Availability of Relevant Resources as a Predictor of Transfer of Learned Skills in State Corporations in Kenya

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Vincent Bosire Ochoi

Abstract

The purpose of the study is to establish the availability of relevant resources as a predictor of transfer of learned skills in State corporations in Kenya. The study adopted a descriptive study design and targeted employees of 202 State corporations in Kenya. From the 202 state corporations, the researcher obtained a sample of 20 state corporations, which form 10% of the list of State Corporations. The 20 sampled state corporations had a total 40,467 employees. The researcher applied Slovin's formula to determine the appropriate sample size and used proportionate stratified sampling to get a sample of 396 respondents for the study. Data was collected by use of structured questionnaires. Data was analyzed using SPSS Version 24 to generate descriptive and inferential statistics and presented with the help of frequency tables. Correlation analysis was used to test the direction of relationship between the independent variables and the dependent variables. Regression analysis was used to test whether the independent variables had any influence on the dependent variable. The findings indicated that there is a statistically significant relationship between availability of relevant resources and transfer of learned skills in State Corporations in Kenya. Based on the conclusion, the study recommended that managers in State corporations in Kenya should regularly check whether employees put in practice what they learn in training and regularly gives them feedback on how they are progressing in applying the skills learnt in training. The management should also help employees when they have problems in applying their new skills in the work place.

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How to Cite
Ochoi, V. B. (2022). Availability of Relevant Resources as a Predictor of Transfer of Learned Skills in State Corporations in Kenya. The International Journal of Business & Management, 10(6). https://doi.org/10.24940/theijbm/2022/v10/i6/BM2206-013