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PAKISTAN BUSINESS REVIEW JAN 2017
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Emotional Intelligence and Job Commitment: . . .
Research
EMOTIONAL INTELLIGENCE AND JOB
COMMITMENT: MEDITATIONAL ROLE
OF JOB SATISFACTION AND JOB
PERFORMANCE
Abstract
The study focused on the meditational role of job satisfaction
and job performance between EI and job commitment. A sample of
200 bank employees was collected from different banks in the Lahore
district, age ranging from 30 to 59 year. Scale of Emotional
Intelligence (Batool & Khalid, 2011), Organizational Commitment
Questionnaire (Mowday, Steers & Poter ,1979), Job Satisfaction
Survey (Spector, 1997) and Role Base Performance Scale (Welbroune,
Johnson & Erez, 1998) were employed to collect the data. Baron and
Kenny’s guideline (1986) was followed to run the mediational analysis.
Results revealed that job satisfaction and job performance fully
mediated the relationship between EI and job commitment.
Implications of the study are also discussed.
Keywords: Emotional intelligence, Job satisfaction, job commitment,
job performance
JEL Classification: Z000
Syeda Shahida Batool1, Nighat Parveen2 & Syeda Azra Batool 2
1&2 -Dept of Psychology, GC University Lahore, Pakistan
3-Dept of Economics, BahauddinZakariya University, Multan, Pakistan
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Emotional Intelligence (EI) works as an inseparable unit working
crosswise over commonly cognitive and emotional system (Sternberg,
2000). EI skill enables individuals to effectively deal with difficult
situations and it becomes easier for them to manage stress. The EI
enables people to know themselves in a better way, and recognize the
emotions and feelings of other people to become more efficient in
communication and social and work place relationships (Van Jaarsveld,
2003). In understanding and estimating individual performance at work,
EI is a factor that is potentially useful (Bhalla & Nauriyal, 2004). People
with higher EI have higher self-reliance and do well in their jobs, use
effective leadership styles and have greater impact on their staff to
motivate them and are healthier individuals (Cooper & Sawaf, 1997).
Literature illustrates that EI brings responsibility and dedication,
commitment and trust between personnel in the organization, which
help to yield higher output and competence among workers (Cooper
& Sawaf, 1997). Martinez (1997) argued that 20% success of employees’
work performance depends upon IQ and 80% on EI.
Job commitment is a key element in human plan of action
administration (Bargh, McKenna, & Fitzsimons, 2002). Literature
illustrates that EI has exceptionally significant impact on job
commitment (Velmurugan & Zafar, 2010). Emotionally intelligent
employees show sympathy toward the organizations by illustrating
their obligations with responsibility and keep their emotional state
high even in the discriminating times (Ashkanasy, Ascough,
Ashkanasy & Daus, 2005; Velmurugan & Zafar, 2010). Abraham (2000)
supports the role of EI in individual’s capacity to support others, and
in appreciating more commitment with their specific organization.
Job commitment may be influenced by other job related
consequences like, overall turnover, job role, job effort, Job
satisfaction, earnings and employee’s performance or vice versa
(Cooper-Hakim & Viswesvaran, 2005; Herscovitch, 2000). There are
also well-built evidences that EI is a fundamental indicator of work
performance and Job satisfaction (Kafetsios & Zampetakis, 2008). It is
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normally believed that workers with higher EI will have greater job
satisfaction. This could be due to the fact that workers with higher EI
are capable of developing ways of coping to overcome the likely
effects which may arise out of stress; while, those with lower EI
would not be in a position to overcome the stress situation. High EI
supports to arrive at job satisfaction (Hassankhooei, 2006; Mehdi,
Habib, Salah, Nahid, & Gashtaseb, 2012). Similarly, enhancing the EI
of employees enhances personal job performance and overall
productivity of an organization as well (Gardner, 2003). Various
emotional intelligence aspects for example, accomplishment drive,
developing others, adaptability, impact and self-assurance
distinguished famous top performers from average ones (Mcclelland,
1998). High level of EI results in better performance whereas, low EI
level results in second rate performance in stressful work conditions
(Lyons & Schneider, 2005), and performance can be tested and
upgraded through certain extents of EI (Côté & Miners, 2006;
Quoidbach & Hansenne, 2009).
