Authors : Mary Rose V. Navarro; Ma. Lindie D. Masalinto

Volume/Issue : Volume 11 - 2026, Issue 4 - April

Google Scholar : https://tinyurl.com/4247hnru

Scribd : https://tinyurl.com/3m3hzx8n

DOI : https://doi.org/10.38124/ijisrt/26apr2302

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Academic libraries are undergoing significant transformation as digital innovations reshape service delivery and user engagement. This study examined how smart technology adoption and data analytics utilization predict service innovation practices among academic libraries in the Philippines. It also explored the relationships among these variables and their combined influence on service innovation. A descriptive-correlational design was utilized, involving 242 academic librarians selected through purposive sampling. Data were collected using a validated survey instrument and analyzed using correlation and multiple regression techniques. The findings indicate that automation tools are highly adopted, while artificial intelligence (AI) and Internet of Things (IoT) applications remain at a developing stage. Data analytics utilization is very high, particularly in understanding user behavior, improving services, and supporting collection decisions. Significant positive relationships were found among smart technology adoption, data analytics utilization, and service innovation practice. Regression results further revealed that both smart technology adoption and data analytics significantly predict service innovation, demonstrating their combined role in enhancing library services. The study concludes that while Philippines academic libraries are progressing toward more technology-driven environments, further advancement in emerging technologies is needed. The findings provide insights for strategic planning and highlight the importance of integrating technological and analytical capabilities to strengthen innovation in academic libraries. The study also contributes to broader development goals by supporting the advancement of adaptive, inclusive, and data-informed library services.

Keywords : Smart Library Systems, Analytical Data Practices, Library Service Innovation, Academic Librarians, Philippine Higher Education Institutions.

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