Robots in Nigerian academic libraries: Investigating infrastructural readiness and potential for library services

dc.audienceAudience::Information Technology Section
dc.conference.date21-22 August 2019
dc.conference.placeWildau, Germany
dc.conference.sessionTypeInformation Technology
dc.conference.titleRobots in libraries: challenge or opportunity?
dc.conference.venueTechnical University of Applied Sciences Wildau
dc.congressWLICIFLA WLIC 2019 - Wrocław, Poland
dc.contributor.authorOdeyemi, Samuel Oladunjoye
dc.date.accessioned2025-09-24T09:13:46Z
dc.date.available2025-09-24T09:13:46Z
dc.date.issued2019
dc.description.abstractThe study used the lens of Robotics and related strands such as Artificial Intelligence (AI) in the libraries to view how ready the selected Nigerian universities libraries vis-a-vis their librarians’ potentials of the technologies. The study addressed the following questions: What is the level of readiness of university libraries in Nigeria in terms of digital infrastructure, policy framework and human capacity for the adoption and use of robots in providing library and information services? What services are currently available in the university libraries that can potentially be adopted and rendered through robots? What are the attitudes of librarians towards the potential use of robots in providing and accessing library and information services?en
dc.identifier.relatedurlhttps://2019.ifla.org/conference-programme/satellite-meetings/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/6726
dc.language.isoeng
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordRobots
dc.subject.keywordInfrastructural readiness
dc.subject.keywordLibrary services
dc.subject.keywordDigital technologies
dc.subject.keywordArtificial intelligence
dc.titleRobots in Nigerian academic libraries: Investigating infrastructural readiness and potential for library servicesen
dc.typeArticle
ifla.UnitSection:Information Technology Section
ifla.oPubIdhttps://library.ifla.org/id/eprint/2776/

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