INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026
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Comparative analysis of Work Culture, Income, Security, and Career
Advancement as determinants of Job Satisfaction in Public and Private
Organizations of Bangalore City
Mohan H C
1
; Dr. Shruti Mathur
2
1
Research Scholar, Dept. of Management, Shyam University, Dausa, Rajasthan.
2
Research Supervisor, Dept. of Management, Shyam University, Dausa, Rajasthan.
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.1501000113
Received: 14 February 2026; Accepted: 17 February 2026; Published: 21 February 2026
ABSTRACT
Employees in Bangalore City's public and private sectors were surveyed to determine their degree of contentment
with their jobs. Culture, pay, job security, and advancement opportunities were the main points. One hundred
employees from public sector agencies and one hundred from private sector organizations made up the 200 total
survey takers. A standardized questionnaire on a 5-point Likert scale was used to collect data. The results were
then interpreted using regression analysis, correlation, independent samples t-tests, and descriptive statistics.
Based on these findings, it seems that private and public sector companies' work cultures are very similar. This
provides more evidence that workers in the two sectors shared views on the nature of the workplace. Pay and
job stability, though, were very different. Workers in the private sector were more optimistic about their career
advancement opportunities, although government employees reported higher levels of happiness. According to
the results, public organizations guarantee safety and security, whereas private organizations offer more chances
for advancement in one's career. This study adds to what is already known about the impact of different
industries on workers' happiness on the job and gives politicians and business owners practical recommendations
for improving workplace diversity. The needs of each sector can be satisfied in a well-thought-out plan, leading
to happier personnel. There will be less employee turnover and better performance as a result of this.
Keywords: Job Satisfaction; Public Sector; Private Sector; Workplace Culture; Income Security; Career
Advancement; Employee Satisfaction; Bangalore City.
INTRODUCTION
Job satisfaction is an extremely significant aspect of organizational behavior and human resource management
since it directly affects motivation, performance and retention of employees. It is defined as the overall
contentment of an individual with his or her job and is determined by an array of factors which includes salary,
upward mobility, working conditions, management and social association among others (Weiss, 2002). Through
the current busy working world, employee satisfaction has been found to be the most important component that
organizations must retain to ensure that they continue being productive and competitive (Polit and Beck, 2008).
The current study is concerned with job satisfaction within public and private organisations within Bangalore
City, which is especially applicable in this regard because the city plays the dual role of hosting government
institutions and a city of business. Public sector organizations are regarded to be more stable, are designed to
have hierarchies, and offer long-term employment as compared to the dynamic nature of the environment,
performance-oriented cultures, and further growth of careers in the area of the private organizations. The
comparison of the two industries provides useful information on the impact that organizational type has on the
employees in terms of their perceptions of workplace culture, salary and job security, and career development.
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The study uses a comparative cross-sectional research design, which targets employees and managers of
organizations operating in Bangalore over five years, and thus creates a stable structure and credible data (Polit
and Beck, 2008). Stratified random sampling was used to select the employees in both sectors to create the
representation and reduce bias.
This study adds to the increasing literature on organizational behavior in India by studying job satisfaction in
terms of work culture, pay, career development, and job security. Its results are likely to not only bring out the
strengths and weaknesses of the sector but also give practical advise on what can be done to improve employee
satisfaction and organizational performance.
Objectives of the study
1.To critically review and compare the work culture of the public and private organizations in terms of job
satisfaction.
2. To determine the level of work satisfaction among the employees in regard to income and security.
3. To examine the level of employee job satisfaction regarding career development.
Hypothesis of the study
H₀₁ (Null Hypothesis): There is no significant difference in job satisfaction between employees of public and
private organizations with respect to workplace culture.
H₁₁ (Alternative Hypothesis): There is a significant difference in job satisfaction between employees of public
and private organizations with respect to workplace culture.
H₀₂: There is no significant relationship between income, job security, and employee satisfaction in public and
private organizations.
