INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 02, FEBRUARY 2020
ISSN 2277-8616
Influence Of Entrepreneurial Factors On Mindset
Of Small Traders In Odisha
Sidhant Mohanty, Srinibash Dash
Abstract : The present business environment is the very crucial for the small traders due to fierce competition across the country. It has been proved by
study of the quarterly growth rate of the country. Hence, this slow rate may overcome if we will focus for the development of the small trading activates
instead of big one. In this research, we have proved that the entrepreneurial factors which are key attributes for the influencing the mind-set of the
entrepreneur for small trading activities. In this study, we have covered all most all the prominent district of the odisha to measuring the perception of the
small traders and their opinion for the small trading. To carry out this research, here we have used descriptive and inferential statistics for mapping the
perception of the small traders. At last, we came to know that the small traders in odisha don‘t have such expertise as required in the changing business
environment. However, we have also found important influencing factors Curiosity Creation of Value, Learning Ability, Logical Thinking, Ability to Analyze
Market, Ability to Manage Complex Tasks, Ability to Engage Stakeholders and Ability to Anticipate Technology These are the determinant factors for
influencing the mind-set of the small traders to do their business smartly. In this context, we are also suggesting to the appropriate government to create
awareness programmes what privileges are being provided for the small traders of the country for boosting the small scale industries. Also the
government odisha, should take action giving best training to the small traders for skill to them, so that they will use the technology bitterly for utilization
of the allocated recourses as per the market trends for profit maximization. In this study, we have also found that small traders are satisfy their curiosity
rather than to sit ideal. In addition to it, the respondents revealed strong agreement that they have always found themselves curious about a lot of things
and people they have been exposed to in their life. Further overall score of ‗curiosity, ‗creation of value‘ and ‗ability to anticipate technology‘ have
secured above average score while the parameters like ‗learning ability‘, ‗problem solving ability/logical thinking‘, ‗ability to analyze market‘, ‗ability to
manage complex tasks‘ and ‗ability to engage stakeholders‘ have secured excellent scores.
Kew Words: Entrepreneurial Factors, Small Traders, Technology, Ability to analysis market trends
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1. INTRODUCTION
In India, both the central and state government has been
working round the clock for improved the skill through
training and development programmes especially for X
generation who will become a future entrepreneur. In the
same line many renowned agencies or institutions in our
country, both in government, private and quasi-government
organizations play a prominent role to create awareness
among the X generation in the process of the
entrepreneurship program. They introduced new business
models having less risk, minimum capital being required for
entering new ventures. The emphasis on these models is
on policy, programmes, procedures, researches, and the
multimedia diffusion, specifically directed towards particular
target groups. In this context, we will discuss some of the
models which are currently in vague. And also
we will
highlight their impact, core competent and competency
along with desired level of result in promoting enterprises in
medium, small scale sector. From 1980 to 2000, Odisha
has been registering a very good growth and development
especially in the area of small and medium enterprises
(SMEs).
II. REVIEW OF LITERATURE
_________________________________
In the same line, due to the elimination of license raj, the
presence of FDI, regional trade blocks for trade
liberalization and economic reforms were the some of the
notable innovations which attract the entrepreneurs across
the country. As a result, the country like India, accepted the
new economic policy where there is no place for
protectionist attitude, subsidy culture and disappeared of
bureaucratic hurdle which make investments to become a
cheaper. Consequently, competition became intensified,
complex and use right management strategies to become a
market leader even if medium and small industries also.
Further, it creates challenges for SMEs to cope up to the
changes with affiliating to large organizations or industries.
Hence, for survival of SMEs, the policy of the government
need to be changed and care to be given so that they can
share the update market information for better quality
products and services as per market trends. Subsequently,
SMEs enrich inter-industry competition, build effective
management systems. From nineteen nineties, for faster
economic growth in Odisha an important initiative was
taken for entrepreneurship development. The idea was to
develop
entrepreneurship
through
Training
and
Development (T&D) with available resources. Employment
generation was the most important objective among many
other objectives of entrepreneurship development. For this,
a training model was developed by Industrial Development
Bank of India (IDBI) focusing on management, information
and motivational inputs.
Sidhant Mohanty, Ph.D. Scholar in School of Commerce and
Management, G.M.University, Sambalpur.
Dr. Srinibash Dash, HoD, School of Management, G.M.
University
Sambalpur,
Odisha,
India,
Email:
dash.srinibash@gmail.com
Faisal, Mohd., et.all.,(2017) described in their explorative
research on Strategic interventions to improve women
entrepreneurship in GCC countries ―A relationship modeling
approach‖. In this study, the researchers referred that
research especially two way process. The first process is
that it would like to do the extant review of literature to
measure and identify the obstacles for the women
entrepreneur to start their own ventures. In the next stage, it
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has the determined the real barriers for new entrepreneur.
Hence, the researchers used structural modelling technique
to establish a hierarchical structure of the organization for
smoothly carryout the day to day business. Apart from
above techniques, it has been also applied cross-reference
multiplication and the impact matrix to a classification
approach to interpret the control power and dependence
among these barriers. In this situation again, this study
found from the analysis is that some group having use
driving force to vested the power due to the low
dependency and less observation required where as the
other group did not able to use the power and authority as
and when required due to the high dependence on others.
In this review it has come out that the ventures or any start
up purely depend the decision making process and its time.
A part from that Dr. Mohammad Salek (2016) conducted a
research titled ―Entrepreneurial Intention: Triggers and
Barriers to Small Business Venturing in Khulna City‖. He
said that particularly entrepreneurship is the complicated
social behaviour which is concerning many important
factors such as endogenous and exogenous in its inception.
