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A Process Reference Model and A Process Assessment Model to Foster R&D&I Management in Organizations: MGPDI

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Software Process Improvement and Capability Determination (SPICE 2017)

Abstract

A strategy to foster innovation in organizations consists of the adoption of a Research, Development and Innovation (R&D&I) management model. This paper describes the MGPDI model focused on Process Improvement & Assessment that is applicable to any organization independently of size, type and activity. This new model is based on: (i) requirements based on innovation best practices and Brazilian and Spanish Standards; (ii) the ISO/IEC 330xx family of standards for Process Assessment; (iii) lessons learned with the Brazilian model (MPS) for software process improvement. The MGPDI model has three components: a Process Reference Model (MR-MGPDI), a Process Assessment Model (MA-MGPDI), and a Business Model (MN-MGPDI). This paper also describes the validation of this model and its pilot implementation and assessment in three Brazilian companies. In addition to its relevance in Brazil, it has a high potential for replication in other countries.

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Notes

  1. 1.

    MGPDI™ (Modelo de Gestão da Pesquisa, Desenvolvimento e Inovação, in Portuguese) is a trademark registered at INPI <http://www.inpi.gov.br/english>, owned by SOFTSUL.

  2. 2.

    SOFTSUL <www.softsul.org.br> is a Brazilian private, non-profit organization created in 1994 aiming at the socio-economic development and the increase of the competitiveness of organizations ICT-intense, not only ICT companies. SOFTSUL has a Technology Development Center (CTEC) and has large experience in project coordination in the country and abroad, including Inter-American Development Bank (IDB) projects and the CONECTA 2020 project of the EU HORIZON 2020 Program.

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Correspondence to Kival Chaves Weber .

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Weber, K.C. et al. (2017). A Process Reference Model and A Process Assessment Model to Foster R&D&I Management in Organizations: MGPDI. In: Mas, A., Mesquida, A., O'Connor, R., Rout, T., Dorling, A. (eds) Software Process Improvement and Capability Determination. SPICE 2017. Communications in Computer and Information Science, vol 770. Springer, Cham. https://doi.org/10.1007/978-3-319-67383-7_26

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  • DOI: https://doi.org/10.1007/978-3-319-67383-7_26

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