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Exploring innovation success recipes in low-technology firms using fuzzy-set QCA

  • Universidade Federal do Rio Grande do Sul
  • University of Tasmania
  • Maastricht University/CAPHRI

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

This study explores the configurations of innovation capabilities (“recipes”) that enable firms in low-technology industries (“low-tech firms”) to achieve high innovative performance. Using a sample of 614 Brazilian low-tech firms, the study employs fuzzy-set qualitative comparative analysis (QCA) to identify how the four capabilities – development, operations, management and transaction – combine to produce high innovative performance. The analyses identify two recipes for innovation success, both of which include high levels of development and transaction capabilities. However, these two capabilities (while necessary) are not sufficient for achieving high innovative performance: they are meaningful only when combined with either a management or an operations capability. The study contributes to a comprehensive understanding of innovation in low-tech industries by showing that low-tech firms, even with limited research and development capacities, can successfully innovate when they develop and use an appropriate set of capabilities. The study results should help managers uncover potential ways of combining capabilities for innovation success and suggest that low-tech firms could benefit from policy support and training to develop such capabilities.

Original languageEnglish
Pages (from-to)5437-5441
Number of pages5
JournalJournal of Business Research
Volume69
Issue number11
DOIs
Publication statusPublished - 1 Nov 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Fuzzy-set QCA
  • Innovation capabilities
  • Innovative performance
  • Low-tech firms

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