This section of the research study explains
the research structures that are adopted to conduct this study in effective
manners.as indicated its name and term, this chapter explains the materials and
methods that are particularly utilized in this dissertation. Furthermore, the
Research philosophy, Research philosophy, Research Strategy, Sampling,
Population, Sample Size, Data Collection Method, Data Collection Instrument
(Questionnaires), and Limitations of Methodology is explained in this chapter
along with detailed of the ethical considerations. The research design is
considered as the framework that is required for conducting complete research
work. The design of the study is required to identify the type of research
related to conducting the work. The design of the research is considered as the
framework that is required to answer the particular research questions of this
study, and it also used for further investigations. In the above-given
paragraph the types of the entire research are discussed in effective manners.
3.2 Research
philosophy of Supply Chain and How Is the Effectiveness in
the Global Economy
The research philosophy is considered as the
particular belief related to ways and means that are required analyzing and
gathering the data that will be utilized in this study. The major purpose of
the research philosophy is to transform the beliefs of things into known
things. There are various kinds of
research philosophies that can be incurred in order to conduct the research
study. By using the particular western traditions two types of major research
philosophies are used in this study. These philosophies are named as; Positivism
and Interpretivism. Both kinds of research philosophies are utilized to
composing this research study because the according to the belief of the
positivists the reality is always stable, and it can be described and observed
by the research objective that is established in the earlier parts of the
study. The positivist paradigm is leading towards the experiments, and it is
particularly utilized to test the hypothesis. Interpretivism research paradigm
always explains the concepts of the pre-existing data that is used in any
research study.
3.3 Research Approach
of Supply Chain and How Is the Effectiveness in the Global Economy
The research approach is considered as the
particular approach that is used for conducting the research. The research
approach is usually decided by considering the selection of research questions;
it also explains the particular conceptual framework that has been adopted to
conduct the research study. The selection of the appropriate source data
collection is considered by following the research approach. Both kinds of
research approaches are utilized in order to conduct the subject study, and
these are deductive and inductive research approaches. The deductive research
approach usually starts with the development and testing of the hypothesis.
Meanwhile, the inductive research approach is particularly utilized the
research questions in order to slander the scope
of the study. The emphasis is particularly causality under the deductive
research approach meanwhile the inductive research approach is usually focusing
on the exploration of the phenomena in order to seek the previous research
phenomena.
3.4
Data Collection Method of Supply Chain and How Is the Effectiveness in the
Global Economy
The research is conducted by
using both sources of data collection is primary and secondary. The secondary
spruces data collection is utilized by emphasizing the previously existing data
that has been utilized for the various projects, and it also includes theories
of the various authors that are conducted on the particular topic of the Supply Chain and How its Effectiveness in the
Global Economy. It includes research papers journals articles. It can be the
annual report of the companies. The secondary source data collection leads
towards the entire source related to the Supply Chain in the Global Economy,
and it explores the concepts of the various researchers on this particular
topic. The self-administrated data is considered as the primary source of data
collection according to the primary source data the data is always conducted by
using both kinds of the research methods that are qualitative and quantitative
research methods.
3.5 Research Strategy
of Supply Chain and How Is the Effectiveness in the Global Economy
The research strategy is considered as the
techniques and methods that are particularly utilized to conduct the research,
methods, and data from the respondents. In this said study, both kinds of
research strategies are utilized because the study explores the concepts of the
research question qualitatively, and the hypothesis is tested as well by
generating the numeric data in order to attain the research objective for the
Supply Chain in the Global Economy. By adopting the qualitative research
methods the objective and aim of the research study are explained in
descriptive and detailed manners. Meanwhile the quantitative research method is
utilized to classifying the features that count them. The entire kinds of
statistical models are constructed under the quantitative research methods, and
it is good strategy for analyzing the data numerically and generating the
various kinds of graphs and charts. The quantitative research methods are
applied in this study because the expected results for the outcomes of the
study have been decided already (Langkos, 2014).
3.6
Sampling of
Supply Chain and How Is the Effectiveness in the Global Economy
The sampling is considered
as the method which alludes the researchers to conclude the information related
population that is based upon the results from the subset of the populations.
In the research study, the reductions in the numbers of individuals can reduce
the cost of the workload. The professionals of the supply chain management are
taken as the sample in this study. The
supply chain management professionals are those individuals of companies that
qualified in different areas related to supply chain management. The
respondents are selected on the basis of non-probability approach, and
purposive sampling technique is used. The data is collected from different
firms to measure global impact of supply chain. The professional of the well
knows n firms have ability to participate in this study for providing their
views related effectiveness of supply chain management in global economy. The
purposive sampling methods are referred for the benefits of being cost and time
effective in order to perform while resulting the long ranges of the responses
of the participants. The purposive sampling techniques provide us chances to
select the individuals for the study according to the personal requirements.
