Himanshu Gandhi,
Research Scholar , Department of
Management Studies
J. C. Bose University of Science and
Technology, YMCA
Faridabad, Haryana, India.
Dr. Manisha Goel,
Supervisor , Department of Management
Studies,
J. C. Bose University of Science and
Technology, YMCA
Faridabad, Haryana, India.
Email: singla_manisha@rediffmail.com, M:9871881788
Dr. Chavi Bhargava
Co-supervisor, MRIU,
Faridabad, Haryana, India.
Abstract
Emotional
Intelligence among individuals has been defined as the ability to process
emotional information and use it accurately for navigating through the social
environment. Varying among individuals, the presence of EI helps provide the
capacity to use emotional information for guiding various thinking processes
and behavioural patterns, in all spheres of life. Job performance is a single
variable which determines how a person performs in his or her workplace and is
related to the productivity of the employee and his effectiveness in
accomplishing a work assigned to him. The present study is aimed to understand
the presence of Emotional Intelligence, and its influence on Job Performance as
perceived by the respondents and determine the relationship between these
variables. Based on the primary data analysis, it has been found that Emotional
Intelligence variables such as organizational awareness, accurate
self-assessment, conscientiousness, self-confidence and service orientation and
teamwork and collaboration contributed positively towards job performance.
Key Words:
Emotional Intelligence, Job Performance, Life Satisfaction, IT/ITeS sector,
Employees, Leadership Strategies,
Introduction
Emotional
Intelligence directly influences job performance positive attitude, self-regulating capabilities, positive
behavior, agreeableness, cognitive abilities and organizational commitment.
Differences in emotional intelligence levels of individuals along with their respective cognitive
capabilities in perceiving the source of pressure at workplace that causes
stress directly impacts the handling of the job related stress.
Emotional
intelligence varies from person to person. There are individual differences
between people and in their ability to connect thought processes to emotions.
As a consequence, people with better EI have better capabilities of connecting
thoughts with feelings. Eventually, they are in a better position than others
where they are able to understand the emotions of others from what they utter.
Differences between the emotional intelligence of different individuals play a
crucial role in determining their positions as organizational leaders. The
people who are able to recognize and manage moods and emotions of themselves as
well as that of others are able to perform as effective leaders.
Petrides
(2001) defined as EI as a conglomerate of behavioral dispositions and
self-distinguished capabilities that can be measured through self-reports.
Mayor et al (2004) suggest that emotional intelligence is the ability to
process emotional information and use it accurately for navigating through the
social environment. Thus, an individual with improved EI is able to perceive
all the emotions properly, access them accurately and generate emotions that
are capable of assisting various thought processes, understand others’ emotions
and emotional information, and regulate them so that intellectual and emotional
growth are achieved. Coleman (2008) defines EI as the ability of an individual
to be familiar with their own emotions as well as that of others, along with
the ability to distinguish between different feelings and label them correctly.
Further, EI also provides the capacity to use emotional information for guiding
various thinking processes and behavioral patterns.
Literature Review:
In pursuit of understanding the role of Emotional
Intelligence in organizational behavior, several researchers have derived tests
for accurate measurement and assessment of Emotional Intelligence among
employees and leaders, including MSCEIT, Diagnostic
Analysis of Non-Verbal Accuracy, Goleman’s model of ECI, ESCI and ESCI-U,
TEIQue, EQ-I, SUETI and Schutte EI Model, each measuring different
dimensions of emotions in individuals.
Several researches have been made
by eminent scholars for understanding the correlation between emotional
intelligence and job performances. For instance, Wong and Law (2002) made a
research on the link between emotional intelligence and job performance by
focusing upon the leader as well as the followers in an organization. While this study agrees with the conventional
idea that emotional intelligence is a core variable which determines the level
of performance of leaders in an organization, it also emphasizes that in order
to experience positive job performance it is essential to link positive
emotional intelligence of leaders and followers with their work. This is established by means of the finding
that emotional labour of the leaders and the followers regarding the work has
an influencing effect on the correlation between emotional intelligence and job
performance. When the emotional intelligence of the followers is positive, it
has positive effect on their job performance and job satisfaction, and vice
versa. On the other hand, when the emotional intelligence of the leaders of the
group is positive, it has positive influence on their job satisfaction and
commitment to serve extra roles for their organization.
