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Danial Akhtar Sumbal
University of Education, Multan, Pakistan
Economics, Econometrics & Finance Social Sciences

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A Conceptual Framework of Relationship between Human Resource practices and Employee Turnover Intention. Danial Akhtar Sumbal
SEISENSE Journal of Management Vol. 1 No. 1 (2018): SEISENSE Journal of Management
Publisher : SEISENSE (PRIVATE) LIMITED

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.492 KB) | DOI: 10.5281/zenodo.1218180

Abstract

Turnover intention has attained substantial consideration in last few decades and has been comprehensively studied because of its deep implications towards today’s organization. Current study attempts to examine the relationship between Human Resource practices and turnover intentions by taking moderating effect of personality traits. This conceptual framework takes into account one dependent variable i.e. Turnover Intention and three independent variables i.e. Pay Satisfaction, Performance Appraisals, Career Management and two moderating variables i.e. Neuroticism, Extroversion.
Relationship between HR Practices & Employee Turnover Intentions by Taking Moderating Effect of Neuroticism and Extroversion.: Empirical Analysis of Selected Banks from Pakistan Danial Akhtar Sumbal
SEISENSE Journal of Management Vol. 1 No. 3 (2018): SEISENSE Journal of Management
Publisher : SEISENSE (PRIVATE) LIMITED

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.637 KB) | DOI: 10.5281/zenodo.1257911

Abstract

The study is an association study because the relationship between employee turnover intentions and HR practices is studied by taking moderation effect of neuroticism and extroversion. The hypotheses are tested by taking Banking Industry in context of Pakistan. This tested the relationship of different independent factors (HR practices) with employee turnover intentions, the major causes among them, and the magnifying effect of neuroticism and extroversion, and its significance thereon. Data is collected through self-administered questionnaires and is analyzed by using different analytical techniques in SPSS including regression analysis, principal component analysis and descriptive statistics.
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