Exploring the Factors Influencing Big Data Technology Acceptance
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Date
Authors
Journal Title
Journal ISSN
Volume Title
Open Access Color
BRONZE
Green Open Access
No
OpenAIRE Downloads
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Publicly Funded
No
Abstract
Big Data has received great attention in academic literature and industry papers. Most of the experiments and studies focused on publishing results of big data technologies development, machine learning algorithms, and data analytics. To the best of our knowledge, there is not yet any comprehensive empirical study in the academic literature on big data technology acceptance. The statistical results of this model provide a compelling explanation of the relationships among the antecedent variables and the dependent variables. The analysis of the structural model reveals that the hypothesis tests are significant for 8 out of 12 path relationships. IEEE
Description
Article; Early Access
Keywords
Artificial intelligence, Big data, Business data processing, Data models, Decision making, Intelligent systems, Task analysis, Taxonomy, Engineering Science and Materials
Fields of Science
0502 economics and business, 05 social sciences
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
17
Volume
70
Issue
Start Page
1738
End Page
1753
PlumX Metrics
Citations
CrossRef : 4
Scopus : 22
Captures
Mendeley Readers : 139
SCOPUS™ Citations
22
checked on Apr 28, 2026
Web of Science™ Citations
17
checked on Apr 28, 2026
Page Views
24621
checked on Apr 28, 2026
Downloads
774
checked on Apr 28, 2026
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