His study based one of the cities named Khulna in
Bangaladesh and he was focused for exploring the hidden
barriers and real techniques for success of the small
traders. Especially, he explored the mantras for setting up
the new ventures in adverse economic situation of the
country. It has been found in his research worked that
greater economic return would be possible if the
entrepreneurial mind set is as follows; such that working on
the location of the choice, product and service as the
market trends, mind set of invest own capital and desire for
more autonomy are important variables for the increased
the tendency and tenacity of a person to start small venture.
Ullah, F., Rahman, M.Z., Smith, R., Beloucif, A (2016) has
stated in their descriptive research which was analysed
using the Qualitative Research with primary and secondary
data basis. The finding of the study the results attained from
the research disclose interesting but influential factors that
guide to the successful start-up choice among ethnic
minorities. These comprise of self-efficacy, tough
determination and positive mindset having knowledge of the
market and business culture that have local touch having
access to good financial management practice.. On the
other hand, Wong, P., et.all., (2014) stated that though out
the world; Universities are increasingly shifting from their
traditional principal role as education providing agencies
and originators of scientific knowledge to a more intricate
and a most complex ―entrepreneurial‖ model that integrates
the extra role of knowledge commercialization and active
input for the growth of private enterprises in the locality.
Due to this the universities have emerged to become more
and more important component of innovation in the national
level, and need to operate to the highest extent within a
triple-helix
close
collaboration
involving
close
communication with private industries by establishing
linkage between government institutions. On the contrary,
José Fernández-Serrano & Isidoro Romero highlight in their
explorative research is that cultural values and regulatory
obstructions are not connected to entrepreneurship in the
same way in countries with conflicting ideas on different
levels of development. Alternatively, the nature of the
domination and the natural level of strength in both factors
on capitalist activity that is more enterprising in nature are
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based on a country‘s per capita GDP. In addition to this, the
force of regulatory obstacles to entrepreneurship is
influenced by cultural ideologies. Therefore, there is the
hopeless effect of the regulatory difficulty in implementation
of entrepreneurial activity that is more important in those
countries those who has a societal culture characterized by
self-sufficiency followed by social equality and harmonious
values. Several studies have been done in Indian
perceptive and also abroad in the field of entrepreneur and
it success mantras. But very few studies have been done to
measure the mind set of entrepreneurs in small traders. In
the same line, nobody in odisha has done in this filed but in
this section, I would like to explore all the related studies
which are very close to my study which will inspiring me to
get the right results and measure the perception of the
small traders in Odisha. Hence in this context, J.S.Saine
and B.S. Rathore explained briefly the successes story of
entrepreneur in their book title Entrepreneurship: Theory
and practice. According to them, success of entrepreneur is
purely depends upon the attitude and willingness of the
entrepreneur‘s and his/her responsibilities with market
research. Further authors explained that though the risk is
the important variables of the business but it may reduce by
the risk assuming capacity of an entrepreneur. In addition to
the above, learning from the past experiences one of the
best channel for reducing the risk and also get lesson from
reading the success or un success of entrepreneurs
biography. Mahima Rai (2010) has stated in her article title
―Horning Entrepreneurial Skill ‖ illustrate the characteristics
to become a success entrepreneur such that self
introspection with
self confidence, energy with extra
ordinary competent and competency, strong capacity to
access of the future risk, Hello effect with good leadership
qualities and flexibility with adaptabilities. Instead of that
entrepreneur has the ability to utilise the allocated
recourses in such a way that it will help wealth
maximisation without incurring any loss. However, she has
also suggested that if the leader of the organisation has the
ability to identify the market opportunities and drive the
ventures in this direction for the creation of the value and
brand to become a market leader Subsequently, Sujath
Mukharjee (2010) has defined in her article titled ―Profiling
the Urban Women Micro- entrepreneurs in India‖ published
it in the journal of entrepreneurship development suggested
few factors for the success of the entrepreneur such that 1.
A person who forecasted the future risk associated with
unpredictability situations, 2. Taking higher risk qualities
with accumulate allocated resources such that capital,
labour and machine, 3. A pioneer of new idea and
implement it as and when required, 4. A good coordinator to
coordinate all the economic resources for value creation of
the organisation.
On the contrary, Bholanath Dutta
(2009) stated in his book titled Management of
Entrepreneur for the factors influencing the mindset of the
entrepreneur towards entrepreneurship. He suggested that
Entrepreneur mindset or perception has been influencing by
the education, infrastructure, finance, and updated
technology with the government initiated for the said
purpose. Also the author elucidated in the different angle for
the successes of the entrepreneurship are depend skill,
innovative mind of the entrepreneur, decision making
capacity of the person and overall self confidence with risk
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bearing capacity to anticipate the changing Business
environment.
III. RESEARCH OBJECTIVES
This proposed research thesis is directed to cater to the
objectives mentioned below, so that it is possible to suggest
some policy measures that the policymakers can undertake
to raise the entrepreneurial activities in the economy. The
research objectives are;
1. To test whether the entrepreneurs are having the ability
to lead a team of people to make their venture a success.
2. To find out whether the entrepreneurs are having the
ability to evaluate the results of the business actions every
time it is performed.
3. This research is an attempt to analyze whether the
Odisha based entrepreneurs are able to determine the
vision, mission and objectives of their company in running
its business is unique for everyone.
Hence, the perception & suggestions will also be
considered to highlight the possible solutions relating to
their matters. This proposed study will throw light on the
various challenges and prospects for inclusive and
sustainable rural development in India.
