User Acceptance of Technology: Statistical Analysis of Training’s Impact on Local Government Employees’ Perceived Usefulness and Perceived Ease-of-Use

E. Falco, Constantinos Stylianou, Gilberto Martinez, R.J. Kleinhans, Sara Basso-Moro, Haris Neophytou

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
32 Downloads (Pure)

Abstract

This article investigates how training public officials from two municipalities in Spain and Cyprus with new technologies affects three dependent variables: level of understanding of the technological innovation being introduced, its perceived usefulness, and its perceived ease-of-use. The tests to determine the impact of training were carried out by means of a self-constructed questionnaire within a repeated measure experimental design. The results demonstrate that the three variables are indeed positively affected by the training sessions to users from both municipalities. Consequently, training plays a vital role in encouraging government employees and administrators to accept, adopt and utilize e-government technologies.
Original languageEnglish
Pages (from-to)85-104
Number of pages20
JournalInternational Journal of Electronic Government Research (IJEGR)
Volume16
Issue number3
DOIs
Publication statusPublished - 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Electronic Governance
  • Electronic Government
  • Perceived Ease-of-Ease
  • Perceived Usefulness
  • Smart Governance
  • Social Media
  • User Acceptance

Fingerprint

Dive into the research topics of 'User Acceptance of Technology: Statistical Analysis of Training’s Impact on Local Government Employees’ Perceived Usefulness and Perceived Ease-of-Use'. Together they form a unique fingerprint.

Cite this