This research was about the continuous intention of healthcare professionals to use
internet of medical things (IoMT) embedded with artificial intelligence (AI). IoMT and AI
are evolving innovations and diffusing at the same time. It was not known in what way the
two complex technologies diffusing concurrently could influence continuous intention to
use IoMT. In addition, behavioural aspects namely motivation and training to use IoMT
have been argued to intervene in the relationship between an AI based IoMT and
continuous intention to use IoMT. Diffusion of Innovation theory was applied to explain
the relationship between diffusion factors that aid the diffusion of AI based IoMT and
continuous intention to use IoMT. The five factors relative advantage, compatibility,
complexity, observability and trialability were chosen as determinants of continuous
intention to use IoMT using DoI theory. Self-determination theory and theory of planned
behaviour were used to introduce the interventions in the relationship between diffusion
factors and continuous intention to use IoMT. UTAUT was used to explain the influence
of the moderators artificial intelligence awareness, novelty seeking behaviour and age of healthcare professionals. The central issue investigated was the determinants of
continuous intention of healthcare professionals to use IoMT with behavioural attributes
of motivation and training conceived as mediators of the relationship between diffusion
factors and continuous intention to use IoMT in the presence of moderators.
Quantitative research methodology was used to test the research model developed to
understand the relationship between the five diffusion of innovation theory factors and
continuous intention to use IoMT when AI based IoMT is still diffusing. The concurrent
diffusion of two new technologies was investigated using a research model that was
developed for studying the healthcare professionals and their intention. The research was conducted in Bahrain in the healthcare sector. A sample of 354 healthcare professionals
participated in the research. Structural equation modelling was used to analyse the data
and test the hypothesis.
The research showed that healthcare professionals will continue to use concurrently
diffusing technologies depending on the relative advantage, complexity and compatibility
of the innovations that diffuse. In addition, the results show that healthcare professionals
will be motivated by the compatibility of AI-based IoMT if they have to continuously use
IoMT. Furthermore, training enables both the organization and the healthcare
professionals to overcome dilemma in case they have to continue to use an innovation
during its diffusion or when new innovation surface in the market. Finally, artificial
intelligence awareness is able to moderate the relationship between relative advantage,
complexity and training to use IoMT. Thus, this research contributes to the discipline of
behavioural intention of healthcare professionals in determining the influence of an
artificial intelligence based IoMT on continuous intention to use IoMT when artificial
intelligence embedded in IoMT diffuses concurrently with IoMT. Where IoMT diffusion factors can be used as a determine of continuous intention to use IoMT, artificial intelligence could be understood as a moderator of the relationship between diffusion factors and training to use IoMT, thus demonstrating the combined diffusion of the two technologies diffusing concurrently.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/19852 |
| Date | January 2022 |
| Creators | Aldhaen, Fatema S.F.A. |
| Contributors | Weerakkody, Vishanth J.P., Sivarajah, Uthayasankar |
| Publisher | University of Bradford, Faculty of Management, Law and Social Sciences |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Thesis, doctoral, PhD |
| Rights | <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. |
Page generated in 0.0025 seconds