pdf
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id	my-utm-ep.101567
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spelling	my-utm-ep.1015672023-06-26T02:07:41Z Internet of things readiness model for higher learning institutions in Kenya 2021 Chweya, Ruth QA75 Electronic computers. Computer science The Internet of Things (IoT) has been an effective tool in enhancing access to information in learning environments to assist Higher Learning Institutions (HLIs) in improving the quality of education. There have been many successful implementations of IoT in educational sectors in developed countries. However, an exploration of previous studies on the usage of IoT shows that only a few studies have investigated IoT readiness within developing countries. The increase in the number of students, lack of enough physical infrastructure, lack of equity, and low funding has led to poor quality of education in Kenya. Therefore, the objective of this research is to analyse factors influencing IoT readiness and to propose a readiness model for Higher Learning Institutions in Kenya. The model is developed through the Softwareas- a-Service (SaaS), and Tripod Readiness and Technology Readiness Index (TRI) models. Thirteen hypotheses are employed for the proposed model to test the impact of the readiness factors on the implementation of IoT by HLIs. A survey is conducted to examine the influence of the identified readiness factors on the implementation of IoT. A total of 181 respondents from three top Information and Communications Technology (ICT) learning institutions participated in the study. The collected data is analysed using the Partial Least Squares (PLS) method based on Structural Equation Modelling (SEM) and the Importance Performance Matrix (IPMA) is used to extract critical IoT readiness factors. The outcomes show that Relative Advantage, Simplicity, Compatibility, Top Management Support, IT Infrastructure, Competitor Pressure, Optimism and Insecurity had an impact on the implementation of IoT by HLIs. However, Experienceability, Partner Pressure, and Discomfort had no impact on IoT readiness. The outcome of this research shows that TRI influences technological, organizational, and environmental readiness on IoT readiness and attitude towards IoT. Moreover, both organizational and people factors are significant for IoT readiness in HLIs. The study offers an instrument and an IoT Readiness Model for implementing IoT in Kenyan HLIs. 2021 Thesis http://eprints.utm.my/id/eprint/101567/ http://eprints.utm.my/id/eprint/101567/1/RuthChweyaPSC2021.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150639 phd doctoral Universiti Teknologi Malaysia Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Chweya, Ruth Internet of things readiness model for higher learning institutions in Kenya
description	The Internet of Things (IoT) has been an effective tool in enhancing access to information in learning environments to assist Higher Learning Institutions (HLIs) in improving the quality of education. There have been many successful implementations of IoT in educational sectors in developed countries. However, an exploration of previous studies on the usage of IoT shows that only a few studies have investigated IoT readiness within developing countries. The increase in the number of students, lack of enough physical infrastructure, lack of equity, and low funding has led to poor quality of education in Kenya. Therefore, the objective of this research is to analyse factors influencing IoT readiness and to propose a readiness model for Higher Learning Institutions in Kenya. The model is developed through the Softwareas- a-Service (SaaS), and Tripod Readiness and Technology Readiness Index (TRI) models. Thirteen hypotheses are employed for the proposed model to test the impact of the readiness factors on the implementation of IoT by HLIs. A survey is conducted to examine the influence of the identified readiness factors on the implementation of IoT. A total of 181 respondents from three top Information and Communications Technology (ICT) learning institutions participated in the study. The collected data is analysed using the Partial Least Squares (PLS) method based on Structural Equation Modelling (SEM) and the Importance Performance Matrix (IPMA) is used to extract critical IoT readiness factors. The outcomes show that Relative Advantage, Simplicity, Compatibility, Top Management Support, IT Infrastructure, Competitor Pressure, Optimism and Insecurity had an impact on the implementation of IoT by HLIs. However, Experienceability, Partner Pressure, and Discomfort had no impact on IoT readiness. The outcome of this research shows that TRI influences technological, organizational, and environmental readiness on IoT readiness and attitude towards IoT. Moreover, both organizational and people factors are significant for IoT readiness in HLIs. The study offers an instrument and an IoT Readiness Model for implementing IoT in Kenyan HLIs.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Chweya, Ruth
author_facet	Chweya, Ruth
author_sort	Chweya, Ruth
title	Internet of things readiness model for higher learning institutions in Kenya
title_short	Internet of things readiness model for higher learning institutions in Kenya
title_full	Internet of things readiness model for higher learning institutions in Kenya
title_fullStr	Internet of things readiness model for higher learning institutions in Kenya
title_full_unstemmed	Internet of things readiness model for higher learning institutions in Kenya
title_sort	internet of things readiness model for higher learning institutions in kenya
granting_institution	Universiti Teknologi Malaysia
granting_department	Faculty of Engineering - School of Computing
publishDate	2021
url	http://eprints.utm.my/id/eprint/101567/1/RuthChweyaPSC2021.pdf
_version_	1776100728543117312

Internet of things readiness model for higher learning institutions in Kenya

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