Metaverse academic library: would it be patronized?

Author:

Adetayo Adebowale Jeremy,Adekunmisi Sowemimo Ronke,Abata-Ebire Blessing Damilola,Adekunmisi Adedokun Adedayo

Abstract

Purpose This study aims to examine if students would patronize metaverse academic library (MAL) if it becomes available in Nigeria. Design/methodology/approach This study used a descriptive survey research design. The population was made up of 1,037 undergraduate in Adeleke University. Descriptive statistic was used to analyse data. Findings Findings indicated most students have never used virtual reality (VR) equipment, they are eager to use MAL for virtual academic research, library user education, accessing circulation services, reading serials and contacting reference librarians. The study concluded that MAL would be patronised by students if it is made available and therefore recommends that greater effort be made to make VR gear accessible and cheap for developing nations such as Nigeria. Originality/value The study is novel as it contributes to scarce research on MAL.

Publisher

Emerald

Subject

Library and Information Sciences,Education,Information Systems

Reference39 articles.

1. A technology acceptance model survey of the metaverse prospects;AI, Multidisciplinary Digital Publishing Institute,2022

2. Adetayo, A.J., Enamudu, A.I. and Lawal, F.M. (2021), “Exploiting virtual realities for library serial services to Nigeria disabled patrons”, Library Philosophy and Practice (e-Journal), available at: https://digitalcommons.unl.edu/libphilprac/6494 (accessed 20 December 2021).

3. Adetayo, A.J., Suleiman, A.I. and Ayodele, M.O. (2022), “Leveraging digital infopreneurship for financial well-being of academic librarians: the Nigerian perspective”, Library Philosophy and Practice (e-Journal), available at: https://digitalcommons.unl.edu/libphilprac/6652 (accessed 2 January 2022).

4. American Library Association (2017), “Virtual reality”, available at: www.ala.org/tools/future/trends/virtualreality (accessed 1 August 2021).

5. Inference of viewed exhibits in a metaverse museum,2013

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