H₁₂: There is a significant relationship between income, job security, and employee satisfaction in public and
private organizations.
H₀₃: Career advancement opportunities do not significantly influence job satisfaction among employees.
H₁₃: Career advancement opportunities significantly influence job satisfaction among employees.
LITERATURE REVIEW
Zhao et al: (2025) conducted an updated literature review that focused on job satisfaction among nurses in
hospitals. The review included the articles published since September 2018 until May 2024, and were acquired
in the eleven electronic databases, such as PubMed, Web of Science, CINAHL, and CNKI. Among the 28,584
works that were initially located, 52 articles were eligible to be included. The authors summarised the
Results of the influencing factors and predictors of job satisfaction among nurses and found 65 different factors
divided into eight sub-categories: demographic characteristics, personality traits, emotions, behaviours,
psychological and cognitive factors, organisational climate, leadership, and management.
The paper has highlighted that individual cognition-related and behaviour-related factors often acted as
mediators in the relations that influenced job satisfaction. This extensive analysis revealed to us the numerous
conditions that can influence the job satisfaction of nurses, providing us with practical notions about the ways
of how to make things in the work place better.
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Imaniyati et al:(2025) researched the effects of Human Resource Information system (HRIS) and organisational
communication on work satisfaction in learning institutions. This research has employed SPSS and quantitative
survey design in investigating the direct and indirect impact of HRIS and communication with work satisfaction
where organisational commitment has been acquainted as a mediating variable. The results revealed that the
HRIS and communication influenced job satisfaction in a large positive manner. These advantages were far
greater in the presence of organisational commitment. The HRIS and communication methods facilitated the
staff to comprehend and identify with the organisational objectives that contributed to an improvement in levels
of satisfaction among staff. The research provided some important recommendations to institutions of learning
that wish to pursue SDG 8 (Sustainable Development Goal 8) by supporting inclusive workplace practices.
Kauppila: (2025) explored the cause and effect relationship between job satisfaction and leader behaviour using
a cross-lagged panel approach. The study used a sample of 638 employees in 34 organisations in Finland in two
data collection periods. The classic view of leadership research has been that the good and useful leaders enhance
the work satisfaction of the employees. This study however did not find an inverse relationship. The results
showed that job satisfaction was a key factor in how employees viewed their leaders and not the leader behaviour
that impacted contentment. According to these findings, Kauppila proposed the Model of Leader Perceptions
that is called the Job Attitude-Interpretation. He explained that job satisfaction is a kind of attitude lens through
which employees analyse the conduct of leaders. It is argued in the paradigm that employees tend to view their
leaders in a positive light more when they are satisfied regardless of quality of leadership. This research was a
major theoretical shift in understanding the effectiveness of leadership and workplace happiness among
organisations.
Huang and Wu: (2025) conducted intensive bibliometric analysis regarding job satisfaction among nurses,
using the results of 11,993 articles on the Web of science database (2004-2023). The authors examined
publishing trends, authorship networks, analysis of keywords and changes of themes over time using R and
VOSviewer. The University of Toronto and the United States were identified to be the most productive country
and institution respectively. Such prominent researchers like Spence Laschinger, Heather K. and Labrague
Leodoro J. emerged as key figures. The most frequent buzzwords were job satisfaction, burnout, turnover and
intention. One trend that was observed was the shift in focus of studies with time, as simpler topics like
organisational features and longitudinal studies were replaced by more modern problems, such as Covid-19,
resilience, and work engagement. The study highlighted the lack of research in developing countries and
promoted the use of multicenter, cross-cultural, and large samples of research to increase the knowledge and
development of the job satisfaction of nurses on a global level. The authors concluded that the literature should
go further than the descriptive studies to explore the real factors that cause satisfaction, such as interpersonal
value consistency and human resource processes in diverse healthcare settings.
