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European Journal of Work and Organizational Psychology
ISSN: (Print) (Online) Journal homepage: https://www.tandfonline.com/loi/pewo20
The link between burnout and job performance: a
meta-analysis
Andreea Corbeanu, Dragoș Iliescu, Andrei Ion & Roxana Spînu
To cite this article: Andreea Corbeanu, Dragoș Iliescu, Andrei Ion & Roxana Spînu (2023): The
link between burnout and job performance: a meta-analysis, European Journal of Work and
Organizational Psychology, DOI: 10.1080/1359432X.2023.2209320
To link to this article: https://doi.org/10.1080/1359432X.2023.2209320
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The link between burnout and job performance: a meta-analysis
Andreea Corbeanu
a
, Dragoș Iliescu
a,b
, Andrei Ion
a
and Roxana Spînu
a
a
Department of Psychology and Cognitive Science, University of Bucharest, Bucuresti, Romania;
b
Department of Industrial Psychology, Stellenbosch
University, Stellenbosch, South Africa
ABSTRACT
This study addresses the link between burnout and job performance. Following a systematic literature
review, 45 studies were selected based on the inclusion criteria: (1) set in an organizational environment,
(2) including a measure of burnout, (3) including an objective or subjective measure of performance and
(4) oering information concerning the link between burnout and job performance. A random-eects
model yielded meta-analytic correlations of −.17 for exhaustion (k = 18019 aggregated participants), −.16
for depersonalization (k = 8561 aggregated participants) and −.23 for inecacy (k = 7281 aggregated
participants) and job performance. Four potential moderators were examined: the type of (1) perfor-
mance measured, (2) performance report, (3) burnout measure, and (4) participant occupation. Our
analyses indicate that the burnout measure exerted a moderating eect, but only with respect to
exhaustion (r = −.19 for MBI; −.10 for OLBI), but not for depersonalization. Participant occupation was
a signicant moderator for exhaustion (r =-.21 for corporate roles; −.22 for customer-facing roles),
depersonalization (r = −.28 for corporate roles; −.31 for customer-facing roles), and inecacy (r = −.41
for corporate roles; −.23 for customer-facing roles). The type of performance measure and the type of
performance report did not exert any signicant moderating eects.
ARTICLE HISTORY
Received 22 August 2021
Accepted 26 April 2023
KEYWORDS
Burnout; exhaustion;
depersonalization; in-role
performance, extra-role
performance; job
performance
Burnout has been associated with a wide range of negative
consequences, and numerous physical or psychological health
problems (Hakanen & Schaufeli, 2012; Shirom, 2005; W. Schaufeli
& Enzmann, 1998), and is today more prevalent than ever. In its
broadest denition, it refers to a syndrome of chronic exhaustion
and negative attitudes towards work (Freudenberger, 1974), and
encompasses three core dimensions: exhaustion, depersonaliza-
tion, and inecacy (W. B. Schaufeli et al., 2009).
Recently, a survey of about 7,500 full-time workers revealed
that nearly two-thirds of employees are confronted with burn-
out at work, with 23% of respondents stating they felt burnt out
at work very often or always, and an additional 44% reporting
feeling burnt out sometimes (Wigert & Agrawal, 2018). Burnout
has recently been acknowledged in the 11
th
Revision of the
International Classication of Diseases (ICD-11), as an occupa-
tional phenomenon (World Health Organization [WHO], 2019).
Evidence suggests that burned-out employees are signicantly
more likely to experience depression, anxiety, sleep distur-
bances or various forms of physical health complaints
(Peterson et al., 2008). Apart from individual health outcomes,
burnout has been linked with various job-relevant aspects, such
as job performance (e.g., Bakker & Heuven, 2006; Wright &
Bonett, 1997), safety (e.g., Nahrgang et al., 2011), absenteeism
(e.g., W. B. Schaufeli et al., 2009), or team-level performance
(Bakker et al., 2008). The associated organizational costs are not
to be ignored: it is estimated that an organization spends
$3,400 (or 34%) for every $10,000 of salary with disengaged
employees (Wigert & Agrawal, 2018), while healthcare costs of
job-related burnout are thought to be somewhere between
$125 and $190 billion in the US alone (Wigert & Agrawal, 2018).
Although burnout has been linked with a plethora of nega-
tive outcomes in the world of work, its negative impact on job
performance has been the central topic of a relatively large
number of empirical investigations (Brandes et al., 2008;
Halbesleben & Buckley, 2004; W. B. Schaufeli & Buunk, 2004).
Considering the large volume of empirical investigations and
their relatively non-overlapping conclusions, it becomes
imperative to conduct a review to shed more light on the
nature of the relationships between burnout and job perfor-
mance. In terms of the inconsistencies in the burnout-job per-
formance relationship (Swider & Zimmerman, 2010) while
burnout has been expected to negatively relate to job perfor-
mance, results from empirical studies are equivocal (Bakker
et al., 2003; Firth & Britton, 1989; Halbesleben & Buckley, 2004;
Riolli & Savicki, 2006). Some studies report the expected nega-
tive relationship (e.g., Parker & Kulik, 1995; Wright &
Cropanzano, 1998), but others show no relationship (e.g., Abd
Razak et al., 2019) or even positive correlations (e.g., Dodson
et al., 2019; Keijsers et al., 1995; Randall & Scott, 1988).
Consequently, considering the partly conicting results of the
previous investigations focusing on the burnout-job perfor-
mance link, on top of their potentially confusing implications
for both theory and practice, we address this gap through
a systematic review and meta-analysis of the burnout – job
performance relationship. It includes the three dimensions of
burnout, dierent types of job performance, as well as several
moderators, which will be discussed below.
CONTACT Dragoș Iliescu dragos.iliescu@fpse.unibuc.ro Department of Psychology and Cognitive Science, University of Bucharest, Bucuresti, Romania
Supplemental data for this article can be accessed online at https://doi.org/10.1080/1359432X.2023.2209320.
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY
https://doi.org/10.1080/1359432X.2023.2209320
© 2023 Informa UK Limited, trading as Taylor & Francis
The overarching purpose of the present article is to re-examine
the current state of aairs on the burnout-job performance rela-
tionship. To this end, we pursue two specic objectives. The rst
objective and contribution this paper brings is building on pre-
vious meta-analytic ndings (Swider & Zimmerman, 2010; Taris,
2006) and updating the current understanding of the burnout-job
performance relationship. This is achieved through
a comprehensive review of empirical investigations, focusing on
the specic relationships between the three core components of
burnout (exhaustion, depersonalization, and inecacy) and job
performance. Although the review conducted by Taris (2006)
retrieved signicant associations between depersonalization and
job performance and concluded that the other dimensions have
little relevance with respect to job performance, revisiting these
ndings based on the research evidence accumulated over the
past 15 years is warranted for several reasons. First, the previous
conclusions were derived from the relatively scarce number of
empirical investigations available at the respective moment,
greatly limiting the generalizability of the ndings. More speci-
cally, the median sample size for the 16 studies included in the
review is 71.5 participants, a sample size that is generally consid-
ered insucient for an accurate detection of small to medium
eect sizes. To exemplify, the relationship between depersonaliza-
tion and in-role performance was estimated based on two empiri-
cal investigations having N = 146 and N = 73, respectively. Second,
the generalizability of the previous review is hampered not only
by the relatively underpowered studies, but also by the sample
composition. For example, one-third of the studies included
nurses or medical personnel, while the study with the largest
sample size (Priebe et al., 2005) included 580 patients enrolled in
mental illness treatment programs, further limiting our under-
standing in this domain. Taking into account all these limitations,
Taris (2006) concluded that the relationships between various
burnout dimension and performance is inconclusive.
Finally, the second objective is to expand the work con-
ducted by previous meta-analyses (e.g., Collins, 2000; Swider
& Zimmerman, 2010; Taris, 2006; Weng, 2005) by investigating
the potential moderators of the burnout-job performance rela-
tionship. An in-depth understanding of the burnout-job perfor-
mance relationship should also account for potential
moderating eects, and we focus on four of these, namely: (1)
the type of performance report (i.e., self- vs. other rating), (2)
the type of performance measured (i.e., in-role vs extra role), (3)
the type of burnout report (i.e., MBI vs. OLBI), (4) the participant
occupation (customer facing vs. non-customer facing roles).
Taken together, identifying these potential moderating
eects of the four variables outlined above, enables us to
understand whether burnout’s negative impact on job perfor-
mance generalizes across the types of job performance, the
sources of job performance ratings, occupations, and burnout
measures. In what follows, we present our arguments related to
the relevance of each of the selected moderators individually,
as well as the contributions they bring to the scientic
literature.
Type of performance report. Studying this moderator con-
tributes to the literature by identifying whether burnout is
typically associated with a reduction in self-perceived job per-
formance or, alternatively, a decrease in those aspects of job
performance that are visible to others. Meta-analytic ndings
(Harris & Schauabroek, 1988) revealed a small to moderate (r
= .35) correlation between self-reports (i.e., subjective mea-
sures) and supervisor ratings (i.e., objective reports), which is
the lowest reported association between dierent sources of
performance assessment, suggesting there are indeed dier-
ences in the perception of job performance between the two
mentioned stakeholders. Given that the two reect rather dif-
ferent aspects of job performance (Andrews et al., 2006), unco-
vering these potentially dierential eects could lead to
a better understanding of whether burned-out employees
tend to engage in reducing the others-observed vs. self-
observed aspects of job performance, behaviours that could
have dierent underlying mechanisms.
Type of performance measured. Some evidence (e.g.,
Petitta & Vecchione, 2011; Yavas et al., 2013) found that there
is a dierent link between burnout components and in-role
versus extra-role performance, respectively. Task performance
(also known as in-role performance) refers to a formal require-
ment of one’s job and includes behaviours and tasks that are
directly related to the strategic aims of the organization
(Motowidlo & Van Scotter, 1994). Contextual (or extra-role)
performance encompasses the sum of discretionary behaviours
employees engage in outside the formal scope of their roles,
which still have an overall benecial impact across the psycho-
logical and social environment of the workplace (Sonnentag &
Frese, 2005). As there seems to be no consensus on the dier-
ential associations between the dierent dimensions of job
performance and burnout, we contribute to the literature by
identifying whether the potential negative eects of burnout
over job performance are conned, as it can be expected, to the
formal performance requirements, as reected by in-role per-
formance measures, or whether they extend to those discre-
tionary behaviours as well.
Type of burnout report. It is relevant to get a deeper look
into the inuence dierent measures have over job perfor-
mance, as they are often based on dierent conceptualizations
of the same construct. By examining which measure more
closely relates to which dimensions of performance, we may
draw a number of inferences around the way in which nuances
of burnout – for instance, the physical versus emotional aspects
which are covered in the OLBI (Halbesleben & Demerouti, 2005)
vs. the MBI (Maslach & Jackson, 1981), respectively – inuence
job performance.
Participant occupation. As a moderator, this variable will
reveal whether there are any dierences between customer-
facing and non-customer facing roles. It has been suggested in
the literature that those employees who are dealing with
higher emotional requirements in their job are more vulnerable
towards developing burnout (Hochschild, 1979). This could be
more so the case of customer-facing roles, where employees
might face irate customers, have no solution to customer pro-
blems, be time-pressed to give accurate responses or have to
caretake a number of patients, all the while outwardly exhibit-
ing positive emotions (Bhave & Glomb, 2016). Then, on
a general note, the relationship between burnout and job
performance does not generalize widely across jobs, profes-
sions and/or other performance criteria besides the ones con-
sidered in Taris’ review (Taris, 2006). As acknowledged by the
author himself, this single meta-analytical review drew on
2A. CORBEANU ET AL.
empirical studies employing rather small sample sizes and
included mainly professions related to teaching and caregiving,
severely hampering the generalizability of the burnout-job
performance relationship.
Beyond the theoretical implications that our study may
have, the current paper might also be particularly relevant for
organizational practice. To this day, the majority of burnout
research is still centred around self-reports and the work char-
acteristics that the employees nd themselves into. However,
certain work aspects (such as job control, performance feed-
back, or caseload) could to a greater extent be inuenced by
the organization (Day et al., 2017; McCarthy & Garavan, 2001).
Yet, burnout as a psychological phenomenon will only seriously
appear on the management’s agenda when it provably plays
a part in poor business performance (W. B. Schaufeli, 2003). Our
paper addresses this gap by directly investigating the link
between burnout and employee performance.
To conclude, throughout the past fteen years, a lot of ink
has been spilled on the phenomenon of burnout and how its
consequences impact job performance. The topic is of great
interest to both scholars and organizations, and as such an
update on this topic is warranted.
