EMPLOYEE VOICE MECHANISMS AND JOB COMMITMENT AMONG PUBLIC SECTOR WORKERS IN RIVERS STATE
Keywords:
Employee Voice Mechanisms; Job Commitment; Affective Commitment; Normative Commitment; Public Sector; Rivers State.Abstract
This study examines the differentiated effects of Employee Voice Mechanisms (EVM) on job
commitment among public sector workers in Rivers State, Nigeria, responding to persistent concerns
surrounding weak employee dedication, constrained upward communication, and rigid bureaucratic
hierarchies within the Nigerian public service. Anchored in Social Exchange Theory, the study
empirically disaggregates Employee Voice into Formal Voice (FV) and Informal Voice (IV) and
investigates their respective influences on Affective Commitment (AC) and Normative Commitment
(NC). A quantitative correlational survey design was adopted, with data collected from 330 nonmanagement employees drawn from selected public sector organizations in Rivers State and
analyzed using Multiple Regression techniques. The results demonstrate that Employee Voice
Mechanisms significantly predict job commitment, leading to the rejection of the null hypotheses (F
= 73.18, p < 0.01). More specifically, Informal Voice emerged as the strongest predictor of Affective
Commitment (β = 0.49), highlighting the centrality of interpersonal interactions, supervisory
openness, and trust-based communication in fostering emotional attachment to the organization,
while Formal Voice was identified as the stronger unique predictor of Normative Commitment (β =
0.25), indicating the importance of institutionalized participation structures in shaping employees’
sense of obligation and moral attachment. The study concludes that employee commitment within
the public sector is both relationally and structurally differentiated and recommends a dual
managerial approach that strengthens informal supervisory engagement while reforming formal
voice channels to enhance responsiveness, legitimacy, and the psychological contract within the
Nigerian public service.