3.1. Noteworthy contributions in the field of the proposed
study
observations are two essential components. So, ignoring
any one of these two may make any scientific research
invalid. This study is an attempt to test the Odisha based
entrepreneurs‘ awareness and understanding of their
entrepreneurial mindset. And it has to be done
scientifically. Hence, the present study will focus on both
theories
and
observations.
The
theories
on
entrepreneurship and testing entrepreneurial mindset and
growth have been extensively reviewed in the previous
chapter. And as per the review of extant literature, there are
certain traits that an entrepreneur should possess as far as
his/her mindset is concerned. Now, this fact has to be
verified empirically through observations. Scientific
knowledge has been always the base of scientific research.
Here, scientific knowledge described to do scientific
research include: all the methods for making valid
observations, the procedures to interpret results and then
the ways to generalize these results through applications of
a standard set of techniques. If scientific research study will
ensure reliability, high precision level and parsimony then it
can have applied value otherwise not. The present study is
in such a topic that it can be treated a part of social
scientific research and can be undertaken by
implementation of different approaches as well as various
tools and techniques in relation to types of data i.e.
qualitative or quantitative, case research or field survey,
experimental method and statistical analysis etc.
This research work has the following social relevance;
1. It will help the entrepreneurs to become goal-oriented in
their business so that the failure of business may go
down from the present level.
2. It will help the women entrepreneurs to enter into the
male-dominated areas.
3. This research work will solve the unemployment issue
that exists in Odisha.
4. The new entrepreneurs will enter into the business with
the end in mind so that the success ratio of their
ventures will improve.
5. This research work will help the entrepreneurs to get the
ways and means to improve their leadership skills.
6. This research work will help the entrepreneurs to locate
their areas of core competency.
7. This research will prove to be a stepping stone for th
IV. RESEARCH METHODOLOGY
Theories and observations are the two pillars of science.
This is the reason because of which every scientific
research operates in two basic levels i.e. theoretical level
and empirical level.
At
theoretical
level,
only
development of abstract concepts on the natural or social
phenomenon is done along with establishment of probable
relationship between these concepts. But, for testifying
these concepts empirical level has to be achieved in which
the theoretical concepts as well as their relationships
should ideally get reflected. Hence, the objective of
research studies at empirical level is ultimately to build up
better theories only. By this the theories become refined
more and more over a period of time because of empirical
research studies. It results in science gaining maturity. It is
the nature of scientific research to go back continuously
and find relationship between theories with observations.
The reason of this is that in scientific research, theory and
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Fig. 3.1 Nature of the Study
(Source: Researcher‘s Distillation
In this context, there can be exploratory, explanatory or
action and descriptive research which is possible in the
case of the present study. What exploratory research does
is that it tries or scope out the magnitude of feasibility in
order to go for a more extensive phase of research on a
particular phenomenon. But, a careful phase of
observations and documentation of the details related to the
phenomenon is done by doing a descriptive research only.
4.1. Research Hypotheses
H1: The Odisha based entrepreneurs do not have the
awareness of their entrepreneurial mindset.
H2: The entrepreneurs do not have the mindset towards
goal fixation for their enterprise operating in Odisha.
H3: The entrepreneurs do not involve in obtaining the core
competency for their ventures.
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H4: The entrepreneurs do not have the ability to lead a team
of people to make their venture a success.
H5: The entrepreneurs do not have the ability to evaluate
the results of the business actions every time it is
performed.
H6: The Odisha based entrepreneurs are not able to
determine the vision, mission, and objectives of their
company.
4.2. Research Design
As per the above figure, there are basically two phases of
research supposed to be undertaken under the present
study i.e. descriptive phase and empirical phase.
In the descriptive study in the present research project, data
from secondary sources including newspapers, magazines,
journals, central and state Government reports, reports
from national agencies like EDI and international agencies
like IMF, doctoral theses from university libraries etc. have
been considered. In the empirical study in the present
research project, data from primary sources i.e. data
generated through structured quantitative questionnaires
administered in the state of Odisha has been taken into
account. The first phase of research i.e. descriptive study
have been undertaken to discover the dimensions, insights,
parameters of the study. Additionally, the significance of
research hypotheses so formed has been checked in this
phase. And the second phase of research has been
undertaken to verify the results and testify the research
hypotheses by application of statistical treatments.
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Odisha is one of the poorest states in India and
entrepreneurship development is extremely necessary in a
place like it for economic uplift of the people. As the
researcher is residing in the state of Odisha and the
university in which he is doing his doctoral research work is
also originally in the state of Odisha, he has direct access
to the field and comparatively more familiar to the culture of
the state. That is why the state of Odisha has been
purposively chosen for the study.
TABLE –3.1 control characteristics
Proportion
S.No
District
Population
(%)
1
Anugul
12,73,821
3.03
2
Balangir
16,48,997
3.93
3
Baleshwar
23,20,529
5.53
4
Bargarh
14,81,255
3.53
5
Baudh
4,41,162
1.05
6
Bhadrak
15,06,337
3.59
7
Cuttack
26,24,470
6.25
8
Debagarh
3,12,520
0.74
9
Dhenkanal
11,92,811
2.84
10
Gajapati
5,77,817
1.38
11
Ganjam
35,29,031
8.41
12
Jagatsinghapur
11,36,971
2.71
13
Jajapur
18,27,192
4.35
14
Jharsuguda
5,79,505
1.38
15
Kalahandi
15,76,869
3.76
16
Kandhamal
7,33,110
1.75
17
Kendrapara
14,40,361
3.43
18
Kendujhar
18,01,733
4.29
19
Khordha
22,51,673
5.36
20
Koraput
13,79,647
3.29
21
Malkangiri
6,13,192
1.46
22
Mayurbhanj
25,19,738
6.00
23
Nabarangapur
12,20,946
2.91
24
Nayagarh
9,62,789
2.29
25
Nuapada
6,10,382
1.45
26
Puri
16,98,730
4.05
27
Rayagada
9,67,911
2.31
28
Sambalpur
10,41,099
2.48
29
Subarnapur
6,10,183
1.45
30
Sundargarh
20,93,437
4.99
31
Odisha (Total=)
4,19,74,218
100.00
(Source: Researcher’s Distillation)
Sample
Size
5
7
9
6
2
6
11
1
5
2
14
5
7
2
6
3
6
7
9
6
2
10
5
4
2
7
4
4
2
8
170.00
The variables which are used to divide the population into
categories are referred to as control characteristics. The
control characteristic taken into consideration for the
present study is keeping in mind the homogeneity,
heterogeneity, relatedness and cost. It is the geography in
the present case.
