A study of Motivational Aspects that influences Women Entrepreneurship with special reference to Rajasthan
Ms. Rekha
Research Scholar, Banasthali Vidyapith
Dr.PeeyushBangur
Associate Professor, Banasthali Vidyapith
Dr. Richa Chauhan
Assistant Professor, Banasthali Vidyapith
Abstract:
Women entrepreneurs are making large strides, and many people are recognizing this. As the importance of women entrepreneurs in economic development becomes more prominent, many steps are being taken to promote them. Women need to be educated with entrepreneurial skills and traits in order to meet evolving trends.The paper focuses on analyzing the motivation factors that women in Rajasthan state have when they make the decision to start their own business. It attempts to find out what sort of motivations the women in the study have and what barriers they need to overcome. To do this, we conducted a survey among 385 respondents located in Rajasthan and discovered that most of them were intrigued by starting their own business venture.The government should take this into account when working to promote equality and empowerment among women.
Keywords:women, entrepreneurship, motivation factors, economic development
Introduction:
Entrepreneurship is about recognizing opportunities, managing risk and mobilizing resources in order to bring your idea to life. Entrepreneurship is the process of creating a business from scratch. As an entrepreneur, you take on the task of recognizing potential business opportunities. You manage all the risk and implications that go with those opportunities by using your management skills and human, financial and material resources. (Banu.2020).
Acharya (2010) one of the most pressing concerns in a liberal democratic culture is promoting women's empowerment. Ideally, this means elevating women to the same social and economic status as men. In order for that to happen, we need to widen the participation of women in their society and release them from the patriarchal oversight that has historically limited their opportunities. In the past, women typically did three things: looked after children, cooked in the kitchen, and knitted. Nowadays they have picked up new hobbies- like making pickles, baking powder biscuits, and engineering.India has been historically male dominated, but the spreading awareness across women and India have shown no gender disparity(Singh et al., 2012). Indian women have undergone a long journey and are now more visible, successful, and diverse in all spheres. They are no longer only cooking for their families; they have the power to shape their financial future with small business ownership of their own. Women entrepreneurs nationwide are making progress and rising to new levels of professional engagements by redefining gender roles (Gurnani, 2014).
Considering the rising sensitivity to the role and economic status of women in society, it's no surprise that more and more women are establishing their own empires. To be clear, there are many skills, adaptability, and knowledge involved - including business knowledge.
Literature Review:
Das (2000) conducted a research on female small business owners in Tamil Nadu and Kerala, two states in India. The initial challenges faced by female entrepreneurs are remarkably comparable to those encountered by women in western countries. The level of work-family conflict experienced by Indian women business owners was lower than that of their counterparts in westerns nations, and they were also found to have different motivations for starting and running successful businesses. Other Asian nations like Singapore and Indonesia exhibit similar trends.
Kirkwood (2009) highlighted the fact that, despite being drawn into entrepreneurship in a strikingly comparables to men, women were pushed into it primarily because of their families, particularly their ability to be flexible with children.
Kumar (2017)concluded that the factors influencing female entrepreneurship have a very complex structure across nations and have a significant impact on the “Pull” and “Push” issues that affect female entrepreneurship. The results suggested that cultural factors and societal perceptions of female entrepreneurs foster a supportive environment for female business owners from the perspective of various cultural frameworks. The most crucial element in promoting female entrepreneurship internationally is its following process. Focusing on improving women’s capabilities by directing college and university girls toward education in the related fields based on society’s needs, part-time or correspondence education for women who work outside the home in addition to their family is promoted and extended.
Shastri et. al. (2019) the need for creativity, originality, self-identity and freedom in addition to the desire to contribute to society are the key pull factors that encourage female entrepreneurs to start their firms. The viewpoint of institutional theory holds that informal institutions are mostly to blame for the challenges that female entrepreneurs confront. A big difficulty is presented by the fact that society does not appreciate and acknowledge their skill as professional entrepreneurship. Additionally, cultural values that are represented in the gender-specific position allocation contribute to the problem of work-life balance. It doesn’t appear that formal institutions’ problems are pervasive or gender-specific.
Singh (2008) undertook research to identify the reason and elements that affect women’s entrepreneurial success as well as the obstacles to it. These included parenting duties, gender inequality, an absence of social support, and insufficient familial and financial assistance, as well as a lack of engagement with successful businesspeople.
