Title: Modelling to assess the impact of technological innovation capacity in the performance of high complexity environments

Authors: Selma Regina Martins Oliveira; Roberto Sbragia

Addresses: Department of Business Administration, University of São Paulo, Av. Prof. Luciano Gualberto, 908 – City University, CEP 05508-010, São Paulo, Brazil ' Department of Business Administration, University of São Paulo, Av. Prof. Luciano Gualberto, 908 – City University, CEP 05508-010, São Paulo, Brazil

Abstract: Recently, studies have referenced innovation as a key factor affecting the performance of firms. Companies make use of its innovative capacities to achieve sustainable competitive advantage. The objective of this paper is to contribute to innovation planning policies in highly complex environments. Thus, a modelling proposal is presented to assess the impact of technological innovation capacity on the performance of high-tech companies in Brazil. This procedure was prepared according to the following phases: phase 1: determination of the conceptual model; phase 2: verification of the conceptual model. The research was initially conducted based on the specialised literature, which extracted the data regarding the constructs/structure and content in order to build the model. To demonstrate the modelling feasibility, it used a survey of high-tech companies in Brazil. 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, psychometric scaling and neurofuzzy technology. The data were extracted using an assessment matrix and the results were satisfactory, validating the modelling approach.

Keywords: modelling; performance evaluation; technological innovation capacity; high complexity environments; innovation planning; innovation policy; firm performance; high-tech firms; high technology; Brazil; conceptual models; multicriteria analysis; multivariate analysis; psychometric scaling; neurofuzzy technology; neural networks; fuzzy logic.

DOI: 10.1504/IJBPSCM.2015.068126

International Journal of Business Performance and Supply Chain Modelling, 2015 Vol.7 No.1, pp.12 - 35

Available online: 16 Mar 2015 *

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