Jerrim: (2025) examined the relationship between school leadership and staff job happiness and employee
retention in England using data available on The Engagement Platform, including three waves and over 4,000
school staff. The study showed that positive attitudes towards school leadership had a statistically significant
positive influence on work satisfaction. Moreover, those employees that favoured school leadership during the
autumn term were less likely to leave the school at the end of the academic year. The findings provided insights
of the significance of leadership to satisfaction and retention, which is valuable information that school
management and policy can use.
Śliwicki: (2025) investigated how job satisfaction affects young adults aged 1829 in Germany using five waves
of Linked Personnel Panel (20122021). The research categorized factors that influenced them into four groups,
including socio-demographic characteristics, employment terms, organizational environment and commitment
and career advancement. This research used multinomial logit regression and concluded that socio-demographic
factors had a very small impact, but workplace atmosphere and working conditions became the most essential
predictors before the COVID-19 pandemic. Personal growth and interaction were the most significant during
the period of the epidemic. The research found out that contextual and psychological factors had a significant
impact on job satisfaction particularly among young professionals who have entered the labor market.
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Saadatmand and Karampourian: (2025) conducted a cross-sectional study, which included 210 nurses in
affiliated educational hospitals located in Hamadan University of Medical Sciences in Iran. The purpose of the
research was to establish the correlation between the organisational justice and work satisfaction. To achieve
this, they used common tools like the Organisational Justice Questionnaire, and Minnesota Satisfaction
Questionnaire (MSQ). The findings revealed that the job satisfaction was low and the organisational justice was
very weak. A large positive correlation (r = 0.52; p < 0.05) was however observed between the two variables.
This implies that the perceived workplace equity of people has a significant influence on their level of happiness.
The authors recommended that the work of the hospital management should be to improve the distributive,
procedural, and interactional justice to enhance staff morale and performance.
Handayani et al: (2025) conducted a scoping review to research on the factors which influence the level of
happiness of hospital medical staff about their working environments since it has been known that happy medical
workers provide better care to their patients. The analysis of the 38 research articles has been carried out with a
close selection of the research articles published in 2024 and acquired in Scopus and ScienceDirect. The findings
showed that intrinsic and extrinsic factors had a significant influence on job satisfaction. Among the intrinsic
factors were burnout, work overload, psychosocial problems, and achievement, and its external variables were
the working conditions, the leadership style, pay, teamwork, and the empowerment, which can be achieved
through training and education. It revealed that a range of these stresses were exacerbated during and after the
COVID-19 pandemic, and both psychological resilience and organisational support were especially relevant to
the delivery of healthcare. The discussion highlighted that any policies that are designed to enhance satisfaction
should balance institutional changes (enhancements in work conditions and remuneration) with individual
support programs (trainings and mental health programs).
RESEARCH METHODOLOGY
The research, titled Comparative Analysis of Work Culture, Income Security, and Career Advancement as
Determinants of Job Satisfaction in Public and Private Organizations of Bangalore City,” used a comparative
cross-sectional study design to assess job satisfaction in the public and the private organizations.
Research Design
The study adopted a cross-sectional design of comparison. The data collection was conducted among the
employees of both commercial and public enterprises at the same time. This design enabled the comparison of
the work culture, pay and job security, as well as the career progression opportunities of the two sectors.
Population of the Study
The participants under study were the staff of both government and non-governmental business in Bangalore
City. We have considered managers and non-managers to have a broad perspective on the work culture, job
security and career development in the organization.
Sample & Sampling Method
The stratified random sample technique was adopted so that both the public employees and the employees of the
private sector were considered.
Sample Size: The survey was of 200 employees consisting of 100 employees of public institutions and 100
employees of private firms.
Strata: The respondents were randomly selected in categories according to the organization type (public or
private) and within the category, respondents were selected randomly.
This strategy made sure that everyone was represented fairly and reduced bias.
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Data Sources
Primary Data: A standardized questionnaire was used to collect data which focused on three elements of job
satisfaction:
The culture at work
Job security and income
Career Advancement
Secondary Data: Books, journals, papers, and online resources related to the topics of job satisfaction and
organizational psychology were used to support the theory.
