organizational politics vs psychological health of employees an empirical study
DESCRIPTION
This research is conducted in pursuit of whether organizational politics have and impact on the mental health of employees or not in the geographical demarcation.research paperTRANSCRIPT
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 1
The Relation Ship of Organizational Politics with Psychological Health of employee an Empirical Study.
16. Feb.2013. Dr. Jahanvash Kareem
Lecturer, Institute of Management Sciences University of Baluchistan Quetta
Pakistan.
Mohammad Abdullah
Institute of Management Sciences University of Baluchistan Quetta Pakistan
(MBA Finance) session 2010-12
Correspondence author: Mohammad Abdullah
Cell: 00923458167252
Class Enrollment: E-37
Abstracts
This study was conducted to describe the relation ship concerning organizational politics which is
also termed as office politics and psychological health of employees. After reviewing literatures it
is concluded that the office politics have an adverse bearing on the psychological well-being of
employees more over same is the universal perception. We decided to collect data using
questionnaire. “7 & 5 scale Likert style rating questionnaire”. Different variables were used
Emotional intelligence; negative effects, positive affect, satisfaction with life; happiness and life
orientation were the dependent variables of the study. Study (n= 150) employees of Quetta city
who were from sundry public and private sectors, response rate was 71 %. SPSS version 16 was
used for data analysis. And our findings were totally adverse of all prior theories in this regard.
And we are going to unfold new knowledge on this topic. After doing a comprehensive data
analysis using “Simple Linear Regression and Correlation” it is concluded that office politics
have a positive bearing on psychological health of employees. If we want productivity from our
employees we should reduce restriction as much as possible. Unleashed employees are more
likely to be motivated as compare to their counterparts’ restricted ones.
Key words: Organizational Politics, Flourishing, Employee Psychological Health, Office Politics
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 2
ntroduction Firs of all understand
what politics is? Basically politics is the
use of power or put the power into
action can be formally defined as
“Intentional behaviors that are aimed at
enhancing the influence in order to protect
vested interests”. Organizational politics
referred to those activities that are not
required as a formal role in the organization
setting. All organizations are subject to
conflict and competition between the desires
and interests of different departments, teams
and individuals. Organizational politics
refers to the processes through which these
rival interests are played out and eventually
reconciled. While in an ideal organization it
may be hoped that decisions are made on a
rational basis, politics is inherently non-
rational and subject to power interactions
between miscellaneous interests.
Understanding the political system of an
organization is necessary for a leader to
operate effectively and reach their goals. A
leader, exercising power, is able to have a
strong influence on the political climate of
an organization through their decisions, their
way of handling conflict and providing
recognition, support and inspiration to their
teams.
Negative organizational politics may be very
destructive for an organization. This has
been identified as one of the major sources
of stress within modern businesses. Negative
politics includes the use of subversive
methods to promote a personal agenda
which may undermine organizational
objectives, divert energy away from
organizational goals and compromise the
interests, cooperation and fulfillment of
other employees. Such tactics may include
filtering or distortion of information, non-
cooperation, allocating blame, reprisals,
dishonesty, obstructionism and threats.
Often, political behavior and maneuvering
within an organization is caused by
uncertainty, such as unclear objectives,
poorly defined decisions, competition and
change. A leader's influence may be used to
smother a political climate that promotes
such negative politics.
By promoting a positive culture that values
integrity, respect and fairness within their
team, the leader is able to channel people's
interests and energy away from negative
political interplay and towards an alignment
with organization objectives. Allowing team
members to express their interests and
demonstrating a commitment to support
individual needs integrates their fulfillments
into the work organization and promotes the
positive resolution of political conflicts.
Constructive politics are good in the short
as well as in the long run in contrast of their
counter party distractive politics my rarely
benefit in the short run but not at all in the
long run. Destructive people are myopic and
always found disturbed due to the negative
thinking and jealousy due to which they
cannot see anybody happy there.
The objectives of the study are to scrutinize
the Correlations between Organizational
politics and psychological health.
Identification of pertinent negative features
from the organizational perspective. The
present research was developed to
reexamine the factors organizational
politics’ impacts to psychological health of
employees, and provide valid evidence for
both the psychological health and new
measure of Organizational politics.
2. Literature Review
Skillful and appropriate use of organizational politics is necessary for a leader to acquire and
retain power and to accomplish major goals. Although political behavior can be unethical and
destructive, it also can and should be ethical and contribute to a balanced set of interests. Perhaps
we can join Aristotle in viewing organizational politics as a means of reconciling differences
I
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 3
through consultation and negotiation, and as a means of creating order out of diversity while
avoiding abuses. As Adolf Berle wrote in 1969 (p.562-3):
Potentially Unethical Political Strategies and Tactics (Adapted from Dubrin p.203-4, 227-8) any
technique of gaining power can be unethical if practiced in the extreme and with negative
intentions. For example, a person who supports a boss by feeding him or her insider information
that could affect the price of company stock is being unethical.
Pfeffer (1992, p.30) defined politics as the processes, the actions, the behaviors through which
potential power is utilized and realized.
Another author (Dubrin, 2001, p.192) defined organizational politics as informal approaches to
gaining power through means other than merit or luck. It could be argued that politics are used
primarily to achieve power, either directly or indirectly, e.g., by being promoted, receiving a larger
budget or other resources, or gaining desirable assignments.
Factor Contributing to Political Behavior in Organizations (Morgan, 1986, p.142) it is useful to
remember that in its original meaning, the idea of politics stems from the view that, where
interests are divergent, society should provide a means of allowing individuals to reconcile their
differences through consultation and negotiation.
(Morgan, p.148) An organization's politics is most clearly manifested in the conflicts and power
plays that sometimes occupy center stage, and in the countless interpersonal intrigues that provide
diversions in the flow of organizational activity. Politics occurs on an ongoing basis, often in a
way that is invisible to all but those directly involved.
