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Nursing turnover threatens the perform-ance of health care organizations. This paper examines the influence of Emotional Intelligence (EI), on job out-comes (Job Satisfaction (JS) and Organizational Com-mitment (OC)) on Turnover Intention (TI) of nursing staff working in the health care sector. Although in the relevant literature several studies have examined the direct relationships between any two of these factors, there is lack of an approach which investigates the combined relationships among all these factors. This paper presents a field survey conducted in five private health care organizations which operate in the city of Larisa, Greece. The statistical analysis based on 145 valid questionnaires, confirmed strong association among EI and TI as well as significant relationship be-tween JS and TI. In contrast with the results of other scholars, OC has not been found to be associated with TI.
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The impact of Emotional Intelligence on job outcomes and turnover intention
in Health Care
Panagiotis Trivellas
Vassilis Gerogiannis
and Sofia Svarna
Technological Educational Institute of Chalkis, Department of Logistics, 32200, Thiva, Greece.
ptriv@tee.gr
Technological Educational Institute of Larissa. Department of Project Management, 41110, Larissa, Greece.
gerogian@teilar.gr
Abstract: Nursing turnover threatens the perform-
ance of health care organizations. This paper examines
the influence of Emotional Intelligence (EI), on job out-
comes (Job Satisfaction (JS) and Organizational Com-
mitment (OC)) on Turnover Intention (TI) of nursing
staff working in the health care sector. Although in the
relevant literature several studies have examined the
direct relationships between any two of these factors,
there is lack of an approach which investigates the
combined relationships among all these factors. This
paper presents a field survey conducted in five private
health care organizations which operate in the city of
Larisa, Greece. The statistical analysis based on 145
valid questionnaires, confirmed strong association
among EI and TI as well as significant relationship be-
tween JS and TI. In contrast with the results of other
scholars, OC has not been found to be associated with
TI.
Keywords: Emotional Intelligence, Job Satisfaction,
Organizational Commitment, Turnover Intention,
Health Care.
I. INTRODUCTION
Human resources are, without doubt, the core of the
health care industry and an effective health care system
depends mainly on their adequacy, quality and their
right distribution (Firth et al., 2004). Nursing shortages
are proved to be related with adverse incidents and as-
pects of hospital inefficiency (Sellgren, Ekvall and
Tomson, 2007). In Greece, except from a plethora of
doctors, the health care sector presents human re-
sources’ shortages. Therefore, it comes of high impor-
tance to study turnover intention and its antecedents in
the health care sector.
High turnover turns out to be a global phenomenon
(Rana et al., 2009). Many studies have shown that the
intention of quitting a job stems from factors such as
leadership support, organization commitment, and job
satisfaction (Price, 2001; Chiu et al., 2005). In addition,
many researchers (Wong and Law, 2002; Carmeli,
2003; Vakola et al., 2004; Goleman, 1998; Kooker,
Shoultz and Codier, 2007) provided evidence of a nega-
tive relation between turnover intention and Emotional
intelligence.
Despite the fact that job satisfaction, emotional ex-
haustion and stress of nursing staff have been investi-
gated thoroughly, there is limited research upon turn-
over issues and particularly turnover intention of nurs-
ing staff. As illustrated in figure 1, this study investi-
gates the direct relationships between emotional Intelli-
gence (EI) and job outcomes (organizational commit-
ment (OC), job satisfaction (JS) and turnover intention
(TI)).
Figure 1. Conceptual Framework.
II. RESEARCH BACKGROUND
A. Emotional Intelligence in Health Care
Emotion research in health care is categorized into two
major areas: research related to emotional labor (Larson
and Yao, 2005) and research related to emotional intel-
ligence (Goleman, 1998). Referring to the latter, the
importance of emotional Intelligence has been widely
recognized for the case of nursing staff working in
health-care (Larson and Yao, 2005; Kooker, Shoultz
and Codier, 2007).
Emotion is central within health care organizations.
Every member of a hospital’s staff has to deal, in a daily
basis, with events highly related to emotions such as
birth, illness, death. Thus, the work climate becomes
stressful for the nursing staff, which, at the same time is
obliged to perform in the most effective way. High re-
sponsibility upon patients is of utmost importance, as if
not existing, may even cost their life. Moreover, it is
one of the most stressful factors within a heath care or-
ganization; as any other stressor usually moderates
staff’s job satisfaction and creates turnover intentions
(Kooker, Shoultz, & Codier, 2007; Chiu et al., 2005).
