Search results

The purpose of the study is to ascertain whether or not faculty members would be motivated to use e-Databases for research considering the impact of the Technology Acceptance Model2 (TAM2) cognitive instrumental processes of job relevance, output quality and result demonstrability.

The survey research design was applied. The selection of samples was based on a multistage sampling technique involving; purposive, simple/systematic random and total enumeration procedures. Five colleges and departments each were selected from the three universities that provided the setting for the conduct of this study, out of which a sample of 135 was drawn from the total population of 209. The questionnaire method was used for data gathering. Ninety-five percent return rate of the administered instrument was observed. Descriptive and inferential statistical tools were employed for data analyses.

Job relevance, output quality and result demonstrability are motivators of faculty use of e-Databases for research with result demonstrability wielding the strongest influence. Use of e-Databases for research is based on the usefulness level perceived of them. Faculty are highly predisposed to using the technology for research with the chances of getting published in reputable journal outlets ranked highest among other factors that influence faculty use of e-Databases.

The conceptualization of TAM2 cognitive instrumental processes as system characteristics and motivators of e-Databases use among faculty towards research engagement advances the understanding of intention to use e-Databases for research.

The study investigated the contributions of household farming in palliating the economic effect of COVID-19 during the lockdown period. The study was questionnaire-based involving 510 participants randomly drawn from 17 Local Government Areas in Enugu State. Data were collected on demographic data, household expenditure, farm plots size, crops cultivated, sufficiency and extent farm produce contributed to palliating the effect of COVID-19 shocks. Data analysis used descriptive statistics, PCA and ANOVA. 89% households were fully involved in farming during the lockdown which positively impacted on household economy and especially SDGs 2 and 12. The lockdown improved household food production and pushed towards a positive behavioral change towards food security. 85% households indicated interest in expanding their farm size after the pandemic. Land and capital unavailability were significant barriers to taking farming as a major occupation. Several policy options were proposed to improve food production at household levels to mitigate the impact of COVID-19 crisis on food security.