Perceived Organizational Support and
Employee Citizenship Behaviors an Intermediating Variable between LMX and
Service Performance
Dr.
Mushtaq A Siddiqi1, Owais Ahmed2
1Associate Professor, The Business School,
University of Kashmir, Srinagar.
2Ph.D Scholar, I. K. Gujral
Punjab Technical University, Jalandhar, Punjab,
144603.
*Corresponding Author E-mail: drmushtaqs@gmail.com;
mailmushtaq@kashmiruniversity.ac.in, salsaabiill@yahoo.com
ABSTRACT:
Leader Member Exchange theory
believes that leaders from different relationships with different members
ranging from high quality to low quality. High quality relationships exist with
in-group members and are characterized by mutual trust, respect, and
responsibility while as low quality exist with out-group members and are
restricted to economic exchanges, formal job requirements. LMX has been in
significant relationship with various job attitudes like employee satisfaction,
involvement, engagement across different service sectors like health,
hospitality. However, exploration of LMX in service sectors like insurance,
banking and postal is rare in LMX literature. Therefore, the current study
would study LMX in relation with perceived organizational support,
Organizational Citizenship Behavior and service performance of employees across
banking, insurance and postal service sectors of the State of Jammu and
Kashmir. The Survey method with structured questionnaires and interviews are
used as techniques of data collection. A sample size of 100 respondents
representing middle management, frontline staff, lower level employees and
customers were part of the study. Data was analyzed using data analysis tool
SPSS. Techniques like descriptive statistics and multiple regression analysis
were used to analyze and interpret data and results. The statistical
coefficients revealed significant and positive relationship between LMX and
POS; LMX and OCB; LMX and Service Performance; POS and Service Performance and
OCB and Service Performance.
KEY
WORDS: LMX,
POS,OCB and Service Performance.
INTRODUCTION:
LMX theory, a contemporary thought in Leadership literature
believes that leaders don’t follow general approach of managing their
subordinates by giving them equal treatment. Rather, LMX is of the opinion that
leaders develop different relationships with different followers based on their
perception of competence, skill, personality, ethnicity possessed by
subordinates. Leaders develop high quality relations with in-group members and
low quality with out-group members. High quality relationships are
characterized by mutual trust, respect, and confidence and are social in nature
while as low quality relationships are bound to adhere job contract norms,
procedures, assignments, and are economical in nature.
Leaders establish in-group relationships with limited number of
subordinates due to scarcity of time, resources; personality, education,
gender, ethnicity etc. Out-group members represent the majority of work force
who lack access, interaction, resources, responsibility, and autonomy. LMX
influence various job attitudes like employee satisfaction, engagement,
involvement, commitment and work outcomes like employee performance,
productivity, profitability, customer satisfaction, retention, etc. LMX has
received moderate attention of scholars in recent past across different sectors
like hospitality, health, education. However, least research has been carried
out in service sectors like insurance, banking and postal. The current study
would be an Endeavour to explore LMX, POS, OCB and Service Performance
relationship across these sectors of service economy from the State of Jammu
and Kashmir.
Impact of LMX on Job attitudes
and Service Performance Model:
Note: LMX-Leader Member Exchange, POS-Perceived Organizational
Support, OCB-Organizational Citizenship Behavior, SP-Service Performance.
RATIONALE:
Leader Member Exchange has been a well-established construct in
fields like psychology, organizational behavior, human resources. However, LMX
in marketing field of management is rare kind of combination. The current study
would explore LMX, relationship of LMX with job attitudes like POS and OCB,
relationship of LMX with service performance of employees, relationship of POS
and OCB with service performance, across service sectors like insurance,
banking and postal. The findings from the current study would be of immense
help for marketing managers, academicians, scholars, practioners etc while
understanding subjective or qualitative elements like relationship quality and
their impact on objective or quantitative forms like employee performance,
productivity, profitability. Employee attitudes had been the centre of focus
for stakeholders of an organization like leadership, management, executives
while formulating and executing strategies. However, qualitative aspect like
relationships had never been given significance; instead economic aspect
dominates like formulating reward systems, incentives, pay hike etc. The
current study would bring in new insights and perceptions regarding antecedents
and consequences of employee work attitudes and outcomes. The findings would
help in overhauling the existing frameworks used for formulating strategies
especially in marketing management field. Also, sectors like insurance, banking
and postal services were least represented in past LMX studies. Therefore,
current study would be an Endeavour to conduct LMX in these sectors.