3.7
Sample Size of Supply Chain and How Is the Effectiveness in the Global Economy
By using the purposive sampling techniques,
this particular study is conducted. The data is collected from the 300
respondents. It means the sample size of this study is 300 respondents, or it
can be said that there are 300 professionals who are working under the supply
chain firms, and they have provided their views for the effectiveness of the
supply chain in global economy. The study uses 300 responses from the supply
management professionals of different manufacturing-based firms that are
offering the functions of the supply chain. There are numerous approaches that
can be utilized in order to identify the sample size because the identification
sample size is one of the most important procedures while conducting the
research study. The sample size directly affects the cost of the study. In
order to test the hypothesis the sampling size is the most important thing
because if the sample size would not be accurate it is too difficult to test
the hypothesis in good way.
3.8
Data Collection Instrument (Questionnaires) of Supply Chain and How Is the
Effectiveness in the Global Economy
The questionnaires are utilized as instrument
of the study in order collect the data from the respondents. The questionnaires
were self-administered questionnaires that have been used in order to attain
the objective of the research study. This questionnaire was designed by
considering the five-point Liker ranging scale from disagreeing to strongly
agree. The point “1” is selected for the strongly disagree meanwhile the “5”
represents strongly agree. This questionnaire is contained in the two major
sections, and the first section explains the demographic information of the
respondents related to the age, gender, and education level and employment
status of the respondents. The next section of the questionnaires explains the
details information’s of the variables. There are three independent variables
that are; Global Logistics, Global Market Channel and Global Operations. The
Supply Chain is the mediating variable in this study that explores the
influences of the independent variables on the dependent variable that is
Global Economy. These all variables are entirely utilized, assessing the
effectiveness of supply chain in global; economy. The proper confidentiality
statements will be designed at the top of the questionnaires. The
questionnaires were distributed to the respondents by using the various social
media sites and by making personal contacts in their companies.
3.9
Limitations of Methodology of Supply Chain and How Is the Effectiveness in the
Global Economy
The said research is only confined to the one
states of the USA that is New York. There are numerous factors that distract
and attract the respondents towards a particular survey. Due to these factors
the environments of the supply chain companies can affect as well. The said
research study is conducted only by the professionals of the various companies.
Therefore, the literature review discusses the details of the effeteness of the
supply chain in global economy in good ways. It means there are no limitations
for the research methods in this study because both methods as; qualitative and
quantitative are utilized in this study.
Chapter 4
Results and analysis
4.1
Preliminary Analysis of Supply Chain and How Is the Effectiveness in the Global Economy
The
data is evaluated by the use of SPSS. The Cronbach Alpha Value of the current
research work helped to determine the reliability of the data set. Descriptive
statistics is all about the mean, standard deviation (S.D.), correlation
analysis & the regression analysis. The main agenda behind conducting these
tests is to determine both the reliability of the data set and the association
of the study independent and the dependent variables.
There are two parts of the
questionnaire:
·
Demographics (which
are treated as the control variables for this work)
·
The dependent and
independent variables of the study.
The data being collected
from the study respondents is first assigned with the specified categories
& the digits. It is better shown in the table below for the demographic
variables
4.2
Frequency Analysis of survey
The
frequency distribution is done based on the responses of the respondents. The
frequency distribution, as well as the respective pie-charts for the
demographic variables, is given below:
Gender
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Male
|
169
|
46.9
|
56.3
|
56.3
|
Female
|
131
|
36.4
|
43.7
|
100.0
|
Total
|
300
|
83.3
|
100.0
|
|
Missing
|
System
|
60
|
16.7
|
|
|
Total
|
360
|
100.0
|
|
|
Interpretation of Supply Chain and How Is
the Effectiveness in the Global Economy:
The above table contains
the data for frequency distribution along with the percentages for the
respondents of gender. 46.9% of the respondents belong to the male category,
and the respective frequency is 169. 36.4% of the respondents belong to the
female category, and the respective frequency is 131. The majority percentage of
the respondents belong to the male category.
Interpretation of Supply Chain and How Is the Effectiveness
in the Global Economy
Different
colors are depicting the varying percentages for the respondents of gender, as
is shown in the above-said pie-chart. The major area of the pie-chart is
covered by the blue color which shows the percentage of the male respondents.
The green color in the pie-chart is depicting the percentage of female
respondents. The percentage of female respondents is less the male respondents
for the current study.
