Artificial intelligence (AI) has become a prominent research area in library and information science (LIS), raising questions about how it is studied, applied, and conceptualised. This review synthesises AI scholarship in LIS between 2001 and 2025, following the Joanna Briggs Institute (JBI) framework and PRISMA-ScR standards. From 9249 records retrieved in Scopus, 387 publications were analysed using bibliometric mapping, content analysis, and study design classification. Findings show rapid growth since the mid-2010s, with most contributions concentrating in a few countries, journals, and authors. Six thematic clusters emerged: AI and library practice, academic libraries, diverse contexts, reference services, smart library technologies, and technical foundations. Research is dominated by conceptual and survey-based studies, with limited experimental or longitudinal designs. Ethical and governance concerns are frequently mentioned but rarely examined, and perspectives from the Global South remain underrepresented. The review highlights gaps and outlines future directions to guide responsible and inclusive adoption of AI in libraries worldwide.
AsemiAKoANowkariziM. Intelligent libraries: a review on expert systems. Libr Hi Tech2020; 39(2): 412–434.
4.
AttanasioP. New challenges in metadata management between publishers and libraries. Jlis.it2022; 13(1): 116–122.
5.
GulSBanoS. Smart libraries: an emerging and innovative technological habitat of 21st century. Electron Libr2019; 37(5): 764–783.
6.
DuncanASPSterlingJJ. Smart cities fueled by smart libraries: implementation and application in an English-speaking Caribbean context. Libr Hi Tech News2023; 40(1): 213–219.
7.
AllisonD. Chatbots in the library: is it time?Libr Hi Tech2012; 30(1): 95–107.
8.
ChenX. ChatGPT and its possible impact on library reference services. Internet Ref Serv Q2023; 28(1): 1–7.
9.
CoxAMPinfieldSRutterS. The intelligent library: thought leaders’ views on the likely impact of artificial intelligence on academic libraries. Libr Hi Tech2019; 37(3): 418–435.
10.
HervieuxSWheatleyA. Perceptions of artificial intelligence: a survey of academic librarians. J Acad Librariansh2021; 47(1): 102270.
11.
AndrewsJEWardHYoonJ. UTAUT as a model for understanding intention to adopt AI and analytics in libraries. J Acad Librariansh2021; 47(6): 102437.
12.
WheatleyAHervieuxS. Artificial intelligence in academic libraries: perceptions and applications. Inf Serv Use2020; 39(4): 347–356.
13.
HussainA. Use of artificial intelligence in the library context: opportunities and challenges. Libr Hi Tech News2023; 40(2): 15–17.
14.
BradleyF. Representation of libraries in artificial intelligence regulations and implications for ethics and practice. J Aust Libr Inf Assoc2024; 71(3): 198–200.
15.
LoLS. AI policies across the globe: implications and recommendations for libraries. IFLA J2023; 49(4): 645–649.
16.
MichalakR. From ethics to execution: the role of academic librarians in artificial intelligence (AI) policy-making at colleges and universities. J Libr Adm2023; 63(7): 928–938.
17.
HuangCSamekTShiriA. AI and ethics: ethical and educational perspectives for LIS. J Educ Libr Inf Sci2021; 62(4): 351–365.
18.
TsekeaSMandogaE. The ethics of artificial intelligence use in university libraries in Zimbabwe. Front Res Metr Anal2024; 9: 1522423.
19.
HarisantyDAnnaNEVPutriTE, et al. Leaders, practitioners and scientists’ awareness of artificial intelligence in libraries. Libr Hi Tech2024; 42(3): 809–825.
20.
HussainAAhmadS. Mapping the literature on artificial intelligence in academic libraries: a bibliometrics approach. Sci Technol Libr2023; 43(2): 131–146.
21.
IslamMNAhmadSAqilM, et al. Application of artificial intelligence in academic libraries: a bibliometric analysis and knowledge mapping. Discov Artif Intell2025; 5(1): 59.
22.
IslamMNHuG. Trends and patterns of artificial intelligence research in libraries: a bibliometric analysis. SAGE Open. Epub ahead of print 19February. DOI: 10.1177/21582440251327528.
23.
HallingerPKovacevicJ. A bibliometric review of research on educational administration: science mapping the literature, 1960 to 2018. Rev Educ Res2019; 89(3): 335–369.
24.
ZupicIČaterT. Bibliometric methods in management and organization. Organ Res Methods2015; 18(3): 429–472.
25.
Ferrer -SerranoMFunetelsazLLatorre -MartinezMP. Knowledge transfer and networks: a bibliometric approach through performance analysis, science mapping, and dynamic network analysis. J Knowl Econ. Epub ahead of print 19July. DOI: 10.1007/s13132-025-02814-6.
26.
OzturkOKocamanRKanbachDK. How to design bibliometric research: an overview and a framework proposal. Rev Manage Sci2024; 18: 3333–3361.
27.
PetersMDJCaseyMTriccoAC, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth2020; 18(10): 2119–2126.
28.
TriccoACLillieEZarinW, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intl Med2018; 169(7): 467–473.
29.
BaasJSchottenMPlumeA, et al. Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quant Sci Stud2020; 1(1): 377–386.