This is indeed not just a commonly accepted rational
theory but it has been proved by many researchers, es-
pecially in the last decade (Firth et al., 2004; Sellgren,
Ekvall and Tomson, 2007).
Concluding, there is evidence that EI plays a signifi-
cant role upon turnover intention -that will possibly lead
to the actual quitting (Chiu and Francesco, 2003) – and,
therefore, EI should be further examined as a predictor
of such a behavior. The previous argument becomes of a
greater importance, under the consideration that health
care departments try to prevent intentions of quitting
because the results are higher costs and poor quality of
services provided to patients (Schyns, Torca and
Gossling, 2007; Sellgren, Ekvall and Tomson, 2007).
B. Emotional Intelligence and JS
According to Goleman (1998), individuals that present a
high level of EI tend to experience more positive moods
and emotions in contrast to those with a lower overall
EI. This means that the latter usually translate their feel-
ings to disappointment, anger and infullfilment and by
this way their total satisfaction is reduced. In health care
sector, Guleryuz et al (2008) examined the effect of
emotional intelligence on job satisfaction and organiza-
tional commitment of nurses working in seven univer-
sity hospitals in Turkey. Their findings demonstrated
that Emotional intelligence had a strong positive rela-
tion to job satisfaction. By considering these results, the
first hypothesis of the research is defined as follows:
H1: EI is positively related to JS
C. Emotional Intelligence and OC
The associations between EI and Organizational Com-
mitment has been examined in the relevant literature
and in most cases has been found to be significantly and
positively related with it (Lee and Liu, 2007, Guleryuz
et al., 2008; Zeidner, Matthews and Roberts, 2004;
Wong and Low, 2002; Goleman, 1998; Mayer and Sa-
lovey, 1997). This can be explained from the fact that
people with high emotional intelligence have the ten-
dency to put themselves into positive emotional states
that will probably lead to positive affection towards
their organization (Wong and Law, 2002). Conse-
quently, the second hypothesis in this research is stated
as follows:
H2: EI is positively related to OC.
D. Emotional Intelligence and TI
Staff turnover is defined as “the number of employees
that have quit within a given time period, usually one
year, in relation to the total number of employees”
(Newman et al., 2002, the HSM Group 2002 cited in
Sellgren, Ekvall and Tomson, 2007, p.172). Employee’s
intention to quit is a situation that all managers try to
eliminate within their organization as the actual quitting
not only leads to higher costs as, for example, recruiting
new employees (Firth 2004; Schyns, Torca and
Gossling 2007) but also has negative consequences on
the quality of services provided. In the case of a health-
care industry this sometimes means the undermining of
the patients’ safety (Sellgren, Ekvall and Tomson,
2007).
According to past findings, turnover intention’ rela-
tionship with EI has been proved to be negative (Wong
and Law, 2002; Goleman, 1998; Kooker, Shoultz and
Codier, 2007; Carmeli, 2003; Lee and Liu, 2007; Fal-
kenburg and Schyns, 2007; Firth et al., 2004). Particu-
larly, Wong and Law (2002) have supported this argu-
ment and through their study they have highlighted the
fact that the higher the emotional labor in a particular
job, the stronger EI is negatively related to turnover
intention. By considering that health care sector is a
workplace with high emotional labor, the third hypothe-
sis in this study is stated as follows:
H3: EI is negatively related to TI.
III. RESEARCH METHODOLOGY
A. Sample
The field research was conducted in five private general
hospitals in the area of Thessaly, Greece. Structured
questionnaires were distributed to 266 nurses and 145
valid questionnaires were returned. Response rate was
54.5%. Most nurses were female (86.2%) and their
mean age was 34.3 years (SD=9.6). The average num-
ber of years of nursing experience was 12.3 (SD=7.3)
while mean organizational tenure was 9.4 years
(SD=4.2).
B. Questionnaire design
Emotional Intelligence was measured with the Meyer,
Salovey and Caruso (2002) Emotional Intelligence Test,
(MSCEIT), which has been proved to provide high va-
lidity (Brackett and Mayer, 2003; Brackett et al., 2006;
Rode et al., 2008). It was adopted a short version of 16
items from the 141 items of the MSCEIT instrument -
four items for each aspect of EI - to test identifying
emotions, understanding emotions, using emotions and
managing emotions, respectively.