4.4 Selection and Measurement of the Variables
The variables taken in the present study for measurement
of entrepreneurial mindset are: curiosity, creation of value,
leaning ability, problem solving ability/logical thinking, ability
to analyze market, ability to manage complex tasks, ability
to engage stakeholders and ability to anticipate technology.
4.5 Methods of Data Collection
The present study is dependent on secondary as well as
primary data for formation of hypotheses, application of
statistical tools and drawing the results. The primary data
has been collected through face to face interviews using a
quantitative questionnaire from small traders across the
4.3The Sample and Sampling
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state of Odisha. And for secondary data reliable sources
like official website of RBI, EDI, MSME have been used
4.6 Techniques of Data Analysis
The computation of certain measures along with searching
for patterns of relationship that exist among data groups is
called analysis. For statistical analysis of the results,
various descriptive statistics like measures of central
tendency, measures of dispersion and also factor analysis
was employed to further crystallize the results. Calculations
of descriptive statistics and testing of hypothesis have been
done using MS Excel while for the computation of factor
analysis SPSS has been used.
4.7 Data Cleaning
The scrutiny or careful checking of the data collected from
various sources is what is called the ‗cleaning of data‘. It is
highly necessary that the data should be properly cleaned
by the researcher before they are used; else, there might
be remaining certain errors and irregularities with the data,
which in turn may lead to fallacious conclusions. Therefore
in the present study, a proper cleaning exercise is
conducted in the beginning of the analysis. It included
consistency checks and treatment of missing responses.
Data that are out of range, logically inconsistent, or have
extreme values which are inadmissible and must be
corrected are identified under consistency check. For
identifying out-of-range values and the correct responses to
be determined by going back to the edited and coded
questionnaires MS Excel has been used. Values of a
variable that are unknown, either because respondents
provided ambiguous answers or their answers were not
properly recorded are called missing responses. Here there
are two options that can be used for the treatment of the
missing values. First, a neutral value, typically the mean
response to the variable, is substituted for the missing
responses. But, since ours is a survey with rating scales
where we cannot allow decimal figures, by substituting the
immediate higher rounding up figures there is a chance that
the mean of the variable and other statistics, such as
correlations, may get affected much. In such cases,
substitution of an imputed response is done. Here the
respondent‘s patterns of responses to other questions are
used to impute or calculate a suitable response to the
missing questions.
4.8 Descriptive Analysis
Range is defined as the difference between two
extreme values of a series.
Standard deviation may be defined as the square
root of the arithmetic average of the squares of
deviations taken from the arithmetic average of a
series.
The variance is the mean squared deviation from
the mean. The variance can never be negative.
When the data points are clustered around the
mean, the variance is very small. When the data is
scattered, the variance is large. If all the data
values are multiplied by a constant, the variance is
multiplied by the square of the constant. The
standard deviation facilitates the computation of
variance of a series. This measure of variance is
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very much used in making a comparative study of
variability of different series.
Skewness is the tendency of the deviations from
the mean to be larger in one direction than in the
other. It can be thought as the tendency for one tail
of the distribution to be heavier than the other.
Literal meaning of skewness is ‗lack of symmetry‘.
Distributions can either be symmetric or skewed. In
a symmetric distribution, the values on either side
of the center of distribution are the same, and the
mean, mode and median are equal. The positive
and corresponding negative deviations from the
mean are also equal. In a skewed distribution, the
positive and negative deviations from the mean are
unequal.
Kurtosis is a measure of the relative peakedness or
flatness of the curve defined by the frequency
distribution. The kurtosis of a normal distribution is
zero. If the kurtosis is positive, then the distribution
is more peaked than a normal distribution. A
negative value means that the distribution is flatter
than a normal distribution. It is to be noted that the
word kurtosis is a Greek word which means
bulginess. Similarly, in Greek language, a normal
curve is Mesokurtic, a more flatted curve is called
Platykurtic, and a more peaked curve is called a
Leptokurtic.
4.9. Inferential Analysis
For the purpose of inferential analysis, testing of hypothesis
has been considered in the present study. The term,
‗hypothesis‘ literally means an assumption, or a supposition
about the ‗state of affairs‘ of a certain thing. In the
terminology of statistics, it means an estimation, or a set of
inferences that is drawn about certain values of population.
From the knowledge of the sampling distribution of
statistics, it is possible to find the probability that a sample
statistics would differ from a given hypothetical value of the
parameter or from another sample value, by more than a
certain amount and hence to answer the question of
significance. Accordingly, a procedure to assess the
significance of a statistic or difference between two
independent statistics is known as test of significance.
We say that:
1.
