Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11231
Title: Exploring the factors influencing big data technology acceptance
Authors: Rahman, Nayem
Daim, Tuğrul U.
Başoğlu, Ahmet Nuri
Keywords: Artificial intelligence
Big data
Business data processing
Data models
Decision making
Intelligent systems
Task analysis
Taxonomy
Issue Date: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
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
URI: http://doi.org/10.1109/TEM.2021.3066153
https://hdl.handle.net/11147/11231
ISSN: 0018-9391
Appears in Collections:Industrial Design / Endüstriyel Tasarım
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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