Live Covid-19
United States 89,567,321
Cases: 89,567,321
Deaths: 1,043,372
Recovered: 85,286,101
Active: 3,237,848
India 43,532,788
Cases: 43,532,788
Deaths: 525,223
Recovered: 42,879,477
Active: 128,088
Brazil 32,536,302
Cases: 32,536,302
Deaths: 672,101
Recovered: 30,967,114
Active: 897,087
France 31,452,173
Cases: 31,452,173
Deaths: 149,726
Recovered: 29,774,092
Active: 1,528,355
Germany 28,542,484
Cases: 28,542,484
Deaths: 141,397
Recovered: 26,886,400
Active: 1,514,687
United Kingdom 22,741,065
Cases: 22,741,065
Deaths: 180,417
Recovered: 22,182,650
Active: 377,998
Italy 18,805,756
Cases: 18,805,756
Deaths: 168,604
Recovered: 17,617,973
Active: 1,019,179
Russia 18,442,625
Cases: 18,442,625
Deaths: 381,306
Recovered: 17,869,964
Active: 191,355
South Korea 18,413,997
Cases: 18,413,997
Deaths: 24,576
Recovered: 18,239,069
Active: 150,352
Turkey 15,180,444
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Deaths: 99,057
Recovered: 15,035,727
Active: 45,660
Spain 12,818,184
Cases: 12,818,184
Deaths: 108,111
Recovered: 12,243,647
Active: 466,426
Vietnam 10,749,324
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Deaths: 43,088
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Active: 991,073
Japan 9,418,900
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Deaths: 31,332
Recovered: 9,195,323
Active: 192,245
Argentina 9,394,326
Cases: 9,394,326
Deaths: 129,109
Recovered: 9,184,344
Active: 80,873
Australia 8,282,454
Cases: 8,282,454
Deaths: 10,083
Recovered: 7,961,184
Active: 311,187
Netherlands 8,203,996
Cases: 8,203,996
Deaths: 22,383
Recovered: 8,069,293
Active: 112,320
Iran 7,240,564
Cases: 7,240,564
Deaths: 141,404
Recovered: 7,063,479
Active: 35,681
Colombia 6,175,181
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Deaths: 140,070
Recovered: 5,984,546
Active: 50,565
Indonesia 6,095,351
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Deaths: 156,758
Recovered: 5,922,117
Active: 16,476
Mexico 6,093,835
Cases: 6,093,835
Deaths: 325,793
Recovered: 5,243,977
Active: 524,065
Poland 6,016,526
Cases: 6,016,526
Deaths: 116,435
Recovered: 5,335,690
Active: 564,401
Portugal 5,171,236
Cases: 5,171,236
Deaths: 24,149
Recovered: 4,816,665
Active: 330,422
Ukraine 5,018,019
Cases: 5,018,019
Deaths: 108,656
Recovered: 4,906,805
Active: 2,558
North Korea 4,757,620
Cases: 4,757,620
Deaths: 73
Recovered: 4,752,920
Active: 4,627
Malaysia 4,575,809
Cases: 4,575,809
Deaths: 35,784
Recovered: 4,510,643
Active: 29,382
Thailand 4,534,017
Cases: 4,534,017
Deaths: 30,739
Recovered: 4,478,846
Active: 24,432
Austria 4,465,315
Cases: 4,465,315
Deaths: 18,798
Recovered: 4,336,503
Active: 110,014
Israel 4,391,284
Cases: 4,391,284
Deaths: 10,984
Recovered: 4,264,371
Active: 115,929
Belgium 4,246,078
Cases: 4,246,078
Deaths: 31,918
Recovered: 4,129,327
Active: 84,833
Chile 4,030,267
Cases: 4,030,267
Deaths: 58,617
Recovered: 3,681,179
Active: 290,471

Effect of Employee Career Development and Performance of Lecturers in State Universities in South-East, Nigeria

Effect of Employee Career Development and Performance of Lecturers in State Universities in South-East, Nigeria

ABSTRACT

The study evaluated the effect of employee career development and performance of lecturers in state universities in South-East, Nigeria. The specific objectives were to: evaluate the effect of training on the frequency of research output of lectures in state universities in South-East, Nigeria, determine the effect of learning and development on the teaching competence of lecturers in state universities in South-East, Nigeria and examine the effect of workforce planning on the organizational skills of lecturers in state universities in South-East, Nigeria. The study was based on the effect of career development and performance of lecturers in state universities in South-East, Nigeria. The study will be limited to academic staff of five (5) state universities in the South East of Nigeria. The universities include:  Enugu State University of Science and Technology, Ebonyi State University, Imo State University, Anambra State University of Science and Technology, and Abia State University Uturu, Okigwe. The population of the study is three thousand two hundred and fifty (3250) which consists of selected lecturers both male and female of different carders in the selected universities. The study used the survey approach. The primary sources were personal interview and the administration of questionnaire.  The adequate sample size of 344 was determined using Freund and William’s statistic formula. 294 staff returned the questionnaire and accurately filled. That gave 86 percent response rate. The validity of the instrument was tested using content analysis and the result was good. The reliability was tested using the Pearson correlation coefficient (r). It gave a reliability co-efficient of 0.7 which was also good.  Data was presented and analyzed by a mean score (3.0 and above agreed while below 3.0 disagreed) and standard deviation using Sprint Likert Scale. The hypotheses were analyzed using Z – test statistics tool. The findings indicated that training had positive effect on the frequency of research output of lecturers in state universities in South-East, Nigeria Z (95, n = 294) = 7.611 < 9.652, p > 0.05. Learning and development had positive effect on the teaching competence of lecturers in state universities in South-East, Nigeria Z (95, n = 294) =   5.686 < 7.261, p > 0.05 and Workforce planning had positive effect on the organizational skills of lecturers in state  universities in South-East, Nigeria Z (95, = 294) = 7.494 < 9.652, p > 0.05.The study concluded that Training, Learning and development, and Workforce planning had positive effect on frequency of research output, organizational skills, teaching competence of lecturers in state universities in South-East, Nigeria.  The study Recommended among others that the institutions and organizations should endeavour to train their employees to enhance high level of research output and effective teaching in the schools.

Keywords: Employee Career Development, Performance of Lecturers, Training, Teaching Competence, Workforce Planning

Authorship
Ugwu, Felix Ikechukwu, PhD

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