The construct of burnout
Burnout is a syndrome of chronic exhaustion and negative
attitudes towards work. In one of its early denitions
(Freudenberger, 1974) it was described as a work-related con-
dition of mental and physical exhaustion, in which individuals
lose their dedication and involvement in their jobs. The two
core dimensions of burnout that are present in its various
denitions (e.g., Demerouti et al., 2003; Maslach et al., 2001;
Shirom and Melamed, 2006) are emotional exhaustion (or sim-
ply exhaustion), and depersonalization (or cynicism). Some
authors (e.g., W. B. Schaufeli et al., 2009) also include inecacy
(or reduced personal accomplishment) as a main dimension of
the construct. Exhaustion is a feeling of loss of energy due to
continuous exposure to highly demanding working conditions,
which leaves one feeling too drained to address anything or
anyone (Maslach et al., 2008). Depersonalization is a state of
personal detachment from one’s work, accompanied by irrit-
ability, inappropriate attitudes and withdrawal (Maslach et al.,
2001), and inecacy represents the interpersonal and self-
evaluative dimensions of burnout (Leiter & Maslach, 2016),
and refers to a sense of lack of accomplishments, which is
often associated with low productivity and an inability to
cope (Maslach et al., 2001).
Two conceptual frameworks, and subsequently two instru-
ments for the measurement of burnout are particularly well
established in the literature. The rst (Maslach & Jackson, 1981)
views burnout as a multidimensional construct, based on
a three-factor structure: exhaustion, depersonalization, and
reduced personal accomplishment. In this conceptualization,
burnout is thought to be a direct consequence of job stressors,
i.e., appears when a person must manage a high workload,
conicting or ambiguous demands, or is pressed for time
(Bakker & Demerouti, 2007; Guthier et al., 2020). The other
model, put forth by Bakker and Demerouti (2017) is largely
similar to the rst, with the major dierence of having only
two main components, exhaustion and disengagement/deper-
sonalization (without it including inecacy). The authors
stretch the exhaustion dimension to include cognitive and
physical exhaustion, alongside emotional exhaustion (which is
already the main focus of the MBI), which aids the application
of the measure to workers engaged in physical work, as well as
those whose role mainly require information processing
(Bakker & Demerouti, 2007).
The underlying mechanisms that could lead to burnout have
been described within various theoretical frameworks. Two of
the most inuential burnout-relevant models are the
Conservation of Resources Theory (COR; Hobfoll, 1989) and
the Job Demands-Resources Theory (JD-R; Bakker &
Demerouti, 2007). COR posits that individuals are fundamen-
tally driven to build, keep, and protect resources they nd
valuable. These can range from social to material, or energetic
resources, and take the shape of objects, environmental condi-
tions, or energetic contexts that help people reach their goals.
According to this theory, burnout is the consequence of either
losing one’s resources, or an inability to replenish them. For an
in-depth review of the COR theory and its tenets, we refer to
Hobfoll and Shirom, (2000). The other dominant framework is
the JD-R Model (Bakker & Demerouti, 2007), which asserts that
every role has a particular set of attributes that are viewed in
terms of job demands and job resources. Within the JD-R
framework, burnout is driven by exposure to high levels of
job demands and a lack of job resources, to mitigate it.
Burnout and job performance
The idea that employee emotionality impacts job performance
has been studied extensively (e.g., Cho et al., 2016; Goodwin
et al., 2011; Reizer et al., 2019). As a syndrome of chronic
exhaustion and negative attitudes towards work, burnout is
expected to have a generally negative impact on job-relevant
outcomes, including, but not limited to job performance. The
mechanisms through which burnout can lead to impaired job
performance can also be explained through the COR Theory
(Hobfoll, 1989). As mentioned above, within this framework,
burnout is seen as a strain that manifests in those contexts
where an actual or perceived loss of resources occurs. As
employees look to either protect their existing resources and
acquire new ones (Hobfoll, 2001), if those are lost, in peril, or
simply overcome by demands, workers will likely experience
strain, subsequently leading to employees becoming emotion-
ally exhausted, disengaged and with low inecacy (Harris et al.,
2009), which are all associated with impaired job performance.
Extant research suggests not only burnout as a global con-
struct has detrimental eects on job performance, but also its
various facets. The exhaustion dimension might impact indivi-
duals on an emotional, and also physical level. Firstly, in the
case of emotional exhaustion, individuals are not keen to rein-
vest their decient resources, yet they also defensively attempt
to guard their remaining ones (Hobfoll, 2001). It is possible that,
in the face of a dearth of resources, workers will experience
a decrease in both their in-role and extra-role performance
records, as follows: rst, emotional exhaustion might leave an
individual too depleted to properly engage in and complete
their work tasks, and thus submit sloppy or incomplete work
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 3
(Boekhorst et al., 2017), a direct reection of decient in-role
performance; second, employees might have just enough
energy left to complete only the essential tasks or aspects of
their roles, or only those tasks that had previously yielded the
best return (Baltes, 1997) and consequently there could be
a decrease in their extra-role performance. Secondly, the phy-
sical aspect of exhaustion may have a negative impact at the
level of brain circuitry, more specically the hippocampus and
the prefrontal cortex (Arnsten, 2009; Radley et al., 2004). Burned
out employees reported impairments in aspects such as non-
verbal memory, auditory and visual attention (Sandström et al.,
2005), sustained attention (van der Linden et al., 2005) and
cognitive speed (Österberg, Karlson, & Hansen, 2009) as well
as decits in working memory (Miyake et al., 2001), dual task
performance (Monsell & Driver, 2000), or control of thought and
behaviour (Braver & Barch, 2002). As everyday work tasks often
imply attentional and cognitive demands, diminished execu-
tive control may cause decreases in both in-role and extra-role
performance.
Moreover, depersonalization is thought to be an initial
defensive mechanism, acting as an emotional buer, in the
form of “detached concern” (Maslach et al., 2001). As indivi-
duals become less and less engaged in (i.e., emotionally buf-
fered from) their work, their in-role performance might
decrease. The same goes for their extra-role performance,
which might be subject to the workers’ detachment, as they
are less interested in performing any behaviours which are not
directly specied by their role requirements.
Finally, people experiencing inecacy tend to progressively
lose faith in their ability to do what is required of them, which
may lead to a self-imposed verdict of failure (Leiter & Maslach,
2016). In turn, this could become a downward spiral (Wright &
Cropanzano, 2004) and translate into reduced in-role perfor-
mance, as individuals might stop performing their duties as
well as before. Concerning extra role performance, inecacy
could also lead to impairments on this front. Specically, the
lack of self-trust brought about by the feeling of reduced
personal accomplishment could lead to decreased motivation
to engage in constructive behaviours outside of what is speci-
cally listed as the job requirements (Wright & Cropanzano,
2004).
Considering that theoretical arguments propose a negative
relationship between burnout and job performance, yet the
ndings on this topic are non-systematic, we put the following
hypothesis forth:
H1(a, b, c): All three dimensions of burnout (exhaustion,
depersonalization, inecacy) will be negatively associated
with job performance.
Potential moderators of the link between burnout
and job performance
Type of performance. Researchers have only rather recently
started to distinguish between in-role and extra-role perfor-
mance in their burnout studies (Bakker et al., 2004). In-role or
task performance consists of the behaviours and results that are
directly connected to the organization’s objectives (Motowidlo
& Van Scotter, 1994), maintaining the organization running at
an eective functioning pace (Behrman & Perreault, 1984).
However, in most contemporary work environments perfor-
mance is also heavily reliant upon social interactions, employ-
ees needing to conform to social norms and collaborate
companionably with their peers (Hogan & Holland, 2003). Extra-
role, or contextual performance, is comprised of discretionary
behaviours that uphold the eective functioning of individuals,
teams and the organization, but are not directly related to any
formally established goal (Borman & Motowidlo, 1997; Organ,
1997; P. M. Podsako & MacKenzie, 1994) - all those organiza-
tional citizenship behaviours (OCB) employees engage in out-
side the formal constraints of their jobs, with an overall positive
impact on the social and psychological environment of their
organization (Morrison, 1994; Sonnentag & Frese, 2005).
In direct contrast to in-role performance – a formal require-
ment, intensely monitored in many organizations – extra-role
performance is not directly linked to one’s job-related rewards
and penalties. What is more, individuals may be unable to
decrease their quota or quality of work-output as an eect of
their exhaustion or their feelings of reduced personal accom-
plishment. In lieu, they might decide to suppress discretionary
behaviours, which would not typically result in explicit reper-
cussions (Schnake, 1991). Given this, we expect the relationship
between the exhaustion and inecacy dimensions of burnout
and job performance to be stronger for extra-role performance.
H2a: The negative relationship between exhaustion/ine-
cacy and job performance will be stronger for extra-role per-
formance, compared to in-role performance.
On the other hand, depersonalization is a state of hostile
detachment from one’s work, accompanied by irritability, inap-
propriate attitudes, and withdrawal (Maslach et al., 2001). It
could have a direct and evident impact on the way individuals
carry out the tasks they’re assigned, resulting in lower in-role
performance. Additionally, depersonalized employees might
be at risk of losing their interest in the organization, becoming
more irascible and losing their trust in management and peers
(W. Schaufeli & Enzmann, 1998), setting the stage for lower
levels of in-role performance. Consequently, we expect that:
H2b: The negative relationship between depersonalization
and job performance will be stronger for in-role performance,
compared to extra-role performance.
Type of performance report. Subjective measures are the
most popular way of assessing job performance, and often
considered more feasible, compared to objective measures
(Dai et al., 2018; Wall et al., 2004). Despite this, the consensus
is that this type of data is sensitive to the inuence of
a variety of biasing factors (N. P. Podsako et al., 2013),
such as social desirability eects (Kuncel & Tellegen, 2009;
Paulhus, 1991) or acquiescent responding (Weijters et al.,
2013). Objective measures of job performance are not free
of criticism either. For instance, an inherent problem with
4A. CORBEANU ET AL.
objective ratings may be the inability to distinguish between
meaningful uctuation caused by environmental change, and
pure transient error (Sturman et al., 2005). This is especially
true in higher-complexity jobs, where work outcomes are
a result of multiple independent work processes (Bol &
Smith, 2011). It has also been argued that, as long as the
measures are reliable and valid, how the concepts were
measured is irrelevant (Kompier, 2005).
We included both subjective and objective measures in the
current analysis and have tested whether there are signicant
dierences in the relationship between burnout and job per-
formance, when the latter was measured through subjective or
objective reports. We anticipate that subjective measures will
have a stronger association with burnout, as participants’ per-
ceptions of their level of performance might be more strongly
correlated with their levels of burnout, as opposed to objective
measures, which are not as strongly related to participants’ self-
assessments (Pransky et al., 2006). Based on the above explana-
tion, we advance the following hypothesis:
H3: Subjective measures of job performance, as opposed to
objective measures, will be more strongly associated with burn-
out, in each of its three dimensions.
Type of burnout report. The two most widely used self-report
measures of burnout are the Maslach Burnout Inventory (MBI;
Maslach & Jackson, 1981) and the Oldenburg Burnout Inventory
(OLBI; Halbesleben & Demerouti, 2005). Though built on similar
conceptual models, the two measures address burnout slightly
dierently. The MBI (Maslach & Jackson, 1981) was designed
around a three-factor structure, with emotional exhaustion,
depersonalization, and personal accomplishment as subscales,
whereas the OLBI (Halbesleben & Demerouti, 2005) consists of
only two dimensions, exhaustion, and depersonalization. These
are similar and correlate highly with the emotional exhaustion
and depersonalization dimensions of the MBI (Buckley et al.,
2014), however, there are a number of dierences.
Within the OLBI (Halbesleben & Demerouti, 2005), exhaustion
is dened as a consequence of intensive physical, aective, and
cognitive strain (i.e., as a long-term consequence to prolonged
exposure to certain job demands), and also includes the physical
and cognitive facets of the construct, as opposed to the MBI
(Maslach & Jackson, 1981), which is focused rather on the emo-
tional aspect of exhaustion. Similarly, depersonalization (i.e., dis-
engagement) as conceptualized in the OLBI refers to distancing
oneself from one’s work, fostering negative attitudes towards the
work content, or towards the job in general (Demerouti et al.,
2003; Shirom, 2005). Whereas the MBI depersonalization scale
includes emotions that have a direct reference to recipients (e.g.,
becoming impersonal, callous, hardening), the OLBI disengage-
ment (i.e., depersonalization) scale refers to emotions towards
the work task (e.g., uninteresting, no longer challenging, but also
“disgusting”), as well as to a devaluation and mechanical execu-
tion of work (Buckley et al., 2014). Similarities also exist between
the OLBI disengagement (i.e., depersonalization) scale and the
MBI depersonalization scale; however, the items in the former are
more restricted in their content, mainly referring to a lack of
interest in the job, as well as one nding no meaning in their
job (Halbesleben & Demerouti, 2005). Finally, the OLBI includes
both negatively and positively worded items, representing not
only one but both ends of the continuum.