Carmeli (2003) conducts study on
the relationship between emotional intelligence and job performance in order to
find out how these factors determine success of senior managers in an
organization. Through research, the
scholar suggests that relationship exists between emotional intelligence and
job performance in the manner that the emotional intelligence augments positive
attitude among the employees about the work. This has a correspondingly
positive impact on their behaviour and attitude towards the work and the
responsibility vested upon them by their organization. Eventually, the outcome of their performance
also turns out to be positive.
Rosete and Ciarrochi (2005)
conduct a similar study in order to understand the correlation between
emotional intelligence and job performance in order to find out how cognitive
abilities affect leadership effectiveness of different people in
individualistic manner. The findings of
this study agree with that of Carmeli in suggesting that there is a direct
connection between the cognitive ability of an individual with that of his
respective job performance. The researcher further suggests that people with
higher emotional intelligence make better and more efficient leaders.
The research conducted by on the
link between emotional abilities and workplace performance Shaffer and Shaffer
(2005) conducted a practical test on managers in Hong Kong based organizations.
While affirming that there is a connection between the cognitive and emotional
abilities of individuals and their workplace performance, the researchers
emphasized on two specific components of emotional intelligence, namely,
agreeableness and conscientiousness. It has been established through this
research that agreeableness of the employees has a positive link with their
contextual performance at the workplace. Similarly, conscientiousness of the
employees has been related to their task based performance.
The linkage between emotional
intelligence and job performance has been further affirmed by the study of
Thomas et al (2006). The researchers found out that there is a positive
correlation between emotional intelligence and job satisfaction. However, the research explored a completely
new angle of this correlation. Simultaneously with affirming that there is a
direct link between emotional intelligence of an individual employee with his
job performance, it also presents that the level of emotional intelligence of
the leader of a group or manager of an organization also impacts upon the
quality of performance of the employees. Specifically speaking, there is
noticeable improvement in the quality of job performance of the employees with
lower emotional intelligence who operate under managers or leaders with high
emotional intelligence. Thus, through this research the scholars not only
present the traditional relationship between emotional intelligence and job
performance, but simultaneously pin point towards cognitive ability leader as
an important factor that determines
the performance of the employees under
him as well.
However, a study on emotional
intelligence, cognitive intelligence and job performance conducted by Cote and
Miners (2006) present contradictory information. The research conducted by
these two scholars on the topic confirms that emotional intelligence of an
individual and his job performance are correlated. Nonetheless, they suggest
that this correlation is purely hypothetical. Moreover, they become further
critical in suggesting that when the cognitive abilities of the individual is
an essentially dominant factor. This single factor influences both emotional
intelligence and job performance and can lead to unexpected outcomes that defy
the traditional notion about the link between emotional intelligence and
performance at work. Through research the scholars establish that when
cognitive abilities of some employees are found to be lower than others, it
correspondingly leads to their outstanding job performance.
Carmeli and Josman (2006)
conducted a study on the same topic in order to find out whether there is
really a correlation between emotional intelligence and job performance. While beginning the study, the scholarly commentary
agrees the opinion of Cote and Miners in suggesting that this correlation is
purely theoretical. But they suggest that the primary reason behind it is lack
of adequate research on the topic to establish a practical connection between
emotional intelligence and job outcome. Therefore, the scholars conducted
further empirical study to examine the link between emotional intelligence and
two aspects of work outcome, namely job performance and organizational
citizenship behaviour of the employees. The findings confirm that there practically
assessable relationship exists between emotional intelligence and work outcome
of the employees. Thus, when the emotional intelligence of the employees and
their leaders are higher, it is bound to result in positive outcome in case of
their job performance and their belongingness to their organization.
