Exploring the Factors Influencing Big Data Technology Acceptance

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BRONZE

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Top 10%
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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

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OpenCitations Citation Count
17

Volume

70

Issue

Start Page

1738

End Page

1753
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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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