Izvorni znanstveni članak
https://doi.org/10.7906/indecs.23.6.9
Determinants of Big Data Technology Adoption in Smart Cities of European Union
Jasmina Pivar
; University of Zagreb, Faculty of Economics and Business Zagreb, Zagreb, Croatia
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* Dopisni autor.
Sažetak
A smart city seeks to resolve public problems by employing information and communication technologies with the collaborative support of city management and other different groups of stakeholders. Cities generate an increasing amount of data that transforms into a valuable asset when managed employing big data technologies. The main goal of the paper is to identify and assess the determinants of big data technology adoption (BDTA) in European Union cities. The proposed research model highlights potential determinants of BDTA, based on literature review. The model’s conceptualisation has its foundation in the Technology – Organisation – Environment framework. The data was gathered employing a structured questionnaire. The research targets cities within European Union member states that have populations exceeding 40 000 inhabitants. The research model was assessed applying the Partial Least Squares Structural Equation Modelling approach aided by SmartPLS software. The model assessment found that cities’ technological readiness, absorptive capacity, city management support, existence of smart city management and stakeholder support positively influence BDTA. Moreover, BDTA in cities positively influences data utilisation for city management decision-making. No moderating effect of city size on the relationships between individual factors and BDTA was identified.
Ključne riječi
big data technology; adoption; smart city; European Union; TOE
Hrčak ID:
342127
URI
Datum izdavanja:
23.12.2025.
Posjeta: 409 *