Tools for Data Collection
The main data collection tool used was a structured questionnaire. It contained both multiple-choice questions
and 5 point Likert scale items (from Strongly Disagree to Strongly Agree) closely linked to the purposes and
hypotheses of the study..
Variables of the study
Dependent Variable
Job Satisfaction: The study employed work satisfaction as a dependent variable to examine the influence
of various organizational and human attributes on employee job satisfaction.
Independent Variables
The study identified the following factors as independent variables:
Work culture: It concerns the way people in an organization interact with each other, how things get
done and how people work together.
Income and Job Security: the amount of money you earn, the reasonableness of the wage, and the
security you feel about your work.
Career Advancement Opportunities: implement professional development, training and promotional
policies and opportunities.
Workplace Facilities: resources that people might use to help them do their jobs, both physical and
organizational.
Reliability and Validity
Pilot Testing: To ensure that it was understandable and reliable, the test questionnaire was given to 20
individuals (10 in each sector).
Reliability Measure: To determine the degree of internal consistency, we used Cronbach alpha, and a
score of 0.70 was considered good.
Content Validity: To ensure that the questionnaire items were appropriate and pertinent, they were
reviewed by academic experts and human resources specialists.
Techniques for Data Analysis
Quantitative statistical tools were used to look at the data that was collected.
1. The employees' responses were compiled using descriptive statistics (mean, standard deviation, and
percentage).
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2. Important variations in job satisfaction between individuals and private companies were also revealed by the
Independent Samples t-test/ANOVA.
3. The relationships between career growth, job security, work culture, and job satisfaction were examined using
regression and correlation analysis.
We used SPSS software to test hypotheses and make sense of the results for all of the studies.
Data Analysis and Interepretation
Statistical analysis of descriptive and inferential method replies is part of the data analysis and interpretation
chapter. With an eye toward the research's potential goals and hypotheses, it highlights patterns, comparisons
across sectors, and intriguing correlations.
Table 1: Demographic Profile of Respondents (N = 200)
Variable
Category
Frequency
Percentage (%)
Gender
Male
118
59.0%
Female
82
41.0%
Age Group
Below 30 years
64
32.0%
30–40 years
78
39.0%
41–50 years
40
20.0%
Above 50 years
18
9.0%
Education
Undergraduate
96
48.0%
Postgraduate
78
39.0%
Professional
26
13.0%
Work Experience
Less than 5 years
86
43.0%
5–10 years
72
36.0%
More than 10 years
42
21.0%
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Male
Female
Below 30 years
30–40 years
41–50 years
Above 50 years
Undergraduate
Postgraduate
Professional
Less than 5 years
5–10 years
More than 10 years
Gender Age Group Education Work Experience
0.00%
10.00%
20.00%
30.00%
40.00%
50.00%
60.00%
70.00%
59.00%
41.00%
32.00%
39.00%
20.00%
9.00%
48.00%
39.00%
13.00%
43.00%
36.00%
21.00%
Demographic Profile
Figure 1: Percentage of Demographic Profile
The demographic description of the 200 respondents is as shown in table 1. The case study reveals that most of
the employees were male (59%), with females making up 41% of the employees, which implies that the
workforce in both government and business entities was slightly male dominated.
Regarding the age structure, the highest number of employees was within the age group of 30 to 40 years old
(39%), and the age group of below 30 years (32%). A lower proportion were aged 41-50 (20 %) and 50 years
and above (9 %), which indicates that the majority of the respondents were in their early or middle career.
The education level indicates that 48 percent of the respondents were undergraduates and 39 % data on work
experience also shows that 43 percent of workers had less than five years of employment, 36 % had five-ten
years and 21 percent had over ten years of employment.