We expect a higher association between burnout measured
with the OLBI and job performance, because the OLBI is based
on a broader conceptualization of the phenomenon and cap-
tures a deeper spectrum of burnout. Based on the above, we
introduce the following hypotheses:
H4: When measured with the OLBI, there will be a stronger
association between burnout and job performance, for both
exhaustion and depersonalization, as compared to the MBI.
Participant occupation. Several systematic reviews and
meta-analytic studies investigating determinants of burnout
highlighted the inuence of individual characteristics or
context factors, such as the occupation of the participants,
in the case of the relationship between burnout and various
outcomes. On one hand, ndings seem to report that client-
facing occupations are more prone to burnout, as analyses
of data obtained among teachers yielded stronger burnout-
personal accomplishment associations (Brown, 2012) com-
pared to those conducted among workers of other occupa-
tions (Alarcon et al., 2009).
On the other hand, there is also evidence of the contrary:
a meta-analytic study examining the relationship between
burnout and secondary traumatic stress for employees indir-
ectly exposed to traumatic material (Lee et al., 2013) yielded
weaker associations for those directly exposed to trauma at
work. Similarly, a paper that studied the correlates of physician
burnout suggested that the link between burnout and
a number of mental health outcomes diered across special-
ities, depending on whether the doctors saw their patients in
a hospital vs. non-hospital settings (Cieslak et al., 2014), in the
direction of weaker associations for those directly exposed to
trauma.
Given these ndings, there are grounds for believing
that participant profession plays a systematic role in the
strength of the relationship between burnout and job
performance, though the evidence is mixed. We argue
that the strongest association will be for customer-facing
roles, due to the nature of the tasks one has to carry out.
In these types of jobs, the quality of stakeholder interac-
tions plays a direct role in the measure of one’s level of
performance (Wang & Sengupta, 2016). When suering
from burnout, it is likely that one might act more disagree-
ably towards customers, or might disregard them, leading
to a less sympathetic and more contemptuous attitude
towards them (McTiernan and McDonald, 2014). Yet, it is
often a requirement for people working in frontline roles
to exhibit positive emotions (such as smiles or friendli-
ness), while suppressing their negative ones, an occurrence
known as emotional labour (Hochschild, 1979). Within the
scientic literature, notably strong correlations were
observed between this phenomenon and burnout, particu-
larly with the exhaustion component (e.g., Goldberg &
Grandey, 2007; Mikolajczak et al., 2007). Therefore, our
expected hypothesis is as follows:
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 5
H5: In the case of customer-facing roles, as opposed to non-
customer facing roles, there will be a stronger negative associa-
tion between job performance and burnout.
Method
Search strategy
Two complementary approaches were used to identify relevant
strategies. For testing the link between burnout and job per-
formance, a systematic review of the burnout and job perfor-
mance literature was carried out.
The search string used was: “(burnout) OR (exhaustion) OR
(depersonalization) OR (cynicism) OR (inecacy) OR (reduced
personal accomplishment) OR (employee burnout) OR (chronic
exhaustion) AND (job performance) OR (extra-role perfor-
mance) OR (in-role performance) OR (contextual performance)
OR (task performance) OR (work performance)”. The construct
of organizational citizenship behaviour (OCB) was not explicitly
included in the search string. This is because we consider it
distinct from extra-role performance (Vigoda-Gadot, 2006), and
as such expect the majority of studies using OCB to operatio-
nalize the construct according to its own denition, and not
that of extra-role performance. In the infrequent cases where
a paper using OCB did follow the denition listed here, it is
usually easily pinpointed, as it is very likely to also contain any
of the synonyms to OCB (i.e., performance, extra-role perfor-
mance, contextual performance) somewhere in the text or in
the abstract. The following databases were searched, between
2019 and the beginning of 2021: PsychINFO, Web of
Knowledge, ProQuest, Scopus, ScienceDirect.
Additionally, an ancestor search was conducted, to examine
the references of inuential articles on the burnout-job perfor-
mance topic (i.e., Taris, 2006), in search for additional papers to
include in the meta-analysis. Databases were also searched for
unpublished research (i.e., dissertations), in order to minimize
the potential impact of publication bias.
A number of 126 articles were downloaded from the
searched databases, after the online title and abstract screen-
ing process. Twenty-four duplicates were identied and elimi-
nated, and a nal total of 102 studies were retrieved. Twelve
articles were further excluded after an in-depth abstract screen-
ing process. The 90 remaining papers were further analysed
against the set inclusion and exclusion criteria (see below).
Overall, 45 articles were excluded during this step. The 45
remaining papers were included in the nal analysis.
Selection of studies
The main researcher performed the database search, and the
initial screening of titles and abstracts. The selected articles
were individually read by the main researcher and an indepen-
dent rater, against the inclusion criteria, to narrow down eligi-
ble studies. Potential disagreements were openly discussed
between the main researcher and the independent rater, until
consensus was reached, and the argument resolved.
Coding
Coding was done independently by the main researcher and
the fourth author. Data was coded in an excel spreadsheet, and
the information collected was as follows: the main aim of the
study; sample size; sample characteristics (e.g., the profession
of the participants), study design, the burnout measure, the
measure of performance (i.e., objective or subjective perfor-
mance), the type of performance measured (i.e., in-role, extra-
role, or a global score), as well as the correlation coecients
between each burnout dimension and job performance.
Participant occupation was initially grouped and analysed start-
ing with three broad categories, namely customer-facing, non-
customer-facing and mixed roles. Based on the information
reported in the papers, samples were further grouped into
corporate roles, customer facing roles, roles in education,
healthcare, law enforcement, aviation and sales. To a degree,
this was also possible because some studies reported dierent
associations between burnout and job performance, as they
used several dierent samples (e.g., Halbesleben & Bowler,
2007). Potential disagreements were discussed and resolved
by consensus between the two raters. Where additional infor-
mation was required, all eorts were made to nd and include
the missing information. Finally, the overall inter-rater consis-
tency was calculated using the Kappa statistic (Cohen, 1960),
and was Kappa = .77 (p < .000).
Inclusion/Exclusion criteria
The following four criteria were used for study inclusion. Firstly,
the study should have been conducted in an organizational
environment. All studies targeting students have been
excluded, however we did include samples of working stu-
dents, as long as the research was conducted in an organiza-
tional environment. Application of this criterion led to the
exclusion of a number of 2 studies.
Secondly, studies should have reported the level of burnout,
either as a global score, or any of its core facets. Application of
this criterion led to the exclusion of 5 studies.
Thirdly, papers should have included a measure of job
performance, irrespective of an objective or a self-report
measure. As such, a number of 17 studies were excluded
from the analysis. For studies that reported both an objec-
tive and a self-report measure, both were considered in the
analysis. We also included studies targeting either in-role
performance, extra-role performance, or both. The construct
of extra-role performance is, in some cases, interchanged
with OCB, whereas other authors view these as two distinct
constructs (Vigoda-Gadot, 2006). While there is an overlap in
conceptualizations, traditional OCB includes those self-
initiated, authentic, and spontaneous behaviours that arise
from the benevolence of the individual (Organ, 1997), while
extra-role performance more readily refers to informal work
activities, that are outside of one’s actual job description
(Kwantes et al., 2008; Vigoda-Gadot, 2006). In the current
meta-analysis, we only included studies that reported the
relationship between OCB and burnout if it reected the
denition listed in our manuscript. No constraints were
placed on the type of measure used to determine the
6A. CORBEANU ET AL.
level of performance, as we found that the performance
measures were too diverse, and it would have led to
a considerable reduction of the available research pool.
A similar reasoning was applied to justify the decision to
include both studies reporting individual and group mea-
sures in the analysis.
Fourth, the papers should have included information
regarding the strength of the association between burnout
and job performance (even though we included studies that
did not primarily target this relationship), e.g., in the form of
a correlation matrix. Application of this criterion led to the
exclusion of 21 studies.
Considering all the above-mentioned inclusion criteria, this
meta-analysis excluded 45 papers (see Figure 1).
Data analysis
Individual study data was pooled, and eect sizes were
computed for each study, based on the sample and corre-
lation values. The results were converted into Fisher’s Z,
due to the non-normal distribution of Pearson’s r. Multiple
eect sizes for individual studies were accounted for by
using robust variation estimation. The Z’s (in other words,
the standardized eect sizes) were then weighted with the
respective sample size and used to create a weighted
mean Z. We conducted several random-eects meta-
analyses, using the metafor package in R (Viechtbauer,
2010), as well as with the Comprehensive Meta-Analysis
software (version 2.2.047), for each of the three burnout
components and job performance. The random eects
model assumes that data from the included papers
comes from populations with a distinct eect size.
Further, the heterogeneity of the obtained eect sizes
was assessed using a Q-test and I2 values (Borenstein
et al., 2011). The Q-statistic represents the weighted sum
of squared dierences between the observed eect and
the weighted average eect, and points to a true hetero-
geneity in eect studies, beyond random error. I
2
is
a measure for the proportion of observed variance, which
reects in real dierences in eect size. Unlike Q, it is not
a measure that is sensitive to the number of studies
included in the analysis (Borenstein et al., 2011). We con-
sidered a signicant Q-test result and an I
2
value greater or
equal to 75% to be meaningful. For results above this
Records idenfied through
database searching
(n = 126)
ScreeningIncluded Eligibility Iden!fica!on
Addional records idenfied
through other sources
(n = 0 )
Records a!er duplicates removed
(n = 102)
Records screened
(n = 102)
Records excluded
(n = 12)
Full-text arcles assessed
for eligibility
(n = 90)
Full-text arcles excluded,
with reasons*
(n = 45)
Studies included in
qualitave synthesis
(n =45)
Studies included in
quantave synthesis
(meta-analysis)
(n = 45)
Figure 1. PRISMA flow diagram for the study selection process. Note. * Studies were rejected based on the following criteria: (1) studies had to be set in an
organizational environment, (2) to include a measure of burnout, (3) an objective or subjective measure of performance and (4) to offer information concerning the link
between burnout and job performance, irrespective of whether it was the main aim of the study or not.
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 7
threshold, we examined the dispersion of the true eect
size, as well as its determinants. To this end, we performed
moderator analyses.
We also employed a one-study-removed sensitivity analysis
for detecting any potential outliers, or any study majorly inu-
encing the obtained results. Lastly, we examined funnel plots to
determine the existence of publication bias.
Methodological quality assessment
The quality of the included studies was assessed using the AXIS
tool (Downes et al., 2016). This critical appraisal tool addresses
the quality of cross-sectional studies, and includes reports on
the study quality, as well as the study risk of bias. The ratings
scale consists of 20 items, targeting study quality in objectives,
design, selection process, internal and external validity, con-
founded variables, the reporting of the results and the quality
of the discussion.
Results
Characteristics of the studies
The analysis included 45 studies, with a total of 52 unique
samples provided, the number of participants ranging from
44 to 1145 (with a total N of 12,504 participants). Seven studies
aimed to directly study the link between burnout and job
performance, while each of the studies reported at least an
exhaustion measure of burnout. The majority of the studies (k
= 31studies; 65.95%) employed the Maslach Burnout Inventory
to measure burnout, while Oldenburg Burnout Inventory was
used in 10 papers (21.27%). About 13% of the included papers
used another measure of burnout. The burnout scales had
acceptable reliability in all cases, with most studies reporting
alphas of .80 or higher. In terms of job performance, 2 studies
reported a single, global measure of performance, while the
rest measured in-role and extra-role performance separately.
About 57% of the studies (k = 27) reported a subjective mea-
sure of performance, while 20 studies used an objective
measure.
Methodological quality
The analysis reveals predominantly negative scores for the
items that assess the process of participant selection, as well
as confounded variables and response rates. This does not
aect the statistical results per se, however there is a strong
possibility that all the fundamental errors observed in the
primary studies may be carried forward in the meta-analysis
and pose a threat to the validity of conclusions. In addition, we
mention that all studies included in this analysis were cross-
sectional, which does constrict the possibility to draw strong
causal conclusions from the results. The full results are available
in the online supplementary material.