Literature unveils triangular relationships among emotional
intelligence, job commitment, job satisfaction, and job performance.
On the one hand the EI appears as a predictor of job commitment, job
satisfaction, and job performance. Alternatively and unsurprisingly
job satisfaction and job performance have been taken as salient
positive correlates of organizational commitment. A large portion of
the writings on job satisfaction and job commitment depicts that
employee show stronger commitment to their work, if they are satisfied
with their work. (Malik, Nawab, Naeem, & Danish, 2010; Yang & Chang,
2007)). Likewise, Benkhoff (1997) studied the link between employees’
job commitment and performance in terms of sales targets met and
change in profits in the branch network of a bank, and found that
employees’ job commitment is significantly related with the financial
success of the bank branches. There is profound evidence on positive
relationship between job commitment and job performance (Chen,
Silverthrone & Hung, 2006; Khan, Ziauddin, Jam, & Ramay, 2010).
Chugtae and Zafer (2006) conducted a study among university
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teachers in Pakistan. The Findings indicated that highly committed
teachers outperformed as compared to uncommitted teachers. Lee
and Olshfski (2002) studied job commitment of firefighters in New
York, and concluded that job performance is significantly related to
the job commitment of the employees.
Conceptualization of the study
Emotional intelligence not only appeared to significantly
predict job commitment (e.g., Gardner, 2003; Velmurgan & Zafar, 2010),
it also has remarkable impact on job performance (O’Boyle, Humphrey,
Pollack, Hawver, & Story, 2010) and job satisfaction (Kafetsios &
Zampetakis , 2008; Sy et al., 2006) as well. Gardner (2003) was the first
who found that job satisfaction significantly mediated between the
relationship of EI and job commitment. Since, Job performance and
Job satisfaction are joined as: “delightful worker’s output is higher”
(Robbins, 1999). This stance on the relationships between job
satisfaction and job performance and Gardner’s work have provided
us with new channel to hypothesize the mediational model assessing
the mediating role of job satisfaction and job performance in the
relationship between emotional intelligence and job commitment. To
the best of our knowledge, no work has been initiated to study the
mediating role of job satisfaction and job performance in the
relationship between emotional intelligence and job commitment
simultaneously.
Research Design
This is a correlational study and cross-sectional research
design was employed for the purpose of examining the relationship
among emotional intelligence, job satisfaction, job performance and
job commitment.
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Research Question
Do job satisfaction and job performance mediate the relationship
between emotional intelligence and job commitment?
Hypotheses
H1: There would be a significant positive relationship between
emotional intelligence and job satisfaction.
H2: There would be a significant positive relationship between
emotional intelligence and job performance.
H3: There would be a significant positive relationship between
emotional intelligence and job commitment
H4: There would be a significant positive relationship between job
satisfaction and job commitment.
H5: There would be a significant positive relationship between job
performance and job commitment.
H6: Job satisfaction and job performance will mediate the relationship
between emotional intelligence and job commitment.
The first five hypotheses were constructed to execute the
requirements of mediational analysis (Baron & Kenny, 1986).
Method
Sample
A sample of 200 bank employees (e.g., operational manager,
customer service representative, chief teller, universal teller,
relationship officer, and personal banker) were recruited from different
banks in Lahore district (male = 140 and Female = 60).The age range of
the participants was from 30 and 59 years (Meanage = 39.28, SD= 6.82).
Purposive sampling strategy was used to recruit the participants of
study. The minimum level of education of the participants was
graduation, and maximum education was MPhil (see Table 1). Bank
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employees with at least one year experience to ensure their
acculturation with the bank employment were included in the study.