(Morgan, p.155) As Scottish sociologist Tom Burns has pointed out, most modern organizations
promote various kinds of political behavior because they are designed as systems of simultaneous
competition and collaboration. People must collaborate in pursuit of a common task, yet are often
pitted against each other in competition for limited resources, status, and career advancement..
(Adapted from Morgan, p.195-8) There is a danger when becoming sensitized to political
behavior that one begins to see everything as political, to develop a Machiavellian interpretation
that suggests that everyone is trying to outwit and outmaneuver everyone else. Rather than use
politics to generate new insights and understandings that can help deal with divergent interests.
Exercising Control over Dysfunctional Politics (Loosely based on Culbert & McDonough, 1985;
Dubrin, 2001, and Pettigrew, 2003) although necessary, organizational politics can hurt an
organization and its members when carried to excess. Too much politicking can result in lower
morale, higher turnover, and wasted time and effort, thereby lowering performance. To avoid
these negative consequences, leaders should combat political behavior when it is excessive and
dysfunctional.
(Adapted from Morgan, p.194-5) After reflecting on the realities of political dynamics and
behaviors in organizations, it seems appropriate to reevaluate the myth of a highly rational,
objective, non-political organization. The idea of rationality seems to be invoked to overcome the
contradictions inherent in the fact that an organization is simultaneously a system of competition
and a system of cooperation. An emphasis on rationality could lead us to construct an organization
that does not manage the diversity of interests present and, therefore, is ineffective and unstable.
3. Research Variables
Research conducted on the basis of organizational politics and psychological health relation.
Research determined the impact of organizational politics on employee’s’ psychological health.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 4
Research also examined the relationship between the organization politics and the 6 variables
measuring the different dimensions of psychological health. Following are the variables:
3.1 Negative effect
Watson and Clark (1984) defined negative affectivity as a mood-dispositional dimension that
reflects pervasive individual differences in negative emotionality and self-concept Negative
affectivity represents an affective state dimension. Tellegen (1985) has demonstrated that
individuals differ in negative emotional reactivity. Trait negative affectivity roughly corresponds
to the dominant personality factor of anxiety/neuroticism within the Big Five personality traits.
3.2 Positive affect
In recent research, two broad, general factors—typically labeled Positive Affect (PA) and
Negative Affect (NA)—have emerged reliably as the dominant dimensions of emotional
experience. These factors have been identified in both intra and inter individual analyses, and they
emerge consistently across diverse descriptor sets, time frames, response formats, languages, and
cultures (Almagor & Ben-Porath, 1989; Mayer & Gaschke, 1988; Meyer & Shack, 1989;
Tellegen, 1985; Watson, 1988b; Watson, Clark, & Tellegen, 1984; Watson & Tellegen, 1985;
Zevon & Tellegen, 1982). To measure these factors, Watson, Clark, and Tellegen (1988)
developed the Positive and Negative Affect Schedule (PANAS), which consists of two 10-item
scales for PA and NA, respectively. (1994, Watson and Clark the PANAS-X: Manual)
3.3 Life orientation
The bipolar dimensional view has two measures: the Scheier and Carver (1985) life orientation
test (LOT) and Seligman et al (1975). Attribution style questionnaire the (LOT-R) questionnaire is
the most commonly used questionnaire to measure dispositional optimism. Dispositional optimism
is a generalized belief that the good things will happen Kavussanu and McAuley (1995).
Questions are answered using five point scales. A coping item for the original (LOT). This test
focuses more on expectation of good verses bad outcomes. Internal consistency and test re test
reliability remained high.
3.4 Satisfaction with life
The Satisfaction with Life Scale is a short and reliable measure of life-satisfaction. Life-
satisfaction is the cognitive component of subjective well-being (happiness). It allows people to
consider the aspects that are most important to them and to evaluate how satisfied they are with
them. Well, the “Satisfaction with Life Scale” was developed by the man some call “Dr.
Happiness,” who has studied this subject more than 25 years, who featured first among researchers
in its January 17, 2005 special issue on happiness research. Dr. Ed Diener from the University of
Illinois didn’t just make up five questions off the top of his head and call it a scientific instrument.
There are a variety of ways to test such scales, and this one has been found to be valid (internally
consistent, distinct) and reliable (stable) for both young and old.
3.5 Happiness
Happiness constructs and measures vary as to whether they focus mainly on “cold cognitions”
such as beliefs and evaluative judgments or on “hot” affective phenomena such as moods and
emotions. Constructs also vary as to their target. Moods are relatively free floating affective states
that may not have a known cause or target, emotions have specific targets, and attitudes by
definition are judgments about attitude objects. (Cynthia D. Fisher. 2010)
3.6 Emotional intelligence
Emotional intelligence (EI) is the ability to identify, assess, and control the emotions of oneself, of
others, and of groups. It can be divided into ability EI and trait EI. Ability EI is usually measured
using maximum performance tests and has stronger relationships with traditional intelligence,
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 5
whereas trait EI is usually measured using self-report questionnaires and has stronger relationships
with personality.
3.7 Organizational Politics
Organizational politics explains self serving, devious and manipulative behavior of employees
towards their work environment only for their self interests. These self interests might be at the
cost of other employees or may be organizational goals as well. Ferris and Kacmar (1992)
described that perception of politics is an employees’ observation about others self interested
activities. Self interested activities may be included the selective manipulation and management of
organizational policies. Kacmar and Carlson (1997) explained that 15 items scale based upon the
three dimensions.
3.8 Structural Model:
In this model organizational politics is independent construct and the other 6 variables are the
dependent variables, Correlation and regression analysis are used to find the relationship by
manipulation of dependent variable. I am here examining the prospective relationship between
these variables. “For instance increase in organizational politics is producing concomitant increase
in Negative effect variable. We are delving in pursuits of the relationship of psychological health
& organizational politics.
