Impact of Employee Turnover in Automobile Industry.

Running head: IMPACT OF EMPLOYEE TURNOVER IN AUTOMOBILE INDUSTRY
IMPACT OF EMPLOYEE TURNOVER IN AUTOMOBILE INDUSTRY
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IMPACT OF EMPLOYEE TURNOVER IN AUTOMOBILE INDUSTRY1
Table of Contents
Methods......................................................................................................................................2
Results........................................................................................................................................3
Quantitative Analysis.............................................................................................................3
Demographic Profile..........................................................................................................3
Survey Profile.....................................................................................................................4
Statistics.............................................................................................................................4
Qualitative Analysis...............................................................................................................5
References..................................................................................................................................7
Appendices – A..........................................................................................................................9
Appendices – B........................................................................................................................10

IMPACT OF EMPLOYEE TURNOVER IN AUTOMOBILE INDUSTRY2
Methods
Both qualitative and quantitative methods of research are carried out to understand the
aftermath of high turnover of employees in the automobile industry (Bankar, Kakade &
More, 2016). This mixed research design will help to evaluate both the response of the
participants in details and assess the general information about them (Hennink, Hutter &
Bailey, 2020). This research will also help in determining the relationship shared between the
factors of the workplace environment that can be responsible for the exclusion of the
employees from the industry of automobiles (Tracy, 2019). For the research to be carried out
successfully, primary data is collected in the sample from the various organizations of the
automobile industries. Primary data is very much efficient and reliable in nature because, it is
collected by the researchers from the immediate sources and are effective in the study
(Rutberg & Bouikidis, 2018). The data is collected by the method of questionnaire from the
employees and interview of managers.
A sample of 100 employees were selected for this survey randomly from the various
organizations of the automobile industry who were encountered with the questionnaire survey
in order to obtain their reviews and analyse the effect of employee reduction. In addition, to
that an interview was also conducted amongst the five managers from various organizations
for the qualitative research method.
The statistical technique to check the relation between two components is termed as
the correlation. This technique checks how much one variable in the relation is dependent on
the other one (Bryman, 2017). The coefficient of correlation determines how strongly or
weakly the variables are analogous with each other. Numerical value of correlation
coefficient varies from the range (+1) to (-1), depending on which the favourable correlation

IMPACT OF EMPLOYEE TURNOVER IN AUTOMOBILE INDUSTRY3
and unfavourable correlation are determined (Brannen, 2017). If the value of correlation is
positive and varies from zero to (+1), then it is the condition of favourable correlation.
For the investigation purpose, the Likert-scale technique is implemented that has five
categories that ranges from ‘Strongly Disagree’ to ‘Strongly Agree’. The interviewer has
decided to implement this technique in the questionnaire such that the respondents can avoid
giving ambiguous answers and thus be direct and straightforward with their answers (Chiat &
Panatik, 2019). This content analysis will be conducted by a questionnaire that will have a
thorough detailed answer from the respondents. This questionnaire will particularly
determine the key factors behind employee turnover.
Results
Quantitative Analysis
Demographic Profile
The sample that is collected for the research contains the details of 100 employees
that were questioned to assess the significant impact of the turnover of the employees from
the organizations in the automobile industries. This information included the gender of the
employees and their age groups. With the statistical analysis of these data obtained from the
employees, a clear view is generated about the description of the sample collected for the
research study. The pie chart is derived by analysing the data sample that depicts the gender
of the employees in percentage. Amongst the data, 59% staffs are female whereas 41% are
male. Apart from the classification of gender, the age groups of the staffs are also
categorised into four sections that are (21-30) years, (31-40 years), (41-50) years and the
employees that are more than 50 years. While calculating the frequencies from the data
sample, it is seen that 23% employees have experience of hardly one to three years. A
percentage of 26% employees’ works in the age group of 31-40 years. The maximum