TY - JOUR
T1 - Artificial intelligence implementation strategies for Ghanaian academic libraries
T2 - A scoping review
AU - Danquah, Monica Mensah
AU - Dadzie, Perpetua Sekyiwa
AU - Gyesi, Kwesi
AU - Yeboah, Francis
AU - Nyarko, Christian Yirenkyi
N1 - Publisher Copyright:
© 2024 Elsevier Inc.
PY - 2024/11
Y1 - 2024/11
N2 - The purpose of this scoping review is to assess the scope of available literature on artificial intelligence (AI) application in libraries with a view to providing strategies for the implementation of AI in Ghanaian academic libraries from relevant literature. The study adopted the framework outlined by Arksey and O'Malley (2005) to enable the retrieval of documents from a major citation database SCOPUS. Relevant articles searched and retrieved were based on Abstract, and Title search on artificial intelligence and academic libraries which comprised the two broad concepts of the study. Data collection was carried out in two phases: phase one from October 2022 and phase two in November 2023. Out of a total of 542 documents retrieved based on a search strategy, 518 met our inclusion criteria. Title, abstract and full text screening of the documents resulted in a total of 478 relevant articles for case analysis. The study outcome after an analysis of the articles deemed relevant and considered for inclusion in the study (478) resulted in the establishment of five major themes: namely” study categories, continental adoption rate, study objectives, study findings and study recommendations which were captured from various cases of articles analyzed.
AB - The purpose of this scoping review is to assess the scope of available literature on artificial intelligence (AI) application in libraries with a view to providing strategies for the implementation of AI in Ghanaian academic libraries from relevant literature. The study adopted the framework outlined by Arksey and O'Malley (2005) to enable the retrieval of documents from a major citation database SCOPUS. Relevant articles searched and retrieved were based on Abstract, and Title search on artificial intelligence and academic libraries which comprised the two broad concepts of the study. Data collection was carried out in two phases: phase one from October 2022 and phase two in November 2023. Out of a total of 542 documents retrieved based on a search strategy, 518 met our inclusion criteria. Title, abstract and full text screening of the documents resulted in a total of 478 relevant articles for case analysis. The study outcome after an analysis of the articles deemed relevant and considered for inclusion in the study (478) resulted in the establishment of five major themes: namely” study categories, continental adoption rate, study objectives, study findings and study recommendations which were captured from various cases of articles analyzed.
KW - Academic libraries
KW - Artificial intelligence
KW - Ghana
KW - Scoping review
KW - SCOPUS database
UR - http://www.scopus.com/inward/record.url?scp=85207966342&partnerID=8YFLogxK
U2 - 10.1016/j.acalib.2024.102975
DO - 10.1016/j.acalib.2024.102975
M3 - Article
AN - SCOPUS:85207966342
SN - 0099-1333
VL - 50
JO - Journal of Academic Librarianship
JF - Journal of Academic Librarianship
IS - 6
M1 - 102975
ER -