Analysis of Employee Job Satisfaction and Turnover Rate: A Case Study

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Business analysis
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Table of Contents
Introduction......................................................................................................................................3
Research Methodology....................................................................................................................4
Problem Definitions.........................................................................................................................5
Statically tools and Techniques.......................................................................................................8
Results, and Statistical and non-statistical interpretation..............................................................13
Conclusive Interpretation report of the statistical data..................................................................18
Recommendations..........................................................................................................................19
Reference.......................................................................................................................................21
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Introduction
A Global company of Sydney is currently y faced some of the issues from their employee and
they are not able to cope up with challenges in the market which reflects in their business
performance. In the current scenario, the company is suffered from high labor turnover rate
which means the employee is not satisfied with the job and working condition of the company
which results in an increase in labor turnover rate of the company. To identify the business and
requirement company conducted a survey in which they asked questions to their employee so
that they can better assess the job satisfaction of their employee. The company had Three
hundred employees so for survey company sample size is 300 on which they acquire the data to
analysis job satisfaction level of the employee in the market. Though this study or survey
company or management identified the major issue which is faced by the organization and also
evaluate the mindset of the employee toward the working condition of the business entity.
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Research Methodology
The research methodology is defined as the data structure which helps management or researcher
to analyze the data to achieve their targeted objective from the research. This methodology
includes all the tools and technique which is needed by management or researcher to collected
and analysis the data to finding a proper result which can support their business decision. It
provides a guideline for the research to implement their research schedule to achieve a certain
objective.
The research methodology is the principle which includes all tools and techniques which helps
the researcher in collection and interpretations of the data which helps the researcher in better
decision-making (Kumar, 2019). Research Methodology guides the researcher from the
collection of the data to the interpretation of the data.
Primary Data
Primary data is defined as the fress collected data which is not processed by any of the
researchers for their use. This kind of data directly collected from a population which provides
high reliability to a researcher in In this condiction company collected information from their
employee by filling the questionnaire ( A set of Questions) to identify their job satisfaction for
the business or working environment.
Sample Selection - Randomly from the population
Sample Size - 300 Employees
Sample Collected - 300 Questionnaire
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Statistical Test - Parametric and Non-Parametric test
Secondary Data
The secondary data is defined as the process data which is used by the researcher for their
reference in the research. This kind of data is already processed by someone else in the market
and the researcher can use that data on the best availability of the resources so that they can
justify their finding from research. Secondary data collected from various written material
available in journal, Online Sites, Research paper, Books and other things which is accessible for
researcher and related to their current study. Business collected secondary data from various
sources which are as follows
 Newspaper
 Research Article
 Research Paper
 Books and reference guide
Problem Definitions
Global Corporation wants to know their issue which enables a high turnover rate in the market
for business. To identify the issue management need to define the problem (Hypothesis) for
business research which can help them in identifying the major changes need in business
activities to overcome the labor turnover rate in the market (Frost J.2019). To identify the
problem some of the hypothesis needs to draft to analysis the information collected from the
survey so that researcher can identify major finding which helps them in achieving the target and
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goals. The hypothesis is defined as the statement or assumption of research which they want to
prove during the research. Here are some of the hypothesis is drafted by Business to fulfill their
objective of market analysis which is as followed.
Identification of Frequency in the gender for the business for each of the variables
Null Hypothesis (H0) = Genders had a positive frequency in the business activities
Alternative Hypothesis (H1) = Genders don't have a positive frequency in the business activities
There are meaningful differences between the Job satisfaction score before and after
training.
Null Hypothesis (H0) = There is No relevance between Job satisfaction score after or before
training.
Alternative Hypothesis (H1) = There is No relevance between Job satisfaction score after or
before training.
There are meaningful differences between Gender and the Job satisfaction score
Null Hypothesis (H0) = There is No relevance between Job satisfaction and Gender of the
employee.
Alternative Hypothesis (H1) = There is No relevance between Job satisfaction and Gender of the
employee.
There are meaningful differences between Gender and Age of employee.
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Null Hypothesis (H0) = There is No relevance between Age of employee and Gender of the
employee.
Alternative Hypothesis (H1) = There is relevance between Age of employee and Gender of the
employee.
There is a central location of the data which is collected from the population.
Null Hypothesis (H0) = There is no Central location or variable for the data collected.
Alternative Hypothesis (H1) = There is no Central location or variable for the data collected.
