Job resources and thriving sequentially explain the effects of on- and off-the-job embeddedness on performance

Purpose The present research uses conservation of resources (COR) theory to test the indirect relationships between on-the-job (On-JE) and off-the-job (Off-JE) embeddedness and job performance via sequential mediation of job resources and thriving. Design/methodology/approach Three-wave survey data were collected from 340 employees and their supervisors (n = 111) from private and public organizations in India. Findings Data support a serial mediation framework, in which job resources and thriving sequentially mediate the positive relationships between On-JE and Off-JE and performance. Supplemental tests reveal that the indirect effect is stronger for On-JE. Although the results are consistent with theoretically-ordered indirect associations, they do not establish causality. Future research is needed to address the potential for bi-directional causation. Originality/value These findings extend prior COR-based explanations in two ways: first, they provide a more explicit test of resource-based mechanisms and processes linking On-JE and Off-JE with performance. Second, they support a sequential, “gain-spiral” process by which these mechanisms relate On-JE and Off-JE with performance. Our supplemental tests also suggest that On-JE may be more salient for the acquisition of job resources relative to Off-JE.

Authors

Institutions

Publication Details

Journal
Personnel Review
Published
2026-11-05
DOI
https://doi.org/10.1108/pr-02-2026-0186
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
NOV
article

Job resources and thriving sequentially explain the effects of on- and off-the-job embeddedness on performance

Brian K. Cooper, Tracey L. Shea, Kohyar Kiazad, Debjani Ghosh
Personnel Review
Job Satisfaction and Organizational Behavior
article

Job resources and thriving sequentially explain the effects of on- and off-the-job embeddedness on performance

Brian K. Cooper, Tracey L. Shea, Kohyar Kiazad, Debjani Ghosh
article en

Abstract

Purpose The present research uses conservation of resources (COR) theory to test the indirect relationships between on-the-job (On-JE) and off-the-job (Off-JE) embeddedness and job performance via sequential mediation of job resources and thriving. Design/methodology/approach Three-wave survey data were collected from 340 employees and their supervisors (n = 111) from private and public organizations in India. Findings Data support a serial mediation framework, in which job resources and thriving sequentially mediate the positive relationships between On-JE and Off-JE and performance. Supplemental tests reveal that the indirect effect is stronger for On-JE. Although the results are consistent with theoretically-ordered indirect associations, they do not establish causality. Future research is needed to address the potential for bi-directional causation. Originality/value These findings extend prior COR-based explanations in two ways: first, they provide a more explicit test of resource-based mechanisms and processes linking On-JE and Off-JE with performance. Second, they support a sequential, “gain-spiral” process by which these mechanisms relate On-JE and Off-JE with performance. Our supplemental tests also suggest that On-JE may be more salient for the acquisition of job resources relative to Off-JE.

Personnel Review
The University of Texas Rio Grande Valley (US), Monash University (AU)
Openalex Percentile: Top 8%
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.

Laika access coming soon