Job Satisfaction and Employee Turnover in Industrial Organizations in Nigeria

Employee turnover remains a persistent challenge for Nigerian industrial organizations, often resulting in significant operational disruptions and financial losses. This study investigates the specific dimensions of job satisfaction that most significantly predict employee turnover, with the aim of identifying key drivers of retention and organizational stability in major industrial sectors (health, manufacturing, education, hospitality, real estate, and banking). Anchored in established theories such as Herzberg’s two-factor theory and Adams's Equity Theory, the study explores both intrinsic and extrinsic factors including task significance, managerial recognition, compensation, and career advancement opportunities and how these interact to influence employee decisions to stay or leave. Drawing from empirical insights and contemporary scholarship, the research underscores the complex and subjective nature of job satisfaction, showing its strong correlation with turnover behavior. Through this exploration, the study contributes to the existing body of knowledge by offering a nuanced understanding of the satisfaction-turnover nexus and recommending targeted interventions for human resource professionals and policymakers. Ultimately, the findings are expected to inform strategic workforce planning, enhance job satisfaction, and reduce attrition rates in Nigeria’s industrial organizations.

Authors

Publication Details

Journal
African Journal of Social Sciences and Humanities Research
Published
2025-07-25
DOI
https://doi.org/10.52589/ajsshr-9csh0v7m
Primary Topic
Job Satisfaction and Organizational Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Job Satisfaction and Employee Turnover in Industrial Organizations in Nigeria

A. O. Ilodigwe
African Journal of Social Sciences and Humanities Research
Job Satisfaction and Organizational Behavior
article

Job Satisfaction and Employee Turnover in Industrial Organizations in Nigeria

A. O. Ilodigwe
article en

Abstract

Employee turnover remains a persistent challenge for Nigerian industrial organizations, often resulting in significant operational disruptions and financial losses. This study investigates the specific dimensions of job satisfaction that most significantly predict employee turnover, with the aim of identifying key drivers of retention and organizational stability in major industrial sectors (health, manufacturing, education, hospitality, real estate, and banking). Anchored in established theories such as Herzberg’s two-factor theory and Adams's Equity Theory, the study explores both intrinsic and extrinsic factors including task significance, managerial recognition, compensation, and career advancement opportunities and how these interact to influence employee decisions to stay or leave. Drawing from empirical insights and contemporary scholarship, the research underscores the complex and subjective nature of job satisfaction, showing its strong correlation with turnover behavior. Through this exploration, the study contributes to the existing body of knowledge by offering a nuanced understanding of the satisfaction-turnover nexus and recommending targeted interventions for human resource professionals and policymakers. Ultimately, the findings are expected to inform strategic workforce planning, enhance job satisfaction, and reduce attrition rates in Nigeria’s industrial organizations.

African Journal of Social Sciences and Humanities ResearchVol. 8(3)
Openalex Percentile: Top 77%
Job Satisfaction and Organizational Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.