Business needs to identify the information which helps them in achieving their finding from the
research. For identified major finding from collected data various hypothesis is defined and data
collected on the deferent variable such as Nominal, Scale and Ordinal.
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Statically tools and Techniques
Global corporations need to identify the issues related to job satisfaction of employee who is
engaged in the business process of the company. To identify the job satisfaction various
statistical tools and technique are used by management for the purpose of business activities. Job
satisfaction depends on various factors so that company needs to identify and recognized the
factor which can influence the performance of activities of an employee in the business and
recognize the issue which is raised during the operational activities of employee in the business.
The company used various data which is related to the issues and best interpret the problem to
achieve a certain finding from the business activities so that management is able to take
corrective action which enables them to achieve their targets and reduce labor turnover rate for
the business entity.
Correlation analysis
Correlation is the tool which is used by management to identify the relationships among the
variable of research. Through correlation, management is able to identify the significant changes
which are depended on the variable in the market. As company concern for job satisfaction, there
are several factors exist in the market which can influence the performance of job satisfaction of
employee in a business entity (Djsresearch, 2019). To identified those factors and understand
their impact on job satisfaction correlation is the appropriate statistical tool which helps
management in provides corrective action to overcome the impact of those factors which
influenced labor turnover rate for Global business.
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As business want to know about the relation of gender on job satisfaction for which company can
use Correlation tool which enables them to understand the relationships among the variable so
that they assess the relation between job satisfaction and Gender of employee
Regression Analysis
Regression is the tool which enables management to understand the relationships among the
variable for the study which can be helpful for management so that they can identify the major
impact of the independent variable on dependent variable which is a concern for a business
entity. It interprets relationships among the variable and also guides management for analyses the
influence factor on which variable can impact another variable in the market conducted to
identify the relationships among the two variables. From the finding of Regression, Analysis
Company takes corrective action which helps them to overcome the impact of the independent
variable on the performance of dependent variable sp that company can achieve their targeted
objective to overcome the rate of labor turnover by increasing job satisfaction of the employee.
From this study, management wants to know about the significance Impact of training on job
satisfaction by identified the signification difference among the score of job satisfaction before
training and after the training which enables management to understand the usefulness of
training in the context of job satisfaction.
Descriptive analysis
Descriptive analyses are the tool which helps management in the identification of central
variable of the research data and provides relevant information on which company can identify a
major corrective decision which helps them to achieve their targets (Researchconnections, 201).
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Further Management can use this statistical tool which is identified various result like mean,
mode and median from the data further significant and coefficient also identified from the
research (Woodruff, & Zhang, 2015). Descriptive analysis is the tool which helps management
to identify the details to their business activities and provide information so that company can
take corrective action to overcome the issue for their business activities.
As the business wants to identify job satisfaction from the information collected in business
activities. The statistical tool is used by a business entity which can be a most useful tool so that
company can identify the central assumption of the crowd on job satisfaction and also analysis
the data to define a central result of the crowd on which company can identify the issues related
to their operational activities.
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T-Test
The t-test is the non-parametric test which is used by management to analyze the information of
the business entity. This tool evaluates the means of sample size with the population so that
company or management can achieve effective information for their business activities. This test
identified any significant difference among the sample mean and population means which
interpret the relationship between the sample and population (Lakens, 2017). T-test helps
management to identify a result from sample size which is applicable to the population so the
company can broadly interpret the data and drafted a reflective strategy to overcome the issues.
In this scenario, the company needs to identify job satisfaction and major issue related to job
satisfaction in the market. As the business needs to evaluate its policies related to job satisfaction
this tool can be the best option on which company can analyze the data to identify a major result
from research data to take corrective action
One way ANOVA Test
ANOVA is the parametric test which is used by management to identify the relationships among
the variable of the population on which they can take corrective action which enables them to
overcome their labor rate in the market. ANOVA is the test which evaluate the relation between
two independent variable or the perspective of research (Goos & Meintrup, 2016). As the
company goes for One way ANOVA which provide a framework in which company measures
the impact of one variable on the performance of another independent variable so that company
defines a corrective action list for the betterment of their business environment which helps them
to sustain their employee in the company.
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Global company needs to reconcile the information related to job satisfaction among the
employee which is affected by a various factor in the market. The company can use the ANOVA
test to identify the relative variable so that they can control the factor which is highly impacting
on the performance of job satisfaction score for employee of the organization.
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