Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Technology Acceptance Model for the Use of M-Health Services among health related users in UAE

Alloghani, MAMA and Hussain, A and Al-Jumeily, D and Abuelmaatti, OE Technology Acceptance Model for the Use of M-Health Services among health related users in UAE. In: 8th International Conference Development in eSystems Engineering . (DeSE 2015, 13 December 2015 - 14 December 2015, Burj Khalifa, Dubai, UAE). (Accepted)

[img] Text
1570206125.pdf - Accepted Version

Download (109kB)

Abstract

This paper aims to identify the main factors that influence health related users' acceptance to mobile health services technology as a mean for receiving general health services. This study proposes Technology Acceptance Model (TAM) modified by incorporating external variables including perceived security and perceived trust in order to determine the factors that mostly influence the intention to use M-Health services. In this study, the proposed research model and hypotheses tested and validated with a data collected from the survey questionnaires distributed to a sample of 144 Emiratis and Non-Emiratis patients, general health users and health professional. In our research, we apply the frequency analysis, descriptive analysis, correlation test, t-test, Reliability & convergence and discriminant validity. The research made an in-depth examination of the variables that influence the intention to use MHealth services by focusing on main stakeholders including patients, visitors and health professionals. The proposed research model is applicable as per the results achieved from the survey and it can be applied to evaluate M-Health users' acceptance and help government and non-government entities to develop m-health services that align with the needs of the users.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science
Date Deposited: 24 May 2016 09:00
Last Modified: 24 May 2016 09:00
URI: http://researchonline.ljmu.ac.uk/id/eprint/3653

Actions (login required)

View Item View Item