The difference between a statistic and the
corresponding population parameter, or
2. The difference between two independent statistics, is
not significant if it can be attributed to the fluctuations of
sampling, otherwise it is said to be significant
4.8 Data consistency analysis through Reliability
Techniques
In this study, I have used cronbech‘s alpha to measure the
data reliability of the study and also used data internal
consistency of the data. In the theoretical aspects, it has
been said that cronbech alpha varies from one to zero. As
per the professional rule, higher alpha value is more
desired but by convention, a lenient cut-off is 60
percentages is acceptable. I alpha value is less than 60
percentages; it is not accepted for further use.
4.9. Strategy of Research
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The main strategy of the research work is that to
analysis in such a way that I will get the right perceptions of
the beneficiaries of the government sponsor schems and its
performance track. Hence, to fulfil the real objectives, I
have implemented right strategies such as to measure the
beneficiaries‘ perception and their observations. Hence, II
have used standard questionnaire for getting opinion from
respondents and also conducted interview few respondents
in the different block in the sundergarh. Apart from the
above explains the below table explained the real process I
have taken to do this research and reach the right
conclusions
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In figure 4.2, it has been shown that 50% respondents are
in the age group of 19 – 30 years, 35% respondents are in
the age group of 31 – 60 years and the rest 15%
respondents are in the age group of more than 60 years of
age out of a total sample of 414.
Figure 4.3 reveals that 52% respondents are
undergraduates, 48% respondents are graduates and
approximately 0% respondents are post graduate out of a
total sample of 414.
4.10 Demographic Profile
It is obvious that the first decision required to be taken while
designing the sample is the sample size. The sample size
refers to the total number of respondents to be included for
face to face interview through structured questionnaire in
the present case. The respondents here are the small
traders who have given employment to people in the state
of Odisha. In a conclusive study like the present one, a
small sample size is not at all acceptable. Then, since the
number of items in the structured questionnaire is equal to
34
In figure 6.3, it has been shown that 7% respondents are
female while 93% respondents are male out of a total
sample of 414. Then, figure 6.4 reveals that 64%
respondents are married while the rest 36% respondents
are unmarried/ divorced out of a total sample of 414.
Finally, in figure 4.5 the district wise number of respondents
included in the sample has been shown. The number of
respondents to be included in the sample was 340 or more
and in the main phase of primary data collection by use of
structured questionnaire there are 414 number of face to
face interviews achieved. As quota sampling has been
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selected for the present study, the control characteristic
chosen is ‗geography‘ and the total sample size has been
accordingly divided between the districts. Quota sampling is
a stratified-cum-purposive or judgment sampling and thus
enjoys the benefits of both.
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4.11 Reliability Analysis
The test of reliability is generally done through a popular
statistical tool ‗Cronbach‘s Alpha‘ for measuring the degree
of consistency among items under consideration. When
reliability is measured by Cronbach‘s Alpha, by convention
a lenient cut off of 0.6 is acceptable in empirical research.
And, in the present study when the data got tested for
reliability, it yielded a Cronbach‘s Alpha score 0.795893789
which is much better than the reliability score obtained in
the pilot study.
V. RESULTS AND DISCUSSION
It aims at making the best use of stratification. Here, the
first stage consists of developing control categories, or
quotas, of population elements. The quotas are assigned so
that the proportion of the sample elements possessing the
control characteristics is the same as the proportion of
population elements with these characteristics. On the
basis of the nature of the present study, ‗geography‘ is the
relevant control characteristics which was taken in to
consideration and the elements were selected to fit this
category. The variables which are used to divide the
population in-to categories are referred to as control
characteristics. The control characteristic taken in-to
consideration for the present study is keeping in mind the
homogeneity, heterogeneity, relatedness and cost. It is the
geography in the present case. In the figure it can be seen
that in each of the districts different number of respondents
have been touched and it is based on the proportion of
population that the districts are having respectively out of
the total population in the state of Odisha.
Out of the 34 items taken in the questionnaire and
implemented on 414 respondents for generation of primary
data, none have reported skewness of more than 3.0 or
kurtosis of more than 10.0. In the prescribed scale from ‗1‘
to ‗5‘ denoting ‗Strongly Disagree‘ to ‗Strongly Agree‘, the
means of perception varied in between a range of 2.70 to
4.64 that implies that the perception of respondents is
somewhat less than their expectations in a few attributes. It
means that the attributes which they want in themselves on
a certain level is not getting achieved and they are agreed
to it also. Then, since the standard deviation is ranging
between 0.62 to 1.31, it implies that the scores are tightly
packed around their mean values. The skewness is ranging
between -2.55 to 0.56 while the kurtosis is ranging between
-1.12 to 7.73. It means there are a few items which are
generating negatively skewed distributions and also there
are another group of items that are generating positively
skewed distributions. In other words, the data so generated
have unveiled mixed results. However, a more focused
scrutiny of the variables is required in order to come to any
conclusion.
The thirty four items questionnaire
administered in this survey can be divided on the basis of
eight constructs: curiosity, creation of value, learning ability,
problem solving ability/logical thinking, ability to analyze
market, ability to manage complex tasks, ability to engage
stakeholders and ability to anticipate technology. Each of
the constructs include different amounts of variables. The
first construct of the study is ‗curiosity‘ which carries five
related variables to the given construct and it is meant for
measuring the respondents‘ level of curiosity. A high degree
of curiosity in respondents indicates strong desires to learn
or know something. The descriptive analyses on variables
under the construct ‗curiosity‘ have been shown in Figure
6.8. As per the figure, the mean scores of different variables
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under the construct ‗curiosity‘ are ranging between 2.72
(minimum score) to 4.64 (maximum score). There is strong
agreement of the respondents mainly towards one variable
represented by item – 3. The respondents strongly believe
that in a new situation, they always try to gather as much
information they can. It means that in order to cope up with
a new situation the respondents consider adequacy of
information related to the situation is the first step. There is
average score recorded for item – 2, item – 4 and item – 5.
