ARS - 2008

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/166

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Author: search.filters.author.Chathurani, R.A.I.

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    Impact of the Job Stress on Employee Turnover Intention of Nonmanagerial Employees in the Garment Manufacturing Industry in Sri Lanka
    (University of Kelaniya, 2008) Chathurani, R.A.I.; Sangarandenya, Y.M.S.W.V.
    Today many organizations have confronted with the problem of higher level of employee turnover as it brings higher replacement cost to these companies. Specially analyzing the current situation of the Garment Manufacturing Industry (GMI), it is observed that the turnover intention of non-managerial employees is greater than its expected level and have become a major threat to their existence. The job stress is one of the major facts which tremendously influencing on this problem. This study mostly focused to identify the impact job stress (JS) on employee turnover intention (TI) of non-managerial employees in the garment manufacturing industry in Sri Lanka. The sample of employees (n=240) was randomly selected from 10 organizations in the GMI. Primary data were collected through a questionnaire and they were analyzed using Licket's five scale ranking method. This research is basically consisting of the characteristics of descriptive and explanatory study. Data relevant to goal conflict, task demand, work over-load, organizational structure, work relationships, self turnover intention and other's perceived turnover intention were analyzed in this study. It was found that there were about 67.5% higher level of employee stress and also about 75% higher level of turnover intention of non-managerial employees. These facts indicate the real situation in the GMI in terms of higher level of JS and higher level of TI thereto, which it confronted with. And it was found that there was a 0.89 higher positive eo-relationship between JS and employee Tl. Therefore, impact of job stress on non-managerial employee turnover intention of the considered organizations is very high and it has become a burning problem and enormous threat to the GMI of Sri Lanka. As the overall conclusion it can be concluded that there is a significant positive relationship between the job stress and the nonmanagerial employee turnover intention. Consequently, GMI should take steps to reduce job related stress of the NMES.
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    The Relationship Between Selected Social Demographic Factors and Job Satisfaction of Non Managerial Employees of Apparel Industry in Sri Lanka
    (University of Kelaniya, 2008) Chathurani, R.A.I.; Sangarandenya, Y.M.S.W.V.
    Understand the nature of Job Satisfaction (JS) is not easy and it is a complex concept which can convey a variety of meanings for different people. JS is more of an attitude connected to an internal state. It could be associated with a personal feeling of achievement either qualitative or quantitative. Therefore, the understanding of the nature of JS is very important. W hen the Sri Lankan apparel industry is taken, the JS of its employees is very low due to number of reasons. In the apparel industry, employee turnover and absenteeism are higher than the other industries. In general it has been identified that social demographic factors are mainly responsible for this situation. In this background, this study attempt to study which Social Demographic factors particularly influence the employee JS? . Thus, the study examines the factors that are more important in ensuring JS of non managerial employees of apparel industry in Sri Lanka while controlling some selected social demographic factors. (Age, Gender, Marital Status, Education Level, Salary Scale, Length of the Service, Number ofDependents). Data from 367 apparel industry workers working in 20 garment manufacturing firms were gathered. Primary data was based on questionnaires and summarized data were analyzed by using chi-square analysis and descriptive statistical methods. The researcher tested how significant these selected variables are on employee JS. The findings of this study indicate that the effect of Age, Gender, Education Level, Salary Scale, Length of the Service were significant on JS. But the effect of the Marital Status and Number of Dependents were not significant.