Allen and Meyer’s (1990a,b) Organizational Com-
mitment scale is used to measure the aspects of OC. In
total, 12 items were adopted, related with two of the
three factors of Allen and Meyer’s model, that of Affec-
tive (AC) and Continuance Commitment (CC).
Job Satisfaction is measured using Melia and Peiro’s
S20/23 questionnaire (Melia and Peiro, 1989). It con-
sists of 23 items and assesses various specific factors of
satisfaction, such as intrinsic job characteristics, super-
vision, participation and physical environment which
are highly matched with the different dimensions of the
nursing job satisfaction. The questionnaire presents
high-level of validity, high internal consistency and
adapts adequately to different organizational contexts
(Saura et al., 2005; Gil et al., 2005). We adopted 16
items from this tool, which are relevant to our case.
Intention to quit was measured by using the three
item questionnaire of Kim et al. (1996) that is also con-
sidered to provide high validity. The instrument was
selected because it is a simple measure and very under-
standable for the respondents (Price, 2003). To ensure
the validity of the item translation, a (English/Greek)
translate/back translate procedure (Brisles, 1970; La-
roche et al., 2003) was used. Responses were assessed
on 5-point Likert scales.
C. Data Analysis
Initially, Principal Component Analysis (PCA) has been
conducted to examine the underlying factors of Emo-
tional Intelligence, Job Satisfaction, Organizational
Commitment and Turnover Intention scales. All scales
were proved to be one-dimensional. Cronbach’s Alpha
(Cronbach, 1960) has been calculated to assure internal
reliability and consistency. All scales exhibited well
over the minimum acceptable reliability level for alpha
coefficients of 0.7. Finally, multiple regression analyses
applied to test the hypotheses and provide conclusions.
D. Results
To test the hypotheses multiple regression analyses
were conducted. Demographic data (age, working ex-
perience, education level and marital status) were
treated as control variables. In the following tables, the
reciprocal of the tolerance known as the Variance Infla-
tion Factor (VIF) has been used to show how much the
variance of the coefficient estimate is being inflated by
multi-collinearity (i.e., to ensure that multi-collinearity
among independent variables is not an issue during re-
gression analyses). VIF coefficients of above 5 points
indicate a multi-collinearity problem (O'Brien, 2007).
The first regression model has tested if Emotional
Intelligence is related to Job Satisfaction (hypothesis
H1). In Table 1, the values of the standardized coeffi-
cients beta show that EI has a positive and significant
relation to job satisfaction (Std. beta=0.706, p<0.001).
Additionally, EI is positively and significantly related to
the demographic variable marital status (Std. beta
=0.199, p<0.05). Therefore, findings have demonstrated
that married nurses seem to have a greater level of EI.
The independent variables explain the 48.3 of the total
variation of nurses’ job satisfaction.
Both dimensions of Organizational Commitment (af-
fective-continuance) have been examined in regard to
their relationship with EI (hypothesis H2), and they
have not been found to be statistically significant (p>
0.05).
Table 1 presents the statistical analysis results for
testing hypothesis H3, also. EI has been proved to exert
a direct, strong and negative relation with turnover in-
tention (Std. beta=0.666, p<0.001). This means that
employees with a higher degree of EI seem to present a
lower intention to leave their organization. The inde-
pendent variables explain the 43.7 of the total variation
of nurses’ turnover intentions.
JS TI
Std. Beta VIF Std. Beta VIF
Age -0.136 4.357 0.082 4.357
tenure 0.155 2.029 -0.189* 2.029
Education level 0.089 1.728 0.010 1.728
Marital status 0.199* 2.664 -0.050 2.664
EI 0.706*** 1.044 -0.666*** 1.044
R square 0.483*** 0.437***
* Significant at the 0.05 level, ** significant at the 0.01 level,
*** significant at the 0.001 level, N=145
Table 1. Results of multiple regression analyses.
IV. DISCUSSION
This study has examined the impact of EI upon job out-
comes, such as organizational commitment, job satisfac-
tion and turnover intention.