0.369**
(P=0.000)
0.660**
(P=0.000)
0.461**
(P=0.000)
0.473**
(P=0.000)
0. .307* (P=0.010)
0.137 (P=0.189)
(H 1)
(H 2)
(H 3)
(H 4)
(H 5)
(H6)
PA
EI
SWL NE
LO
H
OP
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 6
3.9 Hypotheses:
Hypotheses 1:
H0: Organizational politics have no relationship with positive affect.
H1: organizational politics have a relationship with positive affect.
Hypotheses 2:
H0: Organizational politics have no relationship with Negative effect.
H1: organizational politics have a relationship with Negative effect.
Hypotheses 3:
H0: Organizational politics have no relationship with Life orientation.
H1: organizational politics have a relationship with life orientation.
Hypotheses 4:
H0: Organizational politics have no relationship with Satisfaction with life.
H1: organizational politics have a relationship with Satisfaction with life.
Hypotheses 5:
H0: Organizational politics have no relationship with happiness.
H1: organizational politics have a relationship with happiness.
Hypotheses 6:
H0: Organizational politics have no relationship with Emotional intelligence.
H1: organizational politics have a relationship with Emotional intelligence.
These are some logical notions about the main hypothesis relationship. Our main objective
through this analysis is to delineate the panoramic view of relationship and to quantify the
magnitude of these correlations. Reunion of these variables and hypothesis will result in a
purposeful conclusion and are likely to help in understanding and mainstreaming the
organizational politics efficiently.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 7
4. Research Methodology:
4.1 Research design:
The design a master plan that specifies the methods and procedures for collecting and analyzing
the needed information. A research design provides a framework or plan of action for the research.
Mark Saunders, Philip Lewis, & Adrian Thornhill. (2009)Main purpose of the research was to
describe the relationships between organizational politics and the psychological health variables. It
is basically a descriptive research and explanatory as well descriptive factor is overwhelming.
Examined the bearings of proscribed practices within the organizational setting. Formulation of an
astute conclusion regarding the organizational politics. The focus of study is to find and describe
the relevance of organizational politics and causes and effects of these relationships. My
inclination was also towards the exploratory but I came to know that it is not a new topic lots of
researches have been previously done for the said purpose. The researches were similar but less.
But now I am delving to enlighten more parameters.
4.2 Universe:
The sample frame for the study was all employees whether public or private where the sampling
frame geographic area was Quetta city. The reason for sampling frame were following,
Because they all can give purposeful information
Financial constraints
I saw every second person was a victim of office politics in Quetta
I decided to take initiative from my home town
It was feasible to collect data from this population
4.3 Sampling:
How ever it is decided to collect sample data from 150 employees.
Following are the main drivers of the sampling frame
Because my study was concerned with the organizational psychology
Political behavior which is practiced in the organization
Psychological distress stems from job
Identifying the contribution of organizations to the social psychology
Due to large sample size simple random sampling is chosen because there are small
organizations in Baluchistan and response rate is very low there fore it was not possible
to collect data from only one organization.
To capture variety of views
To delineate actual representation
Sample size was 150 employees
Due to fallacious response rate
4.4 Tools for data collection:
For the data collection closed ended questionnaire is used because it is the best barometer in the
Descriptive researches.
“Fundamentally questionnaire is a set of stimuli in which literate people are exposed in order to
observe their verbal behavior under these stimuli”. (G.A. Lund Burg)
Methods of data collection were mixed i.e. delivery and collection, structured interviews, group
interviews.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 8
4.5 Reasons for selecting questionnaire for data collection
Due to the fact that most of the respondents were literate and if not can consult from an educated
person. And ethical point confidentiality was also there these were some reasons to choose
questionnaire. And because my research is descriptive and qualitative there fore questionnaire is
being selected.
4.6 Formation of questionnaire:
Questionnaire was obtained by latest researches of psychometric; questionnaire was highly
sophisticated and precise. Content validity; construct validity, reliability, consistency etc. all the
dimensions were perfectly well-thought-out in. Every variable is measured by many questions.
Every response was authenticating by the numerous questions they were looking dissimilar but
measuring the same variable with diverse style. Ethical standpoint was well-thought-out in the
questionnaire. That is no one should identify their name their participation is volunteer and every
one was free to answer or escape the question and they were free to retreat at any stage from the
study. Questions were not so personal. Questionnaire was capturing the following attributes of
elements
Age of respondent
Gender of respondent
Positive affect of psychological health of respondent
Negative effect of psychological health of respondent
Life orientation or social perception/relation of respondents
Life satisfaction of respondents
Emotional intelligence of respondents
An attribute of organization i.e. organizational politics
4.7 Test used for data analysis
As variables are qualitative therefore regression analysis was good for the measurement of
variables. Simple linear regression and correlation used due to one fix variable other all random
variable. If I had more than one fix variable than I was able to apply multiple linear regression
model. Data collected for hypotheses was nonparametric and interval ratio that is scale in spss
language. Descriptive statistics for data analysis has also been used here such as mean, standard
deviation.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 9
5. Results
5.1 Hypotheses 1:
H0: Organizational politics have no relationship with positive affect.
H1: organizational politics have a relationship with positive affect.
Correlation matrix specifying that there is positive correlation among organizational politics and
positive affect that is 0.137 but due to type-2-error [p >0.05, β] p= 0.189 which is the sign of
doubt towards the significance of this relationship and revealed that this relation was by chance
and unrealistic.
Synthesis:
Because p = 0.189 so the positive relation that was 0.137 rendered idealistic and by chance. Hence
it is concluded that alternate hypothesis H1 is overruled and null hypothesis H0 is accepted i.e.
there is no relationship among these two variables.