Age
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
18-24 Year
|
100
|
27.8
|
33.3
|
33.3
|
25-34 Year
|
136
|
37.8
|
45.3
|
78.7
|
35-44 Year
|
47
|
13.1
|
15.7
|
94.3
|
45 or above
|
17
|
4.7
|
5.7
|
100.0
|
Total
|
300
|
83.3
|
100.0
|
|
Missing
|
System
|
60
|
16.7
|
|
|
Total
|
360
|
100.0
|
|
|
Interpretation of Supply Chain and How Is
the Effectiveness in the Global Economy:
The
above table contains the data for frequency distribution along with the
percentages for the respondents of age. 27.8% of the respondents belong to the
age range 18-24 years, and the respective frequency is 100. 37.8% of the
respondents belong to the age range 25-34 years, and the respective frequency
is 136. The majority percentage of the respondents belong to the age range
25-34 years. 13.1% of the respondents belong to the age range 35-44 years, and
the respective frequency is 47. 4.7% of the respondents belong to the age range
45 years or above, and the respective frequency is 17. A second number is the age range of 18-24
years. The third and the fourth number are the age ranges 35-44 years and 45
years or above respectively.
Interpretation of Supply Chain and How Is the Effectiveness
in the Global Economy
Different
colors are depicting the varying percentages for the respondents of age as is
shown in the above-said pie-chart. The maximum area of the pie-chart is covered
by the green color which shows the age range of 25-34 years. The blue color in
the pie-chart is depicting the percentage for the respondents of age range
18-24 years. The percentage of female respondents is less the male respondents
for the current study. A third number is the age range of 35-44 years, which is
shown by skin color. A fourth number is the age range 45 years or above which
is shown by purple color.
Status
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Private officials
|
134
|
37.2
|
44.7
|
44.7
|
Government officials
|
134
|
37.2
|
44.7
|
89.3
|
Others
|
32
|
8.9
|
10.7
|
100.0
|
Total
|
300
|
83.3
|
100.0
|
|
Missing
|
System
|
60
|
16.7
|
|
|
Total
|
360
|
100.0
|
|
|
Interpretation of Supply Chain and How Is
the Effectiveness in the Global Economy:
The
above table contains the data for frequency distribution along with the
percentages for the respondents of employment status. 37.2% of the respondents
belong to the category private officials, and the respective frequency is 134.
37.2% of the respondents belong to the category government officials, and the
respective frequency is 134. 8.9% of the respondents belong to the category
others, and the respective frequency is 32.
The majority percentage of the respondents belongs to the category of
government officials. A second and the third number are the respondents from
the category private officials and others, respectively.
Interpretation
Different
colors are depicting the varying percentages for the respondents of employment
status, as is shown in the above-said pie-chart. The maximum area of the
pie-chart is covered by the green color, which shows the employment status as
government officials. The blue color in the pie-chart is depicting the
percentage for the respondents of the private official category. A third number
is the other category, which is shown by skin color.
4.3.1
Data Reliability Analysis
In
1951, the concept of Cronbach Alpha was introduced by Cronbach. This test
better helps to evaluate the reliability of the data set. The Cronbach Alpha
Value ranges between 0 and 1. This value tends to evaluate the items of the
questionnaire on a similar concept. The data is perceived to be highly reliable
for the Cronbach Alpha Value greater than 0.70 (Nunnallly, 1978). The following table shows the overall
value of Cronbach Alpha for the current research work.
Table 4.2: Cronbach Alpha
Name of constructs
|
No. Item
|
N
|
Cronbach Alpha
|
Global Logistics
|
4
|
300
|
0.928
|
Global Market Channel
|
3
|
300
|
0.561
|
Global Operations
|
3
|
300
|
0.641
|
Supply Chain management
|
3
|
300
|
0.693
|
Global Economy
|
2
|
300
|
0.576
|
The
high reliability of the current data set is determined by the Cronbach Alpha
value, as is depicted in the above table.
4.4
Descriptive Statistics
Mean and Standard Deviation
Descriptive Statistics
|
|
N
|
Minimum
|
Maximum
|
Mean
|
Std. Deviation
|
Global Logistics
|
300
|
1.00
|
5.00
|
4.0033
|
1.06714
|
Global Market Channel
|
300
|
2.00
|
5.00
|
4.1567
|
.77174
|
Global Operations
|
300
|
2.00
|
5.00
|
4.4256
|
.59104
|
Supply Chain management
|
300
|
1.33
|
5.00
|
4.3722
|
.65113
|
Global Economy
|
300
|
2.00
|
5.00
|
4.4083
|
.66877
|
Valid N (listwise)
|
300
|
|
|
|
|
Interpretation
The
mean values for Global Logistics, Global Market Channel, Global Operations,
Supply Chain Management and Global Economy are greater than 4. This value is if
measured on the five-point Likert scale then these values are measured towards
the agreement for the questionnaire’s statements. This value is, if measured on
the five-point Likert scale, it shows the disagreement towards this statement
of the questionnaire. 1.06714, .77174, .59104, .65113and .66877show the values
for the variation from the mean for Global Logistics, Global Market Channel,
Global Operations, Supply Chain Management and Global Economy respectively.