Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical locatio...

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Published inApplied sciences Vol. 11; no. 10; p. 4672
Main Authors Castiblanco Jimenez, Ivonne Angelica, Cepeda García, Laura Cristina, Marcolin, Federica, Violante, Maria Grazia, Vezzetti, Enrico
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2021
Subjects
Agriculture
Design
e-learning applications
Education
Entrepreneurs
Farmers
Information systems
Innovations
Laboratories
Online instruction
Social research
Sustainable development
TAM
technology acceptance
Technology Acceptance Model
Technology adoption
Virtual reality
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Summary:Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app11104672