Reverse Knowledge Transfer Barriers and Innovation Value Chain Performance in the New Product Development under Uncertainty and Unpredictability
Selma Regina Martins Oliveira, Marli Terezinha Vieira

Abstract
The present paper aims to contribute to the planning policy in knowledge transfer in Multinationals Enterprises. To achieve that, it presents a multi-model proposal to assess the effects of knowledge transfer process barriers on the innovation value chain performance in product development process (PDP) under uncertainty and unpredictability, according to the following phases: Phase 1: Modeling to assess the performance of knowledge transfer barriers in relation to the overall knowledge in innovation value chain (Multinationals Companies); Step 1: Identification of knowledge; Step 2: Identification of knowledge transfer barriers; and Step 3: Evaluation of the performance of knowledge transfer barriers in relation to the overall knowledge in innovation value chain in PDP - Multinationals Companies. And Phase 2: Modeling of the Optimal Efficiency Rate effective of Reverse knowledge transfer of innovation value chain (Multinationals Companies). The research focus was developed based on the literature and involved the intervention of experts on the study subject, which were selected using technical-scientific criteria. The data were collected through an assessment matrix, which the experts used to issue their opinions on all variables. To reduce subjectivity in the results, the following methods were used: Law of Categorical Judgment - psychometric scaling (Thurstone, 1927); Compromise Programming, Electre III and Promethee II - multi-criteria analysis; and Neurofuzzy Technology. The mains results obtained demonstrated that.

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