Determinants of the Acceptance of Mobile Learning as an Element of Human Capital Training In Organisations

Technological Forecasting & Social Change, Forthcoming

35 Pages Posted: 27 Aug 2018 Last revised: 17 Oct 2019

See all articles by Marta Vidal

Marta Vidal

Universidad Europea de Madrid; Universidad Complutense de Madrid (UCM)

Maria Francisca Blasco

Universidad Complutense de Madrid (UCM)

Migue Angel Sastre

Universidad Complutense de Madrid (UCM)

Date Written: August 2, 2018

Abstract

Technology has changed the way we communicate, do business and conduct all manner of activities, including organisational training at any time and place. E-learning provides a consolidated training methodology for organisations, opening the way to the latest mobile learning where employees can access content through mobile devices. Given the business opportunities this offers, companies must understand their employees’ acceptance of new technologies. Based on the TAM3 model, an extended version of the original TAM model (Technology Acceptance Model), the main objective of our research is to examine the determinants of the acceptance of mobile learning (m-learning) as an element of employee training. To this end, data was collected through an e-questionnaire of 268 workers who receive all or part of their training through mobile devices. The results obtained have made it possible to confirm most of our hypotheses and verify that the acceptance of m-learning can be reasonably well predicted from individuals' behavioural intention, which is determined by perceived usefulness and perceived ease of use. The results have interesting implications for business management.

Note: Downloadable document is in English.

Keywords: mobile learning; training; human resources; ICT; technology acceptance model

Suggested Citation

Vidal, Marta and Blasco, Maria Francisca and Sastre, Migue Angel, Determinants of the Acceptance of Mobile Learning as an Element of Human Capital Training In Organisations (August 2, 2018). Technological Forecasting & Social Change, Forthcoming, Available at SSRN: https://ssrn.com/abstract=3225078 or http://dx.doi.org/10.2139/ssrn.3225078

Marta Vidal (Contact Author)

Universidad Europea de Madrid ( email )

Villaviciosa de Odón
Madrid, 28670
Spain

Universidad Complutense de Madrid (UCM) ( email )

Somosaguas Campus
Madrid, 28223
Spain

Maria Francisca Blasco

Universidad Complutense de Madrid (UCM)

Carretera de Humera s/n
Madrid, Madrid 28223
Spain

Migue Angel Sastre

Universidad Complutense de Madrid (UCM)

Carretera de Humera s/n
Madrid, Madrid 28223
Spain

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
185
Abstract Views
1,048
Rank
297,160
PlumX Metrics