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...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dias, Marcelo Fernandes Pacheco [verfasserIn] Braga, Juliany Souza [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	Análise Qualitativa Comparativa. Direcionadores. Drivers Eco-innovation Eco-innovation types Ecoinovação Qualitative comparative analysis Tipos de ecoinovação

Übergeordnetes Werk:	Enthalten in: Innovation & management review - Bingley : Emerald Publishing Limited, 2018, 19(2022), 4, Seite 306-321
Übergeordnetes Werk:	volume:19 ; year:2022 ; number:4 ; pages:306-321

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1108/INMR-07-2020-0094

Katalog-ID:	1850875812

Internformat


LEADER	01000naa a2200265 4500
001	1850875812
003	DE-627
005	20230623091753.0
007	cr uuu---uuuuu
008	230623s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1108/INMR-07-2020-0094 \|2 doi
035			\|a (DE-627)1850875812
035			\|a (DE-599)KXP1850875812
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a eng
100	1		\|a Dias, Marcelo Fernandes Pacheco \|e verfasserin \|0 (DE-588)1068730439 \|0 (DE-627)820609463 \|0 (DE-576)428122833 \|4 aut
245	1	0	\|a Combinatorial analysis of eco-innovation drivers in slaughterhouses \|c Marcelo Fernandes Pacheco Dias and Juliany Souza Braga
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
506	0		\|q DE-206 \|a Open Access \|e Controlled Vocabulary for Access Rights \|u http://purl.org/coar/access_right/c_abf2
520			\|a 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.
540			\|q DE-206 \|a Namensnennung 4.0 International \|f CC BY 4.0 \|2 cc \|u https://creativecommons.org/licenses/by/4.0/
650		4	\|a Análise Qualitativa Comparativa. \|7 (dpeaa)DE-206
650		4	\|a Direcionadores. \|7 (dpeaa)DE-206
650		4	\|a Drivers \|7 (dpeaa)DE-206
650		4	\|a Eco-innovation \|7 (dpeaa)DE-206
650		4	\|a Eco-innovation types \|7 (dpeaa)DE-206
650		4	\|a Ecoinovação \|7 (dpeaa)DE-206
650		4	\|a Qualitative comparative analysis \|7 (dpeaa)DE-206
650		4	\|a Tipos de ecoinovação \|7 (dpeaa)DE-206
700	1		\|a Braga, Juliany Souza \|e verfasserin \|0 (DE-588)1293640646 \|0 (DE-627)1850877009 \|4 aut
773	0	8	\|i Enthalten in \|t Innovation & management review \|d Bingley : Emerald Publishing Limited, 2018 \|g 19(2022), 4, Seite 306-321 \|h Online-Ressource \|w (DE-627)1043464530 \|w (DE-600)2953957-2 \|w (DE-576)515579599 \|x 2515-8961 \|7 nnns
773	1	8	\|g volume:19 \|g year:2022 \|g number:4 \|g pages:306-321
856	4	0	\|u https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses \|x Verlag \|z kostenfrei
856	4	0	\|u https://doi.org/10.1108/INMR-07-2020-0094 \|x Resolving-System \|z kostenfrei
912			\|a GBV_USEFLAG_U
912			\|a GBV_ILN_26
912			\|a ISIL_DE-206
912			\|a SYSFLAG_1
912			\|a GBV_KXP
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
912			\|a GBV_ILN_2403
912			\|a GBV_ILN_2403
912			\|a ISIL_DE-LFER
951			\|a AR
952			\|d 19 \|j 2022 \|e 4 \|h 306-321
980			\|2 26 \|1 01 \|x 0206 \|b 4342657058 \|y x1z \|z 23-06-23
980			\|2 2403 \|1 01 \|x DE-LFER \|b 4348079161 \|c 00 \|f --%%-- \|d --%%-- \|e n \|j --%%-- \|y l01 \|z 04-07-23
981			\|2 2403 \|1 01 \|x DE-LFER \|r https://doi.org/10.1108/INMR-07-2020-0094
981			\|2 2403 \|1 01 \|x DE-LFER \|r https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses

Indexfelder

author_variant	m f p d mfp mfpd j s b js jsb
matchkey_str	article:25158961:2022----::obntraaayioeonoainrvri
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1108/INMR-07-2020-0094 doi (DE-627)1850875812 (DE-599)KXP1850875812 DE-627 ger DE-627 rda eng Dias, Marcelo Fernandes Pacheco verfasserin (DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 aut Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206 Braga, Juliany Souza verfasserin (DE-588)1293640646 (DE-627)1850877009 aut Enthalten in Innovation & management review Bingley : Emerald Publishing Limited, 2018 19(2022), 4, Seite 306-321 Online-Ressource (DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599 2515-8961 nnns volume:19 year:2022 number:4 pages:306-321 https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses Verlag kostenfrei https://doi.org/10.1108/INMR-07-2020-0094 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 19 2022 4 306-321 26 01 0206 4342657058 x1z 23-06-23 2403 01 DE-LFER 4348079161 00 --%%-- --%%-- n --%%-- l01 04-07-23 2403 01 DE-LFER https://doi.org/10.1108/INMR-07-2020-0094 2403 01 DE-LFER https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses
spelling	10.1108/INMR-07-2020-0094 doi (DE-627)1850875812 (DE-599)KXP1850875812 DE-627 ger DE-627 rda eng Dias, Marcelo Fernandes Pacheco verfasserin (DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 aut Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206 Braga, Juliany Souza verfasserin (DE-588)1293640646 (DE-627)1850877009 aut Enthalten in Innovation & management review Bingley : Emerald Publishing Limited, 2018 19(2022), 4, Seite 306-321 Online-Ressource (DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599 2515-8961 nnns volume:19 year:2022 number:4 pages:306-321 https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses Verlag kostenfrei https://doi.org/10.1108/INMR-07-2020-0094 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 19 2022 4 306-321 26 01 0206 4342657058 x1z 23-06-23 2403 01 DE-LFER 4348079161 00 --%%-- --%%-- n --%%-- l01 04-07-23 2403 01 DE-LFER https://doi.org/10.1108/INMR-07-2020-0094 2403 01 DE-LFER https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses
allfields_unstemmed	10.1108/INMR-07-2020-0094 doi (DE-627)1850875812 (DE-599)KXP1850875812 DE-627 ger DE-627 rda eng Dias, Marcelo Fernandes Pacheco verfasserin (DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 aut Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206 Braga, Juliany Souza verfasserin (DE-588)1293640646 (DE-627)1850877009 aut Enthalten in Innovation & management review Bingley : Emerald Publishing Limited, 2018 19(2022), 4, Seite 306-321 Online-Ressource (DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599 2515-8961 nnns volume:19 year:2022 number:4 pages:306-321 https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses Verlag kostenfrei https://doi.org/10.1108/INMR-07-2020-0094 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 19 2022 4 306-321 26 01 0206 4342657058 x1z 23-06-23 2403 01 DE-LFER 4348079161 00 --%%-- --%%-- n --%%-- l01 04-07-23 2403 01 DE-LFER https://doi.org/10.1108/INMR-07-2020-0094 2403 01 DE-LFER https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses
allfieldsGer	10.1108/INMR-07-2020-0094 doi (DE-627)1850875812 (DE-599)KXP1850875812 DE-627 ger DE-627 rda eng Dias, Marcelo Fernandes Pacheco verfasserin (DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 aut Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206 Braga, Juliany Souza verfasserin (DE-588)1293640646 (DE-627)1850877009 aut Enthalten in Innovation & management review Bingley : Emerald Publishing Limited, 2018 19(2022), 4, Seite 306-321 Online-Ressource (DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599 2515-8961 nnns volume:19 year:2022 number:4 pages:306-321 https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses Verlag kostenfrei https://doi.org/10.1108/INMR-07-2020-0094 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 19 2022 4 306-321 26 01 0206 4342657058 x1z 23-06-23 2403 01 DE-LFER 4348079161 00 --%%-- --%%-- n --%%-- l01 04-07-23 2403 01 DE-LFER https://doi.org/10.1108/INMR-07-2020-0094 2403 01 DE-LFER https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses
allfieldsSound	10.1108/INMR-07-2020-0094 doi (DE-627)1850875812 (DE-599)KXP1850875812 DE-627 ger DE-627 rda eng Dias, Marcelo Fernandes Pacheco verfasserin (DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 aut Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 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. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206 Braga, Juliany Souza verfasserin (DE-588)1293640646 (DE-627)1850877009 aut Enthalten in Innovation & management review Bingley : Emerald Publishing Limited, 2018 19(2022), 4, Seite 306-321 Online-Ressource (DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599 2515-8961 nnns volume:19 year:2022 number:4 pages:306-321 https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses Verlag kostenfrei https://doi.org/10.1108/INMR-07-2020-0094 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 19 2022 4 306-321 26 01 0206 4342657058 x1z 23-06-23 2403 01 DE-LFER 4348079161 00 --%%-- --%%-- n --%%-- l01 04-07-23 2403 01 DE-LFER https://doi.org/10.1108/INMR-07-2020-0094 2403 01 DE-LFER https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses
language	English
source	Enthalten in Innovation & management review 19(2022), 4, Seite 306-321 volume:19 year:2022 number:4 pages:306-321
sourceStr	Enthalten in Innovation & management review 19(2022), 4, Seite 306-321 volume:19 year:2022 number:4 pages:306-321
format_phy_str_mv	Article
building	26:1 2403:0
institution	findex.gbv.de
selectbib_iln_str_mv	26@1z 2403@01
topic_facet	Análise Qualitativa Comparativa. Direcionadores. Drivers Eco-innovation Eco-innovation types Ecoinovação Qualitative comparative analysis Tipos de ecoinovação
isfreeaccess_bool	true
container_title	Innovation & management review
authorswithroles_txt_mv	Dias, Marcelo Fernandes Pacheco @@aut@@ Braga, Juliany Souza @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	1043464530
id	1850875812
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a2200265 4500</leader><controlfield tag="001">1850875812</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623091753.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230623s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1108/INMR-07-2020-0094</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1850875812</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1850875812</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dias, Marcelo Fernandes Pacheco</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1068730439</subfield><subfield code="0">(DE-627)820609463</subfield><subfield code="0">(DE-576)428122833</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Combinatorial analysis of eco-innovation drivers in slaughterhouses</subfield><subfield code="c">Marcelo Fernandes Pacheco Dias and Juliany Souza Braga</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Open Access</subfield><subfield code="e">Controlled Vocabulary for Access Rights</subfield><subfield code="u">http://purl.org/coar/access_right/c_abf2</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Namensnennung 4.0 International</subfield><subfield code="f">CC BY 4.0</subfield><subfield code="2">cc</subfield><subfield code="u">https://creativecommons.org/licenses/by/4.0/</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Análise Qualitativa Comparativa.</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Direcionadores.</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Drivers</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Eco-innovation</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Eco-innovation types</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecoinovação</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Qualitative comparative analysis</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tipos de ecoinovação</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Braga, Juliany Souza</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1293640646</subfield><subfield code="0">(DE-627)1850877009</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Innovation & management review</subfield><subfield code="d">Bingley : Emerald Publishing Limited, 2018</subfield><subfield code="g">19(2022), 4, Seite 306-321</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)1043464530</subfield><subfield code="w">(DE-600)2953957-2</subfield><subfield code="w">(DE-576)515579599</subfield><subfield code="x">2515-8961</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:19</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:306-321</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1108/INMR-07-2020-0094</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">19</subfield><subfield code="j">2022</subfield><subfield code="e">4</subfield><subfield code="h">306-321</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4342657058</subfield><subfield code="y">x1z</subfield><subfield code="z">23-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">4348079161</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">04-07-23</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://doi.org/10.1108/INMR-07-2020-0094</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses</subfield></datafield></record></collection>