Instruments
Organizational Commitment Questionnaire (OCQ: Mowday, Steers,
& Poter, 1979)
This instrument was administered to measure the job
commitment of the employees. For the measurement of job commitment,
OCQ is the most commonly and widely deployed instrument. It includes
15 items which are helpful in measuring the identification level of
employees with the company or organization they work for. The
instrument provides a 5-point Likert type format. The response options
for the questionnaire range from 1= strongly disagree (SD) to 5=
strongly agree (SA). Higher scores portray stronger commitment to
the organization. This instrument has high convergent and predictive
validity and reliability (Barge & Schlueter, 1988).The Cronbach’s alpha
of the scale for this study is .75.
Job Satisfaction Survey (Spector, 1997)
This survey was used for the purpose of measuring job
satisfaction among employees. It consists of 36 items including 9
component scales which are used for the purpose of assessing the
varying employee attitudes which they hold in relevance to different
aspects of their jobs: promotion, salary, supervision, procedure for
operations, contingency rewards, work nature, communicating with
other employees, co-workers and fringe benefits. Each of these
components is assessed and evaluated using four items. The total
score is determined from the summation of scores on all items. The
response range is from strongly disagree to strongly agree. It is
imperative that half items for this scale should be scored in a reverse
order (2,4 ,6, 9, 10, 12, 14, 16, 18, 19, 21, ,23, 24, 26, 29, 31, 32, 34 and 36).
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The scale shows promising validity and reliability (Spector, 1997).
The computed Cronbach’s alpha value for this scale is .82.
Role-based Performance Scale (Welbroune, Johnson & Erez, 1998)
It measures the role based performance. It has twenty items
with 5 subscales: job, career, innovation, team and organization (each
sub scale has 4 items), and gives five point rating scale which ranges
from 1 to 5. Needs much improvements= 1, need some improvements
= 2, satisfactory = 3, good = 4, excellent = 5. The Authors of the scale
reported high internal consistency: job scale (.75), innovator (.90),
career (.90), team (.87) and organization (.84) and promising validity.
Computed alpha value of the scale for this study is .88.
Scale of Emotional Intelligence (SEI: Batool & Khalid, 2011)
It contains 56 items with ten well defined factors. SEI
measures self-regard, assertiveness, interpersonal skills, emotional
self-awareness, empathy, flexibility, impulse control, problem-solving,
optimism and stress tolerance. This instrument uses a 4 point Likert
format with 1=never true, 2= true sometimes, 3= more often true and
4 as always true. Higher scores indicate high EI and lower scores
show low EI .The authors have reported promising validity and
reliability. The computed alpha value of the scale for this scale is .88.
Procedure
Sample of the study was approached at their work places
and were briefed about the purpose of the study. Scale of Emotional
Intelligence, Organizational Commitment Questionnaire, and Job
Satisfaction Survey were distributed among bank employees after
obtaining permission from their branch managers, and Role Base
Performance Scale was completed by branch managers. Written
consent was taken from the participants. They were assured that
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their provided information would be kept confidential. Many of the
participants returned the set of questionnaires on the same day and
some took a couple of days. Questionnaires were given to a large
sample to counter the problem of failure of participants to return the
questionnaire. Out of 280 questionnaires, 200 were returned. Data
were analyzed using SPSS version 21.
Ethical Considerations
After the approval of research project by the departmental
Board of Studies, data were collected from June 2014 to October 2014.
Keeping in view the ethical consideration of the research, written
permission was obtained from the authors whose scales were used in
the research. Permission from the branch managers of the banks was
also sought prior to data collection.
