This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies. The literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.Diffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies. Research limitations/implications: So far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm. Practical implications: On the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them. This study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.

Giua C., Materia V.C., Camanzi L. (2021). Management information system adoption at the farm level: evidence from the literature. BRITISH FOOD JOURNAL, 123(3), 884-909 [10.1108/BFJ-05-2020-0420].

Management information system adoption at the farm level: evidence from the literature

Giua C.
Primo
;
Camanzi L.
Ultimo
2021

Abstract

This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies. The literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.Diffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies. Research limitations/implications: So far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm. Practical implications: On the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them. This study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.
2021
Giua C., Materia V.C., Camanzi L. (2021). Management information system adoption at the farm level: evidence from the literature. BRITISH FOOD JOURNAL, 123(3), 884-909 [10.1108/BFJ-05-2020-0420].
Giua C.; Materia V.C.; Camanzi L.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/806302
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