How Can Deep Learning and Strategic Thinking Transform Agri-Business Research in Malaysian Academic Libraries?

Abstract

This qualitative research investigates the confluence of strategic thinking and advanced deep learning algorithms in elevating the expertise of senior librarians in Malaysian agri-business research. It emphasizes the role of librarians specializing in agricultural information services and aims to uncover their strategic methodologies and adaptability to emerging technologies. Through extensive interviews, the study reveals the intricate aspects of librarians' strategic decision-making and their application of deep learning algorithms in supporting agri-business research. The paper critically assesses the employment of advanced deep learning techniques, including neural networks and machine learning, to enhance information retrieval and data analytics in the agri-business sector. It introduces the Agri-Business Integrated Framework (ARI Framework), an innovative strategy designed to advance agribusiness research. This framework merges strategic thinking with effective deep learning applications, providing guidance for librarians and researchers in managing agri-business complexities and leveraging new technologies. The adoption of the ARI Framework is intended to improve decision-making processes, optimize resource management, and encourage sustainable practices in agri-business research, thereby making a significant contribution to the development of the field.