REVIEW OF RELEVANT LITERATURE:
Leader member exchange refers to the relationship between
immediate supervisor and subordinate in an organization1. LMX
relationship could be of high quality and low quality. High quality
relationships are characterized by more responsibility, trust, respect,
confidence between leader and member2. Low quality relationships are
economical and formal in nature. High quality relationships are formed with
in-group members while as out-group members are involved in low quality
relationships. In-group members are less in number and are perceived as competent,
able, skilled, and responsible by the supervisors while as out-group members
represent majority who were deprived in-group status due to scarcity of time,
resources, personality clash, etc.LMX
is a multidimensional construct having dimensions like affect, contribution,
loyalty and professional respect. Affect represents mutual liking of leader and
member based on similar interests. Loyalty represents the support for each other by leader and member
while defending each other’s point of view in public. Contribution deals with individuals
who are seen more capable and are given difficult tasks to complete.
Professional respect represents the repute that an employee or supervisor has
about performing his job with excellence. LMX is enhanced by enhancing performance
on perceived organizational support, psychological empowerment of employees,
fair organizational practices and procedures 3for rewards,
promotion, growth etc.LMX influence employee satisfaction 4,
engagement, commitment 5and other job attitudes. LMX has been in
positive relationship with various favorable work outcomes like employee
performance, productivity, profitability, customer satisfaction, service
quality 6etc
Perceived Organizational
Support:
Perceived Organizational
Support refers to the perception of employees about their organization’s
efforts to understand and value contribution, hard work of their employees by
recognition, care, and concern, for their employees 7.
Organizational support theory believes that in response to high level of
support received from an organization, employees tend to reciprocate by putting
in more efforts, hard work and commitment 8.POS is enhanced by
following organizational practices like fairness (procedural justice) in
rewarding and promoting employees. Organizational rewards and job
conditions leads to the development of
POS. Participation in decision making, information sharing, recognition of
employees, self-management teams, extensive training etc enhances POS. POS
influence employee satisfaction, commitment, performance, organizational
citizenship behavior, loyalty9.
Organizational Citizenship Behavior:
OCB refers to role behaviors
that are not mentioned in job contract, but are being performed by an employee
voluntarily 10. OCB is a multi-dimensional construct that include
altruism, sportsmanship, conscientiousness, civic virtue and courtesy. Altruism
involves helping co-workers with job related or personal problem. Conscientiousness
involve adherence to rules, norms and procedures of an organization like
punctuality, commitment to deadlines, meeting goals or objectives etc.
Sportsmanship involves tolerance to inconveniences at job without complaining.
Civic virtue involves active involvement in the affairs of an organization
safeguarding organizational interests, governance, promoting growth. Courtesy
involve behaviors that prevent suffering of co-workers and could be formal as
well as informal in nature.
OCB is influenced by employee
satisfaction, commitment, perception of organizational justice. Personality
trait like conscientiousness showed positive relationship with all five
dimensions of OCB. OCB enhances productivity of employees. OCB increases
employee performance by 19% in quantity and 18% in quality; financial
performance by 25% and customer service by 38% 11. OCB positively
influence organizational effectiveness in terms of better coordination among
work teams, better utilization of resources, more productivity of employees,
better adaptability of employees to organizational changes etc. OCB has been
linked with empathy (concern for others) and helpfulness (reducing distress of
other people) 12. Employees who are satisfied, committed and have
high levels of organizational justice perception perform more altruistic and
compliance behaviors. OCB shows significant relationships with locus of
control, collectivism, personal initiative etc.
Service Performance:
Employee performance can be
categorized as task performance, contextual performance .Task performance
refers to performance on tasks mentioned in formal job contracts. Contextual
performance represents performance on tasks outside job contracts that
influence co-workers, organization goals, employee growth etc13.
Employee performance has been influenced by employee friendly practices like support
from co-workers, supervisors, management, and organization. Employees
performing tasks like helping co-workers, adapting to flexible working
schedule, taking more responsibility, turning of lights after use etc,
represent contextual tasks that have an impact on individual employees as well
as on organizations.
LMX and Perceived Organizational Support:
Employees perceive their
organizations as supportive when given support from management, co-workers,
resources, open communication, feedback, decision making participation etc14.
Organizations not only create action oriented supportive policies and
procedures but also create channels to communicate the same like through
meetings, emails, circulars etc. LMX believe in delegation of autonomy,
information sharing, feedback, rewards, resources, etc. Since, having
commonality of features between perceptions of organizational support and LMX,
we, therefore propose that LMX would be helpful in creating and enhancing of
perception of organizational support among subordinates.
H1: LMX have a positive impact on perceived organizational
support.
