Innovation in Brazilian Industries: Analysis of Management Practices Using Fuzzy TOPSIS

Giulia Giacomello Pompilio, Tiago F. A. C. Sigahi (), Izabela Simon Rampasso, Gustavo Hermínio Salati Marcondes de Moraes, Lucas Veiga Ávila, Walter Leal Filho and Rosley Anholon
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Giulia Giacomello Pompilio: School of Mechanical Engineering, State University of Campinas, Campinas 13083-970, Brazil
Tiago F. A. C. Sigahi: School of Mechanical Engineering, State University of Campinas, Campinas 13083-970, Brazil
Izabela Simon Rampasso: Departamento de Ingeniería Industrial, Universidad Católica del Norte, Antofagasta 1240000, Chile
Gustavo Hermínio Salati Marcondes de Moraes: School of Applied Science, State University of Campinas, Limeira 13484-350, Brazil
Lucas Veiga Ávila: Center for Social Sciences and Humanities, Federal University of Santa Maria, Santa Maria 97105-900, Brazil
Walter Leal Filho: Faculty of Life Sciences, Hamburg University of Applied Sciences, 20099 Hamburg, Germany
Rosley Anholon: School of Mechanical Engineering, State University of Campinas, Campinas 13083-970, Brazil

Mathematics, 2023, vol. 11, issue 6, 1-19

Abstract: This study examined the practices of innovation management used by Brazilian industries. A survey was carried out with specialists that assessed 27 practices (PR) proposed by ISO 56002, considering two types of firms: small and medium-sized industries (SMI) and large industries (LI). The methodological approach included Hierarchical Cluster Analysis to identify the similarities between the specialists and define levels of specialists, as well as Fuzzy TOPSIS and frequency and sensitivity analyses to examine their responses. PR1 (analysis of internal and external issues that impact innovation management) was deemed the best practice for LIs, whereas PR10 (adequate assessment of potential partnerships) was best evaluated for SMIs. The PR27 (periodic audits to identify opportunities for improvement) received the lowest rating from both LIs and SMIs. In general, SMIs in the Brazilian context have more severe deficiencies in terms of applying innovation management practices than LIs. A broad overview of the innovation practices adopted in the Brazilian industrial scenario is provided. The study’s findings may assist managers and policymakers to develop initiatives and actions to improve the capacity of Brazilian industries to innovate. This research can also support future studies aimed at better understanding specific practices related to the topic.

Keywords: fuzzy sets in business management; multiple criteria decision making; mathematics applied to business; fuzzy TOPSIS; Hierarchical Cluster Analysis; innovation management; ISO 56002; Brazilian industries (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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