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A theoretical framework on network's dynamics for precision agriculture technologies adoption

Bibliographic Data

ID4010670
AuthorsDeborah Bentivoglio (0000-0002-9840-3056, Marche Polytechnic University), Gianpaolo Bucci (0000-0003-4660-3969, Marche Polytechnic University), Matteo Belletti (0000-0001-9407-0509, Marche Polytechnic University), Adele Finco (0000-0002-9859-901X, Marche Polytechnic University)
Year2022
Volume60
Issue4
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Economia e Sociologia Rural (JOURNAL)
Journal identifiersISSN: 0103-2003 • E-ISSN: 1806-9479
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1806-9479.2021.245721
OpenAlexW3198078946
SCIELO_PIDS0103-20032022000400212
LanguageEN
References cited93

Recently, the agricultural sector has had to face several challenges related to the innovation process, the most significant of which seems to be that of its digital transformation. As a consequence, the issue of digital technology adoption is becoming of important scientific interest due to its potential impact on products, services, processes, and new business models. In general, the adoption behavior can be indirectly explained by studying factors that lead a firm to innovate; among these factors, the literature emphasizes the function of networks. The objective of the paper is to investigate the role of networks as key drivers of precision agriculture technologies adoption. To achieve this goal, qualitative research was developed by using 8 case studies recollected among that few Italian farms which can be defined as innovative for having already experienced precision agriculture. Results show that only a few farms can develop and manage innovations internally; success often requires cooperation between individual actors and organizations. Finally, the paper provides some practical advice and a set of propositions for those farms that are trying to achieve digital technological innovations

Agribusiness · Agriculture · Business · Function (biology) · Industrial organization · Key (lock) · Knowledge management · Process (computing) · Set (abstract data type) · Technological change · Computer Science · Digitalization and Economic Development in Agriculture · Marketing

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