Overall eect size
The results of the random model analysis on the link between
the exhaustion component of burnout and job performance,
on 41 independent samples, resulted in a signicant negative
relationship (r = −.17; p < .00), with 95% CI ranging from −.17 to
−.24. The Q-statistic of the overall eect was signicant, with
a large amount of heterogeneity (Q (55) = 1095.40, l
2
= 94.97; p
< .00). The results of the analysis conducted on the relationship
between depersonalization and job performance, on 21 inde-
pendent samples, display a signicant negative association (r =
−.16, p < .00), the 95% CI ranging from −.26 to −.05; Q (27) =
652.00, p < .00, l
2
= 95.85. Lastly, an analysis performed on 19
independent samples, yielded a negative relationship (r = −.23,
p = .009), between inecacy and job performance, 95% CI =
[−.38; −.06] (Q (26) = 1392.26, p < .00, l
2
= 90.82). We concluded
that the available data supported H1(a, b, c).
Moderator eects
A high degree of heterogeneity was identied within all burn-
out dimensions, which signals the existence of potential impor-
tant moderators. Consequently, we tested whether the type of
performance measured (i.e., in-role, extra role, global), the type
of performance report (i.e., subjective or objective measures),
burnout measure (i.e., MBI, OLBI or adapted measures), or the
participant occupation (i.e., corporate roles, customer facing
roles, roles in education, healthcare, law enforcement, aviation,
sales) were categorical moderators on the strength of the
relationship between burnout and job performance, using
a mixed-eect model, where the eect sizes are taken as
a random-eects variable. Further, following a qualitative
assessment of the studies across the dierent levels of all 4
moderator variables, we determined that they are relatively
equal across comparison groups. The eects are discussed
below. Detailed information regarding the results of the mod-
erator analysis for each burnout dimension is available in Tables
1, 2 and 3.
Type of performance measured
The type of performance measured did not moderate the
correlation between job performance and either exhaustion
[Q(2) = 1.24, p = .53), depersonalization [Q(2) = 5.37, p = .06], or
inecacy [Q(2) = .29, p = .86].
Type of performance report
The type of performance report did not moderate the relation-
ship between job performance and burnout either, with an
observed Q(1) = 0.24, p = .61 for inecacy, Q(1) = 1.86, p = .17
for depersonalization, and Q(1) = .81, p = .36 for exhaustion.
Burnout measure
The burnout measure seemed to be a moderator in the case of
exhaustion [Q(3) = 15.87, p = .001], with stronger associations
for the MBI, which does not support our initial hypothesis (i.e.,
H4). The burnout measure was not a signicant moderator for
depersonalization [Q(2) = .33, p = .84].
8A. CORBEANU ET AL.
Participant occupation
Finally, data suggests that participant occupation is
a signicant moderator for all burnout dimensions [Q(10) =
35.87, p = .00 for exhaustion, Q(2) = 19.73, p = .003 for ine-
cacy]. For the inecacy dimension of burnout, the stronger
negative relationship seems to be for corporate roles.
Participant occupation was also a signicant moderator deper-
sonalization [Q(4) = 5.02, p = .028]. The results partially sup-
ported our hypothesis (i.e., H5).
Publication bias
In order to investigate whether publication bias was present,
we generated and examined funnel plots, as well as computed
the trim-and-ll procedure (Duval & Tweedie, 2000), with
a random eects model. Publication bias analyses were per-
formed for all three burnout dimensions.
For exhaustion, the trim-and-ll procedure estimated 12 stu-
dies, with eect sizes lower than the mean, which did not sig-
nicantly inuence the mean, r = −.07, 95% CI = [−.15; .00], Q =
1853.27. This is consistent with the funnel plot, which displayed
asymmetry, suggesting missing studies, with eect sizes over the
mean, and the possibility of obtaining under-inated estimates
regarding the true dierences (see Figure 2).
For depersonalization, the trim-and-ll estimated 2 studies,
with an eect size below the mean, which did not signicantly
inuence the mean, r = −.268, 95% CI = [−.35; −.17], Q = 186.87.
This is in accordance with the funnel plot, which displayed
asymmetry, suggesting missing studies with eect sizes
above or below the mean, and the possibility of obtaining
slightly inated estimates in regard to the true dierences
(see Figure 3).
In regard to inecacy, the trim-and-ll procedure estimated
no study with eects above or below the mean, which could
modify the estimate of the true dierences (see Figure 4).
Table 1. Moderation analysis with categorical variables for exhaustion and job performance.
Moderator Moderator Level N r CI p Q p
Type of performance extra-role 15 −.21 [−.36; −.05] .009 1.24 .538
global 5 −.08 [−.25; .10] .382
in-role 36 −.16 [−.24; −.07] .000
Type of performance report objective 26 −.20 [−.32; −.08] .001 0.81 .368
subjective 30 −.14 [−.22; −.05] .002
Type of burnout report MBI/ 44 −.19 [−.27; −.10] .000 15.87 .001
OLBI 11 −.10 [−.24; .05] .187
Participant occupation corporate roles 22 −.21 [−.33; −.09] .000 35.87 .000
customer facing roles 14 −.22 [−.32; −.11] .000
roles in education 5 .06 [−.43; .53] .801
roles in healthcare 6 −.26 [−.42; −.07] .006
roles in law enforcement 4 −.25 [−.62; .21] .290
roles aviation 1 .40 [−.01; .09] .176
roles in sales 3 −.13 [−.28; .03] .117
Table 2. Moderation analysis with categorical variables for depersonalization and job performance.
Moderator Moderator Level N r CI p Q p
Type of performance extra-role 3 −.35 [−.51; −.18] .000 5.37 .068
global 3 .01 [.24; .27] .916
in-role 10 −.25 [−.36; -,13] .000
Type of performance report objective 12 −.80 [−.27; .12] .434 1.86 .174
subjective 16 −.23 [−.32; −.13] .000
Type of burnout report MBI 22 −.12 [−.29; −.03] .015 0.33 .848
OLBI 5 −.13 [−.25; −.00] .036
Participant occupation corporate roles 5 −.28 [−.39; −.16] .000 5.02 .028
customer facing roles 5 −.31 [−.50; −.10] .003
roles in education 1 −.17 [−.30; −.03] .016
roles in healthcare 3 −.01 [−.27; .25] .920
roles in sales 2 −.20 [−.29; −.10] .000
Table 3. Moderation analysis with categorical variables for inefficacy and job performance.
Moderator Moderator Level N r CI p Q p
Type of performance extra-role 8 −.28 [−.56; .04] .089 0.29 .862
global 5 −.27 [−.42; .11] .239
in-role 14 −.22 [−.44; .03] .084
Type of performance report objective 12 −.18 [−.44; .10] .016 0.24 .619
subjective 15 −.27 [−.46; −.05] .008
Participant occupation corporate roles 10 −.41 [−.55; −.26] .000 19.73 .003
customer facing roles 6 −.23 [−.59; .21] .303
roles in education 5 −.13 [−.21; .46] .448
roles in healthcare 1 −.12 [−.10; .33] .287
roles in law enforcement 1 −.27 [−.44; −.07] .006
roles in sales 3 −.28 [−.05; −.07] .120
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 9
Overall, the obtained results point towards no or very little
evidence of publication bias in the included sample, in either of
the three burnout dimensions examined.
Discussion
The overarching objective of our investigation was to shed
light onto the burnout-job performance relationship. We
expanded the current scientic understanding in this
domain in several ways: (1) we drew from larger datasets,
increasing the generalizability of our ndings; (2) we illu-
strated how burnout might impact dierent aspects of job
performance, such as in-role or extra-role performance,
which that were not previously investigated; (3) we
explored whether various moderators could signicantly
alter the relationship between burnout and job perfor-
mance, while (4) considering dierent measures for burn-
out. The current meta-analysis revealed that there is
a negative, small to medium association between all
three dimensions of burnout (namely exhaustion, deperso-
nalization, and inecacy) and job performance. This rela-
tionship is moderated (i.e., strengthened) by the type of
burnout measure and by the participant occupation.
Further analyses revealed that neither the type of perfor-
mance measured (i.e., in-role vs. extra-role), nor the type of
performance report (i.e., self- vs. other-report) were asso-
ciated with the eects of burnout on job performance.
These ndings expand the previous conclusions (Taris,
2006), as we obtained signicant, albeit small-medium
associations between job performance and the
Figure 2. Funnel plot for publication bias for the exhaustion dimension of burnout and job performance, on 41 independent samples.
Figure 3. Funnel plot for publication bias for the depersonalization dimension of burnout and job performance, on 21 independent samples.
10 A. CORBEANU ET AL.
depersonalization and inecacy dimensions of burnout,
whereas the results of Taris (2006) were inconclusive.
Theoretical contribution
Our analyses describe negative and signicant, albeit small,
associations between all three dimensions of burnout and job
performance. Exhaustion represents the core dimension of
burnout, and the fact that at high levels it is associated with
impaired performance is consistent with the scientic literature
on the topic (Aboagye et al., 2019; Maslach et al., 2001).
Contrary to previous, more ambiguous, conclusions (Taris,
2006), our data suggests that both depersonalization and inef-
cacy have a clear, negative relationship with job performance.
From an empirical standpoint, our ndings consolidate the
previously established strong link between exhaustion and job
performance (Taris, 2006), and support the importance of the
other two components of burnout namely inecacy and
depersonalization, whereas previous literature on the topic
reported mixed, inconsistent results (Taris, 2006). One of the
main ndings of this paper, which was consistent across per-
formance criteria and burnout reports, suggests that deperso-
nalization is a central component of burnout, its role more
important than previously believed. As an “emotional buer”
(Maslach et al., 2001), depersonalization can be a last resort for
employees, in protecting themselves from the demands of their
job. Based on the JD-R framework (Bakker & Demerouti, 2007),
burnout is the product of increased job demands, without the
necessary resources to mitigate them. Furthermore, the litera-
ture suggests that depersonalization includes a pervasive lack
of motivation, while exhaustion points towards a lack of energy
to approach or full one’s work tasks. In this context, our
ndings further consolidate the idea that both lack of energy
and lack of motivation play a critical role in decreasing job
performance, as they are both associated with not performing
one’s work duties.
Focusing on all three burnout dimensions may add to the
completeness of the scientic literature. It has been noted that
there are signicantly more studies examining exhaustion and
work exposure factors, compared to papers concerning deper-
sonalization and inecacy (Aronsson et al., 2017). Our inclusion
of all three dimensions of burnout – and the relationships
revealed for all three – may be relevant in the discussion
around the propensity to reduce burnout to merely its exhaus-
tion component in clinical diagnosis (Aronsson et al., 2017).
Moderators of the burnout-job performance eects. Two
interesting moderator eects were detected by our analysis:
participant occupation and the measure of burnout used. The
other moderators that were tested yielded negative eects:
contrary to our expectations, neither the type of performance
report (i.e., self- vs. other-report), nor the type of performance
measured (i.e., in- vs. extra-role) produced any signicant mod-
erating eects. The former is somewhat inconsistent with the
scientic literature, where the consensus was that subjective
measures of job performance provide ample opportunity for
bias (Taris, 2006).
First, the results of the moderation analyses suggested that
participant occupation was a signicant moderator in all three
burnout dimensions. For the inecacy dimension of burnout,
the negative association was stronger for corporate roles, com-
pared to customer facing roles. This implies that, in the case of
individuals working in corporate roles, employees suering
from inecacy are more likely to reach a decline in their levels
of performance, compared to those in customer facing roles. As
inecacy refers to one’s feelings of decreased personal accom-
plishment, the nding suggests that this feeling is more
strongly correlated with one’s corporate role. For the other
two burnout dimensions (exhaustion and depersonalization),
the dierences in strength of association with performance
between customer-facing roles and corporate roles is very
small. This nding is consistent with most of the scientic
literature (e.g., Cordes & Dougherty, 1993; W. B. Schaufeli &
Buunk, 2004), where it is believed that employees who are
forced to juggle the opposing expectations of their roles and
of their customers’ will experience strain, and ultimately, burn-
out (Mulki et al., 2008). In contrast, those employees who are
Figure 4. Funnel plot for publication bias for the inefficacy dimension of burnout and job performance, on 19 independent samples.
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 11
not exposed to customer demands as often may have more
opportunities to gain resources and escape this negative spiral,
and thus still keep their levels of performance up. Our ndings
add to the literature by establishing stronger associations
between occupation, burnout, and job performance, where
previous evidence was mixed (e.g., Brown, 2012; Lee et al.,
2013).