LMX and Organizational Citizenship Behavior:
Employees feel motivated and
perform extra-role tasks like helping co-workers, showing courtesy, when receive positive feedback, recognition,
rewards, etc. LMX inculcate attributes like mutual recognition of effort,
deliberations on goal achievement, reinforcement of positive behavior through
rewards, in high quality relationships. Taking, note of the relationship of
attributes like extra-role tasks or OCB’S and feedback, recognition, rewards.
We, therefore propose that LMX that consist such attributes in addition to
others, would influence organizational citizenship behavior of employees or
subordinates.
H2: LMX have a positive impact on organizational citizenship
behavior of employees.
LMX and Service Performance:
Employees perform their tasks with more concentration, motivation,
when given responsibility, confidence; support15. A sense of
recognition, repute, enhances morale and self esteem of employees that have an
effect on employee performance, productivity. Since, LMX culminate in a
relationship based on features like recognition, encouragement, and confidence.
Therefore, we propose that LMX have a positive impact on employee service
performance.
H3: LMX have a positive impact
on employee service performance.
Perceived Organizational Support and Service Performance
Principle of reciprocity
believe that whenever an individual receive favor from any quarter, such an
individual feel sense of obligation to reciprocate the favor back in some or
the other way16. Organizational support theory is of the opinion
that organizations should provide all kinds of support whether moral,
intellectual, physical etc to their employees to achieve the desired results.
Taking, principle of reciprocity and organizational support theory, into
consideration. We, therefore, propose that perception of organizational support
among employees would enhance their service performance.
H4: POS have a positive impact on employee service performance
Organizational Citizenship Behavior and Service Performance
Employees when given autonomy,
flexible work culture, put more effort while performing routine tasks. Such
employees crave for more creative opportunities; deliver innovative
breakthroughs that lead to more performance and productivity). Since, OCB’S
involve performing extra role tasks in addition to in-role. Therefore, we,
propose that OCB’S would lead to enhancement of employee service performance.
H5: OCB have a positive impact on employee service performance.
METHODOLOGY:
The methodology includes exploring the relationships between LMX
and job attitudes, LMX and service performance and job attitudes and service
performance. The procedures adopted are discussed as:
Data Collection Method and
Sample Size:
Survey method was used as data collection method where in
techniques like structured questionnaires and interviews were used for data
collection purposes. A sample size of 100 respondents includes employees from
different hierarchies like middle management, frontline and lower level staff,
customers.
Research Instruments and Their
Purification
LMX was measured using 2, 7-item scale to ascertain the
quality of LMX between subordinates and supervisors. Responses were recorded on
Likert 5 point scale, ranging from 1- rarely to 5-
very often. Cronbach’s alpha as reliability estimate
was at 0.67 for current study.
Also, the standardized estimate of its constituent items ranged from 0.41 to
0.82. POS was measured by using 17,
(1990), 9-item scale. Likert 5- point scale was used
to measure responses ranging from 1- strongly disagree to 5- strongly agree. Cronbach alpha for current study is 0.66. All the
items provided for a one-dimensional scale (x2 = 18.06, df = 5, p = 0.02,
RMR = 0.02, GFI = 0.93, AGFI = 0.95, CFI = 0.92).The factor loadings of the
items POS were
statistically significant. All dimensions of OCB were
measured by using 12, 10 item scales. Each dimension was measured by
using two items. Likert 5- point scale was used to
measure responses ranging from 1- strongly disagree to 5- strongly agree. Cronbach alpha for current study is .68.Its factor
loading ranged from 0.54 to 0.79. Employee Service Performance is measured by
using a composite of scales blending empathy and excellent job performance
scales with 3 items each from Servqual 18.
Its Cronbatch alpha was estimated at 0.72.
DATA ANALYSIS AND RESULTS:
Using, varimax
rotation, the principal component factor analysis was administered for reduction
of the data. The KMO value of 0.67 and significance of Bartlett’s test was at
0.05 levels indicating the sampling adequacy for conducting factor analysis
Items those indicated low factor loadings (< 0.40), high cross-loadings
(> 0.40), or low communalities (< 0.30) were eliminated for further
analysis. All factors exhibited satisfactory alpha reliability coefficients,
ranging between0.56 and 0.91.
