Bayesian modelling of number of ISO 9001 issued in Brazilian territory : a regional and state level analysis
Gespeichert in:
| Autor*in: |
Ribeiro, Luiz Henrique Marra da Silva [verfasserIn] Beijo, Luiz Alberto [verfasserIn] Salgado, Eduardo Gomes [verfasserIn] Nogueira, Denismar Alves [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Total quality management & business excellence - Abingdon : Routledge, Taylor & Francis Group, 2003, 33(2022), 10, Seite 1183-1212 |
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| Übergeordnetes Werk: |
volume:33 ; year:2022 ; number:10 ; pages:1183-1212 |
| Links: |
|---|
| DOI / URN: |
10.1080/14783363.2021.1944083 |
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| Katalog-ID: |
181576516X |
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| 982 | |2 26 |1 00 |x DE-206 |b ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels. | ||
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10.1080/14783363.2021.1944083 doi (DE-627)181576516X (DE-599)KXP181576516X DE-627 ger DE-627 rda eng Ribeiro, Luiz Henrique Marra da Silva verfasserin (DE-588)1226694373 (DE-627)1747730696 aut Bayesian modelling of number of ISO 9001 issued in Brazilian territory a regional and state level analysis Luiz Henrique Marra da Silva Ribeiro, Luiz Alberto Beijo, Eduardo Gomes Salgado and Denismar Alves Nogueira 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bayesian regression models (dpeaa)DE-206 business environment indicator (dpeaa)DE-206 correlation analysis (dpeaa)DE-206 macroeconomic indicators (dpeaa)DE-206 quality management system (dpeaa)DE-206 Beijo, Luiz Alberto verfasserin aut Salgado, Eduardo Gomes verfasserin (DE-588)1051583861 (DE-627)786422068 (DE-576)406871450 aut Nogueira, Denismar Alves verfasserin (DE-588)1240249586 (DE-627)1768107343 aut Enthalten in Total quality management & business excellence Abingdon : Routledge, Taylor & Francis Group, 2003 33(2022), 10, Seite 1183-1212 Online-Ressource (DE-627)375964649 (DE-600)2129076-3 (DE-576)273900544 1478-3371 nnns volume:33 year:2022 number:10 pages:1183-1212 https://www.tandfonline.com/doi/pdf/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig https://doi.org/10.1080/14783363.2021.1944083 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4393 GBV_ILN_4700 AR 33 2022 10 1183-1212 26 01 0206 4184647057 x1z 05-09-22 26 00 DE-206 ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels. |
| spelling |
10.1080/14783363.2021.1944083 doi (DE-627)181576516X (DE-599)KXP181576516X DE-627 ger DE-627 rda eng Ribeiro, Luiz Henrique Marra da Silva verfasserin (DE-588)1226694373 (DE-627)1747730696 aut Bayesian modelling of number of ISO 9001 issued in Brazilian territory a regional and state level analysis Luiz Henrique Marra da Silva Ribeiro, Luiz Alberto Beijo, Eduardo Gomes Salgado and Denismar Alves Nogueira 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bayesian regression models (dpeaa)DE-206 business environment indicator (dpeaa)DE-206 correlation analysis (dpeaa)DE-206 macroeconomic indicators (dpeaa)DE-206 quality management system (dpeaa)DE-206 Beijo, Luiz Alberto verfasserin aut Salgado, Eduardo Gomes verfasserin (DE-588)1051583861 (DE-627)786422068 (DE-576)406871450 aut Nogueira, Denismar Alves verfasserin (DE-588)1240249586 (DE-627)1768107343 aut Enthalten in Total quality management & business excellence Abingdon : Routledge, Taylor & Francis Group, 2003 33(2022), 10, Seite 1183-1212 Online-Ressource (DE-627)375964649 (DE-600)2129076-3 (DE-576)273900544 1478-3371 nnns volume:33 year:2022 number:10 pages:1183-1212 https://www.tandfonline.com/doi/pdf/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig https://doi.org/10.1080/14783363.2021.1944083 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4393 GBV_ILN_4700 AR 33 2022 10 1183-1212 26 01 0206 4184647057 x1z 05-09-22 26 00 DE-206 ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels. |
| allfields_unstemmed |
10.1080/14783363.2021.1944083 doi (DE-627)181576516X (DE-599)KXP181576516X DE-627 ger DE-627 rda eng Ribeiro, Luiz Henrique Marra da Silva verfasserin (DE-588)1226694373 (DE-627)1747730696 aut Bayesian modelling of number of ISO 9001 issued in Brazilian territory a regional and state level analysis Luiz Henrique Marra da Silva Ribeiro, Luiz Alberto Beijo, Eduardo Gomes Salgado and Denismar Alves Nogueira 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bayesian regression models (dpeaa)DE-206 business environment indicator (dpeaa)DE-206 correlation analysis (dpeaa)DE-206 macroeconomic indicators (dpeaa)DE-206 quality management system (dpeaa)DE-206 Beijo, Luiz Alberto verfasserin aut Salgado, Eduardo Gomes verfasserin (DE-588)1051583861 (DE-627)786422068 (DE-576)406871450 aut Nogueira, Denismar Alves verfasserin (DE-588)1240249586 (DE-627)1768107343 aut Enthalten in Total quality management & business excellence Abingdon : Routledge, Taylor & Francis Group, 2003 33(2022), 10, Seite 1183-1212 Online-Ressource (DE-627)375964649 (DE-600)2129076-3 (DE-576)273900544 1478-3371 nnns volume:33 year:2022 number:10 pages:1183-1212 https://www.tandfonline.com/doi/pdf/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig https://doi.org/10.1080/14783363.2021.1944083 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4393 GBV_ILN_4700 AR 33 2022 10 1183-1212 26 01 0206 4184647057 x1z 05-09-22 26 00 DE-206 ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels. |