30.
BurnhamJF. Scopus database: a review. Biomed Digit Libr2006; 3: 1.
31.
StapletonJCarterCBredahlL. Developing systematic search methods for the library literature: methods and analysis. J Acad Librariansh2020; 46: 102190.
32.
de Moya-AnegonFChinchilla-RodriguezZVargas-QuesadaB, et al. Coverage analysis of Scopus: a journal metric approach. Scientometrics2007; 73: 53–78.
33.
KamaliaSIbrahimCChafitA, et al. Knowledge mapping in the field of library and information science in Scopus-indexed Q1 library science journals, 2018–2022. Rev Cub Inf Cienc Salud2024; 35: e2659.
34.
van EckNJWaltmanL. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics2010; 84(2): 523–528.
35.
CresswellJWCresswellJD. Research design: qualitative, quantitative, and mixed methods approaches. 5th ed. Los Angeles: SAGE, 2018.
36.
HempelS. Conducting your literature review. Washington, DC: American Psychological Association, 2020.
37.
LiHAnHWangY, et al. Evolutionary features of academic libraries co-keyword network and keywords co-occurrence network: based on two-mode affiliation network. Physica A Stat Mech Appl2016; 450: 657–669.
38.
GuyuttotOLe FurE. A systematic literature review and bibliometric analysis of research on COVID-19 in strategy journals. Strateg Change2022; 32(3): 1–18.
39.
GreenJThorogoodN. Qualitative methods for health research. London: SAGE, 2004.
40.
GrbichC. Qualitative data analysis: an introduction. 2nd ed. Los Angeles, CA: SAGE, 2013.
41.
HuangYCoxACoxJ. Artificial intelligence in academic library strategy in the United Kingdom and the mainland of China. J Acad Librariansh2023; 49(6): 102772.
42.
LundBDOmameITijaniS, et al. Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories. Coll Res Libr2020; 81(5): 865–882.
43.
BarshaSMunshiSA. Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries. Libr Hi Tech News2024; 41(1): 7–10.
44.
HarisantyDAnnaNEVPutriTE, et al. Is adopting artificial intelligence in libraries urgency or a buzzword? A systematic literature review. J Inf Sci2025; 51(2): 511–522.
45.
OkunlayaROSyed AbdullahNAliasRA. Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Libr Hi Tech2022; 40(6): 1869–1892.
46.
KaushalVYadavR. The role of chatbots in academic libraries: an experience-based perspective. J Aust Libr Inf Assoc2022; 71(3): 215–232.
47.
VasishtaPDhingraNVasishtaS. Application of artificial intelligence in libraries: a bibliometric analysis and visualisation of research activities. Libr Hi Tech2025; 43(2–3): 693–710.
48.
AdetayoAJ. Conversational assistants in academic libraries: enhancing reference services through Bing Chat. Libr Hi Tech News. Epub ahead of print 19September2023. DOI: 10.1108/LHTN-08-2023-0142.
49.
AdetayoAJOyeniyiWO. Revitalizing reference services and fostering information literacy: Google Bard’s dynamic role in contemporary libraries. Libr Hi Tech News. Epub ahead of print 21August2023. DOI: 10.1108/LHTN-08-2023-0137.
50.
CaoGLiangMLiX. How to make the library smart? the conceptualization of the smart library. Electron Librar2018; 36(5): 811–825.
51.
AdetayoAJ. Harnessing coopetition for the survival of Nigerian public libraries: role of smart technologies. Int Inf and Libr Rev2023; 55(1): 29–43.
52.
LiSHaoZDingL, et al. Research on the application of information technology of big data in Chinese digital library. Libr Manage2019; 40(8/9): 518–531.
53.
YoonJWAndrewsJEWardHL. Perceptions on adopting artificial intelligence and related technologies in libraries: public and academic librarians in North America. Libr Hi Tech2022; 40(6): 1893–1915.
54.
KetheeswarenS. Evolving landscape of smart libraries: a diachronic analysis of themes and trends. Tech Serv Q2024; 41(4): 333–350.
55.
KhanAUMaZLiM, et al. From traditional to emerging technologies in supporting smart libraries: a bibliometric and thematic approach from 2013 to 2022. Libr Hi Tech2025; 43(2–3): 590–621.
GaspariniAKautonenH. Understanding artificial intelligence in research libraries: an extensive literature review. LIBER Q2022; 32(1): 1–36.
58.
BorgohainDJBhardwajRKVermaMK. Mapping the literature on the application of artificial intelligence in libraries (AAIL): a scientometric analysis. Libr Hi Tech2024; 42(1): 149–179.
59.
TorresEMNatividadKC. Mapping the landscape: a scoping review of internal communication in libraries. DESIDOC J Libr Inf Technol2025; 45(4): 406–413.
60.
TorresEMPeñaflorJDC. Mapping IDEA in collection development: A scoping and bibliometric overview. IFLA J. Epub ahead of print 26September2025. DOI: 10.1177/03400352251378765.
61.
TorresEMPeñaflorJDC. Mapping critical librarianship in LIS: a scoping review. J Librariansh Inf Sci. Epub ahead of print 10December2025. DOI: 10.1177/09610006251393721.
