Journal of Applied Science, Engineering, Technology, and Education
Vol. 7 No. 2 (2025)

Artificial Intelligence Readiness in Malaysian Libraries: An Assessment Framework

Masrek, Mohamad Noorman (Unknown)
Mohamad Rosman, Mohamad Rahimi (Unknown)
Mohamed Shuhidan, Shamila (Unknown)
Baharuddin, Mohammad Fazli (Unknown)
Mutia, Fitri (Unknown)
Soesantari, Tri (Unknown)
Yuwinanto, Helmy Prasetyo (Unknown)
Atmi, Ragil Tri (Unknown)



Article Info

Publish Date
31 Aug 2025

Abstract

This study investigates the readiness of Malaysian libraries to embrace Artificial Intelligence (AI) technologies, focusing on six key dimensions: infrastructure, technical skills, management support, policy and regulations, funding, and training. Utilizing a quantitative research approach, an online survey was conducted to collect data from library heads, providing insights into their preparedness for AI adoption. The survey instrument, developed based on preliminary interviews with librarians and refined through expert feedback and pilot testing, achieved good internal consistency. Findings reveal that while libraries exhibit moderate readiness in terms of internet infrastructure and management support, significant challenges remain in financial planning and policy and regulation formulation for AI integration. These challenges highlight critical areas that need addressing for successful AI adoption. The study provides valuable insights for library administrators and policymakers, emphasizing the need for comprehensive strategies to enhance AI readiness. The contributions of this study are threefold. Theoretically, it expands the understanding of AI readiness in the library sector, offering a validated framework for future research. Empirically, it fills a gap by providing data-driven insights into the current state of AI readiness among Malaysian libraries. Practically, it offers actionable recommendations to improve financial planning and policy development, essential for effective AI integration.

Copyrights © 2025






Journal Info

Abbrev

asci

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

Description

Journal of Applied Science, Engineering, Technology, and Education (ASCI) is an international wide scope, peer-reviewed open access journal for the publication of original papers concerned with diverse aspects of science application, technology and ...