Determinants of research output submission in institutional repositories by faculty members in Nigerian universities
Abstract
Purpose: This paper aims to determine and analyze the rate of content submission by lecturers in relation to type of university, discipline, academic qualification, rank and teaching experience and identified the determinants of research output submission by faculty members in Nigerian varsities. Design/methodology/approach: The survey was conducted in six universities with functional institutional repositories in Southern Nigeria. Data collated through questionnaire from the university lecturers were analyzed using frequency distribution, percentages and regression analysis. Findings: Results showed that submission of research output was higher for lecturers in Social Sciences than for those in the Sciences; the highest among those with doctorate degree, senior lecturers and those with 6–10 years of teaching experience. The rank of faculty members and the type of university were significant determinants of research output submission. Research limitations/implications: The survey was limited to universities in Southern Nigeria with functional institutional repositories. There should be further investigations on same study in universities with functional institutional repositories in other regions in Nigeria. Practical implications: Increased submission rate by faculty members will sustain the institutional repositories. Social implications: Faculty members get in contact, make friends and engage in collaborative research. Originality/value: This report contributes to the global knowledge and communication’s field through the provision of empirical evidence on the determinants of content submission in open access institutional repositories. © 2020, Emerald Publishing Limited.
Author(s)
Onyebinama, Colette Ogugua, Anunobi, Chinwe Veronica, Onyebinama, Uzochukwu Anelechi Ubaferem
Year
2022
Countries
Nigeria
Language
English
Research Method
Quantitative
Article Type
Peer-Reviewed Articles
Keywords
Higher education | Information management | Excel Import
Full Citation Style
Research Team
Onyebinama, Colette Ogugua
Anunobi, Chinwe Veronica
Onyebinama, Uzochukwu Anelechi Ubaferem
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