Recovery from work‐related effort: A meta‐analysis
DOI | http://doi.org/10.1002/job.2217 |
Published date | 01 March 2018 |
Author | Arnold B. Bakker,Andrew A. Bennett,James G. Field |
Date | 01 March 2018 |
RESEARCH ARTICLE
Recovery from work‐related effort: A meta‐analysis
Andrew A. Bennett
1
|Arnold B. Bakker
2
|James G. Field
3
1
Department of Management, Strome College
of Business, Old Dominion University, Norfolk,
Virginia, U.S.A.
2
Center of Excellence for Positive
Organizational Psychology, Erasmus
University Rotterdam, Rotterdam, The
Netherlands
3
Department of Management, College of
Business and Economics, West Virginia
University, Morgantown, West Virginia, U.S.A.
Correspondence
Andrew A. Bennett, Department of
Management, Strome College of Business, Old
Dominion University, 2033 Constant Hall,
Norfolk, Virginia 23529, U.S.A.
Email: aabennet@odu.edu
Summary
This meta‐analytic study examines the antecedents and outcomes of four recovery experiences:
psychological detachment, relaxation, mastery, and control. Using 299 effect sizes from 54
independent samples (N= 26,592), we extend theory by integrating recovery experiences into
the challenge–hindrance framework, creating a more comprehensive understanding of how both
after‐work recovery and work characteristics collectively relate to well‐being. The results of
meta‐analytic path estimates indicate that challenge demands have stronger negative
relationships with psychological detachment, relaxation, and control recovery experiences than
hindrance demands, and job resources have positive relationships with relaxation, mastery, and
control recovery experiences. Psychological detachment after work has a stronger negative
relationship with fatigue than relaxation or control experiences, whereas control experiences after
work have a stronger positive relationship with vigor than detachment or relaxation experiences.
Additionally, a temporally driven model with recovery experiences as a partial mediator explains
up to 62% more variance in outcomes (ΔR
2
= .12) beyond work characteristics models, implying
that both work characteristics and after‐work recovery play an important role in determining
employee well‐being.
KEYWORDS
challenge–hindrance framework, fatigue, meta‐analysis, recovery experiences, vigor
1|INTRODUCTION
Work requires energy and effort to accomplish required tasks. Both
work conditions and task demands can deplete psychological
resources (Meijman & Mulder, 1998). After expending energy over a
period, it is necessary to recover or replenish resources that were used
up at work (Zijlstra & Sonnentag, 2006). For many employees, the
recovery process occurs each day after work. This recovery process
plays a “crucial intervening role in the relationship between stressful
work characteristics on the one hand, and health, well‐being and
performance capability on the other hand”(Sonnentag & Geurts,
2009, p. 2). This study focuses on recovery experiences because “it is
not a specific activity per se that helps [one] to recover from job stress
but its underlying attributes”(Sonnentag & Fritz, 2007, p. 204). In
other words, recovery experiences are the mechanisms through which
recovery processes occur (Sonnentag & Geurts, 2009). In this way,
after‐work recovery experiences are considered a mediator between
work characteristics and well‐being outcomes (Kinnunen, Feldt,
Siltaloppi, & Sonnentag, 2011).
The four most researched recovery experiences are psychological
detachment, not thinking about work during nonwork time; relaxation,
having a low activation level; mastery, facing a positive challenge to
learn something new; and control, having a feeling of control over
nonwork time (Sonnentag & Fritz, 2007). Although there has been
considerable research about recovery over the past two decades,
several major questions remain unanswered: How do recovery
experiences fit into recent work characteristic and employee well‐
being models? Is one recovery experience more effective for improving
individual well‐being? Does researching recovery experiences add to
our understanding of well‐being in a practically significant way beyond
work characteristics models? The current study aims to address these
unanswered questions as well as additional questions surrounding
after‐work recovery experiences.
The past three decades of employee well‐being research have
yielded important contributions to the understanding of how work
and nonwork experiences relate to individual well‐being. Lee and
Ashforth (1996) meta‐analyzed the relationship between work
characteristics and burnout, finding that work demands have the
strongest correlation with emotional exhaustion. Several years later,
the Job Demands–Resources model (JD‐R; Demerouti, Bakker,
Nachreiner, & Schaufeli, 2001) proposed that job demands and job
resources are associated with burnout in different ways. Subsequent
Received: 27 March 2015 Revised: 18 June 2017 Accepted: 10 July 2017
DOI: 10.1002/job.2217
262 Copyright © 2017 John Wiley & Sons, Ltd. J Organ Behav. 2018;39:262–275.wileyonlinelibrary.com/journal/job
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