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Article
Publication date: 4 April 2022

Dessy Harisanty, Nove E. Variant Anna, Tesa Eranti Putri, Aji Akbar Firdaus and Nurul Aida Noor Azizi

This study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the…

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Abstract

Purpose

This study investigates the level of artificial intelligence (AI) awareness among library leaders, practitioners and scientists of Indonesian academic libraries to elucidate the benefits of AI implementation and its necessary infrastructure and challenges.

Design/methodology/approach

The study adopted a purposive sampling technique to select the 38 participants and thematic analysis to analyze the data, identifying eight themes: understanding of AI, AI adoption, benefits of AI, competencies needed to support AI, facilities to support AI, factors supporting AI adoption, AI-inhibiting factors and expectations of AI.

Findings

Different viewpoints provided full awareness among library stakeholders and sufficient information to begin AI initiatives in Indonesian libraries as leaders, practitioners and scientists had a favorable, open and encouraging outlook on AI.

Research limitations/implications

The study does not investigate variations in perspectives between the participants, but it examines their understanding of AI and elaborates the results into the concept of an intelligent library. Moreover, this study only uses samples from academic libraries.

Practical implications

Libraries can take these results into consideration before implementing AI, especially in technology and facilities, librarian competency with regard to AI and leadership roles in AI projects.

Social implications

Library boards and library associations can use this research as a source to create guidelines about AI implementation in academic libraries.

Originality/value

The study addresses the gap in the research on university libraries' readiness and awareness to implement AI, especially in developing countries.

Details

Library Hi Tech, vol. 42 no. 3
Type: Research Article
ISSN: 0737-8831

Keywords

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