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  • 标题:A theoretical framework on network's dynamics for precision agriculture technologies adoption
  • 本地全文:下载
  • 作者:Deborah Bentivoglio ; Giorgia Bucci ; Matteo Belletti
  • 期刊名称:Revista de Economia e Sociologia Rural
  • 印刷版ISSN:0103-2003
  • 电子版ISSN:1806-9479
  • 出版年度:2022
  • 卷号:60
  • 期号:4
  • 页码:1-21
  • DOI:10.1590/1806-9479.2021.245721
  • 语种:English
  • 出版社:Sociedade Brasileira de Economia e Sociologia Rural
  • 摘要: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.
  • 关键词:precision agriculture;technology adoption;networks;qualitative research;theoretical framework
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