Journal on Efficiency and Responsibility in Education and Science

56-66

Authors: Bimbo Onaolapo Adejare; Gbemi Oladipo Olaore, Ekpenyong Ekpenyong Udofia, Temitayo Bosede Emola

Inefficiency has been a major issue battling the service delivery of non-academic staff in most public universities in Nigeria and this has greatly affected the academic and research outlook of Nigerian universities. Interest in the study was to determine the extent to which induction, demonstration, on-the-job and formal training which are all elements of employee training and development enhance managerial efficiency by looking at employee productivity and quality of service delivery. The study adopts a convenience and stratified sampling technique to select 293 non-academic staffs in selected public universities in Nigeria and the analysis was carried out using the structural equation model (SEM). The results revealed that on-the-job training has a significant negative relationship with the quality of service delivery in Nigerian universities (t=-4.454), (p<0.05) and β=-0.20) which could be because most Nigerian universities do not deliberately place new employees to learn directly from a current employee in order to improve their performance. Hence, the study demonstrates that the only way to resolve inefficiency among non-academic (administrative) staff in public tertiary institutions is to integrate effective training into employee career management and adopt employee performance evaluation process as contained in the private organizations.

79-89

Authors: Lucie Vnoučková, Zdeněk Linhart

Each new generation brings a challenge to employers, university management and teachers with new attitudes affecting their continuous matriculation and degree completion. This article discusses how to retain both business and institutional career-oriented students using real-time communication based on their attitudes, emotions resulting from logically generated synonyms by automatic data evaluation by the information system. The objective of this article is to identify these students early in their academic studies and to assess their likelihood for continuous matriculation and ultimately increase retention rates. Using data from entry questionnaire during application at university, based on their attitudinal expectation, students were categorised into groups that affected their continuous matriculation. Data used in this study were gathered by compulsory entry questionnaire of 535 students in the academic year 2017-2018. Using statistical and dimensional analysis, four groups were identified among university applicants: Proactive, Reactive, Lazy and Institutional. Responses were tested according to Complementary Distribution Function (CDF) and normal distribution as Probabilistic Distribution Function (PDF). Antagonist attitudes were found for answers corresponding to PDF and CDF. Results indicate that business and institutionally oriented students should be separated and treated individually to increase retention.