5.2 Hypotheses 2:
H0: Organizational politics have no relationship with Negative effect.
H1: organizational politics have a relationship with Negative effect.
Correlation matrix specifying that there is positive correlation among organizational politics and
negative affect that is 0.369 and due to p = 0.000 is type-1-error i.e. [p <0.05, α] which is the
connotation towards the significance of this relationship and revealed that this relation is
significant and real.
Synthesis:
Because p = 0.000 so positive relation that was 0.369 rendered realistic and significant. Hence it is
concluded that the alternate hypothesis H1 is accepted and null hypothesis H0 is rejected i.e. there
is a positive relation relationship among these two variables. That is one unit increase n
organizational politics will yield up to 0.369 increases in negative effect.
5.3 Hypotheses 3:
H0: Organizational politics have no relationship with Life orientation.
H1: organizational politics have a relationship with life orientation.
Correlation matrix specifying that there is positive correlation among organizational politics and
negative affect that is 0.660 and due to p = 0.000 is type-1-error i.e. [p <0.05, α] which is the
connotation towards the significance of this relationship and revealed that this relation is
significant and real.
Synthesis:
Because p = 0.000 so positive relation that was 0.660 rendered realistic and substantial. Hence it is
concluded that the alternate hypothesis H1 is recognized and null hypothesis H0 is nullified i.e.
there is a positive relationship among these two variables. That is one unit increase in
organizational politics will bring out up to 0.660 set-ups in Life orientation.
5.4 Hypotheses 4:
H0: Organizational politics have no relationship with Satisfaction with life.
H1: organizational politics have a relationship with Satisfaction with life.
Correlation matrix specifying that there is positive correlation among organizational politics and
satisfaction with life that is 0.461 and due to p = 0.000 is type-1-error i.e. [p <0.05, α] which is
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 10
the connotation towards the significance of this relationship and revealed that this relation is
significant and real.
Synthesis:
Because p = 0.000 so positive relation that was 0.461 delivered realistic and significant. Hence it
is concluded that the alternate hypothesis H1 is accepted and null hypothesis H0 is rejected i.e.
there is a positive relation relationship among these two variables. That is one unit increase in
organizational politics will produce up to 0.461 increases in satisfaction with life.
5.5 Hypotheses 5:
H0: Organizational politics have no relationship happiness.
H1: organizational politics have a relationship with happiness.
Correlation matrix specifying that there is positive correlation among organizational politics and
satisfaction with life that is 0.473 and due to p = 0.000 is type-1-error i.e. [p <0.05, α] which is
the connotation towards the significance of this relationship and brought out that this relation is
significant and real.
Synthesis:
Because p = 0.000 so positive relation that was 0.473 rendered realistic and significant. Hence it is
concluded that the alternate hypothesis H1 is accepted and null hypothesis H0 is rejected i.e. there
is a positive relation relationship among these two variables. That is one unit increase in
organizational politics will produce up to 0.473 increases in happiness.
5.6 Hypotheses 6:
H0: Organizational politics have no relationship with Emotional intelligence.
H1: organizational politics have a relationship with Emotional intelligence.
Correlation matrix specifying that there is positive correlation among organizational politics and
emotional intelligence that is 0.307 but due to type-2-error [p >0.05, β] i.e. p=0.010 which is the
subtext towards the insignificance of this relationship and revealed that this relation was by
chance.
Synthesis:
Because p = 0.010 so the positive relation that was 0.307 rendered unrealistic and by chance.
Hence it is concluded that the alternate hypothesis H1 is rejected and null hypothesis H0 is
accepted i.e. there is no relationship among organizational politics and emotional intelligence.
6. Discussion and Conclusion
6.1 Conclusion/ Synthesis:
This study is describing the relation ship between organizational politics that is also termed as
office politics and psychological health of employee. After doing a lot of literature review i came
to know that the office politics have an adverse effect on the psychological health of employee
more over same is the universal perception. We decided to collect data using questionnaire.
Questionnaire is developed to measure the different dimensions of psychological health and
organizational politics emotional intelligence, negative effects, positive affect, satisfaction with
life, happiness and life orientation were the dependent variables of the study and organizational
politics was the only independent variable of the study.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 11
Data collected form the 106 employees sample size was 150 employees of Quetta city who were
public and private as well. Major data collected from university of Baluchistan, PTV Quetta
Centre, Secretariat and from my acquaintances. Findings of my results were unpredictable and
were totally adverse of my expectation and prior theories it may be due to unpredictability of the
inhabitant of this geographic area. Even though I am prospered in my aims because I have
developed new theory which I believe will be tested in future researches and will contribute
towards organizational success.
After doing a comprehensive data analysis/systematic empiricism using “simple linear regression”
i came to know that office politics increasing psychological health. Actually organizational
politics should reduce the positive effect but here in my result organizational politics have no
effects on the positive affect means the optimism is not affected by the organizational politics.
And in the 2nd hypothesis my results are illuminating a positive correlation among organizational
politics and negative effect which is good sign that there is relationship. As the organizational
politics will increase it will adversely affect psychological health and this is logical as well. 3rd
hypothesis revealed the results that increase in organizational politics will yield an increase in life
orientation. Which is illogical but it is the finding of my research. That means people will start
taking care of each others when there will be organizational politics.
4th hypothesis results that increase in organizational politics is likely to reveal corresponding
positive change in the satisfaction with life and increase it. It means office politics increasing
satisfaction with life people feel contended after doing it. 5th hypothesis also like 4th hypothesis
suggesting that increase in organizational politics fetching cheerfulness in the life. Positive
correlation has been found in the data analysis. It means people will be better-off if they will be
allowed to practice office politics. And the last hypothesis telltale that if organizational politics is
more at somewhere than emotional intelligence would build up but it is not necessary it was by
chance and unrealistic. It is suggesting that office politics does not increasing emotional
intelligence. Sensitivity to the emotions of others and an illusive control on your own emotions.