Past literature has proven significant relationships
between EI and these outcomes (Sy, Tram and O’Hara,
2006; Chiva and Alegre, 2008; Guleryuz, Gney, Ay-
dın, and Asan, 2008; Chena, Chuc, Wange and Linf,
2008; Wong and Law, 2002; Carmeli, 2003). However,
in our study some of the hypothesized relationships
have been confirmed. Particularly, EI was found to have
significant and positive relationship with JS (H1) and
significant and negative relationship with turnover in-
tention (H3), as literature suggests. That means that
nurses presented a higher degree of EI tend to be more
satisfied with their work and also had a lower intention
to leave their jobs.
However, EI was not found to have any significant
relationship with neither of the two dimensions of OC.
In a relative study, Guleryuz et al. (2008) have exam-
ined the relations among emotional intelligence, job
satisfaction and organizational commitment of nurses
and also the mediating impact of job satisfaction be-
tween emotional intelligence and organizational com-
mitment. Questionnaires were distributed to 550 nurses
working at different departments of a hospital and from
these 267 questionnaires were analyzed. Their results
presented job satisfaction as a mediator between emo-
tional intelligence and organizational commitment while
OC had a direct, significant and positive relationship
with EI, contrary to the present study that has not re-
sulted in such a relationship.
To conclude, our research findings indicate strong
relationships between EI and TI as well as between EI
and JS, while OC was not found to be related with any
of the above variables.
REFERENCES
Allen, N. J. and Meyer, J. P., "The measurement and
antecedents of affective, continuance, and norma-
tive commitment," Journal of Occupational Psy-
chology, 63, 1-18 (1990b).
Allen, N.J. and Meyer, J.P., “Affective, continuance and
normative commitment: an examination of con-
struct validity,” Journal of Vocational Behavior,49,
252-276 (1990a).
Bar-On, R., Parker, J.D.A, the Handbook of Emotional
Intelligence, Jossey-Bass, San Francisco (2000).
Brackett, M. A., & Mayer, J. D., “Convergent, discrimi-
nant, and incremental validity of competing meas-
ures of emotional intelligence.”Personality and So-
cial Psychology Bulletin, 29, 1147-1158 (2003).
Brackett, M.A., Rivers, S.E., Shiffman, S., Lerner, N.,
&Salovey, P., “Relating emotional abilities to so-
cial functioning: A comparison of self-report and
performance measures of emotional intelligence,”
Journal of Personality and Social Psychology, 91,
780-795(2006).
Brisles, R. W. (1970). Back translation for cross-
cultural research. Journal of Cross-Cultural Psy-
chology, 1(3), 185216.
Carmeli, A., “The relationship between emotional intel-
ligence and work attitudes, behavior and out-
comes,” Journal of Managerial Psychology, 18 ,
788-813 (2003).
Chiu, C. K., Chien, S.C., Lin, P.C. and Hsiao, Y.C.,
“Understanding hospital employee job stress and
turnover intentions in a practical setting: The mod-
erating role of locus of control,” Journal ofMan-
agement Development, 24, 837-855 (2005).
Chiu, C.K. and Francesco, M.A., “Dispositional traits
and turnover intention: Examining the mediating
role of job satisfaction and affective commitment,”
International Journal of Manpower, 24,284-298
(2003).
Chiva, R. and Alegre, J., “Emotional intelligence and
job satisfaction: the role of organizational learning
capability,” Personnel Review, 37,680-701 ( 2008).
Cronbach, R.G., Essentials of Psychological Testing,
Harper and Row Company, New York (1960).
Falkenburg, K. and Schyns, B., “Work satisfaction, or-
ganizational commitment and withdrawal behav-
iours,” Management Research News ,30,708-723 (
2007).
Firth, L. Mellor D.J., Moore K.A., Loquet C., “How can
managers reduce employee intention to quit?,” J. of
Managerial Psychology, 19(2),170-187 (2004).
Gil, I. G., Berenguer, A., Cervera, K. and. Moliner B.,
“Relationships among customer orientation, service
orientation and job satisfaction in financial ser-
vices”, International Journal of Service Industry
Management, 16, 497–525(2005).
Goleman, D., Working with emotional intelligence,
Bloosbury Publishing, London(1998).
