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Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agri- food context: the case of the Midwest of Brazil

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  • Haberli, Caetano, Jr.
  • Oliveira, Tiago
  • Yanaze, Mitsuru
Abstract
The object of this study is to investigate the determinants of adoption of Enterprise Resource Planning (ERP) technology in agricultural farms located in the Central-West region of Brazil. The data was collected from 200 in-depth interviews with soy, corn and cotton farmers from the State of Mato Grosso, Brazil. Structural Equations methodology was used to analyze the data and hypothesis. The conceptual model was proposed by combining Diffusion of Innovations and Technology-Organization-Environment theories. The results provide information to agribusiness owners, managers and administrators to promote and incentivize the use of ERP. Politicians and farmers can evaluate each scenario and support their political and administrative decisions through the evaluation of socioeconomic and environmental performances of agricultural exploration as a result of technological innovation. This leads to a need for an analytical tool for the farmers, with the objective of supporting the adoption of optimized ERP for agri-food activities.

Suggested Citation

  • Haberli, Caetano, Jr. & Oliveira, Tiago & Yanaze, Mitsuru, 2017. "Understanding the determinants of adoption of enterprise resource planning (ERP) technology within the agri- food context: the case of the Midwest of Brazil," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 20(5).
    • Handle: RePEc:ags:ifaamr:266414
    DOI: 10.22004/ag.econ.266414
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    References listed on IDEAS

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    1. Ram, Jiwat & Corkindale, David & Wu, Ming-Lu, 2013. "Implementation critical success factors (CSFs) for ERP: Do they contribute to implementation success and post-implementation performance?," International Journal of Production Economics, Elsevier, vol. 144(1), pages 157-174.
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    6. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
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    8. Ruivo, Pedro & Oliveira, Tiago & Neto, Miguel, 2014. "Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs," International Journal of Accounting Information Systems, Elsevier, vol. 15(2), pages 166-184.
    9. Sarker, Rakhal & Ratnesena, Shashini, 2014. "Revealed Comparative Advantage and Half-A-Century Competitiveness of Canadian Agriculture: A Case Study of Wheat, Beef and Pork Sectors," Working Papers 165675, Canadian Agricultural Trade Policy Research Network.
    10. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
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    Cited by:

    1. Osrof, Hazem Yusuf & Tan, Cheng Ling & Angappa, Gunasekaran & Yeo, Sook Fern & Tan, Kim Hua, 2023. "Adoption of smart farming technologies in field operations: A systematic review and future research agenda," Technology in Society, Elsevier, vol. 75(C).

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