Sistemas ERP: a gestão do processo de implantação em universidade pública

• Ano de defesa: 2011
• Autor(a) principal: Dalla Vecchia, Aldiocir Francisco
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; BR; Engenharia de Produção; UFSM; Programa de Pós-Graduação em Engenharia de Produção
• Palavras-chave em Português: Sistemas ERP; Implantação de ERP em universidades públicas; Gestão de mudanças organizacionais em projetos de implantação de ERP; ERP; ERP implementation in public universities; Management of change in organizational through the implementation of ERP projects; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/8173

Public institutions, more specifically public universities, require considerable changes in management and administration. For this changes may be implemented, the incorporation of new technology and integrated systems is essential to support the proposed changes. The decision to modernize the processes must be aligned with the desire of the steering committee to provide a Project which facilitates the proposed improvements, besides being prepared to overcome all obstacles that will appear, proposing an unconditional support to face that the necessary changes being implemented, independent of the resistance and obstacles. The methodology proposed by this dissertation is based on the approach to management the organizational changes and in the methodologies of information system implementation. As a result, it s proposed a model to manage the implementation of Enterprise Resource Planning System (ERP) in public universities, having as a premise to provide mechanisms to manage the changes resulting from the implementation of ERP projects, which aim to increase the success of these projects and create indicators that can measure the gains obtained by the institution with the adoption of these systems. For each one of the 26 steps proposed in the model, are defined assumptions, resources, outputs and evidences of delivery.