Table 2: Descriptive Statistics of Job Satisfaction Dimensions
Mean
Std. Deviation
Minimum
Maximum
3.82
0.64
1.00
5.00
3.71
0.78
1.00
5.00
3.54
0.83
1.00
5.00
3.62
0.79
1.00
5.00
3.68
0.72
1.00
5.00
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Work Culture
Income and Job Security
Career Advancement
Workplace Facilities
Overall Job Satisfaction
0
1
2
3
4
3.82
3.71
3.54
3.62
3.68
0.64
0.78
0.83
0.79
0.72
Descriptive Statistics
Mean Std. Deviation
Figure 2: Mean and S.D of of Job Satisfaction Dimensions
Table 2 presents the summary of descriptive statistics of job satisfaction dimensions. The most significant mean
(M = 3.82, SD = 0.64) was achieved on work culture, meaning that the employees were generally positive in
their perceptions of the organizational climate and interpersonal relationships. A high mean score was also
registered in income and job security (M = 3.71, SD = 0.78) indicating that compensation and stability were
found to be satisfactory. Conversely, career advancement scored lowest (M = 3.54, SD = 0.83) as a result of low
levels of satisfaction with promotion policies and development opportunities. There was moderate level of
satisfaction with work place facilities (M = 3.62, SD = 0.79) and overall job satisfaction mean was 3.68 (SD =
0.72).
Hypothesis Testing
H₀₁ (Null Hypothesis): There is no significant difference in job satisfaction between employees of public and
private organizations with respect to workplace culture.
H₁₁ (Alternative Hypothesis): There is a significant difference in job satisfaction between employees of public
and private organizations with respect to workplace culture.
Table 3: Group Statistics of Workplace Culture by Sector
Sector
N
Mean
Std. Deviation
Std. Error
Mean
Workplace
Culture
Public
100
3.81
.45
.027
Private
100
3.77
.46
.027
Table 3 presents the group data of the culture of work of both the public and the commercial enterprises. The
table displays the average, standard deviation, standard error of the mean, and number of respondents (N) for
each sector. Workers in the public sector (N = 100) gave the workplace culture an average score of 3.81, with
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a standard deviation of 0.45. Among private sector employees (N = 100), the average score was 3.77, with a
standard deviation of 0.46. The values show that there are very little differences between the two industries'
perceptions of workplace culture.
Table 4: Independent Samples t-Test for Workplace Culture Differences
Sector
Levene's Test for Equality
of Variances
t-test for Equality of Means
F
Sig.
T
Df
Sig. (2-tailed)
Workplace
Culture
Public
1.362
0.07
1.815
148
0.06
Private
1.815
147.878
0.06
Table 4 displays the workplace culture independent samples t-test. The table displays the results of the Levene
test's test of equality of variances and the t-test's test of equality of means, which takes into account the t-value,
degree of freedom, and level of significance.
The test result showed that the equal variance was not broken (F = 1.362, p = 0.07). The working culture of
public and private companies did not differ statistically significantly, according to the t-test's t-value of 1.815
and p-value of 0.06.
H₀₂: There is no significant relationship between income, job security, and employee satisfaction in public and
private organizations.
H₁₂: There is a significant relationship between income, job security, and employee satisfaction in public and
private organizations.
Table 5: Group Statistics of Income and Job Security by Sector
Sector
N
Mean
Std. Deviation
Std. Error
Mean
Income & Job
Security
Public
100
3.8
.41
.024
Private
100
3.6
.54
.032
Table 5 shows some example numbers about how much public and private sector workers get paid and how safe
their jobs are. The table shows the mean score, standard deviation, standard error mean, and responses based on
how many people answered.
The population's average government employee (N = 100) was 3.80, with a standard deviation of 0.41. There
was a lower average score of 3.60 among the workers in the private sector (N = 100), though the standard
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deviation was larger, 0.54. This implies that employees of government agencies believed that their wages and
work security were superior to that of employees of private firms.
Table 6: Independent Samples t-Test for Income and Job Security Differences
Sector
Levene's Test for Equality
of Variances
t-test for Equality of Means
F
Sig.