standort_str_mv	--%%--
standort_iln_str_mv	2403:--%%-- DE-LFER:--%%--
author	Dias, Marcelo Fernandes Pacheco
spellingShingle	Dias, Marcelo Fernandes Pacheco misc Análise Qualitativa Comparativa. misc Direcionadores. misc Drivers misc Eco-innovation misc Eco-innovation types misc Ecoinovação misc Qualitative comparative analysis misc Tipos de ecoinovação Combinatorial analysis of eco-innovation drivers in slaughterhouses
authorStr	Dias, Marcelo Fernandes Pacheco
ppnlink_with_tag_str_mv	@@773@@(DE-627)1043464530
format	electronic Article
delete_txt_mv	keep
author_role	aut aut
typewithnormlink_str_mv	Person@(DE-588)1068730439 DifferentiatedPerson@(DE-588)1068730439 Person@(DE-588)1293640646 DifferentiatedPerson@(DE-588)1293640646
collection	KXP GVK SWB
remote_str	true
last_changed_iln_str_mv	26@23-06-23 2403@04-07-23
illustrated	Not Illustrated
issn	2515-8961
topic_title	Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga Análise Qualitativa Comparativa. (dpeaa)DE-206 Direcionadores. (dpeaa)DE-206 Drivers (dpeaa)DE-206 Eco-innovation (dpeaa)DE-206 Eco-innovation types (dpeaa)DE-206 Ecoinovação (dpeaa)DE-206 Qualitative comparative analysis (dpeaa)DE-206 Tipos de ecoinovação (dpeaa)DE-206
topic	misc Análise Qualitativa Comparativa. misc Direcionadores. misc Drivers misc Eco-innovation misc Eco-innovation types misc Ecoinovação misc Qualitative comparative analysis misc Tipos de ecoinovação
topic_unstemmed	misc Análise Qualitativa Comparativa. misc Direcionadores. misc Drivers misc Eco-innovation misc Eco-innovation types misc Ecoinovação misc Qualitative comparative analysis misc Tipos de ecoinovação
topic_browse	misc Análise Qualitativa Comparativa. misc Direcionadores. misc Drivers misc Eco-innovation misc Eco-innovation types misc Ecoinovação misc Qualitative comparative analysis misc Tipos de ecoinovação
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
standort_txtP_mv	--%%--
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Innovation & management review
normlinkwithtype_str_mv	(DE-588)1068730439@Person (DE-588)1068730439@DifferentiatedPerson (DE-588)1293640646@Person (DE-588)1293640646@DifferentiatedPerson
hierarchy_parent_id	1043464530
signature	--%%--
signature_str_mv	--%%--
hierarchy_top_title	Innovation & management review
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)1043464530 (DE-600)2953957-2 (DE-576)515579599
normlinkwithrole_str_mv	(DE-588)1068730439@@aut@@ (DE-588)1293640646@@aut@@
title	Combinatorial analysis of eco-innovation drivers in slaughterhouses
ctrlnum	(DE-627)1850875812 (DE-599)KXP1850875812
title_full	Combinatorial analysis of eco-innovation drivers in slaughterhouses Marcelo Fernandes Pacheco Dias and Juliany Souza Braga
author_sort	Dias, Marcelo Fernandes Pacheco
journal	Innovation & management review
journalStr	Innovation & management review
callnumber-first-code	-
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
container_start_page	306
author_browse	Dias, Marcelo Fernandes Pacheco Braga, Juliany Souza
selectkey	26:x 2403:l
container_volume	19
format_se	Elektronische Aufsätze
author-letter	Dias, Marcelo Fernandes Pacheco
doi_str_mv	10.1108/INMR-07-2020-0094
normlink	1068730439 820609463 428122833 1293640646 1850877009
normlink_prefix_str_mv	(DE-588)1068730439 (DE-627)820609463 (DE-576)428122833 (DE-588)1293640646 (DE-627)1850877009
author2-role	verfasserin
title_sort	combinatorial analysis of eco-innovation drivers in slaughterhouses
title_auth	Combinatorial analysis of eco-innovation drivers in slaughterhouses
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
collection_details	GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 ISIL_DE-LFER
container_issue	4
title_short	Combinatorial analysis of eco-innovation drivers in slaughterhouses
url	https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses https://doi.org/10.1108/INMR-07-2020-0094
ausleihindikator_str_mv	26 2403:n