Vijayran (2022) researcher concluded that a women entrepreneur should be deeply motivated and self-assured to accept challenging roles in order to meet her personal needs and achieve financial independence, despite the many challenges that are present in society. In the worst case of the unprecedented economic conditions, she should be prepared to face tough competition. Additionally, there is a need to increase creativity and productivity through the provision of goods and services that satisfy societal demands. Even though the number of women entrepreneurs in India has increased over the past ten years, women entrepreneurs in India still have a long way to go before they are equally represented in the corporate sector.
Singhal et. al. (2022) according to the study, there are very few women who are literate in India. The issue has limited the experience of women entrepreneurs, which has restricted and hampered the growth of women entrepreneurs. A significant and formidable roadblock to the advancement of female entrepreneurs is the social culture barrier. Lack of experience and knowledge causes women entrepreneurs’ businesses to end appropriately due to due to loss and other negative effects, as well as irresponsible partners. We steer clear of any ambiguous issue caused by the definition of entrepreneurship.
Objective of the study:
Hypothesis of the study:
H1: All motivating aspects are significant for women entrepreneurs.
Research Methodology:
Purpose of the study:To explore the diverse motivational aspects for women entrepreneurs in across Rajasthan, India. The argument that my thesis is addressing is how motivation affects the performance of women entrepreneurs. It looks at how they face challenges in their business, the opportunities they have for growth, and their attitude towards government schemes and the future prospects available for women entrepreneurs.
Research design: exploratory and descriptive research design
Data collection Method:Primary data collected from structured questionnaire (Murumkar,2016) and secondary data collected from magazines, journals, articles, books, websites etc.
Sampling Method: Convenience sampling
Sample Size: 385 on the basis of Cocharan’s Formula
Locale of the study: Rajasthan (Ajmer, Jaipur,Jodhpur,Kota,Bikaner,Udaipur)
Statistical method: ANOVA, Correlation, and Regression
Table 1.1 Demographic Profile of Respondents
Attributes |
N |
Percent |
|
Attributes |
N |
Percent |
||
Age Group |
|
Place |
||||||
Less Than 30 |
95 |
25 |
|
Ajmer |
42 |
11 |
||
30-40 |
135 |
35 |
|
Jaipur |
82 |
21 |
||
40-50 |
113 |
29 |
|
Jodhpur |
37 |
10 |
||
More Than 50 |
42 |
11 |
|
Kota |
51 |
13 |
||
Total |
385 |
100 |
|
Bikaner |
51 |
13 |
||
Marital Status |
|
Udaipur |
122 |
32 |
||||
Married |
267 |
69 |
|
Total |
385 |
100 |
||
Unmarried |
71 |
19 |
|
Business Classification |
||||
Widow |
36 |
9 |
|
Beauty Parlour or Saloon |
79 |
20 |
||
Divorcee |
11 |
3 |
|
Garments |
56 |
15 |
||
Total |
385 |
100 |
|
Academics |
48 |
12 |
||
Qualification |
|
Boutique |
47 |
12 |
||||
illiterate |
2 |
1 |
|
Restaurant/Tiffin Center/ Food Items |
32 |
8 |
||
up to 8th standard |
47 |
12 |
|
Cosmetic /Jewellery Shop |
41 |
11 |
||
up to 12th standard |
105 |
27 |
|
Hobby Classes |
33 |
9 |
||
up to graduation |
117 |
30 |
|
General Store |
22 |
6 |
||
Post-Graduation |
77 |
20 |
|
Others |
27 |
7 |
||
higher than post-graduation |
37 |
10 |
|
Total |
385 |
100 |
||
Total |
385 |
100 |
|
Investment |
||||
Annual Income |
|
less than 1 Lakh |
102 |
26 |
||||
less than 1 Lakh |
88 |
23 |
|
1-3 Lakhs |
129 |
34 |
||
1-3 Lakhs |
159 |
41 |
|
5-10 Lakhs |
77 |
20 |
||
3-5 Lakhs |
109 |
28 |
|
3-5 Lakhs |
40 |
10 |
||
More than Rs. 5 Lakhs |
29 |
8 |
|
10-15 Lakhs |
10 |
3 |
||
Total |
385 |
100 |
|
More than 15 Lakhs |
27 |
7 |
||
Family Type |
|
Total |
385 |
100 |
||||
Joint family |
156 |
41 |
|
Family Size |
||||
Nuclear family |
229 |
59 |
|
Up to 3 members |
168 |
44 |
||
Total |
385 |
100 |
|
4-5 members |
105 |
27 |
||
Trade |
|
More than 5 members |
112 |
29 |
||||
Trade |
124 |
32 |
|
Total |
385 |
100 |
||
Service |
158 |
41 |
|
Number of Employees |
||||
Manufacturing |
36 |
9 |
|
0-2 employees |
97 |
25 |
||
Handicraft |
67 |
18 |
|
3-5 employees |
124 |
32 |
||
Total |
385 |
100 |
|
6-10employees |
76 |
20 |
||
Business Ownership |
|
11-15 employees |
55 |
14 |
||||
Sole ownership |
179 |
47 |
|
more than 15 employees |
33 |
9 |
||
Joint ownership |
125 |
32 |
|
Total |
385 |
100 |
||
Family business |
76 |
20 |
|
Experience |
||||
Cooperative ownership |
5 |
1 |
|
less than 5 years |
9 |
41 |
||
Total |
385 |
100 |
|
5-10 years |
178 |
46 |
||
|
|
|
|
more than 10 years |
48 |
13 |
||
|
|
|
|
Total |
385 |
100 |
||
Intrinsic and Extrinsic Factors:Intrinsic factors are those that are a part of an individual's internal desires. For example, women who enter the business world because they enjoy it and want to develop a certain skill. Extrinsic factors involve motivations that come from outside, unrelated parties.There are many reasons people want fame, including money, prestige, and even family.
