The adoption stages (Evaluation, Adoption, and Routinisation) of ERP systems with business analytics functionality in the context of farms

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34 Citations (Scopus)


Agriculture is a complex industry based on science. Agriculture relies on systems of climate-standard analysis: solar energy, heat, moist and systems for the area of field operation patterns: soil chemical composition, plant nutrition, genetic improvement, pest and disease control, harvesting. We believe that the new paradigm to increase efficiency in this segment goes through the adoption of enterprise resource planning (ERP) systems. Our empirical study is about the use and diffusion of ERP systems in a view of interoperability between different software packages with a view on business analysis functionality when taking a step further in farm management information system (FMIS). We hope this work can bring a theoretical and practical contribution for the agribusiness field and also increase debates about the platforms on cloud computer based on ERP, Enterprise 2.0 and Industry 4.0. The research presented in this study was carried out with 375 farmers in Brazil. The data gathering instrument used for the quantitative research was built based on the result of the qualitative (in-depth) study in combination with three theories: Diffusion of Innovation Theory (DOE), Technology-Organization-Environment Framework (TOE), and Inter-organizational Relations (IOR). The construct information sharing (IS) taken from IOR was applied to perform a moderator role on the measurement of ERP adoption stages. The results indicate the significant drivers for evaluation, adoption, and routinisation. Also, as a result, it was found that Information Sharing influence the relationship between evaluation and adoption positively. Moreover, the theoretical and managerial implications of the research results are also debated in the paper.

Original languageEnglish
Pages (from-to)334-348
Number of pages15
JournalComputers And Electronics In Agriculture
Publication statusPublished - 1 Jan 2019


  • Business analytics functionality
  • ERP systems
  • Farms
  • FMIS
  • Industry 4.0


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