Table 1: Factor Extraction Results.
|
S.No |
Variable |
Items. |
Factor Loadings. |
% Age of Variance. |
|
1. |
LMX. |
Do you know where you stand with your
supervisor…do you usually know how satisfied your leader is with what you do? |
0.65 0.57 0.66 0.47 0.49 0.63 0.68 0.67 |
0.21 0.19 0.24 0.23 0.16 0.26 0.2 |
|
How well does your supervisor
understand your job problems and needs? |
||||
|
How well does your supervisor
recognize your potential? |
||||
|
Regardless of how much formal
authority he/she has built into his/her position, what are the chances that
your supervisor would use his/her power to help you solve problems at work |
||||
|
Again, regardless of the amount of
formal authority your supervisor has, what are the chances that he/she would
“bail you out,” at his/her expense? |
||||
|
I have enough confidence in my
supervisor that I would defend and justify his/her decision if he/she were
not present to do so? |
||||
|
How would you characterize your
working relationship with your supervisor? |
||||
|
Cronbach alpha |
Note: LMX- Leader Member Exchange; Source: Data
collected by Scholars for the study.
Table 2: Factor Extraction Results
|
S.No. |
Variable. |
Items. |
Factor Loadings. |
% Age of Variance. |
|
1. |
POS |
My organization is supportive of my goals and values. |
0.78 0.83 0.79 0.82 0.79 0.66 0.61 0.86 0.84 0.66 |
0.23 0.21 0.28 0.24 0.19 0.29 0.31 0.22 0.27 |
|
Help is available from my organization when I have a problem. |
||||
|
My organization really cares about my wellbeing. |
||||
|
My organization is willing to offer assistance to help me perform my job to the best of my ability. |
||||
|
Even if I did the best job possible, my organization would fail
to notice. |
||||
|
My organization cares about my general satisfaction at work. I consider my job to be very central to my
life. |
||||
|
My organization shows very little concern for me. |
||||
|
My organization cares about my opinions. |
||||
|
My organization is complimentary of my accomplishments at work. Cronbach alpha |
Note: POS- Perceived Organizational Support; Source:
Data collected by Scholars for the study.
Table 3: Factor Extraction
Results.
|
S.No. |
Variable. |
Items. |
Factor Loadings. |
% Age of Variance. |
|
1. |
OCB |
I help others who have been absent. |
0.76 0.81 0.79 0.78 0.79 0.71 0.74 0.84 0.81 |
0.26 0.21 0.28 0.27 0.19 0.26 0.225 0.23 0.26 |
|
I am always ready to lend a helping hand to those around me. |
||||
|
I try to avoid creating problems for co-workers. |
||||
|
I consume a lot of time complaining about trivial matters. |
||||
|
I
obey company rules and regulations even when no one is watching. |
||||
|
I do not take extra breaks. |
||||
|
I keep abreast of changes in the organization or institution. |
||||
|
I
read and keep up with organization or institution announcements, memos, etc. |
||||
|
I
help others who have heavy workloads. |
||||
|
|
|
I
help orient new people even though it is not required. Cronbach alpha
|
0.78 0.68 |
0.29 |
Note: OCB- Organizational Citizenship Behavior;
Source: Data collected by Scholars for the study.
Table 4: Factor Extraction Results.
|
S. No. |
Variable. |
Items. |
Factor Loadings. |
% Age of Variance. |
|
1. |
SP. |
Employees
understand specific needs of customers. |
0.65 0.57 0.66 0.47 0.49 0.63 0.72 |
0.21 0.19 0.24 0.23 0.16 0.26 |
|
Employees
are able to put themselves in customer’s place. |
||||
|
Employees
are able to tune in to each specific customer. |
||||
|
Employees
surprise customers with their excellent service. |
||||
|
Employees
do more than usual for customers. |
||||
|
Employees
deliver an excellent service quality that is difficult to find in other
organizations. |
||||
|
Cronbach alpha |
Note: SP- Service Performance; Source: Data
collected by Scholars for the study.
Impact of LMX on Perceived
Organizational Support:
The statistical values like
mean, standard deviation, correlation coefficients revealed positive and
significant relationships between all variables of the current study. These are
presented in Table 5.Pearson’s
coefficient of correlation (r = 0.32) between LMX and POS revealed positive and
significant (p < 0.01 to 0.05) correlation between the two variables.