Results
Table 1
Demographic Information of the Sample (N = 200)
Variables F %
Age groups in years
30-44 142 71%
45-59 58 29%
Gender
Male
140
70.0
Female
60
30.0
Qualification
BA/BSc
73
36.5%
MA/MSc 124 62.0%
MS/MPhil 3 1.5%
Marital Status
Married
112
44%
Single
88
56%
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Hierarchical Regression
In order to control the demographic variables in the
prediction of job commitment via emotional intelligence directly and
indirectly through the mediation of job satisfaction and job
performance in two separate models, we ran two separate hierarchical
regression analyses.
Table 2
Hierarchical Regression to Predict Job Commitment by
Demographic Variables, Emotional Intelligence, and Job satisfaction
(N =200).
Model B SE β t Sig.
1.
Gender 3.58 1.87 .13 1.92 .563
Qualification -.67 1.36 -.03 .49 .624
Marital Status -.56 1.67 1.02 .33 .735
2.
Gender 3.66 1.82 .14 2.01 .057
Qualification -.21 1.33 -.01 -.16 .875
Marital Status -.22 1.63 -.01 -.13 .889
Emotional intelligence .12 .04 .22* 3.16* .004
3.
Gender 3.29 1.75 .12 1.88 .066
Qualification -.85 1.29 -.04 -.66 .505
Marital Status .452 1.57 .01 .28 .776
Emotional intelligence .03 .04 .05 .65 .517
Job satisfaction .18 .04 .33* 4.29* .002
R
2
= .02, .07, .15,
Note
: *p<.01
Table 2 illustrates that demographic variables (viz., gender,
marital status, and qualification of the participants) did not
significantly predict their job commitment (R2= .02), and the model is
not fit (F= 1.41. p= .238). However, emotional intelligence (EI)
significantly predicted job commitment as 7% variance in job
commitment is accounted for by EI, and model is fit (F 3 = 3.62, p =
.007). When the mediator (job satisfaction) entered in the next step in
the model, it not only increased R2 = .15 and model is improved (F=
6.85, p= 000), it also decreased the value of beta from (β = .22, p= .004)
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to (β = .05 , p= .517), which supports the subsequent mediational
analysis as well (Baron & Kenny, 1986).
Table 3
Hierarchical Regression to Predict Job Commitment by Demographic
Variables, Emotional Intelligence, and Job Performance (N =200).
Model
b
SE
β
t
Sig
.
1.
Gender
3.58
1.86
.13
1.92
.063
Qualification
-
.67
1.36
-
.03
-
.49
.625
Marital Status
-
.56
1.67
-
.02
-
.33
.735
2.
Gender
3.66
1.
82
.14
2.01
.056
Qualification
-
.22
1.33
-
.011
-
.16
.867
Marital Status
-
.22
1.63
-
.01
-
.13
.889
Emotional intelligence
.12
.04
.22*
3.16*
.002
3.
Gender
3.17
1.64
.12
1.92
.056
Qualification
-
1.89
1.23
-
.0
9
-
1.53
.126
Marital Status
-
.17
1.47
-
.01
-
.11
.908
Emotional intelligence .03 .03 .06 .92 .355
Job performance
.38
.05
.45**
6.76**
.000
R
2
= .02, .07, .24,
Note
: *p<.01, **p< .001
Table 3 illustrates that demographic variables (viz., gender,
marital status, and qualification of the participants) did not significantly
predict their job commitment (R2= .02), and the model is not fit (F=
1.41. p= .239). However, emotional intelligence (EI) significantly
predicted job commitment as 7% variance in job commitment is
accounted for by EI, (F 3 = 3.62, p = .007). When the mediator (job
performance) entered in the next step in the model, it not only increased
R2 = .24 and model is improved (F= 12.71, p= 000), it also decreased the
value of beta from (β = .22, p= .002) to (β = .06 , p= .335), which
support the subsequent mediational analysis as well (Baron & Kenny,
1986).
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Table 4
Inter-correlations among Variables (N= 200)
Variable
1
2
3
4
5
1. Age
-
.12
-
.09
.04
.02
2. EI
-
-
.33**
.50**
.22
*
3. JS -
- - .46** .47**
4. JP -
- - - .36**
5. JC -
- - - -
Note: *p<.05, **p< .01.