After undertaking a systematic empiricism using “simple linear regression” and Pearson
correlation concluded that office politics increasing psychological health. Overall conclusion is
that organizational politics have a positive bearing on psychological well-being and good for
psychological health of employees. Employees should be allowed to practice politics but in the
favor of organization. Management should keep an eye to the employee’s activities and stay
abreast of internal affairs. Political employees may be the better than non political ones effective
utilization of their capabilities may lead to organizational drift and can be emerged as distinctive
competence of the organization.
6.2 Importance of findings:
Our findings are more valuable because they are exploring glistening avenues. It suggesting that
employee’s should countenance playing politics freely. Ours findings proposing that employees
should be allowed to practice office politics because they will feel contended and will work
happily. They are more likely to be motivated after achieving career goal in consequence of their
own effort rather just working as machine with bounded rationality. It should be accepted that
political employees are more fruitful for an organization than non political employees. As all the
previous researches done in this topic are suggesting that employees should not allow to play
politics within the office premises but we believe if employees are allowed to play politics they
will be more productive for the organization and society. This would be their competency and we
should take example of Prime Minister or the head of state all are politician how effectively they
are serving their country and their vision drift country to the success. Our verdicts are of well
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 12
prominence for the critical thinkers they can find new avenues from this study. Actually people
play politics who are optimistic i.e. the believe in positive ramification of their actions.
6.3 Limitations:
Following are some major limitations of my study:
Illiteracy of society
Culture
Financial constraints
Time constraints
Adverse behavior of participants
Resource constraints
Social values
Biased responses
Lake of interest from respondent side
Random tick marking from respondent side
Lake of social support
The results are specific in one geographical area and may or may not be generalizable to
other areas
Biased response of respondents delusions
Disability to compensate respondents that brought lake of interest
6.4 Recommendations
Research recommends that organizations should channelize their human resource towards
ensuring that politics in their organizations should not become destructive. Organizations
experts like organizational psychologists should be involved to recognize and handle the
catastrophes of their organization. By hiring the organization psychologist organizations will
be able to realize the employees’ needs and work for the betterment of the organization
environment. Strategic managers should be highly diplomatic and well versed politicians i.e.
leadership skill as well. Employees should be allowed to practice politics but management
should ensure it functional. It may also propose that the organizations should manage
development curriculum periodically for their supervisors to better understand the political
environment and enable them to take timely corrective actions.
Every member of staff should be the part of decision making i.e. participation and
management should share success with their subordinates as well. It may also endorse that the
organization should be proactive in analyzing political activities from their inception. Leaders
should channelize the political skills of the employees towards the organizational success. In
this way the employees of the organization psychologically and expressively associate with
their institution and coworkers. Organization must arrange orientations for the new
employees, which will be helpful in socializing them to the culture of organization.
Organizations should induct employees after intensive psychological scrutiny. Only induct
them when they found psychologically fit for the prospective position in term of doctrine,
approach, beliefs, background, KSA level, personality etc. Contemporary psychometrics has
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 13
made possible this type of scrutiny using different scale of measurement contagious in the
questionnaires. In future the research could be done in different sectors with others variables.
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 14
Annexure “a” Questionnaire
Dear Respondent,
I am a graduate student currently at the Institute of Management Sciences, University of
Baluchistan and conducting research for the completion of my Masters in Business
Administration. This research is about the impacts of political behaviors within organizational
settings.
Your participation in this study is voluntary and is important for the success of this study. The
questionnaire that follows focuses on a variety of issues relating to organizational politics & its
consequences. Please answer all questions to the best of your ability so this survey can be used for
this research. I will be the only one who will see your responses and your confidentiality is
assured.
You have the right to withdraw from this research at any stage without penalty or loss of benefits.
No individual will be identified in my thesis.
If you would like further information about this study, or have problems in completing this
questionnaire please contact me:
Mohammad Abdullah
Institute of Management Sciences,
University of Baluchistan
Email: [email protected]
1) Indicate your age in years: _____
2) Gender (Circle One): a. Male b. Female
Positive affect Negative affect
(A)
On average I am ---
--
Ver
y S
lig
htl
y O
r N
ot
At
All
A
Lit
tle
Mo
der
atel
y
Qu
ite
A B
it
Ex
trem
ely
(B)
On average I
am -----
Ver
y S
lig
htl
y O
r N
ot
At
All
A
Lit
tle
Mo
der
atel
y
Qu
ite
A B
it
Ex
trem
ely
1. Active 1 2 3 4 5 1. Afraid 1 2 3 4 5
2. Determined 1 2 3 4 5 2. Nervous 1 2 3 4 5
3. Attentive 1 2 3 4 5 3. Upset 1 2 3 4 5
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 15
Organizational politics
Str
on
gly
Dis
agre
e
Mo
der
atel
y D
isag
ree
Sli
gh
tly
Dis
agre
e
Nei
ther
Dis
agre
e N
or
Ag
ree
Sli
gh
tly
Ag
ree
Mo
der
atel
y A
gre
e
Str
on
gly
Ag
ree
Please take a short look on the description and then circle the level
of agreement on each of the times below based on your opinion
1. It is best not to rock the boat (not make disturbances) in this
organization
1 2 3 4 5 6 7
2. Sometimes it is easier to remain quiet than to fight the system 1 2 3 4 5 6 7
3. it is safer to think what you are told than to make up your own
mind
1 2 3 4 5 6 7
4. Agreeing with powerful others is the best alternative in this
organization
1 2 3 4 5 6 7
5. When it comes to pay raise and promotion decisions, policies are
irrelevant.