The respondents strongly say that complicated pieces of
machine or system always make them curious to know how
it works. The respondents also tell it with confidence that
they are persons who are keen to take actions to satisfy my
curiosity rather than to sit ideal. In addition to it, the
respondents revealed strong agreement that they have
always found themselves curious about a lot of things and
people they have been exposed to in their life. But, very few
of the respondents actually believe that they have an inborn
and inseparable sense of curiosity in life. The overall score
of this construct is 3.56 which is above average.
The second construct of the study is ‗creation of value‘
which carries four related variables to the given construct
and it is meant for measuring the perception of respondents
on their ability to create value for the customers,
stakeholders and themselves also.
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also tell it with confidence that being the owner of the
organization, value creation is their concern only.
Additionally they have fare degree of belief that they have
the capability to define any engineering problem in terms of
value creation. There is below average score recorded by
item – 8. The respondents do not completely agree that
business risk assessment is their duty only. The overall
score of this construct is 3.34 which is above average.
As per the figure, the mean scores of different variables
under the construct ‗learning ability‘ are ranging between
3.91 (minimum score) to 4.60 (maximum score). There is
strong agreement of the respondents mainly towards three
variables represented by item – 10, item – 11 and item –
13. The respondents strongly say that they learn from
failures and they consider it as a capability. Additionally, the
respondents also tell it with confidence that they interpret
every setback in business as an opportunity for growth.
Additionally, they are highly agreed that training improves
creative thinking. Though the respondents are not that
highly agreed, but still they believe that coping with failures
improve efficiency represented by item – 11. The overall
score of this construct is 4.24 which should be considered
excellent. The next construct of the study is ‗problem
solving ability/logical thinking‘ which carries nine related
variables to the given construct which is the maximum in
the whole instrument and it is meant for measuring the
perception of respondents on their ability to use reasoning
consistently to derive conclusions in various situations. The
descriptive analysis on variables under the construct
‗problem solving ability/logical thinking‘ has been shown in
Figure 6.11. As per the figure, the mean scores of different
variables under the construct ‗brand awareness/association‘
are ranging between 3.18 (minimum score) to 4.43
(maximum score). There is strong agreement of the
respondents mainly towards five variables represented by
item – 14, item – 17, item -18, item – 21 and item – 22.
The descriptive analysis on variables under the construct
‗creation of value‘ has been shown in figure 6.9. As per the
figure, the mean scores of different variables under the
construct ‗creation of value‘ are ranging between 2.70
(minimum score) to 4.29 (maximum score). There is strong
agreement of the respondents mainly towards one variable
represented by item –9. The respondents strongly say that
every problem is a potential opportunity for them and by
solving problems values can be created. The respondents
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The respondents strongly believe that they act in difficult
situations creatively and effectively, for gathering and
analyzing information, they apply logical thinking and for
designing and solving problems they apply logical thinking.
Additionally, they strongly agree that they have a focused
vision to guide their future plans and clear goals to reach
this vision.
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The construct of the study is ‗ability to manage complex
tasks‘ which carries three related variables to the given
construct and it is meant for measuring the perception of
respondents on their ability to successfully handle those
tasks which generally involve more efforts for
accomplishment as compared to the routine tasks. The
descriptive analysis on variables under the construct ‗ability
to manage complex task‘ has been shown in Figure 6.13.
As per the figure, the mean scores of different variables
under the construct ‗ability to manage complex task‘ are
ranging between 3.92 (minimum score) to 4.10 (maximum
score). There is strong agreement of the respondents
mainly towards two variables represented by item – 27 and
item – 28. The respondents strongly believe that they know
have the ability to instigate the system to solve complex
problems and also possess enough confidence to lead a
team that works in complex projects. The overall score of
this construct is 4.02 which should be considered excellent.
They know the difference between spending time and
investing time. They invest their time to reach their vision.
Then, though not strongly but the respondents were found
to be agreeing that in order to handle situations, they use
the means at their disposal. They are also found to be
agreeing that they have the ability to tell whether a new
product is technically feasible to develop or not.
Additionally, they say that claims always are substantiated
by them with data and facts and for their professional
development, they have a clear plan; they understand and
respect it. The overall score of this construct is 4.00 which
should be considered excellent.
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The last construct of the study is ‗ability to anticipate
technology‘ which carries three related variables to the
given construct and it is meant for measuring the
perception of respondents on their ability to anticipate the
changes in the application of scientific knowledge for
practical proposes in the production unit of the physical
good or services. The descriptive analysis on variables
under the construct ‗ability to anticipate technology‘ has
been shown in Figure 6.15. As per the figure, the mean
scores of different variables under the construct ‗ability to
anticipate technology‘ are ranging between 3.92 (minimum
score) to 3.98 (maximum score). The overall score of this
construct is 3.94 which should be considered above
average. So there are in an aggregate eight sections in the
present study in terms of parameters for exploring the
entrepreneurial mindset of traders in Odisha with different
numbers of items in each of the parameters. All of the
parameters scored more than the natural average of 03,
but there are three parameters which are below 04 hence
they are treated as scoring above average while the rest of
the parameters which scored more than 04 are treated as
scoring excellent.
