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- Title
Innovation in Brazilian Industries: Analysis of Management Practices Using Fuzzy TOPSIS.
- Authors
Pompilio, Giulia Giacomello; Sigahi, Tiago F. A. C.; Rampasso, Izabela Simon; Moraes, Gustavo Hermínio Salati Marcondes de; Ávila, Lucas Veiga; Leal Filho, Walter; Anholon, Rosley
- 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.
- Subjects
TOPSIS method; TECHNOLOGICAL innovations; MULTIPLE criteria decision making; HIERARCHICAL clustering (Cluster analysis); CLUSTER analysis (Statistics)
- Publication
Mathematics (2227-7390), 2023, Vol 11, Issue 6, p1313
- ISSN
2227-7390
- Publication type
Article
- DOI
10.3390/math11061313