In order to examine the practical
utility of the correlation between emotional intelligence and job performance,
Law et al (2008) conducted research on research and development scientists of
China. The research findings of the scholar not only establish that the
relationship between these two components are quantifiable, but simultaneously
present a new perspective on this relationship. According to these scholars,
scales for measuring emotional intelligence of the employees of an organization
serves as an efficient predictor of their respective job performances. They
further comment that this quantifiable scale serves even more effectively when
self-reported EI scales are developed instead of using generic EI scales.
The positive and measurable
relationship between emotional intelligence and job performance have been
further established by Güleryüz et al (2008) who additionally indicate job
satisfaction as a mediator between emotional intelligence of the employees and
their commitment towards their work that influences their job performance. Job
satisfaction also serves as a mediator that determines the self-regulating capability of individuals
regarding their emotions, cognitive abilities and organizational commitment.
Research has been conducted by
O’Boyle et al (2011) in order to make an estimate on the relationship between
emotional intelligence and job performance by referring to latest
meta-analytical studies. The purpose of this research has been to find out if
cognitive abilities of different individuals have any impact on their
respective performances at the workplace. The findings of the research
correlate with that of Carmeli in suggesting that emotional abilities of
individuals have different impact upon their corresponding job performances.
However, the research findings further suggest that since cognitive abilities
of different people correlate differently with individual attributes of people
such as neuroticism, openness, flexibility, agreeableness and meticulousness so
it results in differences in their performances at the workplace.
While researching on the link
between emotional intelligence and job performance, Wu (2011) also emphasizes
upon the individual cognitive abilities of different people. The scholar suggests that work performance
of individuals depend to a great extent upon the job stress that they encounter
at workplace and the manner in which they implement their cognitive abilities in
handling it. Here, the scholar hints towards the differences in emotional
intelligence of different individuals and their respective cognitive
capabilities in perceiving the source of pressure at workplace that causes
stress and handling them effectively.
Thus, employees with higher emotional intelligence are more capable of
reducing or transforming the potential
negative consequences of job stress on their work performance as compared to
employees with low emotional intelligence. The study further affirm components
of emotional intelligence such as cognitive abilities, personality traits,
emotional labour demands and job
complexity as factors that determine the stress handling capabilities and
relative job performance. Thus, employees with higher degree of overall
emotional intelligence and emotional perception abilities exhibit better
performance even in case of works that feature high work demands.
In many of the studies, Emotional Intelligence has been found
to have an impact on Job Performance and Life Satisfaction. There is still a need to understand the impact
of Emotional Intelligence on Job Performance and finally affecting Life
Satisfaction.
Research Methodology:
The present study
is an exploratory research to understand and establish a cause and effect
relationship between Emotional Intelligence and Job Performance. The major
objective of the study is to explore the impact of Emotional Intelligence on
the job performance of employees. The study takes into consideration the IT
service industry in India. The study aims to understand the relationship
between different aspects of emotional intelligence such as relationship
management, social awareness, self-awareness
and self-management with job performance.
For this purpose of
the study, 300 employees from five IT/ITeS organizations based in New Delhi-NCR
of five IT companies i.e. Google, Computer Science Corporation (CSC), HCL,
Ericson and Cognizant. with the help of structured questionnaire. Brief Mood Introspection Scale (BMIS) has been
used to know pleasant-unpleasant mood of employees through the conversion of
4-point version of Meddis for all 16 adjectives i.e., XX, X, V, VV for
definitely do not feel, do not feel, slightly feel and definitely feel. The
pleasant-unpleasant mood was calculated using sum of responses scale to numbers
and reverse scoring the unpleasant adjectives as shown in the table 1.
