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Perceived Organizational Commitment And Its Impact To The Turnover Intention: A Correlation Analysis

Author

Listed:
  • Ramesh Kumar

    (Faculty of Business & Finance, UTAR)

  • Koh Geok Eng

Abstract

Employees’ 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.

Suggested Citation

  • Ramesh Kumar & Koh Geok Eng, 2012. "Perceived Organizational Commitment And Its Impact To The Turnover Intention: A Correlation Analysis," Journal of Global Business and Economics, Global Research Agency, vol. 4(1), pages 40-49, January.
    • Handle: RePEc:grg:01biss:v:4:y:2012:i:1:p:40-49
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    Citations

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    Cited by:

    1. Oluwafemi & O. J., 2013. "Predictors Of Turnover Intention Among Employees In Nigeria’S Oil Industry," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 4(2).

    More about this item

    Keywords

    Organizational Commitment; Turnover Intention; Human Resource Management;
    All these keywords.

    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; Diffusion Processes
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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