Table 1.2: Motivating Factors
Motivating Factors |
Strongly disagree |
Disagree |
Neutral |
Agree |
Strongly agree |
Total |
Economic Independence |
9(2%) |
15(4%) |
13(3%) |
107(28%) |
241(63%) |
385(100%) |
Dissatisfaction with current job |
212(55%) |
89(23%) |
57(15%) |
8(2%) |
19(5%) |
385(100%) |
Unemployment |
12(3%) |
17(5%) |
0(0%) |
113(29%) |
243(63%) |
385(100%) |
Utilising idle funds |
187(49%) |
147(38%) |
9(2%) |
23(6%) |
19(5%) |
385(100%) |
Infrastructure Facilities Availability
|
13(3%) |
38(10%) |
4(1%) |
237(62%) |
93(24%) |
385(100%) |
Social status / To advance myself |
29(8%) |
11(3%) |
2(0%) |
122(32%) |
221(57%)
|
385(100%) |
No other income sources available |
11(3%) |
14(4%) |
3(1%) |
189(49%) |
168(43%) |
385(100%) |
Family Support |
32(8%) |
17(4%) |
6(2%) |
89(23%)
|
241(63%)
|
385(100%) |
Seeking challenges in business venture |
23(6%) |
19(5%) |
9(2%) |
187(49%) |
147(38%) |
385(100%) |
No other income sources available |
11(3%) |
14(4%) |
3(1%) |
189(49%) |
168(43%) |
385(100%) |
Gaining control on my life |
9(2%) |
15(4%) |
13(3%) |
107(28%) |
241(63%) |
385(100%) |
To prove myself/ For self esteem |
13(3%) |
30(8%) |
3(1%) |
178(46%) |
161(42%) |
385(100%) |
Being entrepreneur was a lifelong goal |
23(6%) |
19(5%) |
9(2%) |
187(49%) |
147(38%) |
385(100%) |
Freedom from supervision |
12(3%) |
17(5%) |
0(0%) |
113(29%) |
243(63%) |
385(100%) |
To spend spare time |
24(6%) |
19(5%) |
8(2%) |
188(49%) |
146(38%) |
385(100%) |
Family business passed on to me |
11(3%) |
14(4%) |
3(1%) |
168(43%) |
189(49%) |
385(100%) |
To support family Financially |
9(2%) |
15(4%) |
13(3%) |
107(28%) |
241(63%) |
385(100%) |
Sixty-three percent of women entrepreneurs have accepted their economic independence. This can be seen with the dissatisfaction with current job, which is at 55%. There are many reasons for why women start their own businesses, but the most popular reason was being unemployed, which 63% of those who responded said was their reason for starting a business. Women entrepreneurs highly disagree that they are using idle funds; this belief is shared by 49% of respondents. A majority of 97% of respondents want to upgrade social status.As women in our society have we've been given less room to pursue our ambitions, they're more vulnerable and need more support. People's first impression says that women are weaker than men, but you will never know unless you ask. More than half of respondents with a business said they pride themselves on being tough enough to take on anything they face, and that starting their business after the death of a life partner was extremely difficult yet they were able to succeed (49%). 34% percent disagreed and said there has not been such a case or situation in their lives.