Table 4 shows inter-correlations between continuous
variables (age, emotional intelligence (EI), job satisfaction (JS), job
performance (JP) and job commitment (JC). Results indicate that age
does not significantly correlate with any other variable in the study.
However, emotional intelligence, job performance, job satisfaction
and job commitment are significantly correlated (r ranged from .22 to
.50; p<.05, p < .01, p<.001), which support the Baron and Kenney’s
proposed pattern of relationships as a prerequisite for mediational
analysis.
Mediational Analysis
(A)
(B)
(C)
Figure1 1
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The comparison of parts ( A, B, C) of Figure 1 shows that the
direct linear relationship between independent variable ( EI: emotional
intelligence) and the dependent variable ( JC: job commitment) not
only decreased, but became insignificant on entering the mediators (
JP: job performance, and JS: job satisfaction), which again supports
the mediational analysis ( Baron & Kenny, 1986). Figure 1 shows that
without mediators, the EI significantly predicts JC (b = .22, p < .01,
total effect). However, in presence of the mediators (job satisfaction
and job performance) predictive relationship between EI to JC (b = .00,
p =.98) becomes non-significant (direct effect).
Figure 2
Figure1 1
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Standardized mediation model showing full mediation of JS
(job satisfaction) and JP(job performance) in the relationship between
EI( emotional intelligence) as predictor, and JC(job commitment) as
an outcome variable.
Results indicate that EI to JS (b = .50, p < .001), EI to JP (b =
.33, p < .001), JS to JC (b = .19, p < .01) and JP to JC (b = .39, p < .001)
are significant paths (indirect effects).
Furthermore to test the significance of indirect effect of job
satisfaction and performance between emotional intelligence and job
commitment, parametric bootstrapping has been used. In
bootstrapping, Monte Carlo method by using 95% bias-corrected
confidence intervals have been examined. Results signify a significant
full mediation of job satisfaction and job performance in relationship
between EI and Job commitment.
Table 5
Standardized Direct and Indirect Effect (N = 200)
Mediation path
Mediator
Indirect
effect
Direct
effect
95% CI
LL UL
EI JC Job satisfaction +
Job performance .23 .00
ns
.14 .31
EI JC Job satisfaction .18 .05
ns
.11 .26
EI JC Job performance .15 .07
ns
.09 .23
Note. Bootstrap sample size = 2000.
All indirect effects are significant at .01 level. All direct effects
are ns = non-significant. Table 5 shows different mediation paths
between emotional intelligence (EI) and job commitment (JC). It appears
that job satisfaction and job performance fully mediate the relationship
between emotional intelligence and job commitment.
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Discussion
The present research was conducted to examine the mediating
role of job satisfaction and job performance in the relationship between
EI and job commitment.
The hypotheses, which were constructed as a prerequisite
to run mediational analysis, were supported in our study (see Table
4). Significant positive relationship between EI and job satisfaction
coincides with the previous work (e.g., Gardner,2003; Monfared;
Kafetsios & Zampetakis, 2008; Mehdi, Habib, Salah, Nahid,
Gashtaseb, 2012).
In the present study, a significant positive correlation
between EI and job performance designates that work performance
relies on personal and interpersonal assets (Seibert, Kraimer, & Liden,
2001). Work performance is enhanced by EI, empowering individuals
to control their feelings in order to adapt effectively to nervousness,
accomplish well under stress, and direct to organizational change.
Different researchers have likewise discovered positive connection
between emotional intelligence and job performance (Côté & Miners,
2006; Lyons & Schneider; 2005; Quoidbach & Hansenne, 2009).
