Multi-Model Standard Reference for Strategies in Prospecting of Knowledge in Innovation Value Chain: Towards Product Development Process
Selma Regina Martins Oliveira, Jorge Lino Alves

Abstract
This work intends to contribute to the planning policy guidelines in the field of innovation value chain in the product development process. Thus, it develops a multi-model proposal to determine strategies in prospecting of knowledge that considers a sequence of systematic procedures in the following phases: 1) Mathematical modeling; and 2) verification of the mathematical model. This research treated Brazil’s high-tech industries as the empirical targets and the research work was done with the participation of experts with technical and scientific knowledge about the research object. Several support tools were used to formulate the modeling in order to reduce subjectivity in the results: psychometric scaling – Thurstone’s Law of Categorical Judgments (LCJ), Multicriteria Analysis-Compromise Programming, Electre III and Promethee II, and Neurofuzzy Technology. The mains results obtained demonstrated that.

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