Modelo de aceitação para tecnologias digitais na agricultura: aplicação à sistemas de informação de gestão agrícola
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Universidade Federal de São Carlos
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Farmers who are able to take advantage of the benefits arising from the use of Agriculture 4.0
technologies will gain a competitive advantage through cost reduction, resource savings and
increased productivity. Despite this situation, many farmers are reluctant or face obstacles to
the adoption of digital technologies. It is in this context that the identification and analysis of
acceptance factors and use of digital technologies by Brazilian rural producers assumes all its
relevance and contemporaneity. Therefore, this thesis proposes an adaptation of the Unified
Theory of Acceptance and Use of Technology (UTAUT), incorporating the effect of new
variables arising from the phenomenon of digital agriculture, for the study of the acceptability
of Agricultural Management Information Systems (Farm Management Information Systems
(FMIS)) by Brazilian farmers. Thus, this thesis envisaged the creation and validation of an
analytical model via a survey research, in which respondents were invited to participate in an
online electronic format. The collected data were treated using descriptive and multivariate
statistics. Structural equation modeling (SEM) using the partial least squares approach (PLS-
SEM) with a global adequacy adjustment was used for model analysis. The results confirmed
three of the ten proposed hypotheses. Effort expectancy and external pressure positively
influence farmers' behavioral intention to use FMIS. On the other hand, perceived cost
negatively influences farmers' intention to use FMIS. This study provides valuable
contributions to studies of behavioral models and the role of different factors in FMIS
acceptability. The findings could be useful to both farmers and other stakeholders, including
extension agents, the government, contractors, agronomists and farm workers
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LIMA, Anderson Rodolfo. Modelo de aceitação para tecnologias digitais na agricultura: aplicação à sistemas de informação de gestão agrícola. 2023. Tese (Doutorado em Engenharia de Produção) – Universidade Federal de São Carlos, São Carlos, 2023. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/20267.
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