Combinatorial analysis of eco-innovation drivers in slaughterhouses

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. Ther...

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Main Authors: Marcelo Fernandes Pacheco Dias, Juliany Souza Braga
Format: Article
Language:English
Published: Emerald Publishing 2022-12-01
Series:Innovation & Management Review
Subjects:
Online Access:https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf
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author Marcelo Fernandes Pacheco Dias
Juliany Souza Braga
author_facet Marcelo Fernandes Pacheco Dias
Juliany Souza Braga
author_sort Marcelo Fernandes Pacheco Dias
collection DOAJ
description 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 respondent. Practical implications – The use of combinations is identified by companies and governmental and non-governmental organizations to promote eco-innovation in slaughterhouses. Originality/value – This study may be considered original for its contribution to the improvement of eco-innovation 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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spelling doaj.art-51488c56bea74ababa852b8f886c22502023-07-03T09:02:26ZengEmerald PublishingInnovation & Management Review2515-89612022-12-0119430632110.1108/INMR-07-2020-0094Combinatorial analysis of eco-innovation drivers in slaughterhousesMarcelo Fernandes Pacheco Dias0Juliany Souza Braga1Departamento de Ciências Sociais Rurais, Universidade Federal de Pelotas, Pelotas, BrazilDepartamento de Ciências Sociais Rurais, Universidade Federal de Pelotas, Pelotas, BrazilPurpose – 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 respondent. Practical implications – The use of combinations is identified by companies and governmental and non-governmental organizations to promote eco-innovation in slaughterhouses. Originality/value – This study may be considered original for its contribution to the improvement of eco-innovation 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.https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdfEco-innovationDriversEco-innovation typesQualitative comparative analysisAnálise Qualitativa Comparativa.Direcionadores.
spellingShingle Marcelo Fernandes Pacheco Dias
Juliany Souza Braga
Combinatorial analysis of eco-innovation drivers in slaughterhouses
Innovation & Management Review
Eco-innovation
Drivers
Eco-innovation types
Qualitative comparative analysis
Análise Qualitativa Comparativa.
Direcionadores.
title Combinatorial analysis of eco-innovation drivers in slaughterhouses
title_full Combinatorial analysis of eco-innovation drivers in slaughterhouses
title_fullStr Combinatorial analysis of eco-innovation drivers in slaughterhouses
title_full_unstemmed Combinatorial analysis of eco-innovation drivers in slaughterhouses
title_short Combinatorial analysis of eco-innovation drivers in slaughterhouses
title_sort combinatorial analysis of eco innovation drivers in slaughterhouses
topic Eco-innovation
Drivers
Eco-innovation types
Qualitative comparative analysis
Análise Qualitativa Comparativa.
Direcionadores.
url https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf
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