1 2 3 4 5 6 7
6. In this organization, telling others what they want to hear is
sometimes better than
telling the truth
1 2 3 4 5 6 7
7. People in this organization attempt to build themselves up by
tearing others down
1 2 3 4 5 6 7
8. There has always been an influential group in this department that
no one ever crosses
1 2 3 4 5 6 7
9. Promotion around here are not valued much because how they are
determined is so political
1 2 3 4 5 6 7
10. None of the raises I have received are consistent with the policies
on how raises should be determined
1 2 3 4 5 6 7
11. Employees are encouraged to speak out frankly even when they
are critical of well- established ideas
1 2 3 4 5 6 7
12. The stated pay and promotion policies have nothing to do with
how pay raises and promotions are determined
1 2 3 4 5 6 7
13. There is no place for yes-men around here; good ideas are
desired even if it means Disagreeing with superiors.
1 2 3 4 5 6 7
14. Since I have worked in this department/organization, I have
never seen the pay and promotion policies applied politically
1 2 3 4 5 6 7
15. I can’t remember when a person received a pay increase or
promotion that was inconsistent with the published policies.
1 2 3 4 5 6 7
4. Inspired 1 2 3 4 5 4. Hostile 1 2 3 4 5
5. Alert 1 2 3 4 5 5. Ashamed 1 2 3 4 5
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 16
Life orientation
Str
on
gly
Dis
agre
e
Mo
der
atel
y D
isag
ree
Sli
gh
tly
Dis
agre
e
Nei
ther
Dis
agre
e N
or
Ag
ree
Sli
gh
tly
Ag
ree
Mo
der
atel
y A
gre
e
Str
on
gly
Ag
ree
Instructions
Using the scale below as a guide, Tick a number on the line
preceding each statement to indicate how much you agree with it.
1. I have so much in life to be thankful for. 1 2 3 4 5 6 7
2. If I had to list everything that I felt grateful for, it would be a
very long list.
1 2 3 4 5 6 7
3. When I look at the world, I don’t see much to be grateful for. 1 2 3 4 5 6 7
4. I am grateful to a wide variety of people. 1 2 3 4 5 6 7
5. As I get older I find my self .more able to appreciate the people,
events, and situations that have been part of my life history.
1 2 3 4 5 6 7
6. Long periods of time can go by before I feel grateful to
something or someone.
1 2 3 4 5 6 7
Life satisfaction
Str
on
gly
Dis
agre
e
Mo
der
atel
y D
isag
ree
Sli
gh
tly
Dis
agre
e
Nei
ther
Dis
agre
e N
or
Ag
ree
Sli
gh
tly
Ag
ree
Mo
der
atel
y A
gre
e
Str
on
gly
Ag
ree
How much satisfied you are with Life?
1. In most ways my life is close to my ideal. ( I am happy with
my life)
1 2 3 4 5 6 7
2. The conditions of my life are excellent. 1 2 3 4 5 6 7
3. I am satisfied with my life. 1 2 3 4 5 6 7
4. So far I have gotten the important things I want in life. 1 2 3 4 5 6 7
5. If I could live my life over, I would change almost nothing. 1 2 3 4 5 6 7
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 17
Happiness
Instructions to participants: For each of the following statements and/or questions, please circle
the point on the scale that you feel is most appropriate in describing you.
1. In general, I consider myself:
Not a very happy person 1 2 3 4 5 6 7 A very happy person
2. Compared to most of my peers, I consider myself:
Less happy 1 2 3 4 5 6 7 More happy
3. Some people are generally very happy. They enjoy life regardless of what is going on, getting
the most out of everything. To what extent does this characterization describe you?
Not at all 1 2 3 4 5 6 7 A great deal
4. Some people are generally not very happy. Although they are not depressed, they never seem as
happy as they might be. To what extend does this characterization describe you?
Not a great deal 1 2 3 4 5 6 7 A great deal
Emotional intelligence
Instructions
Following are phrases describing people's behaviors. Please use the rating scale below to describe
how accurately each statement describes you. Describe yourself as you generally are now, not as
you wish to be in the future. Describe yourself as you honestly see yourself, in relation to other
people you know of the same sex as you are, and roughly your same age. So that you can describe
yourself in an honest manner, your responses will be kept in absolute confidence. Please read
each statement carefully, and then tick in the box that corresponds to the number on the scale.
Str
on
gly
Dis
agre
e
Mo
der
atel
y D
isag
ree
Sli
gh
tly
Dis
agre
e
Nei
ther
Dis
agre
e N
or
Ag
ree
Sli
gh
tly
Ag
ree
1 I have a good sense of why I have certain feelings most of the
time.
1 2 3 4 5
2 I have good understanding of my own emotions (e.g., sadness,
happiness or anger).
1 2 3 4 5
3 I really understand what I feel. 1 2 3 4 5
4 I always know whether or not I am happy. 1 2 3 4 5
5 I always know my friends’ emotions from their behavior. 1 2 3 4 5
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 18
6 I am a good observer of others’ emotions (e.g., sadness,
happiness or anger)
1 2 3 4 5
7 I am sensitive to the feelings and emotions of others. 1 2 3 4 5
8 I have good understanding of the emotions of people around
me.
1 2 3 4 5
9 I always set goals for myself and then try my best to achieve
them.
1 2 3 4 5
10 I always tell myself I am a competent person. 1 2 3 4 5
11 I am a self-motivated person. 1 2 3 4 5
12 I would always encourage myself to try my best. 1 2 3 4 5
13 I am able to control my temper and handle difficulties
rationally.
1 2 3 4 5
14 I am quite capable of controlling my own emotions (e.g.,
sadness, happiness or anger).
1 2 3 4 5
15 I can always calm down quickly when I am very angry. 1 2 3 4 5
16 I have good control of my own emotions. 1 2 3 4 5
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 19
Annexure “b” Refferences bibliographies auxiliaries:
Berle, Adolf A. (1969). Power. New York: Harcort, Brace & World. Culbert, Samuel A. & McDonough, John J. (1985). Radical management:
Power politics and the pursuit of trust. New York: The Free Press.
