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

Author:

Pompilio Giulia Giacomello1,Sigahi Tiago F. A. C.1ORCID,Rampasso Izabela Simon2ORCID,Moraes Gustavo Hermínio Salati Marcondes de34ORCID,Ávila Lucas Veiga5ORCID,Leal Filho Walter67ORCID,Anholon Rosley1ORCID

Affiliation:

1. School of Mechanical Engineering, State University of Campinas, Campinas 13083-970, Brazil

2. Departamento de Ingeniería Industrial, Universidad Católica del Norte, Antofagasta 1240000, Chile

3. School of Applied Science, State University of Campinas, Limeira 13484-350, Brazil

4. School of Management Sciences, North-West University, Vanderbijlpark 1900, South Africa

5. Center for Social Sciences and Humanities, Federal University of Santa Maria, Santa Maria 97105-900, Brazil

6. Faculty of Life Sciences, Hamburg University of Applied Sciences, 20099 Hamburg, Germany

7. School of Science and the Environment, Manchester Metropolitan University, Manchester M15 6BH, UK

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.

Funder

National Council for Scientific and Technological Development

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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