Guleryuz, G. Guney, S., Aydın, M.E. and Asan, O.,
“The mediating effect of job satisfaction between
emotional intelligence and organizational commit-
ment of nurses: A questionnaire survey,” Int. J. of
Nursing Studies , 45,1625–1635 (2008).
Kim, M. and Hunter, J.E., “Relationships among atti-
tudes, behavioral intentions, and behavior, Com-
munication Research,” 20, 331-64 (1983).
Kim, S. W., Price, J. L., Mueller, C. W., & Watson, T.
W., ”The determinants of career intent among phy-
sicians at a U.S. Air Force hospital,” Human Rela-
tions, 49, 947-976 (1996).
Kooker, B. M., Shoultz, J. and Codier, E., “Identifying
emotional intelligence in professional nursing prac-
tice,” J. of Professional Nursing, 23, 30–36 (2007).
Laroche, M., Papadopoulos, N., Heslop, L., &
Bergeron, J. (2003). Effects of subcultural differ-
ences on country and product evaluations. Journal
of Consumer Behavior, 2(3), 232247 mar.
Larson, E.B. and Yao, X.,“Clinical empathy as emo-
tional labor in the patient-physician Relationship”,.
JAMA, 293, 1100-1106 (2005).
Lee, H. and Liu, C., “An examination of factors affect-
ing repatriates’ turnover intentions”. International
Journal of Manpower, 28, 122-134(2007 ).
Mayer, J. D., and Salovey, P., What is emotional intelli-
gence? Emotional development and emotional in-
telligence: Educational implications, Basic Books,
New York (1997).
Meliá, J.L. and Peiró J.M., “La medida de la satisfac-
ción laboral en contextos organizacionales: el cues-
tionario de satisfacción,” Psicologemas, 5, 59–
74(1989).
O'Brien, Robert M. A. , “Caution Regarding Rules of
Thumb for Variance Inflation Factors,” Quality
and Quantity,41, 673-690 (2007).
Price, L.J., “Reflections on the determinants of volun-
tary turnover”, International Journal of Manpower,
22, 600-624 (2001).
Rana, M.T., Salaria, M.R., Herani, G.M. and Amin,
M.A., “Identifying Factors Playing Important Role
in the Increasing Employee Turnover Rate: A Case
of Telecom Industry in Pakistan”, Industrial J. of
Management & Social Sciences, 3, 80-89(2009).
Rode, C. J., Mooney, H.C. , Marne, L., Arthaud, L. M.
,Near, P. J., Rubin, S.R. and Baldwin, T.A., “An
examination of the structural, discriminant, no-
mological, and incremental predictive validity of
the MSCEIT© V2.0 Intelligence”,36,350–366
(2008).
Saura, G. I. Contrí G.B., Taulet A.C., Velázquez B.M.
“Relationships among customer orientation, service
orientation and job satisfaction in financial ser-
vices, “International Journal of Service, 16, 497-
525 (2005).
Schyns, B., Torca, N. and Gossling, T., “Turnover in-
tention and preparedness for change: exploring
leader- member exchange and occupational self-
efficacy as antecedents of two employability pre-
dictors,” Career Development International, 12,
660-679 (2007).
Sellgren, S., Ekvall, G. and Tomson, G., “Nursing staff
turnover: Does leadership matter? Leadership in
Health Services,” 20, 169-183 (2007).
Sy, T. ,Tram, S. and O’Hara, L., “Relation of employee
and manager emotional intelligence to job satisfac-
tion and performance,” Journal of Vocational Be-
havior , 68,461–473 (2006).
Vocola, M., Tsaousis, I. and Nicolaou, I., “The role of
emotional intelligence and personality variables on
attitudes towards organizational change,” Journal
of Managerial Psychology, 19, 88-110 (2004).
Wong, C. and Law, K., “The effects of leader and fol-
lower emotional intelligence on performance and
attitude: An exploratory study,” The Leadership
Quarterly,
13 , 243–274(2002).
Zeidner, M., Matthews, G. and Roberts, R., “Emotional
intelligence in the workplace: A critical review.
Applied Psychology: An International Review”, 53,
371–399. (2004).
