Awareness and Perception of the Artificial Intelligence in the Management of University Libraries in Nigeria

Abayomi, Owolabi Kehinde; Adenekan, Fauziyah Nihinlolawa; Adeleke, Olateju Abayomi; Ajayi, Taiwo Abosede; Aderonke, Adesina Olaitan

doi:10.1080/1072303x.2021.1918602

Cited by 23 publications

(16 citation statements)

References 16 publications

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“…On the other hand, an investigation of (AI) awareness and perception by the management of university libraries in Nigeria (Abayomi et al , 2021) reveals that academic librarians are aware of AI usage in university libraries. Nevertheless, the fear of job loss is the primary constriction they face in AI technology adoption.…”

Section: Resultsmentioning

confidence: 99%

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Okunlaya

Abdullah

Alias

2022

LHT

135

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PurposeArtificial intelligence (AI) is one of the latest digital transformation (DT) technological trends the university library can use to provide library users with alternative educational services. AI can foster intelligent decisions for retrieving and sharing information for learning and research. However, extant literature confirms a low adoption rate by the university libraries in using AI to provide innovative alternative services, as this is missing in their strategic plan. The research develops (AI-LSICF) an artificial intelligence library services innovative conceptual framework to provide new insight into how AI technology can be used to deliver value-added innovative library services to achieve digital transformation. It will also encourage library and information professionals to adopt AI to complement effective service delivery.Design/methodology/approachThis study adopts a qualitative content analysis to investigate extant literature on how AI adoption fosters innovative services in various organisations. The study also used content analysis to generate possible solutions to aid AI service innovation and delivery in university libraries.FindingsThis study uses its findings to develop an Artificial Intelligence Library Services Innovative Conceptual Framework (AI-LSICF) by integrating AI applications and functions into the digital transformation framework elements and discussed using a service innovation framework.Research limitations/implicationsIn research, AI-LSICF helps increase an understanding of AI by presenting new insights into how the university library can leverage technology to actualise innovation in service provision to foster DT. This trail will be valuable to scholars and academics interested in addressing the application pathways of AI library service innovation, which is still under-explored in digital transformation.Practical implicationsIn practice, AI-LSICF could reform the information industry from its traditional brands into a more applied and resolutely customer-driven organisation. This reformation will awaken awareness of how librarians and information professionals can leverage technology to catch up with digital transformation in this age of the fourth industrial revolution.Social implicationsThe enlightenment of AI-LSICF will motivate library professionals to take advantage of AI's potential to enhance their current business model and achieve a unique competitive advantage within their community.Originality/valueAI-LSICF development serves as a revelation, motivating university libraries and information professionals to consider AI in their strategic plan to enable technology to support university education. This act will enable alternative service delivery in the face of unforeseen circumstances like technological disruption and the present global COVID-19 pandemic that requires non-physical interaction.

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Section: Resultsmentioning

confidence: 99%

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Okunlaya

Abdullah

Alias

2022

LHT

135

View full text Add to dashboard Cite

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“…T A B L E 3 Articles about AI in libraries. Abayomi et al (2020) The study indicates that academic librarians are cognizant of the presence of AI usage in university libraries. However, their adoption of these technologies is hindered primarily by the fear of job loss, despite recognising the potential for enhanced user satisfaction and efficiency through innovative technologies.…”

Section: Value Of Medical Libraries With Chatgptmentioning

confidence: 98%

“…Table 3 catalogues articles that are pertinent to the study, focusing on the intersection of AI and medical libraries. It is interesting to note that librarians express awareness of AI but hesitate due to job loss concerns, recognising potential benefits for user satisfaction and operational efficiency (Abayomi et al, 2020). Integrating human qualities with AI is crucial for a user experience tailored to medical library patrons (Arlitsch & Newell, 2017).…”

Section: Ai In Medical Libraries: Navigating Opportunities and Challe...mentioning

confidence: 99%

ChatGPT in medical libraries, possibilities and future directions: An integrative review

Lund,

Khan,

Yuvaraj

2024

Health Info Libraries J

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BackgroundThe emergence of the artificial intelligence chatbot ChatGPT in November 2022 has garnered substantial attention across diverse disciplines. Despite widespread adoption in various sectors, the exploration of its application in libraries, especially within the medical domain, remains limited.Aims/ObjectivesMany areas of interest remain unexplored like ChatGPT in medical libraries and this review aims to synthesise what is currently known about it to identify gaps and stimulate further research.MethodsEmploying Cooper's integrative review method, this study involves a comprehensive analysis of existing literature on ChatGPT and its potential implementations within library contexts.ResultsA systematic literature search across various databases yielded 166 papers, with 30 excluded for irrelevance. After abstract reviews and methodological assessments, 136 articles were selected. Critical Appraisal Skills Programme qualitative checklist further narrowed down to 29 papers, forming the basis for the present study. The literature analysis reveals diverse applications of ChatGPT in medical libraries, including aiding users in finding relevant medical information, answering queries, providing recommendations and facilitating access to resources. Potential challenges and ethical considerations associated with ChatGPT in this context are also highlighted.ConclusionPositioned as a review, our study elucidates the applications of ChatGPT in medical libraries and discusses relevant considerations. The integration of ChatGPT into medical library services holds promise for enhancing information retrieval and user experience, benefiting library users and the broader medical community.

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“…By analysing usage patterns and user preferences, AI algorithms can assist librarians in making data-driven decisions regarding acquisitions, resource allocation and weeding (Hussain, 2023). In a study conducted by Abayomi et al (2021), AI-based resource management systems were shown to improve accuracy in demand prediction, optimize budget allocation and streamline the collection development process. The landscape of AI applications in library services is constantly evolving, with emerging technologies and innovative approaches being explored.…”

Section: Landscape Of Artificial Intelligence Applications In Library...mentioning

confidence: 99%

Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries

Barsha¹,

Munshi²

2023

LHTN

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Purpose Artificial intelligence (AI) is one of today’s rising technologies. AI is a commonly used technology in library services that have the potential to revolutionise the best offerings in the information age. With AI in libraries, users can explore the world of knowledge like never before with smart recommendations tailored to their needs. Overall, AI can enhance the library experience of both the users and library professionals with innovation and smart decisions. Hence, there is no doubt that AI and libraries have a close relationship; nonetheless, the usage and understanding of AI in library services continue to raise concerns, especially in the developing countries which this paper addresses. The purpose of this research paper is to review the current prospects and challenges of implementing AI in library services in developing countries. The primary objective of the study is to discern the pivotal predicaments and obstacles these nations face while implementing AI-based solutions and to propose pragmatic solutions. Design/methodology/approach The present study adopts a qualitative approach, using content analysis techniques to glean meaningful insights. An extensive review of the extant literature on the subject was conducted, which was meticulously analysed to furnish the findings of this study. The review is limited to English language sources, and searches were conducted using various online academic databases. Findings The review reveals that the prospects of implementing AI in library services in developing countries are significant, with potential benefits including improved access to information, increased efficiency and productivity and enhanced user experience. However, the review also identifies several challenges, including the lack of infrastructure and resources, the shortage of skilled personnel, the absence of data privacy regulations, digital divide and the high cost of implementing AI-based solutions. Practical implications The review suggests several practical solutions to overcome the challenges faced by developing countries in implementing AI in library services. These include partnerships between libraries and technology firms, investment in infrastructure and resources, training and capacity building for library staff and the development of regulatory frameworks to protect user data. Originality/value This research paper provides a comprehensive review of the prospects and challenges of implementing AI in library services in developing countries. The study is original in its focus on the perspectives of developing countries, their problems and obstacles. The study also provides practical recommendations that can be used by library managers, policymakers and technology firms to support the implementation of AI-based solutions in developing countries.

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Awareness and Perception of the Artificial Intelligence in the Management of University Libraries in Nigeria

Cited by 23 publications

References 16 publications

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education

ChatGPT in medical libraries, possibilities and future directions: An integrative review

Implementing artificial intelligence in library services: a review of current prospects and challenges of developing countries

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