Second, the measure of burnout (i.e., MBI vs. OLBI) signi-
cantly moderated the relationship for exhaustion, but not for
depersonalization (the inecacy component is not measured
by both these measures, so it was excluded from this compar-
ison). These ndings can be viewed through the dierent con-
ceptualizations of the exhaustion component of burnout in the
two measures. Though built on two similar conceptual models,
all three MBI (Maslach & Jackson, 1981) subscales are worded in
the same direction (the items in the personal accomplishment
scale are exclusively worded positively, while those in the
exhaustion and depersonalization scales, negatively), and
solely focus on the aective components of exhaustion. In
contrast, the OLBI (Halbesleben & Demerouti, 2005) includes
a balance of positively and negatively worded questions, as
well as items for the cognitive and physical components of
exhaustion. Several explanations could account for this signi-
cant moderating eect. First, the two instruments measure
exhaustion dierently: the OLBI items tap into three facets of
exhaustion (physical, mental, and emotional), while the MBI
items capture only the aective elements of burnout. This
becomes particularly relevant for explaining dierences in job
performance for those occupations or roles where actually
performing physical tasks is not a core component of perfor-
mance, such as the jobs included in our review. Second, the fact
that a higher association was observed for the MBI suggests
that the aective component of exhaustion might be more
relevant in accounting for between-individual dierences in
job performance. This nding signies that the emotional
aspect of exhaustion may be more relevant for one’s perfor-
mance. In other words, an employee’s perceived level of emo-
tional exhaustion, rather than the perception of physical
exhaustion might have higher importance in explaining dier-
ences in job performance. Third, the actual number of studies
and the dierences in sample sizes might be an alternative
explanation for this eect, the MBI measure being employed
in 22 dierent studies, while the OLBI in only ve empirical
investigations. If replicated, this nding can lead to a shift in
how researchers and practitioners approach burnout, by recog-
nizing the paramount importance of an employee’s emotions
on job performance. One caveat we feel compelled to reveal in
this instance is that, due to the occupational composition of the
current sample, a possibility is that this nding may only be
applicable to emotionally draining roles and thus may not be as
generalizable as initially presumed. In the case of depersonali-
zation, the measure was not a signicant moderator, as the MBI
and OLBI are highly similar in their conceptualization of this
component of burnout.
We additionally feel the need to somewhat qualify one of
our conclusions: one potential explanation for the rejection of
Hypothesis 4 may relate to the consistency of the sample in
terms of occupations. The current meta-analysis included
mostly employees who are exposed to high levels of emotional
demands. As such, it can be stated that for them, exhaustion is
particularly relevant. In this case, our conclusion that the nd-
ings give more weight to the denition of burnout proposed by
the MBI over that proposed by the OLBI should be viewed with
caution.
Finally, as mentioned above, neither the type of perfor-
mance report (i.e., self- vs. other-report), nor the type of perfor-
mance measured (i.e., in- vs. extra-role) were signicant
moderators of the burnout-job performance relationship.
Similar results were reported in the meta-analysis conducted
by Taris (2006). Moreover, this nding is in line with previous
research showing that employees experiencing disengage-
ment and exhaustion (essential components of burnout) are
less likely to achieve their formal work/role requirements (in-
role performance) while also being less likely to engage in
behaviours typically associated with extra-role performance
(e.g., Demerouti et al., 2014; Palenzuela et al., 2019). Recent
investigations suggest that burnout-related lower cognitive
functioning mediated the burnout-job performance relation-
ship (Lemonaki et al., 2021). Moreover, cognitive failures aect-
ing task performance were signicantly associated with peer-
rated contextual performance (Lemonaki et al., 2021), unveiling
one of the possible explanations for this negative association.
We interpret these ndings through the explanatory lenses of
the JD-R framework (Bakker & Demerouti, 2007). JD-R describes
two basic psychological processes: (1) a stress process, where
a high level of job demands lead to negative individual (e.g.,
poor health) or organizational outcomes (e.g., poor perfor-
mance or absenteeism) via exhaustion, and (2) a motivational
process where depersonalization mediates the relationship
between lack of resources and individual and organizational
outcomes (Demerouti et al., 2001). Consequently, our ndings
are not surprising if interpreted through the lens of the JD-R
framework (Demerouti et al., 2001), more specically, both
exhaustion and depersonalization are expected to have
a detrimental eect over in-role and extra-role performance,
but via the two pathways outlined above.
Practical contributions
Our ndings also suggest valuable practical recommendations.
Consistent with the common ndings reported in the burnout
literature, our study conrmed that client facing professions,
such as frontline ocers or call centre employees are more
impacted by burnout, although the syndrome is omnipresent
in all occupations–- from telecom employees in Pakistan
(Shaukat et al., 2017) to human resource workers in Germany
(Baier et al., 2018) and managers all around (Lundqvist et al.,
2013). Given the importance of the aective component burn-
out has over job performance, especially in the current context
of the ever-increasing prevalence of this phenomenon
(Shanafelt et al., 2015), we highlight an imperative need to re-
assess all the individual and organizational factors that lead
employees to become emotionally exhausted. Among risk fac-
tors, scientic literature includes high job demands, low con-
trol, no supportive relations and an imbalance between one’s
invested eort and the quality of the reaped rewards
(Oosterholt et al., 2015).
12 A. CORBEANU ET AL.
The perceived and emotional aspect of burnout seems to
weigh stronger in employees’ level of performance, as is sug-
gested by the fact that, when measured with the MBI, burnout
is more strongly associated with job performance, especially
when it comes to exhaustion. One important practical implica-
tion for this lies in the choice of measures used to assess
burnout. Our ndings bring clarity into the nuances of both
MBI and OLBI, and in which cases the selection of one versus
the other is preferable, both in academic and organizational
settings. As explained in the moderators’ section, the MBI bet-
ter captures the aective aspect of burnout, with its items
worded to reect respondent’s intensity of emotions and per-
spectives towards themselves and that which inuences them
directly, whereas OLBI views burnout as a product of assiduous
physical, aective, and cognitive exertion.
The fact that, in our paper, inecacy seemed to yield the
strongest association with job performance, implies that any
organizational interventions designed to reduce burnout (and
subsequently increase job performance) should primarily
address inecacy, as a key aspect of this construct. However,
one of the reasons inecacy is more strongly related to perfor-
mance could be because for many theorists it is considered an
outcome, or a performance indicator (e.g., Lepold et al., 2018),
as opposed to a core dimension of burnout, in which case it
may play a lesser role than initially stated. Furthermore, it’s
possible that organizations may start to view inecacy as the
potential source of certain attitudes and behaviours, such as
a lack of belief in one’s abilities, and to point their employees
towards an intervention tailored to alleviate it. In other words,
rather than dismissing aloof or demotivated employees or
attributing their conduct to counterproductive work beha-
viours and sanctioning them, burnout can be recognized as
an important factor at play, and behavioural symptoms may be
approached in this context.
General limitations and guidelines for future research
As with any systematic review and meta-analysis, this paper has
also carried over some limitations from the primary studies that
were included. Firstly, the primary studies used in our analysis
employed cross-sectional designs; causal inferences cannot
therefore be drawn from these ndings. As noted, our study
conceptually explores a unidirectional eect, from burnout to
performance, although the reverse could also be applicable. It
is plausible, for instance, that poor performance might contri-
bute to increased feelings of lack of personal accomplishment,
or more pronounced behaviours in the spectrum of cynicism
(Kim et al., 2017). In a related manner, another limitation of the
cross-sectional studies included lies in their inability to detect
delayed consequences of burnout, such as the subtle, gradual
erosion of job performance over time, rather than at any given
moment. It seems, based on the currently available literature on
the topic of burnout and job performance, that research in this
area is still relatively weak. Additionally, the quality of the
research designs could be improved, for example by including
higher numbers of participants and prioritizing more powerful
research designs. As a conclusion, we strongly call for more
experimental and longitudinal studies, which are needed in
order to gain a deeper insight into the signicance and
strength of the eects of burnout and job performance.
Another important research tangent here could be focused
on identifying specic burnout thresholds, beyond which per-
formance is seriously impaired.
A second limitation of the current analysis is the fact that we
did not correct for reliability in either the burnout variables, or
in job performance. This may produce a downward bias in the
observed eect sizes, compared to their population counter-
parts (Raju & Brand, 2003; Wiernik & Dahlke, 2020). Finally,
separately coding the relationships among the dierent burn-
out components and job performance criteria would widen our
understanding of the burnout-job performance relationship,
potentially having important practical and theoretical implica-
tions. Consequently, future investigations should estimate the
unique eects of each burnout dimension on various job per-
formance criteria, establishing whether professional inecacy
truly is a core component of burnout. Future meta-analyses
could focus on this aspect as well.
To conclude, the current paper reviews and presents an
updated overview of the available literature on burnout and
job performance. Despite its methodological limitations, its
clear strengths lie in systematically analysing a large number of
independent samples and drawing clear conclusions on the
topic. The two main theoretical ndings we highlighted are the
centrality of the aective component of burnout, and the impor-
tance of depersonalization, in relation to job performance.
Overall, our ndings suggest that the link between burnout
and performance is a solid topic for future research and
a target for intervention which could have benets for increasing
well-being and productivity among workers.
Disclosure statement
No potential conict of interest was reported by the authors.
ORCID
Dragoș Iliescu http://orcid.org/0000-0002-5958-3920
References
Abd Razak, A. Z. A., Yeop Yunus, N. K. Y. Y., Samsudin, N., Ab Wahid, H., &
Wahid, Z. W. (2019). Social support moderating eect between
work-family conict and health and stress of working students in UPSI.
International Business Education Journal, 12, 25–38. https://doi.org/10.
37134/ibej.vol12.3.2019
Aboagye, E., Björklund, C., Gustafsson, K., Hagberg, J., Aronsson, G.,
Marklund, S., Leineweber, C., & Bergström, G. (2019). Exhaustion and
impaired work performance in the workplace: Associations with presen-
teeism and absenteeism. Journal of Occupational and Environmental
Medicine, 61(11), 438–444. https://doi.org/10.1097/JOM.
0000000000001701
Alarcon, G., Eschleman, K. J., & Bowling, N. A. (2009). Relationships between
personality variables and burnout: A meta-analysis. Work & Stress, 23(3),
244–263. https://doi.org/10.1080/02678370903282600
Andrews, R., Boyne, G. A., & Walker, R. M. (2006). Subjective and objective
measures of organizational performance: An empirical exploration.
Public Service Performance: Perspectives on Measurement and
Management, 14–34. https://doi.org/10.1017/CBO9780511488511.002
Arnsten, A. F. (2009). Stress signalling pathways that impair prefrontal
cortex structure and function. Nature reviews. Neuroscience, 10(6), 410–
422. https://doi.org/10.1038/nrn2648
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 13
Aronsson, G., Theorell, T., Grape, T., Hammarström, A., Hogstedt, C.,
Marteinsdottir, I., & Hall, C. (2017). A systematic review including meta-
analysis of work environment and burnout symptoms. BMC Public
Health, 17, 1–13.
*Ashill, N. J., Rod, M., & Gibbs, T. (2015). Coping with stress: A study of retail
banking service workers in Russia. Journal of Retailing and Consumer
Services, 23, 58–69. https://doi.org/10.1016/j.jretconser.2014.12.006
*Ashill, N. J., Rod, M., Thirkell, P., Carruthers, J., & Mukherjee, A. (2009). Job
resourcefulness, symptoms of burnout and service recovery perfor-
mance: An examination of call centre frontline employees. The Journal
of Services Marketing, 23(5), 338–350. https://doi.org/10.1108/
08876040910973440
*Babakus, E., Yavas, U., & Ashill, N. J. (2009). The role of customer orientation
as a moderator of the job demand–burnout–performance relationship:
A surface-level trait perspective. Journal of Retailing, 85(4), 480–492.
https://doi.org/10.1016/j.jretai.2009.07.001
*Baier, N., Roth, K., Felgner, S., & Henschke, C. (2018, August 20). Burnout
and safety outcomes - a cross-sectional nationwide survey of
EMS-workers in Germany. BMC Emergency Medicine, 18(1). https://doi.
org/10.1186/s12873-018-0177-2 .
