Relationship between Performance Expectancy and Use of New Media in Scholarly Communication by Academic Staff in Public Universities in Kenya
Journal Title: IOSR Journal of Humanities and Social Science - Year 2018, Vol 23, Issue 6
Abstract
Scholarly communication is integral to the research process and to the development of knowledge. Traditionally, research has been published in print journals which continue to be the preferred channel, especially in developing countries like Kenya. Lately, the academic publishing industry is grappling with disruption brought about by digital media. Scholarly communication is changing with the growth of new media technologies and these changes are impacting on all members of the academic community and on how they go about creating and maintaining scholarship. The aim of this study was to examine the influence of performance expectancy on the use of new media in scholarly communication by university academic staff in Kenya. The study used the unified theory of acceptance and use of technology (UTAUT) as a theoretical basis to conduct empirical research testing of the influence of performance expectancy on the use of new media technologies in scholarly communication by university lecturers. This was a quantitative survey research. The study population comprised of university lecturers in public universities in Kenya. The target population for the survey was drawn from lecturers from five selected universities which included University of Nairobi, Kenyatta University, Moi University, JKUAT and Egerton University. A self-administered questionnaire was distributed to the lecturers in the five universities for data collection. Findings of the study were analysed using Statistical Programmes for Social Sciences Version 22. A bivariate analysis of the factors associated with use of new media in scholarly communication revealed that performance expectancy had a significant relationship (p 0.000) with acceptance and use of new media technologies in scholarly communication. Further, a logistic regression model showed that performance expectancy (p 0.007) was found to be statistically significant when all other variables were controlled for.
Authors and Affiliations
Masaya Hillary Chakava, Hellen Kinoti Mberia, George Gatero
Keywords
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- EP ID EP419237
- DOI 10.9790/0837-2306044959.
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