Modeling to assess the influence of knowledge on the technological innovation performance capacity in high complexity environments: Towards Brazilian multinationals companies
Author(s) -
Regina Martins Oliveira Selma,
Lino Alves Jorge
Publication year - 2014
Publication title -
african journal of business management
Language(s) - English
Resource type - Journals
ISSN - 1993-8233
DOI - 10.5897/ajbm20134.7362
Subject(s) - absorptive capacity , knowledge management , conceptual model , business , computer science , database
The present paper aims to contribute to the knowledge and innovation planning guidelines in the high complexity environments. Thus, a modeling proposal is presented to assess the influence of knowledge on the technological innovation performance capacity of multinationals companies. This procedure was prepared according to the following phases: Phase 1: Determination of the conceptual model; and Phase 2: Verification of the conceptual model, systematized in the following steps: Step 1: Modeling the overall influence of knowledge on the technology innovation performance capacity of multinationals companies; Step 2: Determination of the correlation of the knowledge and multinationals companies’ technological innovation capacity; and Step 3: Modeling of the optimal efficiency rate of knowledge influence on the company’s technology innovation performance capacity. The research was conducted based on the specialized literature and a survey of brazilian multinationals companies. The research involved the intervention of experts knowledgeable on the object studied, selected by technical-scientific criteria. The data were extracted using an assessment matrix. To reduce subjectivity in the results achieved, the following methods were used complementarily and in combination: multicriteria analysis, multivariate analysis and neurofuzzy technology. The results were satisfactory, validating the modeling approach. Keywords: Modeling; Assessment; Influence of Knowledge; Technological Innovation Performance Capacity; High Complexity Environments; Brazilian multinationals companies.
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