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10.1080/14783363.2021.1944083 doi (DE-627)181576516X (DE-599)KXP181576516X DE-627 ger DE-627 rda eng Ribeiro, Luiz Henrique Marra da Silva verfasserin (DE-588)1226694373 (DE-627)1747730696 aut Bayesian modelling of number of ISO 9001 issued in Brazilian territory a regional and state level analysis Luiz Henrique Marra da Silva Ribeiro, Luiz Alberto Beijo, Eduardo Gomes Salgado and Denismar Alves Nogueira 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bayesian regression models (dpeaa)DE-206 business environment indicator (dpeaa)DE-206 correlation analysis (dpeaa)DE-206 macroeconomic indicators (dpeaa)DE-206 quality management system (dpeaa)DE-206 Beijo, Luiz Alberto verfasserin aut Salgado, Eduardo Gomes verfasserin (DE-588)1051583861 (DE-627)786422068 (DE-576)406871450 aut Nogueira, Denismar Alves verfasserin (DE-588)1240249586 (DE-627)1768107343 aut Enthalten in Total quality management & business excellence Abingdon : Routledge, Taylor & Francis Group, 2003 33(2022), 10, Seite 1183-1212 Online-Ressource (DE-627)375964649 (DE-600)2129076-3 (DE-576)273900544 1478-3371 nnns volume:33 year:2022 number:10 pages:1183-1212 https://www.tandfonline.com/doi/pdf/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig https://doi.org/10.1080/14783363.2021.1944083 Resolving-System lizenzpflichtig https://www.tandfonline.com/doi/epub/10.1080/14783363.2021.1944083 Verlag lizenzpflichtig GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_110 GBV_ILN_120 GBV_ILN_151 GBV_ILN_152 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 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_4393 GBV_ILN_4700 AR 33 2022 10 1183-1212 26 01 0206 4184647057 x1z 05-09-22 26 00 DE-206 ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels. |
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Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels.</subfield></datafield></record></collection>
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26 00 DE-206 ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels Bayesian modelling of number of ISO 9001 issued in Brazilian territory a regional and state level analysis Luiz Henrique Marra da Silva Ribeiro, Luiz Alberto Beijo, Eduardo Gomes Salgado and Denismar Alves Nogueira Bayesian regression models (dpeaa)DE-206 business environment indicator (dpeaa)DE-206 correlation analysis (dpeaa)DE-206 macroeconomic indicators (dpeaa)DE-206 quality management system (dpeaa)DE-206 |
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Routledge, Taylor & Francis Group, 2003</subfield><subfield code="g">33(2022), 10, Seite 1183-1212</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)375964649</subfield><subfield code="w">(DE-600)2129076-3</subfield><subfield code="w">(DE-576)273900544</subfield><subfield code="x">1478-3371</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:33</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:10</subfield><subfield code="g">pages:1183-1212</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.tandfonline.com/doi/pdf/10.1080/14783363.2021.1944083</subfield><subfield code="x">Verlag</subfield><subfield code="z">lizenzpflichtig</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1080/14783363.2021.1944083</subfield><subfield code="x">Resolving-System</subfield><subfield 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ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</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_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">33</subfield><subfield code="j">2022</subfield><subfield code="e">10</subfield><subfield code="h">1183-1212</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">4184647057</subfield><subfield code="y">x1z</subfield><subfield code="z">05-09-22</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">ISO 9001 is a certifiable international standard issued by ISO (International Organisation for Standardisation). Several benefits related to employees, companies, and the business environment are correlated to this standard. The Bayesian statistic can be used to fit regression models to data, presenting some advantages. The objective of this study is to verify, through Bayesian regression models, the relationship between the numbers of ISO 9001 certificates issued in Brazilian states and the macroeconomic factors. Furthermore, this study also aims to compare the relationships in the states with the relationships in the region of each state. The estimated model parameters indicate a significant relationship between some macroeconomic factors and the number of ISO 9001 certificates for the Brazilian state. Hence, considering the macroeconomic factors as indicators of specifics of the state economy, the local relationship between these aspects and the business environment, indicated in part by the number of ISO 9001 certificates, can be better understood. The most economically important states influence substantially the relationships of their regions. The main novelty of this paper is the analysis of the relationship between the Brazilian macroeconomic factors and the number of ISO 9001 certificates issued at state and regional levels.</subfield></datafield></record></collection>
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7.399227 |