Multiple regression analysis also revealed significant impact of LMX on POS and
is presented as: Y1= bx1 + bx2+ + bx7. Where ‘Y1’
represents dependent variable i.e. POS and x1 to x7
represent 7 items or statements of independent variable i.e. LMX.POS data were
entered as dependent variable ‘Y1’ and data pertaining to ‘x1 to x7’
i.e. LMX were entered as independent variable. The results obtained are presented
in Table 6. All items of LMX are positively influencing on POS with item no 5,
being the most influential with (b=0.35, p <0.05). Item numbers 6, 4, 2, and
7 represents the decreasing order of influence on POS with regression
coefficients (b=0.33, 0.31, 0.29 and 0.29 respectively) with significance level
of (p < 0.05). Item no 1 and 3, representing the least influence among all
items of LMX on POS with regression coefficient i.e. (b=0.28, 0.27 and p <0.05).The
overall influence of LMX on POS i.e. (R2
=0.33), reflecting a 33% of
variation in the dependent variable, evidences that there exists a positive
relationship between LMX and POS, thus proving our first hypothesis i.e. LMX
have a positive impact on job attitude like POS.
Table 5:Descriptive Statistics, Inter item Correlations and Alpha
Values of the Variables.
|
S. No. |
Variables. |
Mean. |
Standard Deviation. |
1. |
2. |
3. |
4. |
|
1. |
LMX. |
3.36 |
0.65 |
1 |
|
|
|
|
2. |
POS. |
3.18 |
0.59 |
0.32 |
1.0 |
|
|
|
3. |
OCB. |
3.21 |
0.57 |
0.31 |
0.29 |
1.0 |
|
|
4. |
SP. |
3.28 |
0.62 |
0.34 |
0.32 |
0.31 |
1.0 |
|
|
Cronbach’s alpha. |
|
|
0.67 |
0.66 |
0.68 |
0.72 |
Note:
LMX-Leader Member Exchange, POS- Perceived Organizational Support, OCB-
Organizational Citizenship Behavior, SP- service Performance.
*All
Significant from < .01 to < .05.Source: Data collected by Scholars for the
study.
Table
6: Regression Coefficients from Multiple Regressions between LMX and POS.
|
S. No. |
Independent
Variable. |
Dependent
Variable. |
|
LMX
(Subordinate Version Items). |
POS. |
|
|
1. |
Do
you know where you stand with your supervisor…do you usually know how
satisfied your leader is with what you do? |
0.27*. |
|
2. |
How
well does your supervisor understand your job problems and needs? |
0.29*. |
|
3. |
How
well does your supervisor recognize your potential? |
0.28*. |
|
4. |
Regardless
of how much formal authority he/she has built into his/her position, what are
the chances that your supervisor would use his/her power to help you solve
problems at work. |
0.31*. |
|
5. |
Again,
regardless of the amount of formal authority your supervisor has, what are
the chances that he/she would “bail you out,” at his/her expense? |
0.35*. |
|
6. |
I
have enough confidence in my supervisor that I would defend and justify
his/her decision if he/she were not present to do so? |
0.33*. |
|
7. |
How
would you characterize your working relationship with your supervisor? |
0.29*. |
|
|
R2 |
0.33 |
Note:
LMX-Leader Member Exchange, POS- Perceived Organizational Support.
*All
Significant from < .01 to < .05; Source: Data collected by Scholars for
the study.
Table
6: Regression Coefficients from Multiple Regressions between LMX and POS.
|
S. No. |
Independent
Variable. |
Dependent
Variable. |
|
LMX
(Subordinate Version Items). |
POS. |
|
|
1. |
Do
you know where you stand with your supervisor…do you usually know how
satisfied your leader is with what you do? |
0.27*. |
|
2. |
How
well does your supervisor understand your job problems and needs? |
0.29*. |
|
3. |
How
well does your supervisor recognize your potential? |
0.28*. |
|
4. |
Regardless
of how much formal authority he/she has built into his/her position, what are
the chances that your supervisor would use his/her power to help you solve
problems at work. |
0.31*. |
|
5. |
Again,
regardless of the amount of formal authority your supervisor has, what are
the chances that he/she would “bail you out,” at his/her expense? |
0.35*. |
|
6. |
I
have enough confidence in my supervisor that I would defend and justify
his/her decision if he/she were not present to do so? |
0.33*. |
|
7. |
How
would you characterize your working relationship with your supervisor? |
0.29*. |
|
|
R2 |
0.33 |
Note:
LMX-Leader Member Exchange, POS- Perceived Organizational Support.
*All
Significant from < .01 to < .05; Source: Data collected by Scholars for
the study.
Impact of LMX on Organizational
Citizenship Behavior:
Pearson’s
coefficient of correlation (r = 0.31) between LMX and OCB revealed positive and
significant (p < 0.01 to 0.05) correlation between the two variables.