Bakker, A. B., & Demerouti, E. (2007). The job demands‐resources model:
State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://
doi.org/10.1108/02683940710733115
Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking
stock and looking forward. Journal of Occupational Health Psychology, 22
(3), 273–285. https://doi.org/10.1037/ocp0000056
Bakker, A. B., Demerouti, E., de Boer, E., & Schaufeli, W. B. (2003). Job
demands and job resources as predictors of absence duration and
frequency. Journal of Vocational Behavior, 62(2), 341–356. https://doi.
org/10.1016/S0001-8791(02)00030-1
*Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. I. (2014). Burnout and work
engagement: The JD–R approach. Annual Review of Organizational
Psychology and Organizational Behavior, 1(1), 389–411. https://doi.org/
10.1146/annurev-orgpsych-031413-091235
Bakker, A. B., Demerouti, E., & Verbeke, W. (2004). Using the job
demands-resources model to predict burnout and performance.
Human Resource Management, 43(1), 83–104. https://doi.org/10.1002/
hrm.20004
*Bakker, A. B., & Heuven, E. (2006). Emotional dissonance, burnout, and
in-role performance among nurses and police ocers. International
Journal of Stress Management, 13(4), 423–440. https://doi.org/10.1037/
1072-5245.13.4.423
*Bakker, A. B., Van Emmerik, H., & Van Riet, P. (2008). How job demands,
resources, and burnout predict objective performance: A constructive
replication. Anxiety, Stress & Coping, 21(3), 309–324. https://doi.org/10.
1080/10615800801958637
*Baltes, P. B. (1997). On the incomplete architecture of human ontogeny:
Selection, optimization, and compensation as foundations of develop-
mental psychology. The American Psychologist, 52(4), 366–380. https://
doi.org/10.1037/0003-066X.52.4.366
*Bang, H., & Reio Jr, T. G. (2017). Examining the role of cynicism in the
relationships between burnout and employee behavior. Revista de
Psicología del Trabajo y de las Organizaciones, 33(3), 217–227. https://
doi.org/10.1016/j.rpto.2017.07.002
*Behrman, D. N., & Perreault, W. D. (1984). A role stress model of the
performance and satisfaction of industrial salespersons. Journal of
Marketing, 48(4), 9–21. https://doi.org/10.1177/002224298404800402
Bhave, D. P., & Glomb, T. M. (2016). The role of occupational emotional labor
requirements on the surface acting–job satisfaction relationship. Journal
of Management, 42(3), 722–741. http://www.jstor.org/stable/2778583
Boekhorst, J. A., Singh, P., & Burke, R. (2017, August). Work intensity, emo-
tional exhaustion and life satisfaction. Personnel Review, 46(5), 891–907.
https://doi.org/10.1108/pr-05-2015-0130
Bol, J. C., & Smith, S. D. (2011). Spillover eects in subjective performance
evaluation: Bias and the asymmetric inuence of controllability. The
Accounting Review, 86(4), 1213–1230. https://doi.org/10.2308/accr-
10038
Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011).
Introduction to meta-analysis. John Wiley & Sons. https://doi.org/10.
1002/9780470743386
Borman, W. C., & Motowidlo, S. J. (1997). Task performance and contextual
performance: The meaning for personnel selection research. Human
Performance, 10(2), 99–109. https://doi.org/10.1207/
s15327043hup1002_3
Brandes, P., Castro, S. L., James, M. S. L., Martinez, A. D., Matherly, T. A.,
Ferris, G. R., & Hochwarter, W. A. (2008). The interactive eects of job
insecurity and organizational cynicism on work eort following a layo.
Journal of Leadership & Organizational Studies, 14(3), 233–247. https://
doi.org/10.1177/1071791907311967
Braver, T. S., & Barch, D. M. (2002). A theory of cognitive control, aging
cognition, and neuromodulation. Neuroscience & Biobehavioral Reviews,
26(7), 809–817.
Brown, C. G. (2012). A systematic review of the relationship between
self-ecacy and burnout in teachers. Educational and Child Psychology,
29(4), 47. https://doi.org/10.53841/bpsecp.2012.29.4.47
Buckley, M. R., Halbesleben, J. R. B., & Wheeler, A. R.Eds. 2014. About the
authors. Research in Personnel and Human Resources Management. Vol.
32. pp.305–310. Emerald Group Publishing Limited. https://doi.org/10.
1108/S0742-730120140000032012
*Castanheira, F., & Chambel, M. J. (2010). Reducing burnout in call centers
through HR practices. Human Resource Management, 49(6), 1047–1065.
https://doi.org/10.1002/hrm.20393
*Celik, K. (2013). The eect of role ambiguity and role conict on perfor-
mance of vice principals: The mediating role of burnout. Eurasian Journal
of Educational Research, 51, 195–213. https://doi.org/10.1080/EJ1059818
*Ceschi, A., Demerouti, E., Sartori, R., & Weller, J. (2017). Decision-making
processes in the workplace: How exhaustion, lack of resources and job
demands impair them and aect performance. Frontiers in Psychology, 8,
313. https://doi.org/10.3389/fpsyg.2017.00313
*Chen, C. -F., & Kao, Y. L. (2012). Investigating the antecedents and con-
sequences of burnout and isolation among ight attendants. Tourism
Management, 33(4), 868–874. https://doi.org/10.1016/j.tourman.2011.
09.008
*Cho, M., Bonn, M. A., Han, S. J., & Lee, K. H. (2016). Workplace incivility and
its eect upon restaurant frontline service employee emotions and
service performance. International Journal of Contemporary Hospitality
Management, 28(12), 2888–2912. https://doi.org/10.1108/ijchm-04-
2015-0205
Cieslak, R., Shoji, K., Douglas, A., Melville, E., Luszczynska, A., & Benight, C. C.
(2014). A meta-analysis of the relationship between job burnout and
secondary traumatic stress among workers with indirect exposure to
trauma. Psychological Services, 11(1), 75–86. https://doi.org/10.1037/
a0033798
*Cohen, A., & Abedallah, M. (2015). The mediating role of burnout on the
relationship of emotional intelligence and self-ecacy with OCB and
performance. Management Research Review, 38(1), 2–28. https://doi.org/
10.1108/MRR-10-2013-0238
*Cordes, C. L., & Dougherty, T. W. (1993). A review and an integration of
research on job burnout. Academy of Management Review, 18(4),
621–656. https://doi.org/10.2307/258593
*Cropanzano, R., Rupp, D. E., & Byrne, Z. S. (2003). The relationship of
emotional exhaustion to work attitudes, job performance, and organiza-
tional citizenship behaviors. The Journal of Applied Psychology, 88(1),
160–169. https://doi.org/10.1037/0021-9010.88.1.160
*Dai, N. T., Kuang, X., & Tang, G. (2018). Dierential Weighting of Objective
versus Subjective Measures in Performance Evaluation: Experimental
Evidence. European Accounting Review, 27(1), 129–148. https://doi.org/
10.1080/09638180.2016.1234402
Day, A., Crown, S. N., & Ivany, M. (2017, December). Organisational change
and employee burnout: The moderating eects of support and job
control. Safety Science, 100, 4–12. https://doi.org/10.1016/j.ssci.2017.03.004
Demerouti, E., Bakker, A. B., & Leiter, M. (2014). Turnout and job perfor-
mance: The moderating role of selection, optimization, and compensa-
tion strategies. Journal of Occupational Health Psychology, 19(1), 96–107.
https://doi.org/10.1037/a0035062
*Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job
demands-resources model of burnout. The Journal of Applied Psychology,
86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
Demerouti, E., Demerouti, E., Bakker, A. B., Vardakou, I., & Kantas, A. (2003).
The convergent validity of two burnout instruments. European Journal of
14 A. CORBEANU ET AL.
Psychological Assessment, 19(1), 12–23. https://doi.org/10.1027//1015-
5759.19.1.12
*Demerouti, E., Veldhuis, W., Coombes, C., & Hunter, R. (2019). Burnout
among pilots: Psychosocial factors related to happiness and perfor-
mance at simulator training. Ergonomics, 62(2), 233–245. https://doi.
org/10.1080/00140139.2018.1464667
*Demerouti, E., Verbeke, W. J. M. I., & Bakker, A. B. (2005). Exploring the
relationship between a multidimensional and multifaceted burnout
concept and self-rated performance. Journal of Management, 31(2),
186–209. https://doi.org/10.1177/0149206304271602
Dodson, K. M., Appelbaum, N. P., Lee, N., Amendola, M., & Kaplan, B. (2019).
Otolaryngology Resident Well-Being and Perceptions of the Clinical
Learning Environment. Ear, Nose & Throat Journal, 98(7), 409–415.
https://doi.org/10.1177/0145561319840125
Downes, M. J., Brennan, M. L., Williams, H. C., & Dean, R. S. Development of
a critical appraisal tool to assess the quality of cross-sectional studies
(AXIS). BMJ Open, 6(12), e011458. https://doi.org/10.1136/bmjopen-
2016-011458.x
Firth, H., & Britton, P. (1989). ‘Burnout’, absence and turnover amongst
British nursing sta. Journal of Occupational Psychology, 62(1), 55–59.
https://doi.org/10.1111/j.2044-8325.1989.tb00477.x
Freudenberger, H. J. (1974). Sta Burn-Out. The Journal of Social Issues, 30
(1), 159–165. https://doi.org/10.1111/j.1540-4560.1974.tb00706.x
*Fritz, C., & Sonnentag, S. (2005). Recovery, health, and job performance:
Eects of weekend experiences. Journal of Occupational Health
Psychology, 10(3), 187–199. . https://doi.org/10.1037/1076-8998.10.3.187
Goldberg, L. S., & Grandey, A. A. (2007). Display rules versus display auton-
omy: Emotion regulation, emotional exhaustion, and task performance
in a call center simulation. Journal of Occupational Health Psychology, 12
(3), 301.
*Goodwin, R. E., Groth, M., & Frenkel, S. J. (2011). Relationships between
emotional labor, job performance, and turnover. Journal of Vocational
Behavior, 79(2), 538–548. https://doi.org/10.1016/j.jvb.2011.03.001
Guthier, C., Dormann, C., & Voelkle, M. C. (2020). Reciprocal eects between
job stressors and burnout: A continuous time meta-analysis of long-
itudinal studies. Psychological Bulletin, 146(12), 1146–1173. https://doi.
org/10.1037/bul0000304
*Hadzibajramovic, E., Schaufeli, W., & De Witte, H. (2020). A Rasch analysis of
the Burnout Assessment Tool (BAT). PloS One, 15(11). https://doi.org/10.
1371/journal.pone.0242241
*Hakanen, J. J., Bakker, A. B., & Schaufeli, W. B. (2006). Burnout and work
engagement among teachers. Journal of School Psychology, 43(6),
495–513. https://doi.org/10.1016/j.jsp.2005.11.001
Hakanen, J. J., & Schaufeli, W. B. (2012). Do burnout and work engagement
predict depressive symptoms and life satisfaction? A three-wave
seven-year prospective study. Journal of Aective Disorders, 141(2–3),
415–424. https://doi.org/10.1016/j.jad.2012.02.043
Halbesleben, J. R. B., & Bowler, W. M. (2007). Emotional exhaustion and job
performance: The mediating role of motivation. The Journal of Applied
Psychology, 92(1), 93–106. https://doi.org/10.1037/0021-9010.92.1.93
*Halbesleben, J. R. B., & Buckley, M. R. (2004). Burnout in organizational life.
Journal of Management, 30(6), 859–879. https://doi.org/10.1016/j.jm.
2004.06.004
Halbesleben, J. R. B., & Demerouti, E. (2005). The construct validity of an
alternative measure of burnout: Investigating the English translation of
the Oldenburg Burnout Inventory. Work & Stress, 19(3), 208–220. https://
doi.org/10.1080/02678370500340728
Harris, K. J., Harvey, P., & Kacmar, K. M. (2009). Do social stressors impact
everyone equally? An examination of the moderating impact of core
self-evaluations. Journal of Business and Psychology, 24(2), 153–164.
https://doi.org/10.1007/s10869-009-9096-2
Harris, M. M., & Schaubroeck, J. (1988). A meta‐analysis of self‐supervisor,
self‐peer, and peer‐supervisor ratings. Personnel Psychology, 41(1), 43–
62.
*Hobfoll, S. E. (1989). Conservation of resources a new attempt at concep-
tualizing stress. The American Psychologist, 44(3), 513–524. https://psy
cnet.apa.org/10.1037/0003-066X.44.3.513
Hobfoll, S. E. (2001). The inuence of culture, community, and the nested‐
self in the stress process: Advancing conservation of resources theory.
The Journal of Applied Psychology, 50(3), 337–421. https://doi.org/10.
