Workplace Demands, Control, and Identification as Predictors of Job Satisfaction

These findings underscore the importance of integrating both job design and social identity factors to enhance job satisfaction and inform organizational strategies aimed at promoting employee well-being.

Authors

Institutions

Publication Details

Journal
European Journal of Investigation in Health Psychology and Education
Published
2026-01-05
DOI
https://doi.org/10.3390/ejihpe16010009
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

Workplace Demands, Control, and Identification as Predictors of Job Satisfaction

Pablo Garmendia, Giulia Foti, Gabriele Giorgi, Samuel Fernández-Salinero et al.
European Journal of Investigation in Health Psychology and Education
Job Satisfaction and Organizational Behavior
article

Workplace Demands, Control, and Identification as Predictors of Job Satisfaction

Pablo Garmendia, Giulia Foti, Gabriele Giorgi, Samuel Fernández-Salinero, Gabriela Topa
article en

Abstract

These findings underscore the importance of integrating both job design and social identity factors to enhance job satisfaction and inform organizational strategies aimed at promoting employee well-being.

European Journal of Investigation in Health Psychology and EducationVol. 16(1)
Universidad Nacional de Educación a Distancia (ES), Universidad Rey Juan Carlos (ES), European University of Rome (IT)
Decent work and economic growth
Openalex Percentile: Top 97%
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.