Multiple regression analysis also, revealed significant impact of LMX on OCB
and is presented as: Y2= bx1 + bx2+ + bx7. Where
‘Y2’ represents dependent variable i.e. OCB and x1 to x7
represent 7 items or statements of independent variable i.e. LMX.OCB data were
entered as dependent variable ‘Y2’ and data pertaining to ‘x1 to x7’
i.e. LMX were entered as independent variable. The results obtained are
presented in Table 7. All items of LMX are positively influencing on OCB with
item no 7, being the most influential with (b=0.34, p <0.05). Item numbers
6, 1, 5 and 3 represents the decreasing order of influence on OCB with
regression coefficients (b=0.33, 0.32, 0.31 and 0.31 respectively) with significance
level of (p < 0.05). Item no 2 and 4, representing the least influence among
all items of LMX on OCB with regression coefficient i.e. (b=0.29, 0.28 and p
< 0.05). The overall influence of LMX on OCB i.e. (R2 =0.32), reflecting a 32% of variation in the
dependent variable, evidences that there exists a positive relationship between
LMX and OCB, thus proving our second
hypothesis i.e. LMX have a positive impact on job attitude like OCB.
Table
7: Regression Coefficients from
Multiple Regressions between LMX and OCB.
|
S. NO. |
Independent
Variable. |
Dependent
Variable. |
|
LMX. |
OCB. |
|
|
1. |
Do
you know where you stand with your supervisor…do you usually know how
satisfied your leader is with what you do? |
0.32*. |
|
2. |
How
well does your supervisor understand your job problems and needs? |
0.29*. |
|
3. |
How
well does your supervisor recognize your potential? |
0.31*. |
|
4. |
Regardless
of how much formal authority he/she has built into his/her position, what are
the chances that your supervisor would use his/her power to help you solve
problems at work |
0.28*. |
|
5. |
Again,
regardless of the amount of formal authority your supervisor has, what are
the chances that he/she would “bail you out,” at his/her expense? |
0.31*. |
|
6. |
I
have enough confidence in my supervisor that I would defend and justify
his/her decision if he/she were not present to do so? |
0.33*. |
|
7. |
How
would you characterize your working relationship with your supervisor? |
0.34*. |
|
|
R2 |
0.32 |
Note:
LMX-Leader Member Exchange, OCB- Organizational Citizenship Behavior.
*All Significant
from < .01 to < .05; Source: Data collected by Scholars for the study.
Impact of LMX on Service
Performance:
Pearson’s
coefficient of correlation (r = 0.34) between LMX and Service Performance
revealed positive and significant (p < 0.01 to 0.05) correlation between the
two variables. Multiple regression analysis also revealed significant
relationship between LMX and Service Performance and is presented as: Y3=
bx1 + bx2+ .+ bx7. Where ‘Y3’ represents dependent
variable i.e. Service Performance and x1 to x7 represent
7 items or statements of independent variable i.e. LMX. Service Performance
data were entered as dependent variable ‘Y3’ and data pertaining to ‘x1 to
x7’ i.e. LMX were entered as independent variable. The results
obtained are presented in Table 8. All items of LMX are positively influencing
on Service Performance with item no 6, being the most influential with (b=0.36,
p <0.05). Item numbers 4, 3, 5, and 7 represents the decreasing order of
influence on Service Performance with regression coefficients (b=0.35, 0.33, 0.33
and 0.32 respectively) with significance level of (p < 0.05). Item no 1 and
2, representing the least influence among all items of LMX on Service
Performance with regression coefficient i.e. (b=0.30, 0.28 and p < 0.05).
The overall influence of LMX on Service Performance i.e. (R2 =0.35),
reflecting a 35% of variation in the dependent variable, evidences that there
exists a positive relationship between LMX and Service Performance, thus
proving our third hypothesis i.e. LMX have a positive impact on service
performance of employees.
Table
8: Regression Coefficients from Multiple Regressions between LMX and Service
Performance.
|
S.
NO. |
Independent
Variable. LMX. |
Dependent
Variable. SP. |
|
1. |
Do
you know where you stand with your supervisor…do you usually know how
satisfied your leader is with what you do? |
0.30*. |
|
2. |
How
well does your supervisor understand your job problems and needs? |
0.28*. |
|
3. |
How
well does your supervisor recognize your potential? |
0.33*. |
|
4. |
Regardless
of how much formal authority he/she has built into his/her position, what are
the chances that your supervisor would use his/her power to help you solve
problems at work |
0.35*. |
|
5. |
Again,
regardless of the amount of formal authority your supervisor has, what are
the chances that he/she would “bail you out,” at his/her expense? |
0.33*. |
|
6. |
I
have enough confidence in my supervisor that I would defend and justify
his/her decision if he/she were not present to do so? |
0.36*. |
|
7. |
How
would you characterize your working relationship with your supervisor? |
0.32*. |
|
|
R2 |
0.35 |
Note:
LMX-Leader Member Exchange, SP- service Performance.