T
Df
Sig. (2-tailed)
Income &
Job Security
Public
24.249
.000
4.414
148
.000
Private
4.414
111.977
.000
Table 6 depicts the t-test that examines the pay and job security of the public and private enterprises as
independent. The variance of the groups was not equal, the test of the equality of variances depending on Levene
was significant (F = 24.249, p = <0.001). The t-test value (t = 4.414, p < 0.001) was found to be significant and
the implication was that people at the public work set up were more satisfied with the salary and employment
security than their colleagues at the private work set up.
H₀₃: Career advancement opportunities do not significantly influence job satisfaction among employees.
H₁₃: Career advancement opportunities significantly influence job satisfaction among employees.
Table 7: Group Statistics of Career advancement opportunities by Sector
Sector
N
Mean
Std. Deviation
Std. Error
Mean
Career
advancement
opportunities
Public
100
3.51
.56
.035
Private
100
3.64
.43
.026
Table 7 shows group statistics on the chances to climb up the ladder in your job. It has mean, standard deviation
as well as standard error of both the private and the public groups and sample size. The employees in the public
sector (N = 100) had a mean of 3.51 and the standard deviation of 0.56. The average of the employees in the
corporate world (N = 100) was 3.64 and the standard deviation of 0.43. It means that the workers who worked
in privately owned companies felt that they had more chances of professional development as compared to
workers in state owned companies.
Table 8: Independent Samples t-Test for Career advancement opportunities Differences
Sector
Levene's Test for Equality
of Variances
t-test for Equality of Means
F
Sig.
T
Df
Sig. (2-tailed)
Career
advancement
opportunities
Public
12.825
.000
5.363
148
.003
Private
5.363
118.543
.003
Table 8 presents the independent samples t-test results of professional growth opportunities. The test of Levene
was significant (F = 12.825, p =< 0.001) which implies that the assumption of equal variances was not satisfied.
The t-test value (t = 5.363, p = 0.003) confirmed that the difference between the views on the opportunities of
professional progression between the public and the overall support of the personnel in the domain of the two-
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sector difference was significant. The data shows that the employees of the private sector had been significantly
more satisfied with the opportunities to grow professionally than those of the public sector.
FUTURE SCOPE AND CONCLUSION
The study has investigated job satisfaction among employees in the public and private business in Bangalore
City with reference to workplace culture, salary, job security, and career growth opportunities. Analysis of
reactions of 200 employees revealed that there were high disparities between sectors. No statistically significant
difference between the two sectors in the workplace culture was found. That indicates that the organizational
setting and relationships with colleagues in both state and privately owned firms were perceived similarly by the
employees. There were however large inequalities in job security and income satisfaction. Workers in the public
sector were also happier since they had more stable jobs and their salaries were better predictable. Conversely,
employees in the private sector felt more satisfied with their growth opportunities and this indicates that their
promotion processes are more lenient and their environment is more growth oriented. The study found that both
public and private companies offer pleasant workplaces, but the types of pleasure they promote are different.
When comparing public and private enterprises, the former provides more work stability and security, while the
latter offers more opportunities for career advancement. It is crucial to develop industry-specific strategies to
boost job satisfaction and organizational success, according to these findings.
Future research can be directed in various directions by this study. To begin, in order to get a better picture of
the state of work satisfaction in India as a whole, future studies may expand the poll to cover a wider range of
demographics and locations. Second, in order to provide a fuller picture of what makes employees happy, future
research may include additional factors including leadership style, work-life balance, organizational dedication,
and training and development programs. Third, in order to see how job satisfaction changes over time,
particularly in connection to economic conditions and organizational structure growth, researchers can use
longitudinal designs. Fourth, further research is needed to determine the moderating impacts of demographic
variables on work satisfaction outcomes. These variables include gender, age, and educational background. In
the end, a more complete picture of staff feelings and goals can be painted by supplementing the qualitative
results with data collected through interviews and focus groups.
Future research can help in the development of more detailed models of job happiness in these directions. This
will help the policy makers or the corporate leaders to create sustainable, compensating, and productive work
places.
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