Jahanvash Karim and Robert Weisz 2010. Cross-Cultural Research on the Reliability andValidity of the Mayer-Salovey-Caruso EmotionalIntelligence Test (MSCEIT) SAGE Publications.
Dubrin, Andrew J. (2001). Leadership. (3rd ed) New York: Houghton Mifflin
Morgan, Gareth (1996). Images of organization (2nd ed).
Newbury Park: Sage Pettigrew, Andrew (2003). "Strategy as process, power and change," in Stephen Cummings & David Wilson (2003), Images of Strategy. Malden, MA: Blackwell.
Pfeffer, Jeffrey (1992). Managing with power: Politics and influence in organizations. Boston: Harvard Business School Press.
Cynthia D. Fisher. (2010) "Happiness at work" International journal of management reviews, 12 (4), 384-412.
G D Batty PhD, J E Ferrie PhD,M Hamer PhD, M Kumari PhD,Prof M G Marmot MD,A Singh-Manoux PhD,Prof A Steptoe DPh); September 14, 2012. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Published online
Gallagher, Vickie Coleman, "Situational and Dispositional Antecedents and Consequences of Impression Management Tactics: The Role of Political Skill" (2007). Electronic Theses, Treatises and Dissertations. Paper 4381. http://diginole.lib.fsu.edu/etd/4381
Raymond masse, carole pouling, clement dassa, jeans lambert, Sylvie belair and alex battaglini (1998). The structure of mentle health: highier order conformatory factor analysis of psychological distress and well beingmeasure social indicator research.
Kabilan , Ahmad, Zainol Abidin (2010). Facebook: An online environment for learning of English in institutions of higher education? School of Educational Studies, Universiti Sains Malaysia, 11800 13 179–187 Penang, Malaysia Internets and Higher Education.
SHARON K. HOWELL B.S.B.A University of Alabama in Huntsville, 1992 INVESTIGATING THE EFFECTS IN THE ACCOUNTING PROFESSION Master
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 20
of Accountancy University of Alabama in Huntsville, 1998.
Student: yu-chia-kuo RA 7921123 Advisor: Dr. Tazai-zang-lee June 2005.An empirical study on the impact of perceived organizational politics on job satisfaction. National cheng Kung university (IMBA) Program master thesis.
Coole, David R., "Expansion and validation of the Political Skill Inventory (PSI ): An examination of the link between charisma, political skill, and performance" (2007). Graduate School Theses and Dissertations. http://scholarcommons.usf.edu/etd/680CHU
Hsiang chang, christopher c. Rosen, paul e. Levy 2009. The relationship between perceptions of organizational politics and employee attitudes, strain, and behavior: a meta-analytic examination. Academy of management journal vol. 52, no. 4, 779–801.
Roblyer, McDaniel, Webb, Herman and Witty 13 (2010). Findings on Facebook in higher education: A comparison of college faculty and student uses and perceptions of social networking sites. Internet and Higher Education
MLA Sample Research Paper MPC English & Study Skills Center, revised 9/09
Ed Diener and the Gallup Organization Ronald Inglehat, Louis Tay Draft Date: April 14, 2012. Theory and Validity of Life Satisfaction Scales Social Indicators Research, in press.
Watson, Clark. The PANAS-X: Manual for the Positive and Negative Affect Schedule - Expanded Form LIFE ORIENTATION TEST –Revised (LOT-R) University of Iowa
Saunders, Lewis, Thornhill 2009. Research methods for business students’ fi fth edition Pearson Education.
Zikmund & Babin 2003,2007. EXPLORING MARKETING RESEARCH NINTH EDITION Thompson Corporation.
Zikmund, Babin, Carr and Griffing Business research methods eighth edition.
Mental disorder - Wikipedia, the free encyclopedia" http://www.changes.org.uk/html/mental_distress.html http://www.erin.utoronto.ca/~w3psyuli/survey/demo.cgi?survey=swls
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 21
Annexure “c” Characteristics of respondents:
Statistics
Gender
N Valid 106
Missing 0
Gender
Frequency Percent Valid Percent Cumulative Percent
Valid Male 92 86.8 86.8 86.8
Female 14 13.2 13.2 100.0
Total 106 100.0 100.0
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 22
Age Stem-and-Leaf Plot
Frequency Stem & Leaf
5.00 2 . 00111
10.00 2 . 2222233333
15.00 2 . 444445555555555
15.00 2 . 666666667777777
5.00 2 . 88899
8.00 3 . 00000111
8.00 3 . 22223333
6.00 3 . 455555
6.00 3 . 666777
2.00 3 . 89
4.00 4 . 0011
3.00 4 . 223
5.00 4 . 44455
3.00 4 . 667
1.00 4 . 9
.00 5 .
1.00 5 . 3
2.00 5 . 55
3.00 5 . 667
3.00 Extremes (>=58)
Stem width: 10
Each leaf: 1 case(s)
Descriptive Statistics
N Range Minimum Maximum Mean Std. Deviation
Age 105 46 20 66 32.95 10.407
Valid N (list wise) 105
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 23
Annexure “d” Data Analyses
Hypotheses 1:
H0: Organizational politics have no relationship with positive affect.
H1: Organizational politics have a relationship with positive affect.
Descriptive Statistics
Mean Std. Deviation N
Positive Affect 3.1903 .88976 103
Organizational Politics 4.1498 .75191 97
Correlation Matrix
Positive Affect Organizational Politics
Positive Affect Pearson Correlation 1 .137
Sig. (2-tailed) .189
N 103 94
Organizational Politics Pearson Correlation .137 1
Sig. (2-tailed) .189
N 94 97
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Positive Affect
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 24
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .137 .019 .008 .90772
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 1.444 1 1.444 1.752 .189
Residual 75.804 92 .824
Total 77.248 93
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Positive Affect
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) 2.481 .530 4.679 .000
Organizational
Politics .166 .126 .137 1.324 .189
a. Dependent Variable: Positive Affect
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 25
Hypotheses 2:
H0: Organizational politics have no relationship with Negative effect.
