ORIGINAL RESEARCH article
Front. Big Data
Sec. Big Data Networks
An Empirical Test of Antecedents and Perceived Performance of Big Data Analytics in Telecommunication Companies
- IM
Ibrahim Magboul 1
- DO
Diaeldin Osman 2
- FH
Fadi Herzallah 3
- AN
Alnour Nadir Osman 4
- DG
Dexter Gittens 5
1. Ahfad University for Women, Omdurman, Sudan
2. Clark Atlanta University, Atlanta, United States
3. Palestine Technical University - Kadoorie, Tulkarm, Palestine
4. Mississippi Valley State University, Itta Bena, United States
5. Delaware State University, Dover, United States
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Abstract
The emergence of Data concepts, sources, types, and analysis mechanisms has changed dramatically in recent years. Nowadays, big data analytics (BDA) dominates the attention of scholars and practitioners. Since this emergence, different business sectors have started deploying BDA in various endeavors to help improve decision-making and gain a competitive advantage. Recently, some organizations reported that BDA has not yielded the expected business value. In addition, researchers have focused so far on BDA usage in developed countries. Antecedents of BDA adoption have been widely researched; nevertheless, this study is among the first to collate selected antecedents and perceived performance of BDA adoption in one integrated and validated model in the telecommunication sector. Using a purposive sampling technique, thestudy deployed structural equation modelling (SEM) to analyze 201 observations. The findings reveal that six of the eight antecedents of BDA significantly impact BDA, while two showed no significant effect. Furthermore, this research finds that BDA has a positive impact on perceived performance, thus contributing to the technology adoption literature by offering valuable insights for researchers and practitioners in a developing country like Sudan.
Summary
Keywords
Antecedents, big data, big data analytics, Big data analytics adoption, Developing Countries, Perceived performance, Sudan, Telecommunication sector
Received
08 December 2025
Accepted
30 April 2026
Copyright
© 2026 Magboul, Osman, Herzallah, Osman and Gittens. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Diaeldin Osman
Disclaimer
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