Conceptual model of big data technologies adoption in smart cities of the European Union
Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual m...
Ausführliche Beschreibung
Autor*in: |
Pivar, Jasmina [verfasserIn] |
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E-Artikel |
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Englisch |
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2020 |
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Rechteinformationen: |
Open Access Namensnennung - Keine Bearbeitungen 4.0 International ; CC BY-ND 4.0 |
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Übergeordnetes Werk: |
Enthalten in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) - ENTerprise REsearch InNOVAtion Conference, [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015, 6(2020), 1 vom: Sept., Seite 572-585 |
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Übergeordnetes Werk: |
volume:6 ; year:2020 ; number:1 ; month:09 ; pages:572-585 |
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1760390607 |
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10419/224723 hdl (DE-627)1760390607 (DE-599)KXP1760390607 DE-627 ger DE-627 rda eng O33 R00 jelc Pivar, Jasmina verfasserin aut Conceptual model of big data technologies adoption in smart cities of the European Union Jasmina Pivar 2020 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 Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. DE-206 Namensnennung - Keine Bearbeitungen 4.0 International CC BY-ND 4.0 cc https://creativecommons.org/licenses/by-nd/4.0/ smart city (dpeaa)DE-206 big data technologies (dpeaa)DE-206 adoption (dpeaa)DE-206 TOE framework (dpeaa)DE-206 Enthalten in ENTerprise REsearch InNOVAtion Conference Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015 6(2020), 1 vom: Sept., Seite 572-585 Online-Ressource (DE-627)1745911383 (DE-600)3051947-0 2706-4735 nnns volume:6 year:2020 number:1 month:09 pages:572-585 https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 Verlag kostenfrei https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511 Verlag kostenfrei http://hdl.handle.net/10419/224723 Resolving-System kostenfrei 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_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_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 6 2020 1 9 572-585 26 01 0206 3938084804 x1z 14-06-21 2403 01 DE-LFER 3945668263 00 --%%-- --%%-- n --%%-- l01 06-07-21 2403 01 DE-LFER https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 |
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10419/224723 hdl (DE-627)1760390607 (DE-599)KXP1760390607 DE-627 ger DE-627 rda eng O33 R00 jelc Pivar, Jasmina verfasserin aut Conceptual model of big data technologies adoption in smart cities of the European Union Jasmina Pivar 2020 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 Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. DE-206 Namensnennung - Keine Bearbeitungen 4.0 International CC BY-ND 4.0 cc https://creativecommons.org/licenses/by-nd/4.0/ smart city (dpeaa)DE-206 big data technologies (dpeaa)DE-206 adoption (dpeaa)DE-206 TOE framework (dpeaa)DE-206 Enthalten in ENTerprise REsearch InNOVAtion Conference Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015 6(2020), 1 vom: Sept., Seite 572-585 Online-Ressource (DE-627)1745911383 (DE-600)3051947-0 2706-4735 nnns volume:6 year:2020 number:1 month:09 pages:572-585 https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 Verlag kostenfrei https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511 Verlag kostenfrei http://hdl.handle.net/10419/224723 Resolving-System kostenfrei 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_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_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 6 2020 1 9 572-585 26 01 0206 3938084804 x1z 14-06-21 2403 01 DE-LFER 3945668263 00 --%%-- --%%-- n --%%-- l01 06-07-21 2403 01 DE-LFER https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 |
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10419/224723 hdl (DE-627)1760390607 (DE-599)KXP1760390607 DE-627 ger DE-627 rda eng O33 R00 jelc Pivar, Jasmina verfasserin aut Conceptual model of big data technologies adoption in smart cities of the European Union Jasmina Pivar 2020 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 Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. DE-206 Namensnennung - Keine Bearbeitungen 4.0 International CC BY-ND 4.0 cc https://creativecommons.org/licenses/by-nd/4.0/ smart city (dpeaa)DE-206 big data technologies (dpeaa)DE-206 adoption (dpeaa)DE-206 TOE framework (dpeaa)DE-206 Enthalten in ENTerprise REsearch InNOVAtion Conference Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015 6(2020), 1 vom: Sept., Seite 572-585 Online-Ressource (DE-627)1745911383 (DE-600)3051947-0 2706-4735 nnns volume:6 year:2020 number:1 month:09 pages:572-585 https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 Verlag kostenfrei https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511 Verlag kostenfrei http://hdl.handle.net/10419/224723 Resolving-System kostenfrei 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_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_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 6 2020 1 9 572-585 26 01 0206 3938084804 x1z 14-06-21 2403 01 DE-LFER 3945668263 00 --%%-- --%%-- n --%%-- l01 06-07-21 2403 01 DE-LFER https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 |
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10419/224723 hdl (DE-627)1760390607 (DE-599)KXP1760390607 DE-627 ger DE-627 rda eng O33 R00 jelc Pivar, Jasmina verfasserin aut Conceptual model of big data technologies adoption in smart cities of the European Union Jasmina Pivar 2020 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 Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. DE-206 Namensnennung - Keine Bearbeitungen 4.0 International CC BY-ND 4.0 cc https://creativecommons.org/licenses/by-nd/4.0/ smart city (dpeaa)DE-206 big data technologies (dpeaa)DE-206 adoption (dpeaa)DE-206 TOE framework (dpeaa)DE-206 Enthalten in ENTerprise REsearch InNOVAtion Conference Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015 6(2020), 1 vom: Sept., Seite 572-585 Online-Ressource (DE-627)1745911383 (DE-600)3051947-0 2706-4735 nnns volume:6 year:2020 number:1 month:09 pages:572-585 https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 Verlag kostenfrei https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511 Verlag kostenfrei http://hdl.handle.net/10419/224723 Resolving-System kostenfrei 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_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_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 6 2020 1 9 572-585 26 01 0206 3938084804 x1z 14-06-21 2403 01 DE-LFER 3945668263 00 --%%-- --%%-- n --%%-- l01 06-07-21 2403 01 DE-LFER https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 |
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10419/224723 hdl (DE-627)1760390607 (DE-599)KXP1760390607 DE-627 ger DE-627 rda eng O33 R00 jelc Pivar, Jasmina verfasserin aut Conceptual model of big data technologies adoption in smart cities of the European Union Jasmina Pivar 2020 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 Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. DE-206 Namensnennung - Keine Bearbeitungen 4.0 International CC BY-ND 4.0 cc https://creativecommons.org/licenses/by-nd/4.0/ smart city (dpeaa)DE-206 big data technologies (dpeaa)DE-206 adoption (dpeaa)DE-206 TOE framework (dpeaa)DE-206 Enthalten in ENTerprise REsearch InNOVAtion Conference Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (Online) [Zagreb, Croatia] : [IRENET, Society for Advancing Innovation and Research in Economy], 2015 6(2020), 1 vom: Sept., Seite 572-585 Online-Ressource (DE-627)1745911383 (DE-600)3051947-0 2706-4735 nnns volume:6 year:2020 number:1 month:09 pages:572-585 https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 Verlag kostenfrei https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511 Verlag kostenfrei http://hdl.handle.net/10419/224723 Resolving-System kostenfrei 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_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_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 6 2020 1 9 572-585 26 01 0206 3938084804 x1z 14-06-21 2403 01 DE-LFER 3945668263 00 --%%-- --%%-- n --%%-- l01 06-07-21 2403 01 DE-LFER https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/13511/6762 |
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English |
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Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. |
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Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. |
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Big data technologies enable cities to develop towards a smart city. However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union. |
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However, the adoption of big data technologies is challenging, which is why it is essential to identify factors that influence the adoption of big data technologies in cities. The main goal of the paper is to propose a conceptual model of big data technologies adoption in smart cities of the European Union. In order to derive the conceptual model following is done: i) overview of the previous Technology-OrganisationEnvironment framework - based research on the adoption of selected information and communications technologies crucial for the development of smart cities, and ii) selection of factors based on the critical examination of the previous research. Selected factors, Absorptive Capacity, Technology Readiness, Compatibility, City Managements Support, the Existence of Smart City Strategy and Stakeholders Support, were incorporated into the conceptual model of big data technologies adoption in smart cities of the European Union.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="q">DE-206</subfield><subfield code="a">Namensnennung - Keine Bearbeitungen 4.0 International</subfield><subfield code="f">CC BY-ND 4.0</subfield><subfield code="2">cc</subfield><subfield code="u">https://creativecommons.org/licenses/by-nd/4.0/</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">smart city</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">big data technologies</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">adoption</subfield><subfield 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