Table 1
BMIS after conversion of Meddis response scale to number
|
XX |
X |
V |
VV |
Lively |
1 |
2 |
3 |
4 |
Happy |
1 |
2 |
3 |
4 |
Peppy |
1 |
2 |
3 |
4 |
Loving |
1 |
2 |
3 |
4 |
Active |
1 |
2 |
3 |
4 |
Caring |
1 |
2 |
3 |
4 |
Content |
1 |
2 |
3 |
4 |
Calm |
1 |
2 |
3 |
4 |
Sad |
4 |
3 |
2 |
1 |
Tired |
4 |
3 |
2 |
1 |
Gloomy |
4 |
3 |
2 |
1 |
Jittery |
4 |
3 |
2 |
1 |
Drowsy |
4 |
3 |
2 |
1 |
Nervous |
4 |
3 |
2 |
1 |
Fed up |
4 |
3 |
2 |
1 |
Grouchy |
4 |
3 |
2 |
1 |
The Brief Mood Introspection
Scale (BMIS)[13] is a freeware mood scale that determines the moods of the
respondent on the basis of their response to 16-mood adjectives set. This scale
is based on 4 dimensions, Pleasant-Unpleasant, Arousal-Calm, Positive-Tired and
Negative-Relaxed.
BMIS score and mood values of the survey respondents have
been reflected in table 2.
BMIS
Score and Mood values of the Survey Respondents
|
Overall Score |
Overall Mood |
|
N |
Valid |
300 |
300 |
Average |
41.199 |
5.493 |
|
Mean |
2.53 |
5.49 |
|
Std. Error of Mean |
.043 |
.143 |
|
Median |
3.00 |
6.00 |
|
Mode |
2 |
6 |
|
Std. Deviation |
.734 |
2.469 |
|
Variance |
.539 |
6.097 |
|
Skewness |
.114 |
-1.665 |
|
Std. Error of Skewness |
.141 |
.141 |
|
Kurtosis |
-.304 |
4.521 |
|
Std. Error of Kurtosis |
.281 |
.281 |
|
Range |
3 |
15 |
|
Minimum |
1 |
-5 |
|
Maximum |
4 |
10 |
|
Percentiles |
25 |
2.00 |
6.00 |
50 |
3.00 |
6.00 |
|
75 |
3.00 |
6.00 |
The BMIS scale, the
mood adjective scale, that analyses the short term moods of respondents,
consisted of 2 adjectives from eight mood states as well as the overall mood at
the Pleasant-Unpleasant scale. In the present study, the Pleasant-Unpleasant
scale was used and the ‘reverse scoring’ method, as given in the questionnaire
instructions, was used for calculating the final score. As seen from the table,
the average BMIS score was 41 (above average in the 16-64 score range)
suggesting that the respondents of the survey were in a ‘Mildly Pleasant’ mood.
Moreover, the Mean of the BMIS scoring was at 2.53, with a Standard Deviation
of 0.734. Also, Variance for the BMIS score was found to be at 0.539, showing
very little variation in the values and hence moods of the survey respondents.
When observed further, the BMIS scale scores was divided into four ranges,
16-27, 28-40, 41-52 and 53-64 and the frequency of the respondent scores within
these ranges was determined by frequency analysis. As seen from the table, the
highest frequency was found in the 28-40 BMIS score range (44%), followed by
the 41-53 BMIS score range (41.3), suggesting that the dominant moo among the
survey respondents was between Mildly Unpleasant to Mildly Pleasant. However,
when compared with the average scores value derived ‘Mildly Pleasant’, it can
be concluded that there were a significant number of respondents in a ‘Very Pleasant’ mood. Frequency
and percentage of overall scores and mood of the survey respondents has been
depicted in table 3 below;
Frequency
and Percentage of Overall Scores and Mood of the Survey Respondents
Variables |
Categories/Range |
Frequency |
Percent |
Overall BMIS Score |
16-27 |
17 |
5.7 |
28-40 |
131 |
44.0 |
|
41-52 |
124 |
41.6 |
|
53-64 |
26 |
8.7 |
|
Total |
300 |
100.0 |
|
Overall Mood |
-5 |
4 |
1.3 |
-2 |
4 |
1.3 |
|
0 |
14 |
4.7 |
|
2 |
9 |
3.0 |
|
3 |
9 |
3.0 |
|
4 |
17 |
5.7 |
|
5 |
15 |
5.0 |
|
6 |
180 |
60.0 |
|
7 |
9 |
3.0 |
|
8 |
15 |
5.0 |
|
9 |
15 |
5.0 |
|
10 |
9 |
3.0 |
|
Total |
300 |
100.0 |
Besides the Overall
BMIS score, the ‘Overall Mood’ values as given by the respondent was analysed.
