Job Satisfaction and Employee Performance at Finlay Company in Kericho County, Kenya
Korir, Charles Kiprono
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Workers in an association have dependably been key resources as their flight could have huge impact on the usage of the association's field-tested strategies and may in the long run reason a parallel decrease in profitability. In that capacity, worker fulfillment is vital in the long haul development and achievement of an organization. Worker fulfillment would guarantee consumer loyalty and compelling progression arranging. The profitability and proficiency of human asset rely on various powerful factors which run from individual components to authoritative strategies. Occupation fulfillment being one of the most essential elements which affect the efficiency of HR. Human asset is considered as a standout amongst the most critical resources in any association which fills in as a motor in the association for giving a feasible wellspring of vitality and administration conveyance. James Finlays Company Ltd employs over 5000 people with operations in Kenya, Sri Lanka and Argentina. This study therefore seeks to establish how job satisfaction influence employee performance at Finlays Kenya Limited. The objectives of this study will be to determine the influence of work environment, remuneration, promotions and training and development on employee performance at JFKL. The study will be anchored on Hertzberg’s Two Factor Theory, Locke’s Range of Affect Theory and the Job Characteristics Model. The study will use descriptive research design. The target population of this study comprises of permanent employees at James Finlays Kenya Limited who total to 641 ranging from engineers, accountants, high level managers, middle level managers and supervisors. Stratified random sampling will be used to select the sample size of 128 which is 20 percent of the total study population. The study will use both primary and secondary data. Primary data will be collected using a semi structured questionnaire administered to respondents while secondary data will be obtained from the firm’s annual reports, human resource records and finance records. Data collected will be analysed through descriptive and inferential statistics by the use of SPSS. Findings will be presented by use of tables, frequencies, percentages, means and standard deviation. The findings of the study will be useful to the manufacturing and service industry players.