Predicting consumer intention to use electronic health service: An empirical structural equation modeling approach

Victor Bondzie-Micah*, Qigui Sun, Vincent Ekow Arkorful, Benjamin Kweku Lugu, Geoffrey Bentum-Micah, Aurelia Naa Ayikaikor Ayi-Bonte

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The enormous potential inherent in the use of technological enhancements has subsequently informed the deployment of technologies into mainstream health service and delivery. However, a larger population of health technology consumers, specifically patients, are touted to be significantly constrained in its usage. Against this backdrop, our study employs an integrated model anchored on the technology acceptance model and the theory of planned behavior to investigate patients' electronic health use. Our study elicited data from 360 respondents, of which 311 were deemed feasible for the study. Structural equation modeling analysis of data revealed perceived usefulness and perceived ease of use has a relevant positive effect on attitude. Furthermore, the authors found; attitude, internet dependency, perceived behavioral control and the subjective norm also have a relevant positive impact on intention to use electronic health service. Premised on the findings, recommendations about enhancing consumer electronic health use and areas for further studies are successively delineated.
Original languageEnglish
Article numbere2677
JournalJournal of Public Affairs
Volume22
Issue number4
Early online date25 Mar 2021
DOIs
Publication statusPublished - Nov 2022

Scopus Subject Areas

  • Political Science and International Relations
  • Public Administration

Fingerprint

Dive into the research topics of 'Predicting consumer intention to use electronic health service: An empirical structural equation modeling approach'. Together they form a unique fingerprint.

Cite this