H1: Organizational politics have a relationship with Negative effect.
Descriptive Statistics
Mean Std. Deviation N
Negative Effect 2.5111 .87235 99
Organizational Politics 4.1498 .75191 97
Correlations
Negative Effect
Organizational
Politics
Negative Effect Pearson Correlation 1 .369
**
Sig. (2-tailed) .000
N 99 92
Organizational Politics Pearson Correlation .369
** 1
Sig. (2-tailed) .000
N 92 97
**. Correlation is significant at the 0.01 level (2-tailed).
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Negative Effect
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 26
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .369 .136 .126 .80073
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 9.089 1 9.089 14.176 .000
Residual 57.705 90 .641
Total 66.794 91
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Negative Effect
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) .707 .474 1.492 .139
Organizational
Politics .421 .112 .369 3.765 .000
a. Dependent Variable: Negative Effect
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 27
Hypotheses 3:
H0: Organizational politics have no relationship with Life orientation.
H1: Organizational politics have a relationship with life orientation.
Descriptive Statistics
Mean Std. Deviation N
Life Orientation 4.6684 1.06542 97
Organizational Politics 4.1498 .75191 97
Correlations
Life Orientation
Organizational
Politics
Life Orientation Pearson Correlation 1 .660**
Sig. (2-tailed) .000
N 97 91
Organizational Politics Pearson Correlation .660**
1
Sig. (2-tailed) .000
N 91 97
**. Correlation is significant at the 0.01 level (2-tailed).
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Life Orientation
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 28
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .660 .435 .429 .78260
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 41.995 1 41.995 68.568 .000
Residual 54.509 89 .612
Total 96.504 90
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Life Orientation
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Beta
1 (Constant) .907 .466 1.946 .055
Organizational
Politics .911 .110 .660 8.281 .000
a. Dependent Variable: Life Orientation
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 29
Hypotheses 4:
H0: Organizational politics have no relationship with Satisfaction with life.
H1: Organizational politics have a relationship with Satisfaction with life.
Descriptive Statistics
Mean Std. Deviation N
Organizational Politics 4.1498 .75191 97
Satisfaction With Life 4.8560 1.40391 100
Correlations
Organizational
Politics
Satisfaction With
Life
Organizational Politics Pearson Correlation 1 .461
**
Sig. (2-tailed) .000
N 97 94
Satisfaction With Life Pearson Correlation .461
** 1
Sig. (2-tailed) .000
N 94 100
**. Correlation is significant at the 0.01 level (2-tailed).
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Satisfaction With Life
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 30
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .461 .213 .204 1.28375
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 40.917 1 40.917 24.828 .000
Residual 151.618 92 1.648
Total 192.535 93
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Satisfaction With Life
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Β
1 (Constant) 1.159 .752 1.541 .127
Organizational
Politics .886 .178 .461 4.983 .000
a. Dependent Variable: Satisfaction With Life
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 31
Hypotheses 5:
H0: Organizational politics have no relationship happiness.
H1: Organizational politics have a relationship with happiness.
Descriptive Statistics
Mean Std. Deviation N
Organizational Politics 4.1498 .75191 97
Happiness 4.5026 .86640 97
Correlations
Organizational
Politics Happiness
Organizational Politics Pearson Correlation 1 .473
**
Sig. (2-tailed) .000
N 97 91
Happiness Pearson Correlation .473
** 1
Sig. (2-tailed) .000
N 91 97
**. Correlation is significant at the 0.01 level (2-tailed).
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Happiness
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 32
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .473 .223 .215 .72983
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 13.627 1 13.627 25.584 .000
Residual 47.406 89 .533
Total 61.033 90
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Happiness
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Β
1 (Constant) 2.301 .449 5.120 .000
Organizational
Politics .536 .106 .473 5.058 .000
a. Dependent Variable: Happiness
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 33
Hypotheses 6:
H0: Organizational politics have no relationship with Emotional intelligence.
H1: Organizational politics have a relationship with Emotional intelligence.
Descriptive Statistics
Mean Std. Deviation N
Organizational Politics 4.1498 .75191 97
Emotional Intelligence 3.8579 .59578 73
Correlations
Organizational
Politics
Emotional
Intelligence
Organizational Politics Pearson Correlation 1 .307
*
Sig. (2-tailed) .010
N 97 69
Emotional Intelligence Pearson Correlation .307
* 1
Sig. (2-tailed) .010
N 69 73
*. Correlation is significant at the 0.05 level (2-tailed).
Regression
Variables Entered/Removed
Model Variables Entered Variables Removed Method
1 Organizational Politics . Enter
a. All requested variables entered.
b. Dependent Variable: Emotional Intelligence
©Prepared By Mohammad Abdullah Shah Bukhari MBA Session 2010-12
Institute Of Management Sciences University Of Baluchistan Quetta Pakistan
pg. 34
Model Summary
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .307 .094 .081 .56381
a. Predictors: (Constant), Organizational Politics
ANOVA
Model Sum of Squares df Mean Square F Sig.
1 Regression 2.219 1 2.219 6.980 .010
Residual 21.298 67 .318
Total 23.516 68
a. Predictors: (Constant), Organizational Politics
b. Dependent Variable: Emotional Intelligence
Coefficients
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig. B Std. Error Β
1 (Constant) 2.755 .421 6.548 .000
Organizational
Politics .270 .102 .307 2.642 .010
a. Dependent Variable: Emotional Intelligence