The Mediating Effect of Employee Engagement on the Relationship Between Organizational Commitment and Employee Turnover in Government Institutions

Sheila Mae N. Narvaez and Charles Muwe Mungule
Additional contact information
Sheila Mae N. Narvaez: Faculty of the Professional Schools, University of Mindanao, Davao City
Charles Muwe Mungule: Faculty of the Professional Schools, University of Mindanao, Davao City

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 11, 3253-3273

Abstract: This study aimed to learn the mediating effect of employee engagement between the relationship of organizational commitment and employee turnover of government employees. This investigation employed a non-experimental quantitative research design, utilizing the descriptive-correlational and mediation methodologies. To align with the research objectives, a standardized questionnaire was contextualized and administered. In compliance with study ethics, results were collected through a face-to-face survey. The study was conducted at the Municipality of Maitum wherein 353 government employees responded to participate. The study used these statistical tools to analyze the data, regression techniques, Sobel’s Z-test, Pearson’s R, descriptive statistics, and mediation and path analysis to look into causal relationships. Results exposed that level of organizational commitment; employee turnover and engagement are all high. Likewise, the result displays that there is a positive and significant relationship midst the independent and dependent variables of this study. The variables of this study employee engagement, organizational commitment, and employee turnover exposed a positive significant correlation. The study discovered through a series of regressions that the mediating effect of employee engagement displays partial significant relationship between organizational commitment and employee turnover as it shows the commitment of government employees to their organizations as shown on the regression weights models.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... sue-11/3253-3273.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... rnment-institutions/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:11:p:3253-3273

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().