Perceived Organizational Commitment And Its Impact To The Turnover Intention: A Correlation Analysis
AbstractEmployees’ commitment is very important for an organization. Once the employees’ commitments reduce, the organization could face the difficulty in retaining the employees. The purpose of this study is to examine whether there is significant relationship between organizational commitment and turnover intention. The total size of the sample is 278 respondents from top level management to low level employees in G hotel, Gurney hotel, and Evergreen Laurel hotel, Penang, Malaysia. By using a correlation analysis, it is found that a relationship between organizational commitment and turnover intention is ranked high with negative correlation. Its mean perceived organizational commitment will give impact on turnover intention. Thus, when organizational commitment is high, turnover intention will be low and if organizational commitment is low, turnover intention will be high. This result is support by past researchers.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Global Research Agency in its journal Journal of Global Business and Economics.
Volume (Year): 4 (2012)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.globalresearch.com.my/journal.htm
Organizational Commitment; Turnover Intention; Human Resource Management;
Find related papers by JEL classification:
- F15 - International Economics - - Trade - - - Economic Integration
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (editor).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.