The reason for a significant positive correlation between EI
and job commitment appeared in our study might be that the social
connection inside the organization supports job commitment and
obligation of the staff. Emotional intelligence strongly correlates with
individual’s capacity to get support with others; and thus they appear
to appreciate more commitment with their specific organization
(Abraham, 2000; Gardner, 2003). This finding is consistent with the
previous literature (Ashkanasy et al., 2005; Carmeli, 2003; Humphreys,
Brunsen, & Davis, 2005; Nikolaou & Tsaousis, 2002; Perryer & Jordan,
2005; Sharma, 2005; Velmurgan & Zafar, 2010).
Significant positive relationships between job satisfaction
and job commitment, and job performance and job commitment
appeared in our study are in line with (e.g., Benkhoff, 1997; Chen,
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Silverthrone & Hung, 2006 ; Clerke, 2006; Chugtae &Zafer, 2006; Lee
& Olshfski, 2002).
Finally results of mediational analysis supported our
hypothesized model as job satisfaction and job performance fully
mediated the relationship between emotional intelligence and job
commitment (see Figure 2). For the mediational role of job satisfaction
we find support from (Guleryuz, Guney, Aydýn & Asan, 2008).
However, job performance as a mediator in the relationship between
emotional intelligence and job commitment finds no direct support
from the extant literature. However, O’Boyle et al. (2010) suggested
the predictive strength of emotional intelligence in job performance
and Widyaningrum (2012) has proposed that job performance
significantly predicted job commitment. The results suggest a
provocative idea that management concerns the possibility that a
new form of intelligence pertaining to emotions is indirectly related to
commitment of organization members. Some workers in an organization
work efficiently because they have high EI (Côté & Miners, 2006). A
large portion of the writings on job satisfaction and job commitment
of employees illustrates that employee show stronger commitment to
their work, if they are satisfied with their work (Malik, et al., 2010).
Employees who have high EI could be more skillful in the regulation
of their emotions and are more satisfied and have greater command
over work related skills, which make them more efficient and they
manipulate work outcomes positively (Sy, Tram, & O’Hara, 2006).
Nonetheless, empirical work on the various dimensions of
EI and emotion regulation at work is still limited (Kafetsios &
Zampetakis, 2008). In the light of the results of present study we
recommend EI training among the organizational employees, so that
they become satisfied with their job/work and perform better, which
may lead to boost-up their commitment with the work and
organization. Committed employees are less likely to quit and offer
their best knowledge, expertise, skill and effort for the interests of an
organization and the well-being of their colleagues (Meyer & Allen,
1997; Golden, Veiga, & Dino, 2008; Yang & Chang, 2008; Alniacik,
Cigerim, Akcin, & Bayram, 2011; Yucel & Bektas, 2012).
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Limitations and Recommendations
The study provides useful insight regarding the role of EI in
job satisfaction and job performance and the resultant job commitment.
However, there are some limitations:
The data were collected from only Lahore District. So, there
is a need to collect data from different areas of Pakistan to
enhance the generalizability of the results.
The sample size was not larger enough because limited
number of banks allowed to approach due their work load.
Therefore, study can be replicated with a larger sample size.
No comparison group was taken in the study. So it is
recommended to conduct the future study comparing people
in different fields/organizations.
Study may also be extended by adding qualitative study to
explore the experience of people working in Pakistani context,
regarding their job commitment.
Implications of the Study
The findings could provide strategic plan to human resource
managers and organizational/ industrial professionals in a sense that
if they are encouraged to promote emotional intelligence, they could
increase job satisfaction and job performance, and it will positively
affect job commitment. It could also facilitate the recruitment process,
as most organizations want to retain their employees and expect lower
turnover rate. In the initial process of the selection, employees’ EI
could be examined to predict their future job satisfaction and their job
performance that will determine their job commitment.
Conclusion
The previous literature on EI suggests that there might be an
indirect relationship between EI and job commitment. However, the
current study provided the additional understanding regarding
relationship between EI and job commitment. It is concluded that EI
does not directly affect job commitment; instead the EI determines job
satisfaction and job performance, which leads to lower or higher job
commitment.
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