Pacific B usiness R eview (International)

A Refereed Monthly International Journal of Management Indexed With Web of Science(ESCI)
ISSN: 0974-438X(P)
Impact factor (SJIF):8.603
RNI No.:RAJENG/2016/70346
Postal Reg. No.: RJ/UD/29-136/2017-2019
Editorial Board

Prof. B. P. Sharma
(Principal Editor in Chief)

Prof. Dipin Mathur
(Consultative Editor)

Dr. Khushbu Agarwal
(Editor in Chief)

A Refereed Monthly International Journal of Management

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:                                  

  • To Study the diverse motivational aspectsfor women entrepreneurs

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:

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