A study on factors that influence the turnover intention in the company of oil and gas industrial at Kuala Lumpur / Muhammad Hazim Syahmi Mohd Joned

Malaysia has been considered worldwide as a developing country; this factor has created a magnet for the investor worldwide to come to Malaysia. Due to that situation, it’s having created a lot of work opportunity to the citizen of Malaysia. This work opportunity can truly increase the level of life...

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Bibliographic Details
Main Author: Mohd Joned, Muhammad Hazim Syahmi
Format: Student Project
Language:English
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/62164/1/62164.pdf
https://ir.uitm.edu.my/id/eprint/62164/
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Summary:Malaysia has been considered worldwide as a developing country; this factor has created a magnet for the investor worldwide to come to Malaysia. Due to that situation, it’s having created a lot of work opportunity to the citizen of Malaysia. This work opportunity can truly increase the level of lifestyle for the citizen of Malaysia. With every good thing must have its bad side and the bad side for this situation is that too much work opportunity has created the turnover intention. For some people, their never consider the turnover intention as a problem to the management due the term called the recruitment. But still, the management must acknowledge that not every recruitment will bring the same result or performance as the previous employee. This can truly create a total loss to the management if the management is still egoistic and ignore this problem. To those who are consent regarding this problem, the sole purpose of this study is to identify the main factor that could influence or create the turnover intention. This is because the researcher has decided to make turnover intention as the dependent variable for this study. Furthermore, the researcher have divided the factor into three factor and there are • Work satisfaction • Work stress • Work relation. The data that have been collect using questionnaires are been evaluated using the computer software called the SSPS 20.0. The data itself have been measure by identified the regression and the reliability of each element in each variable. This is because to ensure that the data is accurate and valid to be acknowledge.