Development of a Generative AI Powered Application for Enhanced ICT Services Data Analysis and Interpretation

This study addresses that gap by presenting the design, development, and evaluation of a Generative AI-powered Decision Support System (DSS) aimed at transforming ICT services at St. Paul University Philippines. The DSS shifts service management from reactive to proactive by utilizing Generative AI-enhanced descriptive, diagnostic, predictive, and prescriptive analytics. It specifically tackles challenges in equipment maintenance, service request management, and system performance monitoring, thereby optimizing decision-making and service efficiency. Employing a Descriptive and Developmental Research Design, the DSS was rigorously evaluated. IT experts assessed its technical quality and AI functionality using ISO/IEC 25010 standards, while SPUP administrators evaluated user acceptance through the Technology Acceptance Model, focusing on perceived ease of use and the utility of AI-driven insights.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17277154
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Development of a Generative AI Powered Application for Enhanced ICT Services Data Analysis and Interpretation

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Development of a Generative AI Powered Application for Enhanced ICT Services Data Analysis and Interpretation

article en

Abstract

This study addresses that gap by presenting the design, development, and evaluation of a Generative AI-powered Decision Support System (DSS) aimed at transforming ICT services at St. Paul University Philippines. The DSS shifts service management from reactive to proactive by utilizing Generative AI-enhanced descriptive, diagnostic, predictive, and prescriptive analytics. It specifically tackles challenges in equipment maintenance, service request management, and system performance monitoring, thereby optimizing decision-making and service efficiency. Employing a Descriptive and Developmental Research Design, the DSS was rigorously evaluated. IT experts assessed its technical quality and AI functionality using ISO/IEC 25010 standards, while SPUP administrators evaluated user acceptance through the Technology Acceptance Model, focusing on perceived ease of use and the utility of AI-driven insights.

Zenodo (CERN European Organization for Nuclear Research)
St. Paul University Philippines (PH)
Openalex Percentile: Top 52%
Artificial Intelligence in Healthcare and Education
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Development of a Generative AI Powered Application for Enhanced ICT Services Data Analysis and Interpretation · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS