Factors influencing the adoption of artificial intelligence in libraries
A systematic literature review
Bibliographic Data
| ID | 21500652 |
|---|---|
| Authors | Khurram Shahzad (0000-0003-2354-3131, Government College University, Lahore, corresponding author), Shakeel Ahmad Khan (0000-0002-0469-8018, Department of Information Management, The Islamia University of Bahawalpur Pakistan, Pakistan), Abid Iqbal (0000-0002-6371-7020, Prince Sultan University), Shakil Ahmed (0000-0003-3631-5832, Prince Sultan University), Asfa Muhammed Din Javeed (0009-0007-8788-4222, Alfaisal University), Osama Mohamed (0009-0009-7627-0617, Prince Sultan University) |
| Year | 2025 |
| Volume | 41 |
| Issue | 3 |
| Pages | 592-614 |
| Publication date | 2025-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669241313368 |
| OpenAlex | W4406681383 |
| Language | EN |
| Citations received | 3 |
| References cited | 44 |
The study aimed to identify the factors influencing the adoption of artificial intelligence applications in libraries, find out the associated challenges with the adoption of AI apps, and develop a framework to effectively implement AI tools in libraries. A systematic literature review (SLR) was applied to address the study's objectives. 30 most relevant research papers published in impact factor journals were selected to conduct the study. Findings of the study showed that four major factors influenced the adoption of AI in libraries. These factors included transformation of library services, provision of innovative services, librarians and users’ satisfaction, and technological revolution. The study manifested that technological challenges, skills and knowledge barriers, financial challenges, and organizational and cultural barriers caused barriers for librarians to adopt AI apps in libraries. The study has added valuable literature to the existing body of knowledge. It has developed framework on evidence based datasets to adopt AI apps in libraries effectively and efficiently
Business · Data science · Knowledge management · AI in Service Interactions · Computer Science · FinTech, Crowdfunding, Digital Finance · Psychology · Technology Adoption and User Behaviour
| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |