Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/79657
Título: Understanding the determinants of evaluation, adoption and routinisation of ERP technology (Enterprise Resource Planning) in the context of agricultural farms
Autor: Haberli Junior, Caetano
Orientador: Oliveira, Tiago André Gonçalves Félix de
Yanaze, Mitsuru Higuchi
Palavras-chave: Enterprise resources planning
Use of ERP technology. Management models. Agribusiness
Resource-based view on farm
Organizational impacts of ERP
Competitive advantage
Farms
Business analytics functionality
Industry 4.0.
Data de Defesa: 2-Jul-2019
Resumo: The purpose of this thesis is to investigate the determinants of the adoption of ERP (Enterprise Resource Planning) technology in agricultural farms in Brazil. The data were collected in 502 personal interviews with farmers of soy, corn, cotton, coffee, beans, wheat, peanuts, fruits, sugarcane and cattle raising, The data gathering instrument used for the quantitative research was built based on the result of the qualitative study in combination with three theories: Diffusion of Innovation Theory (DOI), Technology-Organization-Environment Framework (TOE), and Interorganizational Relations (IORs). Structural Equations (SEM) methodology was used to analyze the data and hypothesis. The results indicate the significant drivers for Evaluation, Adoption, and Routinisation. Also, we analyzed the ERP impact on farm performance based on resource-based view (RBV). 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 results this thesis provide information to agribusiness owners, managers and administrators to promote and incentivize the use of ERP.
Descrição: A thesis submitted in partial fulfillment of the requirements for the degree of Doctor in Information Management, specialization in Information and Decision Systems
URI: http://hdl.handle.net/10362/79657
Designação: Doutoramento em Gestão da Informação, especialização em Sistemas de Informação e Decisão
Aparece nas colecções:NIMS - Teses de Doutoramento (Doctoral Theses)

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