Artificial Intelligence and Information Repackaging Services in Tanzanian Academic Libraries

Abstract

Rationale of study: This study examines the integration of AI in the repackaging of library services among academic libraries in Tanzania. Methodology: The study was anchored in the interpretivist paradigm, adopted a qualitative research approach, and employed a multisite qualitative exploration design. A total of 13 librarians from 13 academic libraries across the country participated in the study. Data for the study were collected through telephone interviews, in which 13 librarians were purposively selected. A documentary review was conducted to corroborate the findings from the interviews. Data collected from interviews were subjected to content analysis after transcription. Findings: The study found that most academic libraries in Tanzania have not yet begun implementing AI in their services, though a few have. Regarding awareness of AI tools for repackaging library services, the study found that a few librarians were aware of these tools and their use. At the same time, the majority were unable to demonstrate such awareness. Regarding librarians' perceptions of AI use, the majority supported its integration. Various challenges to AI integration among academic libraries in Tanzania were identified, including a lack of librarian training, high installation costs, limited AI-use skills among librarians, concerns about data privacy and security, and an absence of AI policies. Implications: The study recommended the formulation of well-written AI use policies, training for librarians on AI use, and the allocation of funds by top institutional management to facilitate AI integration. Originality: The originality lies in the use of a qualitative research approach, which provides an in-depth understanding of how academic libraries use AI in repackaging services.