Combinatorial analysis of eco-innovation drivers in slaughterhouses
Palavras-chave:Eco-innovation, Drivers, Eco-innovation types, Qualitative comparative analysis
Purpose – Literature on eco-innovation brings insights that help to understand which factors trigger
innovation focused on sustainability in companies. However, when analyzing the studies that comprise such
drivers, it appears that most of them were focused only on describing them in isolation. Therefore, this study
aims to understand which are the combinations of drivers that favor the adoption of eco-innovation in
slaughterhouses located in the Brazilian state of Rio Grande do Sul.
Design/methodology/approach – This study has used the crisp-set qualitative comparative analysis
(csQCA) as the data analysis technique, in addition to the previous application of Most Similar Different
Outcome/Most Different Same Outcome (MSDO/MDSO).
Findings – This study identified eight internal and external drivers that explain the differences in
performance of eco-innovative and non-innovative slaughterhouses. These drivers generate 13 combinations
of factors capable of favoring the adoption of five types of eco-innovation.
Research limitations/implications – A limitation identified was the difficulty to obtain information
held by companies on environmental issues. In addition, in each company the authors only approached one
Practical implications – The use of combinations is identified by companies and governmental and nongovernmental organizations to promote eco-innovation in slaughterhouses.
Originality/value – This study may be considered original for its contribution to the improvement of ecoinnovation literature by describing how the drivers identified combine to favor the adoption of certain types of
eco-innovation. In addition, the authors also made an original use of csQCA, linked with MSDO/MDSO, in the
field of eco-innovation.
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