Leveraging AI to Address Resource Allocation Challenges in Academic and Research Libraries

• Author(s): Ugochukwu Francis Ikwuanusi ; Chima Azubuike ; Chinekwu Somtochukwu Odionu ; Aumbur Kwaghter Sule
• Paper ID: 1703369
• Page: 311-322
• Published Date: 30-04-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 5 Issue 10 April-2022

Abstract

The increasing complexity of resource allocation in academic and research libraries necessitates innovative solutions to address growing demands, budget constraints, and diverse user needs. Artificial Intelligence (AI) offers transformative capabilities to optimize resource management, ensuring equitable access to critical knowledge assets. This explores the application of AI-driven frameworks to tackle resource allocation challenges, focusing on predictive analytics, machine learning (ML), and natural language processing (NLP) technologies. AI enables libraries to analyze historical usage patterns and forecast future demands, facilitating data-driven decision-making for collection development and acquisition. Machine learning algorithms support personalized resource recommendations, aligning library offerings with user preferences and enhancing user satisfaction. NLP automates metadata creation and resource categorization, improving searchability and discovery across diverse collections. Additionally, AI-driven decision support systems assist in prioritizing investments based on resource impact metrics, ensuring efficient allocation of limited budgets. This research highlights the potential of AI in real-time monitoring of resource utilization, such as physical spaces, equipment, and digital content, enabling dynamic adjustments to meet changing needs. Case studies of successful AI implementations demonstrate best practices and collaborative approaches that can be scaled across institutions. However, the study also addresses critical challenges, including data privacy, algorithmic bias, and disparities in access to AI technologies, underscoring the need for ethical and transparent AI deployment. By leveraging AI, academic and research libraries can transform resource allocation strategies, promoting equity, efficiency, and sustainability. This review concludes with recommendations for future research and the development of open-source AI tools, aiming to empower libraries worldwide in their mission to support education, innovation, and knowledge dissemination.

Keywords

Artificial intelligence, Challenges, Academic, Research libraries

Citations

IRE Journals:
Ugochukwu Francis Ikwuanusi , Chima Azubuike , Chinekwu Somtochukwu Odionu , Aumbur Kwaghter Sule "Leveraging AI to Address Resource Allocation Challenges in Academic and Research Libraries" Iconic Research And Engineering Journals Volume 5 Issue 10 2022 Page 311-322

IEEE:
Ugochukwu Francis Ikwuanusi , Chima Azubuike , Chinekwu Somtochukwu Odionu , Aumbur Kwaghter Sule "Leveraging AI to Address Resource Allocation Challenges in Academic and Research Libraries" Iconic Research And Engineering Journals, 5(10)