Identification of constituents and evaluation of innovative potential of region
Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with...
Ausführliche Beschreibung
Autor*in: |
Марина Юріївна Глізнуца [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch ; Russisch ; Ukrainisch |
Erschienen: |
2016 |
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Schlagwörter: |
evaluation of innovative potential |
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Übergeordnetes Werk: |
In: Tehnologìčnij Audit ta Rezervi Virobnictva - PC Technology Center, 2013, 3(2016), 5(29), Seite 11-14 |
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Übergeordnetes Werk: |
volume:3 ; year:2016 ; number:5(29) ; pages:11-14 |
Links: |
Link aufrufen |
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DOI / URN: |
10.15587/2312-8372.2016.72541 |
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Katalog-ID: |
DOAJ046610669 |
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10.15587/2312-8372.2016.72541 doi (DE-627)DOAJ046610669 (DE-599)DOAJ99fb3f51c94540d28a48ba7a58eb220a DE-627 ger DE-627 rakwb eng rus ukr T1-995 HF5001-6182 Марина Юріївна Глізнуца verfasserin aut Identification of constituents and evaluation of innovative potential of region 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. innovative potential evaluation of innovative potential evaluation model scientific and technical potential intellectual capital region Technology (General) Business In Tehnologìčnij Audit ta Rezervi Virobnictva PC Technology Center, 2013 3(2016), 5(29), Seite 11-14 (DE-627)167804587X 23128372 nnns volume:3 year:2016 number:5(29) pages:11-14 https://doi.org/10.15587/2312-8372.2016.72541 kostenfrei https://doaj.org/article/99fb3f51c94540d28a48ba7a58eb220a kostenfrei http://journals.uran.ua/tarp/article/view/72541 kostenfrei https://doaj.org/toc/2226-3780 Journal toc kostenfrei https://doaj.org/toc/2312-8372 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 5(29) 11-14 |
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10.15587/2312-8372.2016.72541 doi (DE-627)DOAJ046610669 (DE-599)DOAJ99fb3f51c94540d28a48ba7a58eb220a DE-627 ger DE-627 rakwb eng rus ukr T1-995 HF5001-6182 Марина Юріївна Глізнуца verfasserin aut Identification of constituents and evaluation of innovative potential of region 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. innovative potential evaluation of innovative potential evaluation model scientific and technical potential intellectual capital region Technology (General) Business In Tehnologìčnij Audit ta Rezervi Virobnictva PC Technology Center, 2013 3(2016), 5(29), Seite 11-14 (DE-627)167804587X 23128372 nnns volume:3 year:2016 number:5(29) pages:11-14 https://doi.org/10.15587/2312-8372.2016.72541 kostenfrei https://doaj.org/article/99fb3f51c94540d28a48ba7a58eb220a kostenfrei http://journals.uran.ua/tarp/article/view/72541 kostenfrei https://doaj.org/toc/2226-3780 Journal toc kostenfrei https://doaj.org/toc/2312-8372 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 5(29) 11-14 |
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10.15587/2312-8372.2016.72541 doi (DE-627)DOAJ046610669 (DE-599)DOAJ99fb3f51c94540d28a48ba7a58eb220a DE-627 ger DE-627 rakwb eng rus ukr T1-995 HF5001-6182 Марина Юріївна Глізнуца verfasserin aut Identification of constituents and evaluation of innovative potential of region 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. innovative potential evaluation of innovative potential evaluation model scientific and technical potential intellectual capital region Technology (General) Business In Tehnologìčnij Audit ta Rezervi Virobnictva PC Technology Center, 2013 3(2016), 5(29), Seite 11-14 (DE-627)167804587X 23128372 nnns volume:3 year:2016 number:5(29) pages:11-14 https://doi.org/10.15587/2312-8372.2016.72541 kostenfrei https://doaj.org/article/99fb3f51c94540d28a48ba7a58eb220a kostenfrei http://journals.uran.ua/tarp/article/view/72541 kostenfrei https://doaj.org/toc/2226-3780 Journal toc kostenfrei https://doaj.org/toc/2312-8372 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 5(29) 11-14 |
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10.15587/2312-8372.2016.72541 doi (DE-627)DOAJ046610669 (DE-599)DOAJ99fb3f51c94540d28a48ba7a58eb220a DE-627 ger DE-627 rakwb eng rus ukr T1-995 HF5001-6182 Марина Юріївна Глізнуца verfasserin aut Identification of constituents and evaluation of innovative potential of region 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. innovative potential evaluation of innovative potential evaluation model scientific and technical potential intellectual capital region Technology (General) Business In Tehnologìčnij Audit ta Rezervi Virobnictva PC Technology Center, 2013 3(2016), 5(29), Seite 11-14 (DE-627)167804587X 23128372 nnns volume:3 year:2016 number:5(29) pages:11-14 https://doi.org/10.15587/2312-8372.2016.72541 kostenfrei https://doaj.org/article/99fb3f51c94540d28a48ba7a58eb220a kostenfrei http://journals.uran.ua/tarp/article/view/72541 kostenfrei https://doaj.org/toc/2226-3780 Journal toc kostenfrei https://doaj.org/toc/2312-8372 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 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_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 3 2016 5(29) 11-14 |
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Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. |
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Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. |
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Approaches to the evaluation of the condition and use of innovative potential in regions of Ukraine are considered in the article. Statistical data is proved. Data information base of the study were formed on the basis of this data. The system of indicators for comparative evaluation of regions with each other was formed. This system allows more thoroughly identify the extent of unused resources in innovative development. The model and algorithm of forming group parameters and their combination in the general index of evaluation potential for regions are proposed. The calculations of rank level for regions are done. The placement of regions in rank order based on the impact of each of the four groups of indicators is done. Based on the proposed approach in this article, it is possible to estimate the extent of non-innovative potential of regions for each component that allows increasing the effectiveness of innovative development of the region and making more informed decisions in the field of regulatory innovative policy. |
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