rolewithnormlink_str_mv	@@aut@@(DE-588)1068730439 @@aut@@(DE-588)1293640646
remote_bool	true
author2	Braga, Juliany Souza
author2Str	Braga, Juliany Souza
ppnlink	1043464530
GND_str_mv	Dias, M. F. P. Pacheco Dias, Marcelo Fernandes Fernandes Pacheco Dias, Marcelo Dias, Marcelo Fernandes Pacheco Souza Braga, Juliany Braga, Juliany Souza
GND_txt_mv	Dias, M. F. P. Pacheco Dias, Marcelo Fernandes Fernandes Pacheco Dias, Marcelo Dias, Marcelo Fernandes Pacheco Souza Braga, Juliany Braga, Juliany Souza
GND_txtF_mv	Dias, M. F. P. Pacheco Dias, Marcelo Fernandes Fernandes Pacheco Dias, Marcelo Dias, Marcelo Fernandes Pacheco Souza Braga, Juliany Braga, Juliany Souza
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1108/INMR-07-2020-0094
callnumber-a	--%%--
up_date	2024-07-04T14:25:29.549Z
_version_	1803658859171020800
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a2200265 4500</leader><controlfield tag="001">1850875812</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230623091753.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230623s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1108/INMR-07-2020-0094</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1850875812</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1850875812</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dias, Marcelo Fernandes Pacheco</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1068730439</subfield><subfield code="0">(DE-627)820609463</subfield><subfield code="0">(DE-576)428122833</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Combinatorial analysis of eco-innovation drivers in slaughterhouses</subfield><subfield code="c">Marcelo Fernandes Pacheco Dias and Juliany Souza Braga</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Open Access</subfield><subfield code="e">Controlled Vocabulary for Access Rights</subfield><subfield code="u">http://purl.org/coar/access_right/c_abf2</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Namensnennung 4.0 International</subfield><subfield code="f">CC BY 4.0</subfield><subfield code="2">cc</subfield><subfield code="u">https://creativecommons.org/licenses/by/4.0/</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Análise Qualitativa Comparativa.</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Direcionadores.</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Drivers</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Eco-innovation</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Eco-innovation types</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecoinovação</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Qualitative comparative analysis</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Tipos de ecoinovação</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Braga, Juliany Souza</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1293640646</subfield><subfield code="0">(DE-627)1850877009</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Innovation & management review</subfield><subfield code="d">Bingley : Emerald Publishing Limited, 2018</subfield><subfield code="g">19(2022), 4, Seite 306-321</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)1043464530</subfield><subfield code="w">(DE-600)2953957-2</subfield><subfield code="w">(DE-576)515579599</subfield><subfield code="x">2515-8961</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:19</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:306-321</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1108/INMR-07-2020-0094</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">19</subfield><subfield code="j">2022</subfield><subfield code="e">4</subfield><subfield code="h">306-321</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4342657058</subfield><subfield code="y">x1z</subfield><subfield code="z">23-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">4348079161</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">04-07-23</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://doi.org/10.1108/INMR-07-2020-0094</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://www.emerald.com/insight/content/doi/10.1108/INMR-07-2020-0094/full/pdf?title=combinatorial-analysis-of-eco-innovation-drivers-in-slaughterhouses</subfield></datafield></record></collection>
score	7.398695

Nicht das Richtige dabei?

Schreiben Sie uns!

Combinatorial analysis of eco-innovation drivers in slaughterhouses

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?