Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/27075
Title: Impact of Technology Acceptance Model (TAM) Factors and Trust on User Satisfaction of m-health Application Users in Colombo District
Authors: Gamage, P. T. T.
Kulasekara, G. R. S.
Keywords: Mobile health (m-health), Perceived Ease of Use (PEoU), Perceived Usefulness (PU), Trust, User Satisfaction
Issue Date: 2023
Publisher: Faculty of Commerce and Management Studies, University of Kelaniya Sri Lanka
Citation: Gamage, P. T. T.; Kulasekara, G. R. S. (2023), Impact of Technology Acceptance Model (TAM) Factors and Trust on User Satisfaction of m-health Application Users in Colombo District, 14th International Conference on Business and Information, Faculty of Commerce and Management Studies, University of Kelaniya Sri Lanka. 14
Abstract: m-health, a technical progression of e-health, evolved with the rapid growth of digital healthcare platforms, healthcare-related mobile advancements, and the internet to serve its consumers in many ways. In developing countries, most consumers use mhealth apps simply to channel doctors, order medicine, and perform other basic tasks. So, this study aims to discover the factors that influence the user satisfaction of Sri Lankan m-health application users to provide a clear rationale to m-health service providers m-health users. While this research follows a deductive, cross-sectional survey strategy-based research methodology, primary data sources are used in this study. First, this study will identify three possible factors (Perceived Ease of Use, Perceived Usefulness, and Trust) that influence the User Satisfaction of m-health application users. Then the researcher collected responses from 316 respondents by sending an online questionnaire to a sample size of 384 potential respondents. The analyzed data of this study indicated that all measures employed to measure the independent and dependent variables (PEoU, PU, Trust, and User Satisfaction) are reliable and that there are significant positive relationships between all independent and dependent variables. This research will help m-health service providers understand client expectations by providing clear conclusions. It will help them maintain and attract more users. This also gives current m-health app users a rationale to negotiate with their service providers, allowing them to demand more. Instead, future researchers can use this study's knowledge base and limitations to conduct more research.
URI: http://repository.kln.ac.lk/handle/123456789/27075
Appears in Collections:ICBI 2023

Files in This Item:
File Description SizeFormat 
ICBI 2023 14.pdf77.62 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.