Table 5.1 Inferential Analysis (n=414)
Construct
Curiosity
Creation
of Value
Learning
Ability
Va
ria
bl
es
Logical
Thinking
Ability to
Analyze
Market
Ability to
Manage
Complex
Tasks
Ability to
Engage
Stakehold
er
Ability to
Anticipate
Technolog
y
Age
Gender
F
Sig.
F
Sig.
1
8.30
0.00
0.06
0.81
2
5.49
0.00
3.66
0.06
3
14.8
8
0.00
4.55
0.03
4
1.92
0.15
11.70
0.00
5
7.72
0.00
1.15
0.28
6
15.7
7
0.00
0.14
0.70
7
4.30
0.01
0.01
0.94
8
24.1
3
0.00
0.23
0.63
9
2.20
0.11
1.92
0.17
10
3.41
0.03
0.01
0.92
11
2.52
0.08
0.00
0.98
12
0.81
0.45
0.07
0.79
13
16.1
8
0.00
3.55
0.06
6.03
0.00
6.42
0.01
15
7.29
0.00
0.17
0.68
16
2.70
0.07
3.39
0.07
17
1.08
0.34
1.87
0.17
18
7.07
0.00
8.84
0.00
19
4.72
0.01
1.38
0.24
20
7.70
0.00
0.17
0.68
21
3.99
0.02
1.32
0.25
22
0.42
0.66
0.13
0.71
23
2.79
0.06
0.54
0.46
24
0.76
0.47
0.05
0.82
25
13.9
0
0.00
4.34
0.04
26
1.02
0.36
1.55
0.21
27
16.2
7
0.00
0.39
0.53
28
8.36
0.00
1.16
0.28
29
5.59
0.00
1.39
0.24
30
10.6
5
0.00
6.44
0.01
31
8.21
0.00
12.26
0.00
32
0.42
0.66
6.45
0.01
33
0.87
0.42
0.15
0.70
34
0.87
0.42
0.15
0.70
14
The overall score of the instrument is above average
because it is coming to 3.90. Out of the eight parameters
the lowest score has been secured as 3.34 by the
parameter ‗creation of value‘ while the highest score has
been secured as 4.24 by the parameter ‗learning ability‘.
The parameters like ‗curiosity, ‗creation of value‘ and
‗ability to anticipate technology‘ have secured above
average score while the parameters like ‗learning ability‘,
‗problem solving ability/logical thinking‘, ‗ability to analyze
market‘, ‗ability to manage complex tasks‘ and ‗ability to
engage stakeholders‘ have secured excellent scores. This
is getting shown in the Figure 6.16 where the overall score
has been compared with the parameter wise scores.
Through the above table, it has been proved that all most
all the proposed hypothesis are rejected and prove that the
Odisha based entrepreneurs do not have the awareness of
their entrepreneurial mindset and also they don‘t know how
to goal fixation for their enterprise operating in Odisha.
Apart
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Source: Primary Data, Compiled from SPSS Output
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Marital
Status
Educationa
l Qual.
F
Sig.
F
Sig.
0.2
2
6.9
2
0.1
2
0.0
9
3.8
6
11.
65
0.8
5
9.5
9
2.4
8
10.
8
1.1
3
5.6
4
5.8
5
0.0
5
6.8
8
0.0
0
6.0
7
0.2
9
1.5
4
7.0
9
0.9
2
5.6
4
0.6
7
0.6
5
3.1
2
0.0
7
10.
6
0.0
3
0.5
1
3.6
3
0.1
0
3.3
2
2.7
1
2.7
1
0.6
4
0.0
1
0.7
3
0.7
6
0.0
5
0.0
0
0.3
6
0.0
0
0.1
2
0.0
0
0.2
9
0.0
2
0.0
2
0.8
3
0.0
1
0.9
7
0.0
1
0.5
9
0.2
1
0.0
1
0.3
4
0.0
2
0.4
1
0.4
2
0.0
8
0.7
9
0.0
0
0.8
7
0.4
8
0.0
6
0.7
5
0.0
7
0.1
0
0.1
0
3.9
4
2.3
9
11.
3
0.1
9
4.1
8
2.8
7
1.1
3
0.0
5
0.3
4
0.1
0
2.8
1
1.0
6
6.6
1
0.6
8
0.1
9
7.9
7
1.9
9
1.9
2
0.0
1
1.2
9
3.7
8
0.6
2
1.5
1
0.0
1
4.1
3
1.0
5
3.4
0
6.5
1
4.0
5
4.1
6
1.3
4
0.8
1
2.4
7
2.4
7
0.0
5
0.1
2
0.0
0
0.6
6
0.0
4
0.0
9
0.2
9
0.8
2
0.5
6
0.7
5
0.0
9
0.3
0
0.0
1
0.4
1
0.6
6
0.0
0
0.1
6
0.1
7
0.9
4
0.2
6
0.0
5
0.4
3
0.2
2
0.9
3
0.0
4
0.3
1
0.0
7
0.0
1
0.0
4
0.0
4
0.2
5
0.3
7
0.1
2
0.1
2
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from that Influence of Entrepreneurial Factors for Mind Set
of Small Traders in Odisha is in marginal level where as
very recently due to the apathy of the technology help to
increase their perception for the mind set of people for new
ventures. In the same line, the entrepreneurial factors do
not involve in obtaining the core competency for their
ventures. However, it has been also found that ability
increased as per the perception to lead a team of people to
make their venture a success. In the same line, the small
traders in odisha don‘t have the ability to evaluate the
results of the business actions every time it is performed
and it is create to define the vision, mission, and objectives
of their company.
[8] Levin, R.I. & Rubin D.S. (1991). ―Statistics for
Management‖, (pp.92, 567 – 588). New Delhi:PHI.