*All
Significant from < .01 to < .05; Source: Data collected by Scholars for
the study.
Impact of POS on Service
Performance:
Pearson’s
coefficient of correlation (r = 0.32) between POS and Service Performance
revealed positive and significant (p < 0.01 to 0.05) correlation between the
two variables. Also, multiple regression analysis revealed significant impact
of POS on service performance of employees and is presented as: Y4= bx1 + bx2+
+ bx9, Where ‘Y4’ represents dependent variable i.e. Service
Performance and x1 to x9 represent 9 items or statements
of independent variable i.e. POS. Service Performance data were entered as
dependent variable ‘Y4’ and data pertaining to ‘x1 to x9’
i.e. POS were entered as independent variable. The results obtained are
presented in Table 9. All items of POS are positively influencing on Service
Performance with item no 5, being the most influential with (b=0.35, p
<.05). Item numbers 6, 4, 2, and 7 represents the decreasing order of
influence of POS on service performance having regression coefficients of (b=0.33,
.31, .29 and .29 respectively) with significance level of (p < 0.05). Item
no 1 and 3, representing the least influence among all items of POS with
regression coefficient i.e. (b=0.28, .27, p < 0.05). The overall influence
of POS on service performance i.e. (R2
=0.33), reflecting a 33% of variation in the dependent variable,
evidences that there exists a positive relationship between POS and service
performance, thus proving our fourth hypothesis i.e. POS have a positive impact
service performance of employees.
Table
9: Regression Coefficients from
Multiple Regressions between POS and Service Performance.
|
S. No. |
Independent
Variable. |
Dependent
Variable. |
|
POS. |
SP. |
|
|
1. |
My
organization is supportive of my goals and values. |
0.29*. |
|
2. |
Help
is available from my organization when I have a problem. |
0.31*. |
|
3. |
My
organization really cares about my wellbeing. |
0.33*. |
|
4. |
My
organization is willing to offer assistance to help me perform my job to the
best of my ability. |
0.31*. |
|
5. |
Even
if I did the best job possible, my organization would fail to notice. |
0.36*. |
|
6. |
My
organization cares about my general satisfaction at work. |
0.31*. |
|
7. |
My
organization shows very little concern for me. |
0.34*. |
|
8. |
My
organization cares about my opinions. |
0.30*. |
|
9. |
My
organization is complimentary of my accomplishments at work... |
0.35* |
|
|
R2 |
0.33 |
Note: POS-
Perceived Organizational Support, SP- Service Performance.
*All
Significant from < .01 to < .05; Source: Data collected by Scholars for
the study.
Impact of OCB on Service
Performance:
Pearson’s
coefficient of correlation (r = 0.32) between OCB and Service Performance revealed
positive and significant (p < 0.01 to 0.05) correlation between the two
variables. Multiple regression analysis revealed significant impact of OCB on Service
Performance and is presented as: Y5= bx1 + bx2+ .+ bx10, Where
‘Y5’ represents dependent variable i.e. Service Performance and x1
to x10 represent 10 items or statements of independent variable i.e.
OCB. Service Performance data were entered as dependent variable ‘Y5’ and data
pertaining to ‘x1 to x10’ i.e. OCB were entered as
independent variable. The results obtained are presented in Table 10. All items
of OCB are positively influencing on Service Performance with item no 10, being
the most influential with (b=0.34, p <0.05). Item numbers 5, 6, 4, 8, 9, 1
and 7 represents the decreasing order of influence of OCB on Service
Performance having regression coefficients (b=0.33, 0.33, 0.32, 0.32, 0.31, 0.31
and 0.31 respectively) with significance level of (p <0.01 to 0.05). Item no
2 and 3, representing the least influence among all items of OCB on Service
Performance with regression coefficients of (b=0.29, 0.28) and significance of
(p< 0.01 to 0.05). The overall influence of OCB on Service Performance i.e. (R2 =0.33), reflecting a 33%
of variation in the dependent variable, evidences that there exists a positive
relationship between OCB and Service Performance, thus proving our last
hypothesis i.e. OCB have a positive impact on Service Performance.