1111/1464-0597.00062
Hobfoll, S. E., & Shirom, A. (2000). Conservation of resources theory:
Applications to stress and managemnent in the workplace, In
R. T. Golembiewski (Eds.), Handbook of organizational berhavior. (2 nd
ed, pp. 57–80). https://psycnet.apa.org/doi/10.1037/0003-066X.44.3.513
Hochschild, A. R. (1979). Emotion Work, Feeling Rules, and Social Structure.
The American Journal of Sociology, 85(3), 551–575. https://doi.org/10.
1086/227049
Hogan, J., & Holland, B. (2003). Using theory to evaluate personality and
job-performance relations: A socioanalytic perspective. The Journal of
Applied Psychology, 88(1), 100–112. https://doi.org/10.1037/0021-9010.
88.1.100
*Janssen, O., Lam, C. K., & Huang, X. (2009). Emotional exhaustion and job
performance: The moderating roles of distributive justice and positive
aect. Journal of Organizational Behavior, 31(6), 787–809. https://doi.org/
10.1002/job.614
Karatepe, O. M. (2011). Core self-evaluations, exhaustion, and job outcomes:
A study of frontline hotel employees in Iran. Tourism and Hospitality
Research, 11(4), 248–257. https://doi.org/10.1177/1467358411418898
*Karatepe, O. M. (2013). The eects of work overload and work‐family
conict on job embeddedness and job performance: The mediation of
emotional exhaustion. International Journal of Contemporary Hospitality
Management, 25(4), 614–634. https://doi.org/10.1108/
09596111311322952
*Karatepe, O. M., & Anumbose Nkendong, R. (2014). The relationship
between customer-related social stressors and job outcomes: The med-
iating role of emotional exhaustion. Economic Research-Ekonomska
Istraživanja, 27(1), 414–426. https://doi.org/10.1080/1331677X.2014.
967533
*Karatepe, O. M., & Tekinkus, M. (2006). The eects of work‐family conict,
emotional exhaustion, and intrinsic motivation on job outcomes of
front‐line employees. International Journal of Bank Marketing, 24(3),
173–193. https://doi.org/10.1108/02652320610659021
*Karatepe, O. M., & Uludag, O. (2008). Role stress, burnout and their eects
on frontline hotel employees’ job performance: Evidence from Northern
Cyprus. International Journal of Tourism Research, 10(2), 111–126. https://
doi.org/10.1002/jtr.645
*Kattenbach, R., Demerouti, E., & Nachreiner, F. (2010). Flexible working
times: Eects on employees’ exhaustion, work‐nonwork conict and job
performance. Career Development International, 15(3), 279–295. https://
doi.org/10.1108/13620431011053749
*Keijsers, G. J., Schaufeli, W. B., Le Blanc, P. M., Zwerts, C., & Miranda, D. R.
(1995). Performance and burnout in intensive care units. Work & Stress, 9
(4), 513–527. https://doi.org/10.1080/02678379508256897
*Kim, W. H., Ra, Y. -A., Park, J. G., & Kwon, B. (2017). Role of burnout on job
level, job satisfaction, and task performance. Leadership & Organization
Development Journal, 38(5), 630–645. https://doi.org/10.1108/LODJ-11-
2015-0249
*Klein, D. J., & Verbeke, W. (1999). Autonomic Feedback in Stressful
Environments: How Do Individual Dierences in Autonomic Feedback
Relate to Burnout, Job Performance, and Job Attitudes in Salespeople?
The Journal of Applied Psychology, 84(6), 911–924. https://doi.org/10.
1037/0021-9010.84.6.911
Kompier, M. (2005). Assessing the psychosocial work environment - “sub-
jective” versus “objective” measurement. Scandinavian Journal of Work,
Environment & Health, 31(6), 405–408. https://doi.org/10.5271/sjweh.946
Kuncel, N. R., & Tellegen, A. (2009). A conceptual and empirical reexamina-
tion of the measurement of the social desirability of items: Implications
for detecting desirable response style and scale development. Personnel
Psychology, 62(2), 201–228. https://doi.org/10.1111/j.1744-6570.2009.
01136.x
Kwantes, C. T., Karam, C. M., Kuo, B. C., & Towson, S. (2008). Culture’s
inuence on the perception of OCB as in-role or extra-role.
International Journal of Intercultural Relations, 32(3), 229–243. https://
doi.org/10.1016/j.ijintrel.2008.01.007
Lee, R. T., Seo, B., Hladkyj, S., Lovell, B. L., & Schwartzmann, L. (2013).
Correlates of physician burnout across regions and specialties: A
meta-analysis. Human Resources for Health, 11(1), 1–16. https://doi.org/
10.1186/1478-4491-11-48
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 15
Leiter, M. P., & Maslach, C. (2016). Latent burnout proles: A new approach
to understanding the burnout experience. Burnout Research, 3(4),
89–100. https://doi.org/10.1016/j.burn.2016.09.001
Lemonaki, R., Xanthopoulou, D., Bardos, A. N., Karademas, E. C., & Simos, P.
G. (2021). Burnout and job performance: A two-wave study on the
mediating role of employee cognitive functioning. European Journal of
Work & Organizational Psychology, 30(5), 692–704.
Lepold, A., Tanzer, N., & Jiménez, P. (2018). Expectations of Bank Employees
on the Inuence of Key Performance Indicators and the Relationship
with Job Satisfaction and Work Engagement. Social Sciences, 7(6), 99.
https://doi.org/10.3390/socsci7060099
Linden, D. V. D., Keijsers, G. P., Eling, P., & Schaijk, R. V. (2005). Work stress
and attentional diculties: An initial study on burnout and cognitive
failures. Work & Stress, 19(1), 23–36.
Lundqvist, D., Reineholm, C., Gustavsson, M., & Ekberg, K. (2013, October).
Investigating Work Conditions and Burnout at Three Hierarchical Levels.
Journal of Occupational & Environmental Medicine, 55(10), 1157–1163.
https://doi.org/10.1097/jom.0b013e31829b27df
Lyddy, C. J., Good, D. J., Bolino, M. C., Thompson, P. S., & Stephens, J. P.
(2021). The costs of mindfulness at work: The moderating role of mind-
fulness in surface acting, self-control depletion, and performance
outcomes. The Journal of Applied Psychology, 106(12), 1921–1938.
https://doi.org/10.1037/apl0000863
Maslach, C. (2011). Engagement research: Some thoughts from a burnout
perspective. European Journal of Work and Organizational Psychology, 20
(1), 47–52. https://doi.org/10.1080/1359432X.2010.537034
Maslach, C., & Jackson, S. E. (1981). The measurement of experienced
burnout. Journal of Organizational Behavior, 2(2), 99–113. https://doi.
org/10.1002/job.4030020205
Maslach, C., Leiter, M. P., & Schaufeli, W. (2008). Measuring Burnout. Oxford
University Press. https://doi.org/10.1093/oxfordhb/9780199211913.003.
0005
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001). Job Burnout. Annual
Review of Psychology, 52(1), 397–422. https://doi.org/10.1146/annurev.
psych.52.1.397
McCarthy, A. M., & Garavan, T. N. (2001, February 1). 360° feedback process:
Performance, improvement and employee career development. Journal
of European Industrial Training, 25(1), 5–32. https://doi.org/10.1108/
03090590110380614
McTiernan, K., & McDonald, N. (2014, December 9). Occupational stressors,
burnout and coping strategies between hospital and community psy-
chiatric nurses in a Dublin region. Journal of Psychiatric and Mental
Health Nursing, 22(3), 208–218. https://doi.org/10.1111/jpm.12170
Merchant, K. A., Stringer, C., & Theivanthampillai, P. (2010). Relationships
Between Objective and Subjective Performance Ratings. University of
Southern California. Department of Accountancy and Business Law
Working Paper series number 17. https://doi.org/10.1111/145569724
Mikolajczak, M., Menil, C., & Luminet, O. (2007, October). Explaining the
protective eect of trait emotional intelligence regarding occupational
stress: Exploration of emotional labour processes. Journal of Research in
Personality, 41(5), 1107–1117. https://doi.org/10.1016/j.jrp.2007.01.003
Miyake, A., Friedman, N. P., Rettinger, D. A., Shah, P., & Hegarty, M. (2001).
How are visuospatial working memory, executive functioning, and spa-
tial abilities related? A latent-variable analysis. Journal of Experimental
Psychology: General, 130(4), 621.
Monsell, S., & Driver, J. (Eds.). (2000). Control of cognitive processes:
Attention and performance XVIII (Vol. 18). MIT Press.
Morrison, E. W. (1994). Role denitions and organizational citizenship beha-
vior: The importance of the employee’s perspective. Academy of
Management Journal, 37(6), 1543–1567. https://doi.org/10.5465/256798
Motowidlo, S. J., & Van Scotter, J. R. (1994). Evidence that task performance
should be distinguished from contextual performance. The Journal of
Applied Psychology, 79(4), 475–480. https://doi.org/10.1037/0021-9010.
79.4.475
Mulki, J. P., Lassk, F. G., & Jaramillo, F. (2008). The eect of self-ecacy on
salesperson work overload and pay satisfaction. Journal of Personal
Selling & Sales Management, 28(3), 285–297. https://doi.org/10.2753/
PSS0885-3134280305
Nahrgang, J. D., Morgeson, F. P., & Hofmann, D. A. (2011). Safety at work: A
meta-analytic investigation of the link between job demands, job
resources, burnout, engagement, and safety outcomes. The Journal of
Applied Psychology, 96(1), 71–94. https://doi.org/10.1037/a0021484
*Nailul Munna Abang Abdullah, D., & Chui Yuen, F. (2011, September 25-
28). The impact of job burnout towards job performance among nurses
[Paper presentation]. IEEE Symposium on Business, Engineering and
Industrial Applications, Langkawi, Malaysia. https://doi.org/10.1109/
ISBEIA.2011.6088836
*Ng, S. I., Sambasivan, M., & Zubaidah, S. (2011). Antecedents and outcomes
of ight attendants’ job satisfaction. Journal of Air Transport
Management, 17(5), 309–313. https://doi.org/10.1016/j.jairtraman.2011.
03.007
*Oosterholt, B. G., Maes, J. H. R., Van der Linden, D., Verbraak, M. J. P. M., &
Kompier, M. A. J. (2015). Burnout and cortisol: Evidence for a lower
cortisol awakening response in both clinical and non-clinical burnout.
Journal of Psychosomatic Research, 78(5), 445–451. https://doi.org/10.
1016/j.jpsychores.2014.11.003
Organ, D. W. (1997). Organizational Citizenship Behavior: It’s Construct
Clean-Up Time. Human Performance, 10(2), 85–97. https://doi.org/10.
1207/s15327043hup1002_2
Österberg, K., Karlson, B., & Hansen, Å. M. (2009). Cognitive performance in
patients with burnout, in relation to diurnal salivary cortisol: Original
research report. Stress, 12(1), 70–81.ISO 690.
Palenzuela, P., Delgado, N., & Rodríguez, J. A. (2019). Exploring the relation-
ship between contextual performance and burnout in healthcare
professionals. Revista de Psicología del Trabajo y de las Organizaciones,
35(2), 115–121. https://doi.org/10.5093/jwop2019a13
Parker, P. A., & Kulik, J. A. (1995). Burnout, self- and supervisor-rated job
performance, and absenteeism among nurses. Journal of Behavioral
Medicine, 18(6), 581–599. https://doi.org/10.1007/BF01857897
*Paulhus, D. L. (1991). Measurement and Control of Response Bias. In
J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of
Personality and Social Psychological Attitudes (pp. 17–59). Academic
Press. https://doi.org/10.1016/B978-0-12-590241-0.50006-X
Peterson, U., Demerouti, E., Bergström, G., Samuelsson, M., Åsberg, M., &
Nygren, Å. (2008). Burnout and physical and mental health among
Swedish healthcare workers. Journal of Advanced Nursing, 62(1), 84–95.
https://doi.org/10.1111/j.1365-2648.2007.04580.x
Petitta, L., & Vecchione, M. (2011). Job burnout, absenteeism, and extra role
behaviors. Journal of Workplace Behavioral Health, 26(2), 97–121. https://
doi.org/10.1080/15555240.2011.573752
*Petrou, P., Demerouti, E., & Schaufeli, W. B. (2015). Job crafting in changing
organizations: Antecedents and implications for exhaustion and
performance. Journal of Occupational Health Psychology, 20(4),
470–480. https://doi.org/10.1037/a0039003
Podsako, P. M., & MacKenzie, S. B. (1994). An examination of the psycho-
metric properties and nomological validity of some revised and reduced
substitutes for leadership scales. The Journal of Applied Psychology, 79(5),
702–713. https://doi.org/10.1037/0021-9010.79.5.702
*Podsako, N. P., Whiting, S. W., Welsh, D. T., & Mai, K. M. (2013). Surveying
for “artifacts”: The susceptibility of the OCB–performance evaluation
relationship to common rater, item, and measurement context eects.