Table 1.3 Descriptive Statistics
Parameters |
Mean |
Std. Dev. |
N |
Economic Independence
Dissatisfaction with current job
Unemployment |
4.51
2.54
3.07
|
1.009
1.557
1.691
|
385
385
385
|
Utilising idle funds |
2.45 |
1.32 |
385 |
Infrastructure Facilities Availability
Social status / To advance myself |
3.60
4.28 |
1.341
.836 |
385
385 |
No other income sources available |
3.60 |
1.394 |
385 |
Family support
Acceptance from people forabilities and talent |
4.40
4.62 |
.967
.580 |
385
385 |
Looking for challenges in occupationalendeavours |
4.42 |
.889 |
385 |
To increase income |
4.30 |
.746 |
385 |
Control over life |
4.50 |
.790 |
385 |
To prove myself/ For self-esteem
Being entrepreneur was a lifelong goal |
4.52
3.83 |
.593
1.153
|
385
385 |
Autonomy from supervision |
4.29 |
.829 |
385 |
To spend spare time |
4.05 |
1.202 |
385 |
Family business passed on to me
To support family financially
Accountability to run business due to death of member |
3.13
4.09
2.02 |
1.639
1.157
1.670 |
385
385
385 |
Reasons for motivation in the survey and in the analysis that correspond to higher means are: economic independence (4.51), support from family/spouse (4.40), seeking challenges while running a business venture (4.42), advantage of making more money(4.30), gaining control on one's own life(4.50), proving oneself/self-esteem(4.52), freedom from supervision/independence(4.29).
Factor Analysis -
Factor analysis reduces a large number of variables by looking for patterns among the observed variables. As an example, if your data contains many variables it may be difficult to find the important factors once you have grouped them together. With factor analysis, you'll end up with a small number of variables that can explain the variance in your whole set of data. This can help you with further analysis and finding relationships between variables.
Table1.4The KMO measures: If the KMO is less than 0.5 decide at what point you should drop a variable from your analysis. If all off-diagonal elements are close to zero, then this indicates that your measurement model is good
KMO and Bartlett's Test |
||
KMO Measure of Sampling Adequacy |
.660 |
|
Bartlett's Test of Sphericity |
Approx. Chi-Square |
802.659 |
D.f. Sig. |
171 .000
|
Bartlett's test is a statistician-oriented statistic used to determine whether there is sufficient evidence to conclude that two or more variables are part of the same regression model.
Total Variance Explained: The following table shows all the factors that were extracted from our analysis and broken down by their corresponding Eigen values. Notice how the first one accounts for 29.65% of variance while the second is at 11.52%. The third 10.11%, etcetera. None of the other factors have any significant amount of variance. All factors not shown are not significant, which is why they are omitted from this table.
Table 1.5 Total Variance Explained |
||||||
Component |
Initial Eigenvalues |
Extraction Sums of Squared Loadings |
||||
Total |
% of Variance |
Cumulative % |
Total |
% of Variance |
Cumulative % |
|
1) 2) |
5.636 2.187 |
28.654 12.525 |
28.655 40.174 |
5.634 3.183 |
28.652 12.526 |
28.657 40.177 |
3) |
1.926 |
11.116 |
52.293 |
2.923 |
11.114 |
52.293 |
4) |
1.669 |
9.768 |
61.054 |
2.669 |
9.769 |
61.058 |
5) 6) |
1.365 1.137
|
8.165 6.976 |
68.220 72.191 |
1.364 1.132
|
8.163 6.972 |
66.220 72.195 |
7) |
.926 |
3.867 |
79.058 |
|
|
|
8) |
.769 |
3.030 |
81.088 |
|
|
|
9) |
.660 |
3.474 |
84.559 |
|
|
|
10) |
.496 |
2.617 |
87.171 |
|
|
|
11) 12) 13) 14) |
.437 .369 .318 .296 |
2.286 2.928 2.664 2.568 |
91.457 91.380 93.041 94.610 |
|
|
|
15) |
.278 |
2.456 |
96.055 |
|
|
|
16) |
.198 |
1.037 |
97.098 |
|
|
|
17) |
.155 |
.808 |
97.899 |
|
|
|
18) 19) |
.114 .098 |
.598 .508 |
98.493 100.001 |
|
|
|
Factor Matrix
The table below displays the loadings of each variable on the factors extracted. The larger the absolute value of a loading, the more that factor contributed to whether that variable is present.
