Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2194-5411
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Using an extended technology acceptance model to predict enterprise architecture adoption in making cities smarter ; day:6 ; month:7 ; year:2022 ; pages:1-18
Environment systems & decisions ; (6.7.2022), 1-18
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10669-022-09867-x
- URN
-
urn:nbn:de:101:1-2022082518494885829135
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:32 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bokolo, Anthony (Jnr.)
- Petersen, Sobah Abbas
- SpringerLink (Online service)
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