AI in Action: Unveiling Factors Influencing AI and Human Collaboration in Malaysian Academic Libraries

• Published in: 2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings
• Main Author: Aman F.; Zakaria N.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209662823&doi=10.1109%2fAiDAS63860.2024.10730042&partnerID=40&md5=ec5e547a48e4b350a45eec5a57c9c196

In an era where technological advancements are reshaping various sectors, this study investigates the collaborative potential between artificial intelligence (AI) and human efforts within Malaysian academic libraries. Using the UTAUT and Task Technology Fit (TTF) models as theoretical frameworks, data were collected via an online survey from 103 librarians in Malaysian academic libraries. Descriptive analysis and Partial Least Square Structural Equation Modeling statistical analysis were employed. Findings indicate that librarians have a strong intention to adopt AI technologies. Key factors influencing this intention include attitude towards use, performance expectancy, and social influence, whereas effort expectancy and TTF did not significantly impact adoption. By focusing on these key factors, librarians can collaborate effectively with AI by integrating AI elements to enhance library operations and user experiences. © 2024 IEEE.