As seen from then Table, the Average Overall Mood of the survey respondents was
5.5, which signifies that the average respondent in the present survey felt ‘Mildly
Pleasant’. Comparing these self-reported mood scores of respondents with the
calculated overall BMIS scores, it can be seen that both reflected the moods
accurately, suggesting that the scale results were valid for the survey. The
importance of employee moods in service sector is of high significance, since
they have to routinely deal with customers and clients and are hence under
constant pressure to create a positive vibe, which along with the work pressure
can take a toll on the employee. Organizational behaviour studies have revealed
that when customers are exposed to hostile employees or employees in unpleasant
mood, they experience a higher rate of dissatisfaction as compared to pleasant
moods of employees, irrespective of the quality of the task performed by the
employee. Frequency analysis of individual self-reported mood scores showed
that the highest frequency was found for the score of ‘6’ among the survey
respondents at 60% suggesting that a dominant section of the respondents felt
‘Mildly Pleasant’ during the survey. This value again corroborates the initial
findings of feeling ‘Mildly Pleasant’ among the survey respondents. The mildly pleasant mood of the survey
respondents has significant implication in understanding the extent of importance
Emotional Intelligence has on the Job performance and Life Satisfaction
perception.
The relationship
between Emotional Intelligence and Job Performance of employees has been
established with the help of correlation and regression. As seen from Table 4, there
is high correlation between Service Orientation dimensions, Conscientiousness, Organizational
Awareness, Accurate Self-Assessment, Self-Confidence and their job performance.
Since the p value is less than 0.05, it shows significant relationships between
these variables. Organizational awareness (α= 0.952, p= .000), being aware of
the different aspects of the organization, showed the highest correlation with
Job performance, followed by Self-Awareness dimension of Emotional Intelligence,
the Accurate Self-Assessment (α= .926, p= .000. Organizational awareness, the
ability to read a group/team’s emotional trends and power relationship, as well
as the decision networks at the organizational level, enables the individuals
to take part in the team activities and hence perform better in their jobs.
Table
4
Correlation Coefficients of dimensions of
Emotional Intelligence and Job Performance
Variables |
Pearson Correlation |
Sig. (2-tailed) |
Emotional self-awareness |
.730** |
.000 |
Accurate self-assessment |
.926** |
.000 |
Self-confidence |
.850** |
.000 |
Empathy |
.798** |
.000 |
Service Orientation |
.896** |
.000 |
Organizational Awareness |
.952** |
.000 |
Self-Control |
.750** |
.000 |
Trustworthiness |
.704** |
.000 |
Conscientiousness |
.945** |
.000 |
Adaptability |
.640** |
.000 |
Achievement drive |
.793** |
.000 |
Initiative |
.671** |
.000 |
Developing others |
.761** |
.000 |
Influence |
.692** |
.000 |
Communication |
.706** |
.000 |
Conflict management |
.553** |
.000 |
Leadership |
.503** |
.000 |
Change catalyst |
.829** |
.000 |
Building bonds |
.807** |
.000 |
Teamwork & collaboration |
.840** |
.000 |
**. Correlation is significant at the 0.01
level (2-tailed).
In case of
Conscientiousness (α= 0.945, p= .000), a Self-Management dimension of Emotional
Intelligence pertaining to responsible behaviour and careful planning showed a
significant positive relationship with Job performance. Service Orientation (α=
.896, p= .000), another Social awareness dimension, related to being
responsible towards meeting clients/customers’ needs, showed a significantly
strong relationship with Job performance for employees, Moreover, Self-confidence
(α= .850, p= .000) also showed significant strong relationship with Job
performance, suggesting that confidence within self can reflect positively on
the job. Self-confidence not only leads to job satisfaction, but employees with
high levels of self-confidence are able to adapt well to their work, tackle
problems better and can even facilitate participation of members for
tasks/activities/decisions.