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... The level of emotional intelligence (EI) of employees refers to their own perception about their own emotional skills and abilities, personality traits and behavior that help them in managing themselves according to environmental pressure and demands. Many researchers investigated the effect of emotional intelligence on organizational work related outcomes, such as, job performance, job satisfaction, turnover intentions, turnover (Sy et al., 2006;Trivellas et al., 2011). Low level of stress, anxiety, burnout, turnover and well-being is associated with higher level of emotional intelligence (Karimi et al., 2014;Nikolaou and Tsaousis, 2002;Por et al., 2011;Slaski and Cartwright, 2003;Tsaousis and Nikolaou, 2005). ...
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This study investigated the mediating role of employee well-being and engagement in the relationship between emotional intelligence and turnover intentions. It also investigated the interactional effect of perceived organizational support in the relationship between emotional intelligence and mediators (employee well-being and engagement). Stratifying simple random sampling technique was used for data collection. 450 questionnaires were distributed among the employees of different banks at Islamabad and Rawalpindi. Data were analyzed through reliability testing, correlation and regression analysis. The results showed that employee well-being and engagement mediate the relationship between emotional intelligence and turnover intentions; whereas, perceived organizational support positively moderates the relationship between emotional intelligence and mediators as well. Managerial implication, limitation and direction for future studies are included in the paper.
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The research reported in this paper attempts to explain variation in career intent among physicians at a U.S. Air Force hospital. A causal model which comes from the research of Price-Mueller and their colleagues is used to explain career intent. The model is estimated with data collected from Wilford Hall Medical Center, the U.S. Air Force's tertiary-care center. Data were collected by questionnaires and from records. The variables are assessed with widely used organizational measures which are generally valid and reliable. Data are analyzed by ordinary least squares regression analysis. Seven variables are the most important in explaining career intent: organizational commitment, job satisfaction, search behavior, opportunity, met expectations, positive affectivity, and promotional chances. The causal model that has been tested primarily for female employees in civilian hospitals was found to operate just as well among male physicians in a military hospital. Forty-one percent of the variance in career intent is explained in this study.
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Offers reflections on the study of the determinants of voluntary turnover based on empirical research conducted since 1972 at the University of Iowa (Iowa City) by Price, Mueller and their colleagues. The largest share of this research is constituted by 33 studies, mostly theses and dissertations. Reflections are offered about the causal model used and the measures advanced. Alternative models of voluntary turnover are described and possible future research is indicated. A measurement Appendix is also presented. The purpose of the paper is to improve the explanation of voluntary turnover.
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Most cross-cultural studies on country of origin or product-country image (PCI) effects have implicitly assumed that national markets are composed of homogeneous consumers. Although many investigations in this field are described as cross-cultural, most are in fact cross-national. The overarching hypothesis of the present research is that PCI effects may vary across subcultures within a country. The results indicate that subcultural differences exist in the evaluation of culturally affiliated countries and their products. Cognitive responses converged to show that consumers' perceived linkages significantly influence the weight given to the country of origin in product evaluations. Several implications for managers and academic researchers are discussed.
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Purpose The present study attempts to contribute to the knowledge of how customer orientation (CO), service orientation (SO) and job satisfaction (JS) are defined and relate to each other. It explores the relationships between CO and JS by analysing a company providing intermediation services to the banking sector, in its external finance division. Design/methodology/approach After the literature review, the method of empirical analysis consisting in quantitative intervention with an ad hoc survey using a structured questionnaire was developed. Regression analysis with mediation is used to contrast the hypotheses on the links between the constructs analysed. Findings Both reliability and factorial analysis of the scales used provided satisfactory results. CO was found to produce mediated effects, through SO, on overall JS. The mediator role was identified as human resources management practice, service systems practice and service leadership practice. In addition, in all cases, a direct, positive association was found between SO practices and CO. Research limitations/implications First, the use of just one company invites a repeat study in other companies in the sector and in other service contexts. Second, cross‐cultural approaches to the constructs analysed would be interesting. Third, it may be relevant to use longitudinal approaches for a better understanding of the dynamic behaviour of the variables analysed. Fourth, attaining all of data from employees invites to future measures of the constructs taken from different sources. Future research needs to be done on the service profit chain theory to incorporate both customer and financial performance variables. Practical implications The results should lead managers to consider the importance of emphasizing those organizational cues that help build a SO climate in their organizations. Originality/value This paper further acknowledges the links between the constructs being studied, on the basis of employees' perceptions. It was found that CO produces mediated effects, through SO, on overall JS.