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.
Highlights
In the current high-speed connected world, there is a growing awareness of the advantages offered by information and communication technologies (ICT) and their crucial role in fostering human progress, promoting knowledge societies, supporting sustainable development [1,2] and accelerating economic growth [3]
Our objective was to conduct a literature review to identify the most common external variables used in Technology Acceptance Model (TAM) applications using the Quality Function Deployment (QFD) to give structure to the research
Our analysis focused on three sectors, namely, e-learning, agriculture, and virtual reality
Summary
In the current high-speed connected world, there is a growing awareness of the advantages offered by information and communication technologies (ICT) and their crucial role in fostering human progress, promoting knowledge societies, supporting sustainable development [1,2] and accelerating economic growth [3]. The validity of the TAM has been examined in sectors such as food industry [8], wearable technologies [9], health [10], social media [11], electronic commerce [12], energy services [13], financial services [14], among others. Under this model’s theoretical and practical logic, we want to measure the potential acceptance of an e-learning tool designed for 29 EU farmers and agricultural entrepreneurs within a European Erasmus + project (FARMER 4.0—Farmer teaching and training laboratories). Under the TRA theory, Ajzen et al identified two factors that significantly influence the user’s intention: the attitude toward the behavior and the subjective norms
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