The Influence Loop: How Perceived Norms Drive Academic Librarians' Use and Advocacy of Generative AI for Information-seeking.
Although generative AI tools are becoming increasingly popular in the workplace, owing partly to the belief that they can boost efficiency and productivity, empirical evidence is limited on the norms that drive actual usage and advocacy behaviour among academic librarians, particularly in developing...
| Publicado en: | Pertanika Journal of Social Sciences & Humanities Vol. 34; pp. 229 - 254 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Universiti Putra Malaysia
2026 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=192857557&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 192857557 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01287702 TKQ jtl: Pertanika Journal of Social Sciences & Humanities issn: 01287702 maglogo: N pubinfo: dt: 2026 Supplement vid: 34 pid: 20751 pub: Universiti Putra Malaysia artinfo: ui: 192857557 10.47836/pjssh.34.S1.09 ppf: 229 ppct: 25 formats: fmt: @attributes: type: P size: 4MB tig: atl: The Influence Loop: How Perceived Norms Drive Academic Librarians' Use and Advocacy of Generative AI for Information-seeking. aug: au: Daramola, Funlayo Celicia Adebo, Adetumilara Iyanuoluwa Hamsan, Hanina H. affil: Library and Information Science Department, Federal University of Technology, PMB 704 Akure, Nigeria. Department of Social and Developmental Sciences, Universiti Putra Malaysia, 43400 Serdang, Malaysia. su: Academic librarians Social norms Information-seeking behavior Generative artificial intelligence Digital literacy Intention sug: subj: Academic librarians Social norms Information-seeking behavior Generative artificial intelligence Digital literacy Intention keyword: higher education information literacy library services perceived norms skills ab: Although generative AI tools are becoming increasingly popular in the workplace, owing partly to the belief that they can boost efficiency and productivity, empirical evidence is limited on the norms that drive actual usage and advocacy behaviour among academic librarians, particularly in developing countries. The current study aims to determine the influence of two types of perceived norms (injunctive norms and descriptive norms) on academic librarians' generative AI use and advocacy behaviours while examining the mediating role of behavioural intention and the role of digital information-seeking skills. This study applies the integrated behavioural model to correlational research among academic librarians in three Federal Universities in South-Western Nigeria. A sample of 133 participants was selected using simple random sampling, and responses were obtained using a self-report questionnaire. Partial Least Squares structural equation modelling validated the research model. Results suggest that injunctive norms and information-seeking skills directly influence Generative AI use and advocacy behaviours. Descriptive norms directly influence use behaviour, but not advocacy behaviour and behavioural intention mediates the relationship between injunctive norms and generative AI use behaviour. The Findings have implications for learning and technology adoption among library and information science practitioners, particularly for improving skills through targeted training programmes and social interaction in the workplace. The study offers insights into the potential of Generative AI for information discovery, advocacy, and service delivery by academic librarians in a non-Western context, and provides valuable evidence relevant to policymaking, training, and development. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Pertanika Journal of Social Sciences & Humanities is the property of Universiti Putra Malaysia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Pertanika Journal of Social Sciences & Humanities holder: Universiti Putra Malaysia dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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