Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications
Ivonne Angelica Castiblanco Jimenez,
Laura Cristina Cepeda García,
Maria Grazia Violante,
Federica Marcolin and
Enrico Vezzetti
Additional contact information
Ivonne Angelica Castiblanco Jimenez: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Laura Cristina Cepeda García: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Maria Grazia Violante: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Federica Marcolin: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Enrico Vezzetti: Department of Management and Production Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy
Future Internet, 2020, vol. 13, issue 1, 1-21
Abstract:
In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agriculture. The benefits of such technologies in agriculture can be appreciated only if farmers use them. In order to predict and evaluate the adoption of these new technological tools, the technology acceptance model (TAM) can be a valid aid. This paper identifies the most commonly used external variables in e-learning, agriculture and virtual reality applications for further validation in an e-learning tool designed for EU farmers and agricultural entrepreneurs. Starting from a literature review of the technology acceptance model, the analysis based on Quality Function Deployment (QFD) shows that computer self-efficacy, individual innovativeness, computer anxiety, perceived enjoyment, social norm, content and system quality, experience and facilitating conditions are the most common determinants addressing technology acceptance. Furthermore, findings evidenced that the external variables have a different impact on the two main beliefs of the TAM Model, Perceived Usefulness (PU) and Perceived Ease of Use (PEOU). This study is expected to bring theoretical support for academics when determining the variables to be included in TAM extensions.
Keywords: TAM; e-learning; agriculture; virtual reality; QFD; technology acceptance (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1999-5903/13/1/7/pdf (application/pdf)
https://www.mdpi.com/1999-5903/13/1/7/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:13:y:2020:i:1:p:7-:d:472827
Access Statistics for this article
Future Internet is currently edited by Ms. Grace You
More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().