[9] Mahima Rai.,(2010) ―Horning Entrepreneurial
Skills: Role of B Schools‖, MBA Review - Special
edition on Entrepreneurial Skills, Hyderabad.
[10] Majhi, Priti., & Khatua, Praful., (2011), ―Research
Methodology
for
Management‖Concepts,
Technologies,and SPSS, HPH, pp. (100-103).
[11] Malhotra, N.K. (2005). ―Marketing Research - An
Applied Or ientation‖, 5th Edition, Pearson
Education Inc., pp. (343-347).
[12] Nunnally, J C (1978). ―Psychometric Theory‖, New
York : McGraw-Hill.
[13] Othman, N., Mohammad, R., & Rahman, R. S. A.
R. A. (2017). Entrepreneurial competency and
tendencies
among
pre-university
students.
International Journal of Economic Research,
14(15), PP. 51-67.
[14] Rathore,
B.S.
and
Saini,
J.S.,
(2001).
―Entrepreneurship‖, Wheeler Publishing, New
Delhi.
[15] Salek,M., (2016). Entrepreneurial Intention:
Triggers and Barriers to Small Business Venturing
in Khulna CityPES Business Review Volume 11,
Issue 1, June 2016.
[16] Sujatha Mukherjee., (2010). ―Profiling the Urban
Women Micro - entrepreneurs in India‖, The IUP
Journal of Entrepreneurship Development, Volume
II, No.3.
[17] Wong, P.K., Ho, Y.-P., Singh, A. (2014) Toward a
―global knowledge enterprise‖: The entrepreneurial
university model of the National University of
Singapore (2014) Building Technology Transfer
Within Research Universities: An Entrepreneurial
Approach, pp.281-306.
VI. CONCLUSIONS
In the proposed study, it has been found that all most all the
research objective perception are just above the average
rate and would like to lots of scope for the further
development of the small traders mind set and more search
and focused supervision required for the overall
development of the real factors which are influencing the
entrepreneurial mindset. Also, the study found that the
important factors which will influencing the Entrepreneurial
Factors for Mind Set of Small Traders in Odisha such that
Curiosity Creation of Value, Learning Ability, Logical
Thinking, Ability to Analyze , Market Ability to Manage
Complex Tasks, Ability to Engage Stakeholders and Ability
to Anticipate Technology.
ACKNOWLEDGMENT
This research is the full of the thesis to be submitted as a
PhD Scholar in the School of Commerce and Management,
G.M. University, Smablpur, Odisha.
REFERENCES:
[1] Bholanath,
Dutta.,(2009).
―Entrepreneurship
Management: Text and Cases‖, Excel Books, New
Delhi, 2009.
[2] Cronbach, L.J. (1951). ―Coefficient Alpha and
Internal Structure of Tests, Psychometrika‖, 16(3),
pp. (297-333).
[3] Faisal,
Mohd.,
Nishat,
Jabeen.,
Fauzia,
Katsioloudes
&
Marios.,(2017).
Strategic
interventions to improve women entrepreneurship
in GCC countries: A relationship modeling
approach, Journal of Entrepreneurship in Emerging
Economies, Vol. 9, Iss. 2, (2017): 161-180.
[4] Fernández-Serrano, J. & Romero, I. (2014). About
the interactive influence of culture and regulatory
barriers on entrepreneurial activity, International
Entrepreneurship and Management Journal,
10,781–802, DOI 10.1007/s11365-014-0296-5,PP.
24-35.
[5] Gujarati,
Damodar
N.,
(1995).
―Basic
Econometrics‖, 3rdEdition, McGraw-Hill, Inc.,
Singapore, pp. (122-131).
[6] Gupta, S.C. (2011). ―Fundamentals of Statistics‖,
Himalaya Publishing House, Mumbai, pp. (15.29,
16.26-16.33).
[7] Kothari, C.R., (2005). ―Research Methodology‖,
New Age International, New Delhi, pp. (184-225).
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AUTHORS PROFILE
First Author: Mr. Sidhant Mohanty, Ph.D.
Scholar in School of Commerce and
Management, G.M.University, Amruta Vihar,
Sambalpur, Odisha, & has specialized in
Commerce. Mr. Mohanty has completed his
MPhil in Commerce from G.M. University and
also obtained MCom (Topper) degree from Sambalpur
University, Odisha. Mr. Mohanty also continues his Ph.D.
in Commerce in G.M. University. His area of research
interests are Entrepreneurship, Leadership Development
and Political Marketing. He has got State Level Rajib
Gandhi Prativa Puraskar in 2014. He has attended and
presented numbers of research papers both at national and
International seminar across the country.
Second: Dr. Srinibash Dash is an Assistant Professor &
HoD, the School of Management in the GanghadharMeher
University, AmrutaVihar, Sambalpur, Odisha, & has
specialized in Human Resource & General Management.
Dr. Dash has completed his Ph.D. in Management from
Sambalpur University and got MBA and LLB from Fakir
Mohan University, Odisha.
Dr. Dash also continues his Post Doc in
Management in Sambalpur University. His area of
research interests are Entrepreneurship, HRD
climate, Human Development Indicators, Leadership
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Development, Employer Branding and job satisfaction at
work place. He has attended and presented 19 numbers of
research papers at national and 03 numbers research
papers at International seminar across the country.
In addition to this, his 09 number of research papers have
been extensively published in SCOPUS Indexed journal
and 03 papers accepted to be published and also 22
numbers of research papers published both in national and
international peer- reviewed journals. Also, Dr. Dash has
written three books in the field of Management and also
recognized Ph.D. guide in the school of Commerce and
Management. Here second author is the corresponding
author of this article
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