The Journal of Applied Psychology, 98(5), 863–874. https://doi.org/10.
1037/a0032588
Pransky, G., Finkelstein, S., Berndt, E., Kyle, M., Mackell, J., & Tortorice, D.
(2006, July 1). Objective and self‐report work performance measures:
A comparative analysis. International Journal of Productivity and
Performance Management, 55(5), 390–399. https://doi.org/10.1108/
17410400610671426
Prentice, C., Chen, P. -J., & King, B. (2013). Employee performance outcomes
and burnout following the presentation-of-self in customer-service
contexts. International Journal of Hospitality Management, 35, 225–236.
https://doi.org/10.1016/j.ijhm.2013.06.007
Priebe, S., Fakhoury, W. K. H., Homann, K. et al. (2005). Morale and job
perception of community mental health professionals in Berlin and
London. Soc Psychiat Epidemiol, 40, 223–232. https://doi.org/10.1007/
s00127-005-0880-7
Radley, J. J., Sisti, H. M., Hao, J., Rocher, A., McCall, T., Hof, P. R., & Morrison, J.
H. (2004). Chronic behavioral stress induces apical dendritic reorganiza-
tion in pyramidal neurons of the medial prefrontal cortex. Neuroscience,
125(1), 1–6.
16 A. CORBEANU ET AL.
*Rahim, A., & Cosby, D. M. (2016). A model of workplace incivility, job
burnout, turnover intentions, and job performance. Journal of
Management Development, 35(10), 1255–1265. https://doi.org/10.1108/
JMD-09-2015-0138
*Rajan, M. V., & Reichelstein, S. (2009). Objective versus Subjective
Indicators of Managerial Performance. The Accountancy Review, 84(1),
209–237.
Raju, N. S., & Brand, P. A. (2003). Determining the signicance of correlations
corrected for unreliability and range restriction. Applied Psychological
Measurement, 27, 52–71. https://doi.org/10.1177/0146621602239476
Randall, M., & Scott, W. A. (1988). Burnout, job satisfaction, and job
performance. Australian Psychologist, 23(3), 335–347. https://doi.org/10.
1080/00050068808255616
Rehman, S. U., Qingren, C., Latif, Y., & Iqbal, P. (2017). Impact of psycholo-
gical capital on occupational burnout and performance of faculty
members. International Journal of Educational Management, 31(4),
455–469. https://doi.org/10.1108/IJEM-01-2016-0011
*Reizer, A., Brender-Ilan, Y., & Sheaer, Z. (2019). Employee motivation,
emotions, and performance: A longitudinal diary study. Journal of
Managerial Psychology, 34(6), 415–428. https://doi.org/10.1108/jmp-07-
2018-0299
Riolli, L., & Savicki, V. (2006). Impact of fairness, leadership, and coping on
strain, burnout, and turnover in organizational change. International
Journal of Stress Management, 13(3), 351–377. https://doi.org/10.1037/
1072-5245.13.3.351
Sandström, A., Rhodin, I. N., Lundberg, M., Olsson, T., & Nyberg, L. (2005).
Impaired cognitive performance in patients with chronic burnout syn-
drome. Biological Psychology, 69(3), 271–279.
Schat, A. C. H., & Frone, M. R. (2011). Exposure to psychological aggression
at work and job performance: The mediating role of job attitudes and
personal health. Work & Stress, 25(1), 23–40. https://doi.org/10.1080/
02678373.2011.563133
Schaufeli, W. B. (2003). Past performance and future perspectives of burn-
out research. SA Journal of Industrial Psychology, 29(4), 1–15. https://doi.
org/10.4102/sajip.v29i4.127
Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their
relationship with burnout and engagement: A multi‐sample study.
Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.
1002/job.248
Schaufeli, W. B., Bakker, A. B., & Van Rhenen, W. (2009). How changes in job
demands and resources predict burnout, work engagement, and sick-
ness absenteeism. Journal of Organizational Behavior, 30(7), 893–917.
https://doi.org/10.1002/job.595
Schaufeli, W. B., & Buunk, B. P. (2004). Burnout: An overview of 25 years of
research and theorizing. In M. J. Schabracq, J. A. M. Winnubst, &
C. L. Cooper (Eds.), The Handbook of Work and Health Psychology (pp.
383–425). John Wiley & Sons, Ltd. https://doi.org/10.1002/0470013400.
ch19
Schaufeli, W., & Enzmann, D. (1998). The burnout companion to study and
practice: A critical analysis. Taylor & Francis.
Schaufeli, W. B., & Taris, T. W. (2005). The conceptualization and measure-
ment of burnout: Common ground and worlds apart. Work & Stress, 19
(3), 256–262. https://doi.org/10.1080/02678370500385913
Schnake, M. (1991). Organizational citizenship: A review, proposed model,
and research agenda. Human Relations, 44(7), 735–759. https://doi.org/
10.1177/001872679104400706
Shanafelt, T. D., Hasan, O., Dyrbye, L. N., Sinsky, C., Satele, D., Sloan, J., &
West, C. P. (2015). Changes in burnout and satisfaction with work-life
balance in physicians and the general us working population between
2011 and 2014. Mayo Clinic Proceedings, 90(12), 1600–1613. https://doi.
org/10.1016/j.mayocp.2015.08.023
Sharma, J., & Dhar, R. L. (2016). Factors inuencing job performance of
nursing sta: Mediating role of aective commitment. Personnel
Review, 45(1), 161–182. https://doi.org/10.1108/PR-01-2014-0007
*Shaukat, R., Yousaf, A., & Sanders, K. (2017). Examining the linkages
between relationship conict, performance and turnover intentions:
Role of job burnout as a mediator. International Journal of Conict
Management, 28(1), 4–23. https://doi.org/10.1108/IJCMA-08-2015-0051
*Shirom, A. (2003). Job-related burnout: A review. In J. C. Quick & L. E. Tetrick
(Eds.), Handbook of occupational health psychology (pp. 245–264).
American Psychological Association. https://doi.org/10.1037/10474-012
Shirom, A. (2005). Reections on the study of burnout. Work & Stress, 19(3),
263–270. https://doi.org/10.1080/02678370500376649
Shirom, A., & Melamed, S. (2006). A comparison of the construct validity of
two burnout measures in two groups of professionals. International
Journal of Stress Management, 13(2), 176–200. https://doi.org/10.1037/
1072-5245.13.2.176
Singh, J., Goolsby, J. R., & Rhoads, G. K. (1994). Behavioral and Psychological
Consequences of Boundary Spanning Burnout for Customer Service
Representatives. Journal of Marketing Research, 31(4), 558–569. https://
doi.org/10.1177/002224379403100409
Sonnentag, S., & Frese, M. (2005). Performance Concepts and Performance
Theory. In S. Sonnentag (Ed.), Psychological Management of Individual
Performance (pp. 1–25). John Wiley & Sons, Ltd. https://doi.org/10.1002/
0470013419.ch1
Sturman, M. C., Cheramie, R. A., & Cashen, L. H. (2005). The impact of job
complexity and performance measurement on the temporal consis-
tency, stability, and test-retest reliability of employee job performance
ratings. The Journal of Applied Psychology, 90(2), 269–283. https://doi.
org/10.1037/0021-9010.90.2.269
Swider, B. W., & Zimmerman, R. D. (2010). Born to burnout: A meta-analytic
path model of personality, job burnout, and work outcomes. Journal of
Vocational Behavior, 76(3), 487–506. https://doi.org/10.1016/j.jvb.2010.
01.003
Taris, T. W. (2006). Is there a relationship between burnout and objective
performance? A critical review of 16 studies. Work & Stress, 20(4),
316–334. https://doi.org/10.1080/02678370601065893
Viechtbauer, W. (2010). Conducting Meta-Analyses in R with the metafor
Package. Journal of Statistical Software, 36(3). https://doi.org/10.18637/
jss.v036.i03
Vigoda-Gadot, E. (2006, November 10). Redrawing the boundaries of OCB?
An empirical examination of compulsory extra-role behavior in the
workplace. Journal of Business and Psychology, 21(3), 377–405. https://
doi.org/10.1007/s10869-006-9034-5
Vîrgă, D., Schaufeli, W. B., Taris, T. W., van Beek, I., & Sulea, C. (2019).
Attachment Styles and Employee Performance: The Mediating Role of
Burnout. The Journal of Psychology, 153(4), 383–401. https://doi.org/10.
1080/00223980.2018.1542375
*Viswesvaran, C. (2002). Assessment of individual job performance:
A review of the past century and a look ahead. In N. Anderson,
D. S. Ones, H. K. Sinangil, & C. Viswesvaran (Eds.), Handbook of industrial,
work and organizational psychology (Vol. 1, pp. 110–126). Sage
Publications Ltd.
Wall, T. D., Michie, J., Patterson, M., Wood, S. J., Sheehan, M., Clegg, C. W., &
West, M. (2004). On the validity of subjective measures of company
performance. Personnel Psychology, 57(1), 95–118. https://doi.org/10.
1111/j.1744-6570.2004.tb02485.x
Wang, H. M. D., & Sengupta, S. (2016, December). Stakeholder relationships,
brand equity, rm performance: A resource-based perspective. Journal
of Business Research, 69(12), 5561–5568. https://doi.org/10.1016/j.
jbusres.2016.05.009
Weijters, B., Baumgartner, H., & Schillewaert, N. (2013). Reversed item bias:
An integrative model. Psychological Methods, 18(3), 320–334. https://doi.
org/10.1037/a0032121
Wiernik, B. M., & Dahlke, J. A. (2020). Obtaining unbiased results in
meta-analysis: The importance of correcting for statistical artifacts.
Advances in Methods and Practices in Psychological Science, 3(1),
94–123. https://doi.org/10.1177/2515245919885611
Wigert, B., & Agrawal, S. (2018, July 12). Employee burnout, part 1: The 5 main
causes. Gallup. https://www.gallup.com/workplace/237059/employee-
burnout-part-main-causes.aspx
World Health Organisation (2019, May 28). Burn-out an occupational phe-
nomenon”: International Classication of Diseases. Retrieved from https://
www.who.int/news/item/28-05-2019-burn-out-an-occupational-phe
nomenon-international-classication-of-diseases
Worley, J. A., Vassar, M., Wheeler, D. L., & Barnes, L. L. B. (2008). Factor
Structure of Scores from the Maslach Burnout Inventory: A Review and
EUROPEAN JOURNAL OF WORK AND ORGANIZATIONAL PSYCHOLOGY 17
Meta-Analysis of 45 Exploratory and Conrmatory Factor-Analytic
Studies. Educational and Psychological Measurement, 68(5), 797–823.
https://doi.org/10.1177/0013164408315268
Wright, T. A., & Bonett, D. G. (1997). The contribution of burnout to work
performance. Journal of Organizational Behavior, 18(5), 491–499. doi:
https://doi.org/10.1002/(SICI)1099-1379(199709)18:5<491:AID-
JOB804>3.0.CO;2-I
*Wright, T. A., & Cropanzano, R. (1998). Emotional exhaustion as a predictor
of job performance and voluntary turnover. The Journal of Applied
Psychology, 83(3), 486–493. https://doi.org/10.1037/0021-9010.83.3.486
*Wright, T. A., & Hobfoll, S. E. (2004). Commitment, psychological well-being
and job performance: An examination of conservation of resources (COR)
theory and job burnout. Journal of Business & Management, 9(4), 389–406.
*Yavas, U., Babakus, E., & Karatepe, O. M. (2013). Does hope moderate the
impact of job burnout on frontline bank employees’ in‐role and extra‐
role performances? International Journal of Bank Marketing, 31(1), 56–70.
https://doi.org/10.1108/02652321311292056
Zhang, Y., LePine, J. A., Buckman, B. R., & Wei, F. (2014). It’s not fair . . . or is it?
The role of justice and leadership in explaining work stressor–job per-
formance relationships. Academy of Management Journal, 57(3),
675–697. https://doi.org/10.5465/amj.2011.1110
*Zivnuska, S., Carlson, J. R., Carlson, D. S., Harris, R. B., & Harris, K. J.
(2019). Social media addiction and social media reactions: The
implications for job performance. The Journal of Social Psychology,
159(6), 746–760. https://doi.org/10.1080/00224545.2019.1578725
18 A. CORBEANU ET AL.