Besides these
highly correlated Emotional Intelligence dimensions, few variables have been seen to show low correlation, especially
Leadership (α= .503, p= .000) and Conflict Management (α= .553, p= .000), both
under the Relationship Management dimension. It can hence be seen that, out of
the four main dimensions of Emotional Intelligence, Relationship Management has
the weakest relationship with Job Performance for the employees. In spite of
the low significance of leadership variable as an emotional intelligence for
efficient Job Performance, it has been known that while high emotional
intelligence among leaders can leader to their better job performance,
employees who are self-aware and hence capable of empathy can efficiently
influence and lead their peers either in decision making process or completion
of a task.
Moreover, the four
dimensions of emotional intelligence are highly interlinked, since
self-awareness in an employee aids in self-management, and the combination of
the two in turn, leads to effective relationship management. Following
correlation, regression studies, specifically the coefficients have been also
performed in order to understand the effect of dimensions of Emotional
Intelligence on Job Performance. The results of regression have been depicted
in table 5. As seen from the Table 5,
several variables of Emotional Intelligence have been found to contribute more significantly
towards job performance than others, including Conscientiousness,
Self-Confidence, Service Orientation, Teamwork and Collaboration and Accurate
Self-assessment. These variables have been
found to have high significance (p= .000) with respect to their
relationship with job performance for employees. Collaboration and teamwork
ability of individuals is highly advantageous within teams, since it can lead
to individual and team creativity, which further contributes to organizational
performance, this ability is also known to be aided by trustworthiness of the
employee leading to enhanced job and team performance.
Regression Coefficients of dimensions of
Emotional Intelligence and Job Performance
Variables |
Standardized Coefficients |
t |
Sig. |
(Constant) |
|
-9.302 |
.000 |
Emotional self-awareness |
-.014 |
-1.168 |
.244 |
Accurate self-assessment |
.159 |
5.866 |
.000 |
Self-confidence |
.140 |
7.270 |
.000 |
Empathy |
.025 |
1.762 |
.079 |
Service Orientation |
.123 |
6.513 |
.000 |
Organizational Awareness |
.152 |
5.743 |
.000 |
Self-Control |
.060 |
4.057 |
.000 |
Trustworthiness |
-.019 |
-1.275 |
.203 |
Conscientiousness |
.213 |
8.714 |
.000 |
Adaptability |
-.034 |
-1.932 |
.054 |
Achievement drive |
-.006 |
-.328 |
.743 |
Initiative |
.039 |
2.559 |
.011 |
Influence |
.072 |
4.667 |
.000 |
Communication |
-.042 |
-2.379 |
.018 |
Conflict management |
.020 |
1.610 |
.108 |
Leadership |
-.005 |
-.349 |
.727 |
Change catalyst |
.051 |
3.380 |
.001 |
Building bonds |
.072 |
4.481 |
.000 |
Teamwork & collaboration |
.105 |
5.895 |
.000 |
a. Dependent Variable: Job Performance
In case of Service
orientation, the ability of employees to analysing and meeting customers’ and
clients’ needs, the presence of high service orientation in employees makes
them highly responsible in meeting deadlines and demands, as well as use lesser
energy for self-regulation and self-control that is required while dealing with
clients/customers, thereby making them highly suitable for services related job.
At the organizational level, higher service orientation in employees is highly
advantageous, since service orientation in service related organizations
directly leads to customer satisfaction and hence improved financial
performance of the organization.
Consequently,
service orientation ability plays a significant role in the present research,
since the service industry’s principle focus is meeting the needs of their
clients and customers. Also, the remaining variables that individually
contributed significantly towards Job Performance have also been shown to have
a strong significant correlation with the dependent variable, thereby stressing
on the importance of these variables in the study. A unique observation however
has been the significantly negative influence of the variable
Communication
towards Job performance, since previous literature has shown the opposite
relationship. Communication skills and effective interpersonal communication
among employees can contribute significantly towards job satisfaction, which in
turn can lead to productivity and hence improved job performance. However, the
contradictory observation in the present study needs to be understood, in terms
of contributing factors that has led to poor job performance in spite of superior
communication skills of employees.
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