Perceptions and Adoption Acceptance of Artificial Intelligence Tools in the Telecommunications Sector: A Statistical Study on Network Analytics and Security

This pilot study investigates the adoption trends and challenges of artificial intelligence (AI) and machine learning (ML) in the telecommunications sector, focusing on network analytics and security. Using a two-part design—literature review and survey-based statistical analysis—the study provides early insights into industry perceptions and readiness. With data from 31 telecom professionals in a leading Philippine service provider, results reveal a low level of current implementation but high expectations for future adoption. Despite the small sample size, which limits generalizability, this study contributes a foundational analysis of key drivers and obstacles of AI/ML adoption. It highlights the importance of workforce upskilling, integration strategies, and stakeholder engagement in supporting AI readiness within telecom organizations.

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Publication Details

Published
2025-08-09
DOI
https://doi.org/10.1109/isci65687.2025.11167572
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
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article

Perceptions and Adoption Acceptance of Artificial Intelligence Tools in the Telecommunications Sector: A Statistical Study on Network Analytics and Security

Lyberius Ennio F. Taruc
Impact of AI and Big Data on Business and Society
article

Perceptions and Adoption Acceptance of Artificial Intelligence Tools in the Telecommunications Sector: A Statistical Study on Network Analytics and Security

Lyberius Ennio F. Taruc
article en

Abstract

This pilot study investigates the adoption trends and challenges of artificial intelligence (AI) and machine learning (ML) in the telecommunications sector, focusing on network analytics and security. Using a two-part design—literature review and survey-based statistical analysis—the study provides early insights into industry perceptions and readiness. With data from 31 telecom professionals in a leading Philippine service provider, results reveal a low level of current implementation but high expectations for future adoption. Despite the small sample size, which limits generalizability, this study contributes a foundational analysis of key drivers and obstacles of AI/ML adoption. It highlights the importance of workforce upskilling, integration strategies, and stakeholder engagement in supporting AI readiness within telecom organizations.

Polytechnic University of the Philippines (PH)
Openalex Percentile: Top 69%
Impact of AI and Big Data on Business and Society
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