Table 10: Regression Coefficients from Multiple Regressions
between OCB and Service Performance.
|
S. No. |
Independent Variable. |
Dependent Variable. |
|
OCB. |
SP. |
|
|
1. |
I help others who have been absent. |
0.31*. |
|
2. |
I am always ready to lend a helping hand
to those around me. |
0.29
*. |
|
3. |
I try to avoid creating problems for
co-workers. |
0.28*. |
|
4. |
I consume a lot of time complaining about
trivial matters. |
0.32*. |
|
5. |
I obey company rules and regulations even
when no one is watching. |
0.33*. |
|
6. |
I do not take extra breaks. |
0.33*. |
|
7. |
I keep abreast of changes in the
organization or institution. |
0.31*. |
|
8. |
I read and keep up with organization or
institution announcements, memos, etc. |
0.32*. |
|
9. |
I help others who have heavy workloads. |
0.31*. |
|
10. |
I help orient new people even though it is
not required. |
0.34*. |
|
|
R2 |
0.32 |
Note: OCB-
Organizational Citizenship Behavior, SP- service Performance.
*All
Significant from < .01 to < .05; Source: Data collected by Scholars for
the study.
FINDINGS
AND IMPLICATIONS:
LMX has been found having high
correlation with job attitudes like perceived organizational support with
correlation coefficients of (r=0.32) and significance of (p <0.01 to 0.05);
organizational citizenship behavior with (r=0.31) and significance of (p<0.01
to 0.05). Regression coefficients also represents a positive (R2=0.33 and 0.32), and
significant (p < 0.01 to 0.05)impact of LMX on perceived organizational
support and organizational citizenship behavior, respectively. Therefore, signifying
that LMX can act as an antecedent for job attitudes of employees in the service
industry. LMX also, represent positive (r = 0.34) and significant (p< 0.01
to 0.05) correlation with employee service performance. Regression coefficient
of (R2 = 0.35), reveal
positive and significant (p < 0.01 to .05) impact of LMX on employee service
performance.
Job attitudes like perceived organizational
support and organizational citizenship behavior represent a positive (r=0.32, 0.31) and significant (P < 0.01
to 0.05) correlation with employee service performance, respectively. Further,
Regression coefficients of (R2=0.33
and 0.32), reveal a positive and significant (P < 0.01 to 0.05)impact of
perceived organizational support and organizational citizenship behavior on
service performance, respectively. Therefore, we conclude that job related
attitudes help in achieving excellent employee service performance.
Leaders should increase communication frequency with their
subordinates to identify problematic areas, concern, progress, achievement etc
and lend necessary support to overcome challenges, threats etc. Employee
friendly policies need to be formulated as well as communicated by having
visibility in communication, promotion. So, that the target audience like
employees could be reached and benefitted. Extra-ordinary performances or
effort need to be recognized as well as encouraged to reinforce such behavior. Practices
that ensure openness, fairness, trust must be followed to create and sustain
favorable perception among employees.LMX has shown significant relationship
with job attitudes like employee engagement, involvement etc as well as with
work outcomes like employee, performance, productivity etc. LMX not only
influence individual employee work behavior but help in meeting organizational
objectives, goals. LMX creates favorable perception among employees regarding
organizational support, image, and policies. Employees having high quality LMX
relationships with their supervisors perform beyond their formalized tasks and
enhance organizational effectiveness, productivity and profitability.
Organizations should encourage practices that strengthen the bonds of
interpersonal as well as organizational trust. Leadership behaviors like
infusing enthusiasm, excitement, among subordinates enhances their self-esteem,
confidence that results in more accomplishment of challenging tasks, goal achievement,
higher confidence level. Organizations should ensure development of their
leaders through development programmers. Also, practices like recognition and
rewarding of employees for their achievements in front of their co-workers,
management, top leadership would enhance POS and in turn performance.
LIMITATIONS
AND FUTURE RESEARCH:
The present study incorporated
sample size of 150 respondents from banking, insurance and postal service
sectors of Kashmir region only. Also, data analysis techniques were restricted
to descriptive statistics and multiple regression analysis. The future
researchers could explore LMX across other vital sectors like health,
hospitality, etc with more sophisticated techniques of data analysis like
factor analysis, path analysis etc. Exploration of LMX relationship with other
job attitudes like organizational commitment, satisfaction etc would be an add
on to the LMX study. Also, qualitative techniques of data collection like
observations, focus groups etc in combination with quantitative techniques like
structured questionnaires, interviews etc could bring in new insights to LMX
literature. Also, large sample size, more geographic reach, ethnicity etc would
of interest for future researchers to explore.
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Received on 31.12.2015 Modified on 10.01.2016
Accepted on 25.01.2016 © A&V Publications all right reserved
Asian J. Management; 7(1): Jan. –March, 2016
page 27-35
DOI: 10.5958/2321-5763.2016.00005.6