1. Factors that affect Employees Job Satisfaction and Performance
to Increase Customers’ Satisfactions
By: Mohammd Abuhashesh, Rand Al-Dmour and Ra’ed Masa’deh, 2019
Background of the Study
While most people would agree that a job or an occupation is an essential part of life, individuals view work
differently. Some people consider their job simply as a means to monetary compensation, while others consider it to be
what defines their social status. We spend much of our time in the workplace; thus, we hope to find some personal
interest and job satisfaction there since bringing the happiness and peace of mind is necessary to balance our personal
lives and affects family and social relationships. From an employer’s standpoint, it is in their interests to create a work
environment where employees feel motivated and encouraged to apply their full energies. The focus of this study is to
identify the factors that influence employee satisfaction and performance, with a view of helping business managers to
attract, motivate and retain their employees in the long term.
2. This study is anchored with the following objectives:
1. To describe the respondents profile
2. To determine the factors affecting job satisfaction
3. To determine the most factors influencing decision to leave a job
4. To test if there is a significant relationship on factors affecting job
satisfaction and most factors influencing decision to leave a job when grouped
according to respondents profile
Objectives Of The Study
Respondents of the study
The respondents of the study include 147 employees. The research population is employees in the industrial
sector in Jordan. Random sampling was used to increase the probability of fair selection among members of the
population. To take a random sample, a procedure must be formulated to make sure that each member of the
population has equal probability of being selected and this must be done prior to selecting members to make sure
bias sampling does not occur (Davies, 2007). An unbiased sample helps the researcher to achieve accurate data,
gives a better generalization about the entire population, and saves time and money..
3. Data Analysis
Descriptive Statistics
Frequency count and Percentage – This is used to describe the respondents profile. Furthermore, this was
also used in determine the factors affecting job satisfaction and most factors influencing decision to
leave a job
Inferential Statistics
Chi – Square for independence test – this is used to test if there is a significant relationship on factors
affecting job satisfaction and most factors influencing decision to leave a job when grouped according to
respondents profile
4. Category Frequency Percent
Male 113 77%
Female 34 23%
Total 147 100%
Figure 1. Tabular representation of the
respondents’ Gender
77%
23%
FREQUENCY
Male
Female
Table 1. Graphical representation of the
respondents’ Gender
As shown in the table above, distribution of respondents in terms of gender, out of 147
respondents, Male has the highest frequency of 113 or 77% while Female has the least
frequency of 34 or 23%. This implies that majority of the respondents are Male.
5. Category Frequency Percent
18 - 25 years old 120 82%
26 - 35 years old 27 18%
Total 147 100%
Figure 2. Tabular representation of the
respondents’Age
82%
18%
FREQUENCY
18 - 25 years old
26 - 35 years old
Table 2. Graphical representation of the
respondents’Age
As shown in the table above, distribution of respondents in terms of age, out of
147 respondents, 18 - 25 years old has the highest frequency of 120 or 82% while 26 -
35 years old has the least frequency of 27 or 18%. This implies that majority of the
respondents are 18 - 25 years old .
6. Table 3. The Factors Affecting Job Satisfaction
Factor Frequency Percent Rank
Salary 90 61 1
Benefits 85 58 2
Job security 46 31 4
Stress levels 53 36 3
Faster promotion 26 18 5
As shown in the table above, the factors affecting job satisfaction, out of 147
respondents, Salary was the most factor affecting respondents job satisfaction having the
highest frequency of 90 or 61% followed by Benefits having a frequency of 85 or 58%. The
least frequency of 26 or 18% fell under Faster promotion. This implies that the most factor
affecting respondents job satisfaction was Salary.
0
20
40
60
80
100
Salary Benefits Job security Stress levels
Factors affecting Job
Satisfaction
Factor
7. Table 4. The Most Factors Influencing Decision To Leave A Job
Factor Frequency Percent Rank
Low salary 95 65 1
Bad work conditions 45 31 5
Negative environment 88 60 2
Job security 76 52 4
Low career growth 14 10 7
Poor management 44 30 6
High level of stress 78 53 3
As shown in the table above, the most factors influencing decision to leave a job, Low
salary was the the most factors influencing decision to leave a job having the highest
frequency of 95 or 65% followed by Negative environment having a frequency of 88 or 60%.
The least frequency of 14 or 10% fell under Low career growth. This implies that the most
factors influencing decision to leave a job was Low Salary.
0
20
40
60
80
100
Factors Influencing Decision
To Leave A Job
Factor
8. Correlation Profile P value Chi value Remarks
Factors Affecting Job
Satisfaction
Gender Profile Male Female
Salary 83 7
347.05 0.000 Significant
Benefits 7 78
Job security 33 13
Stress levels 3 50
Faster promotion 11 15
Age Profile 18 - 25 26 - 35
Salary 33 57
38.851 0.000 Significant
Benefits 22 63
Job security 33 13
Stress levels 33 20
Faster promotion 17 9
Factors Influencing Decision
To Leave A Job
Gender Profile Male Female
Low salary 72 23
13.669 0.034 Significant
Bad work conditions 21 24
Negative environment 56 32
Job security 53 23
Low career growth 8 6
Poor management 32 12
High level of stress 52 26
Age Profile 18 - 25 26 - 35
Low salary 43 52
35.890 0.000 Significant
Bad work conditions 21 24
Negative environment 34 54
Job security 22 54
Low career growth 8 6
Poor management 33 11
High level of stress 50 28
Table 5. Significant Relationship On Factors Affecting Job Satisfaction And Most Factors Influencing Decision To
Leave A Job When Grouped According To Respondents Profile
As shown in the table above, significant relationship on
factors affecting job satisfaction and most factors influencing
decision to leave a job when grouped according to
respondents profile, using Chi square for independence test
resulted to a significant relationship on the factors affecting
job satisfaction and factors influencing decision to leave a job
when grouped according to gender and age profile as
confirmed by the p value of 0.000 – 0.034 < 0.05 level of
significance. Overall results implies that there is significant
relationship on factors affecting job satisfaction and most
factors influencing decision to leave a job when grouped
according to respondents profile.
