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Time Management: An Effective Tools for Academic Staff On Their Job Performance in Bamidele Olumilua University of Education, Science and Technology, Ikere-Ekiti, Ekiti State

Authors: OLOWE Modupe Oluwatoyin (Ph.D);

Time Management: An Effective Tools for Academic Staff On Their Job Performance in Bamidele Olumilua University of Education, Science and Technology, Ikere-Ekiti, Ekiti State

Abstract

The purpose of the study is to examine how academic staff in the College of Education manage their time with their performance on their job. The University runs a collegian system, in which the College of Education is one of the Colleges in the University. Two research questions and two hypotheses were formulated to help the study. The study was hinged on ABC System theory. This study adopted descriptive research of the survey type. The population for the study consisted of all academic’s staff in the college of education, a total of 158, the sample of the study made up of 68 academic staff using a random sampling technique. A validated questionnaire was used to elicit information. The split half method was used to test the reliability of the instrument. It was revealed that academic staff maximized their time and judiciously utilize it for effective job performance in the institution, and also male lecturers were able to maximize their time for effective job performance more than female lecturers. It is recommended that there is need for urgent training and re-training of academic staff especially the female ones on how to effectively manage time such that their work efficiency in the school will not be hampered. Keywords: Time Management, Academic staff, Work Efficiency and Job performance,

Keywords

Time Management, Academic staff, Work Efficiency and Job performance,

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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