Abstract: The purpose of this research was to establish the influence of motivational strategies on labour turnover in the multipurpose development training institutes in Kenya. The target population was 277 academic staff and 193 non-academic staff in the multipurpose development training institutes in Kenya. The total respondents were therefore 470 respondents. Therefore the sample size was 212 academic and non-academic staff in the multipurpose development training institutes in Kenya. The study used stratified random sampling to select the 124 academic staff and 88 nonacademic staff in the multipurpose development training institutes in Kenya. This method helped to eliminate bias. Data was collected using semi-structured questionnaires and drop and pick method. Quantitative data was analyzed using Statistical software (SPSS) by running frequencies, cross-tabulations correlation to generate various relationships, frequencies and comparisons. Qualitative data was transcribed and summarized to backup quantitative data. Data was analyzed using descriptive methods. Data was presented in form of figures, tables and charts. The findings showed that motivational strategies had a positive and significant effect on labour turnover with leadership style and career advancement having a more significant influence. The study further concluded that Leaders use motivational strategies to draw people towards achieving goals and to maximize the results in the organization. The study recommended that multipurpose development training institutes should enact policies like pay rise periodically to motivate employees in the multipurpose training institutions to retain them for longer duration.
Keywords: Motivational strategies, Labour turnover and multipurpose training institutions.
Title: INFLUENCE OF MOTIVATIONAL STRATEGIES ON LABOUR TURNOVER IN MULTIPURPOSE TRAINING INSTITUTES IN KENYA
Author: Katitia Peter Koikai, Dr. Susan Were, Dr. Rukia Atikiya
International Journal of Social Science and Humanities Research
ISSN 2348-3156 (Print), ISSN 2348-3164 (online)
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