Table 1.6Component (Factor) Matrix
|
1 |
2 |
3 |
4 |
5 |
6 |
Economic Independence
Dissatisfaction with current job
Unemployment |
.571
.343
.260 |
-.086
-.744
-.664 |
-.164
-.081
.225 |
-.362
-.091
.431 |
.397
.035
-.036 |
.114
.321
.287
|
Utilising idle funds |
.094 |
-.378 |
.375 |
.459 |
.309 |
-.312 |
Infrastructural facilitiesAvailability |
.279 |
.282
|
.629 |
.017 |
.477 |
.135 |
Social status / To advance myself |
.552 |
.144 |
.479 |
-.138 |
-.019 |
.194 |
No other income sources available
|
.194
|
.006
|
-.733 |
.429 |
-.054 |
.017 |
Family Support
Looking for challenges in occupational endeavours |
.388
.391 |
-.024
.351 |
.138
.283 |
.281
-.037
|
-.241
-.624 |
-.668
.350 |
To increase income |
.847 |
-.174 |
-.083 |
-.058 |
.084 |
-.196 |
Control over life
|
.864
|
.069
|
.217 |
.011 |
-.109 |
-.055 |
To prove myself/ For self-esteem
Being entrepreneur was a lifelong goal |
.768
.535
|
-.073
.372
|
-.094
-.116 |
-.276
.421 |
.043
-.234 |
-.259
.127 |
Autonomy from supervision |
.759 |
.094 |
-.197 |
-.328 |
.124 |
.030 |
To spend spare time
|
.561 |
-.117 |
-.349 |
.437 |
.068 |
.251 |
Family business passed on to me
|
.436
|
.458
|
.150 |
.498 |
.339 |
.109 |
To support family financially
|
.678
|
.069
|
-.246 |
-.211 |
.019 |
-.038 |
The factors which occurred over 0.5 as a major variable to be studied are control of life, economic independence, social status, respect from other for skill and talent, and freedom from supervision.
Table 1.7: Testing the parameters of motivation |
||||||
Parameters |
t value
|
df
|
Sig. (2- tailed) |
Mean Difference |
95% Lower Difference
|
95% Upper Difference
|
Economic Independence |
39.48
|
384
|
.000
|
4.512
|
4.29
|
4.73
|
To increase income |
51.167 |
384 |
.000 |
4.294
|
4.14 |
4.47 |
Control over life |
52.352 |
384 |
.000 |
4.478 |
4.4 |
4.66 |
To prove myself/ For self-esteem |
70.130
|
384
|
.000
|
4.527
|
4.37
|
4.67
|
To support family financially |
29.980 |
384
|
.000
|
4.086 |
3.81 |
4.35
|
self-motivation and confidence |
11.903 |
384 |
.000 |
2.134 |
1.78 |
2.49 |
strong leadership qualities |
15.058 |
384 |
.000 |
2.549 |
2.21 |
2.89 |
No Concern for Failure or Criticism |
14.613 |
384 |
.000 |
2.620 |
2.27 |
2.98 |
Maintaining work life balance |
35.510 |
384 |
.000 |
4.035 |
3.10 |
4.30 |
Change in lifestyle |
59.031 |
384 |
.000 |
4.405 |
4.28 |
4.56 |
Time management |
53.240 |
384 |
.000 |
4.40 |
4.25 |
4.58 |
Managing stress of decision making |
57.91 |
384 |
.000 |
4.380 |
4.21 |
4.57 |
Discriminating behavior as male/female |
22.630 |
384 |
.000 |
3.595 |
3.23 |
3.8 |
Local competition /success indicators |
66.31 |
384 |
.000 |
4.30 |
4.20 |
4.45 |
Understanding govt. rules and regulations |
22.421 |
384 |
.000 |
3.741 |
3.42 |
4.03 |
Competing in male dominated field |
35.318 |
384 |
.000 |
4.071 |
3.88 |
4.30 |
Lack of awareness about legal compliance |
20.221 |
384 |
.000 |
2.733 |
2.41 |
3.05 |
In the table below, from among all of the parameters which are taken into account when determining motivation for female entrepreneurs, it is seen that some are extracted and are deemed to be important. As per t-test, null hypothesis is rejected and it depicts that above mentioned factors motivate women to start their business.
Conclusion:
This study found that in India, with their male-dominated society, women are more economically and socially dependent than men. Many of our conclusions were drawn from the analysis and assessment of respondents during this study, as well as existing literature on the subject.However, through entrepreneurship women seek opportunity to broaden skills and experience, as well as freedom to determine their destiny.he conclusion here is that women have a higher interest in starting new businesses. This needs to be taken into account by the government in its efforts towards empowering women.Women entrepreneurs have the potential to set up, manage, and run their own businesses in a very systematic way. Society needs to provide encouragement and support for these women's ventures- not just for their sake, but for the sake of all women.
References: