AI INFRASTRUCTURE AND STAKEHOLDER READINESS AS DETERMINANTS OF INFORMATION SERVICE DELIVERY BY LIBRARIANS IN FEDERAL UNIVERSITY LIBRARIES IN NORTH-EAST NIGERIA

Abstract

This study examined AI infrastructure and AI-driven stakeholder readiness as determinants of

information service delivery by librarians in Federal University Libraries in North-East Nigeria.

A descriptive research design was adopted. The population comprised 442 librarians drawn from

seven Federal University Libraries in the North-Eastern states of Nigeria, from which a sample of

210 was determined using Yamane's (1967) formula and selected through proportionate stratified

random sampling. Data were collected using the Adoption of Artificial Intelligence Questionnaire

(AAIQ) and the Information Service Delivery Questionnaire (ISDQ), validated by three experts

and yielding Cronbach alpha reliability coefficients of 0.75 and 0.76 respectively. Data were

analysed using mean and standard deviation to answer the research questions, while simple linear

regression was used to test the null hypotheses at the 0.05 level of significance. Findings revealed

that the level of AI infrastructure adoption was low (grand mean = 2.33), while AI-driven

stakeholder readiness was high (grand mean = 2.84). Regression analysis showed that AI

infrastructure significantly predicted information service delivery (R² = 0.412, β = 0.642, p < .001),

as did AI-driven stakeholder readiness (R² = 0.516, β = 0.718, p < .001). Both null hypotheses

were rejected. The study concludes that while human and institutional readiness for AI adoption

is strong among stakeholders in Federal University Libraries in North-East Nigeria, the

infrastructural foundation required to translate this readiness into improved information service

delivery remains inadequate.