Innovation Value Chain Performance Based in Knowledge
Selma Regina Martins Oliveira, S.R.M. Oliveira, Roberto Sbragia, R. Sbragia

Abstract
The present paper aims to contribute to the planning guidelines in the innovation value chain management field. Therefore, it addresses the influence of the stakeholders’ knowledge on the performance of innovation value chain in product development processes applied to technology-based companies under uncertainty and constraint conditions. Thus, a survey was developed with experts chosen by their technical-scientific criteria and knowledge on the subject. The data were extracted by means of a judgment matrix. To reduce subjectivity in the results, the following methods were used: Law of Categorical Judgment - psychometric scaling (Thurstone, 1927) and Artificial Neural Networking (ANN), Multivariate Analysis statistical methods and method Compromise Programming, Electre III and Promethee II - multi-criteria analysis. The results produced are satisfactory, validating the proposed procedure for Value Chain Management (VCM).

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