Factors leading to decline in worker's performance in power generation industry a case of Kamburu power station
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Date
2013-02-20
Authors
Njeru, Martin John
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Abstract
Theperformanceof workers in a company determines the success of the company in attaining
it's objectivesand more so the level of the profit its makes. This means that workers playa
major role in the company. This study aimed at surveying factors leading to decline in
workersperformancein power generation industry. A case study of Kamburu Power Station.
Thestudyspecifically sought to determine whether the level of training and development of
workerscan lead to decline of workers performance, whether organizational communication
in a companyaffects workers performance. It also helped to determine if the current reward
systemused can contribute to decline in workers performance. The study also aimed to
addressingwhether the current health and safety conditions are contributing in the decline of
workers performance at Kamburu Power Station. The literature review identified,
evaluated, synthesized and presented all relevant information from other sources e.g.
publication, text, journals, magazines and statements from experts. The guiding areas
were training and development, health and safety, organizational communication and
reward system. The study was a survey in design and it targeted the workers in Kamburu
PowerStation.There were 256 workers all in the department but only 180 were chosen by
random sampling to represent the whole population. In the study the main research
instrumentwas a questionnaire. The questionnaires contained both open and closed ended
questions.They were distributed to the sampled workers for filing out and later collected for
analysis.Both qualitative and quantitative methods of data analysis were used. Quantitative
approachprovidednumerical data which called for descriptive statistics. Measures of central
tendencyand percentage distribution tables, graphs and pie charts were used. In addition
qualitative analysis's of data enabled deeper and exhaustive explanation of research finding.
This was enabled by content analysis in which a classification system was developed to
recordthe information. This means that the frequency with which an idea appeared was
interpretedas measure of its importance, attendance or emphases.
Description
Business Administration, 54p. The HD 9502 .N53 2012
Keywords
Energy industries