General Factors Influencing Creators and Contributors:

An Exploratory Study on Crowdfunding in Bengaluru

 

Meghana C.1, Dr. Punith Cariappa2

1Research Scholar, Dayananda Sagar University Kumarswamy Layout, Bengaluru - 560078.

2Dean and Professor, School of Commerce and Management, Dayananda Sagar University Kumarswamy Layout, Bengaluru- 560078.

*Corresponding Author E-mail: meghanac1092@gmail.com, dean-scms@dsu.edu.in

 

ABSTRACT:

Crowdfunding is one another source of finance to raise the capital to initiate the business, causes, needs, or initial capital required for entrepreneurs and start-ups. The study is aimed at exploring the factors that influence creators and contributors to go for crowdfunding. It is based on the online survey method using a structured questionnaire through Google forms. For data analysis correlation and confirmatory factor analysis are used. 22 variables are converted into 5 major factors which as needs and convenience, mass reach and confidence, decision making, feasibility process, and goal-oriented.

 

KEYWORDS: crowdfunding, participation, factors, creators, and contributors.

 

 


BACKGROUND:

Crowdfunding is multidimensional which includes financing of product, project campaign, causes, or services with different models like donation, reward, debt, royalty, and equity-based by giving an open call to the public across the country or outside based platforms and social networks. It may be individual, enterprises, NGOs, and companies based on their interests in the way they can contribute or invest for monetary or non-monetary benefits depending on their intrinsic or extrinsic motivations.

 

After the financial crisis in 2008, it gains further significance worldwide whereas some sectors cannot get funds in the traditional and modern way of financing. Hence, crowdfunding has become an alternative financing source and gaining its importance rapidly. Many crowdfunding platforms have rapidly gained significance worldwide.

 

US and UK and other developed countries use it as successful alternatives for raising finance and it’s in the development stage and some developing countries crowdfunding industries are at an infant stage.

 

In case of Indian context. It is at an infant stage and scope will rapidly increase in the upcoming years as many researchers, policymakers are analyzing the scope of crowdfunding models and regulatory laws relating to it. Many people in need of funds can convert their dreams into reality by getting the proper funds at the right time at a lower cost and risk at minimal levels.

 

Presently 15 crowdfunding platforms are working in India, based on the different models and different commission rates charged on the amount raised in the campaign.

 

As far as India is concerned, it is found that transaction value of the crowdfunding segment in a predicted to reach US Dollar is 1.9 Million in 2020 and the expected annual growth rate (Compound Annual Growth Rate) 2020-2024 is of 1.4% resulting in a project and total amount of US Dollar sits 9.7 million by the end of 2024.

 

RELATED LITERATURE:

The concept in India has emerged before 11years since 2009. Presently very few articles are published on theoretical and empirical studies from the Indian context and it is gaining the attention of the researchers, policymakers, and practitioners as it is a multi-dimensional approach. Present platforms are providing financial services to some artists, film-based projects, music albums, and few social-based and individual-based campaigns.

 

Devashis Mitra (2012), highlights financial recession occurrence in the year 2008 and a funding gap between traditional and modern financing. Dr. Hetal Jhaveri and Prof Anjali Choksi (2017), Indian scenario crowdfunding is in the infant stage and it can be used by upcoming entrepreneurs in the initial stage of raising the funds and there is scope for regulatory law as recommended. Prinsha K (2016), advantages and risk associated, recommended for new Law, as India is Law of lands. Aditi Bhargava, Rashmi Bhat, and Niti Tiwari (2017), Internet-based security is a major risk, cyber laws security is recommended so that it can reach many people and with confidences, many entrepreneurs can raise an initial stage capital. Ms. Shruthi Srinivasan (2016), finds that it will be more successful with team coordination and through the channel of media promotion. It can be bright in the upcoming years because of internet penetration and e-commerce success. Akshay Verma and Shwetaketu Radia Tyagi (2016), it is focused on the cost benefits, proper guidelines by the Government, and SEBI rules and regulations related to the policy must be flexible and can be easily adaptable to the Indian economy. Rekha Sharma and Neha Thakur (2015), highlighted the uses, advantages, disadvantages and to overcome challenges of funding. The explorative study has concluded that it can be one of the alternatives for small project ideas but strong cyber laws, proper law, regulatory framework to platforms, and process of funding must be investor-friendly and awareness is required. Derek Smith; Mohammed Mehdi; Gharaei Manesh and Asrar Alshaikh (2013), it is found that motivation is the key factor for success relating to crowdfunding, tapping the right crowd will ensure solving many entrepreneurial problems relating to funding of technological innovators at a lower cost and encourage many talented people. Rekha Bhuvanendran, Pravitha N R (2018), focused on the primary research who was keeping the audience as students, entrepreneurs, and others. They have noted that awareness of concepts is required for young entrepreneurs, so the success rate of raising the funds will increase, and then it will help develop the country's economy.v Dr. G V M Sharma; Dr. Anitha; and Prakruthi (2019), highlighted that more awareness is required and many people consider other alternatives as a financial option as compared to crowdfunding for their investments.

 

Based on the above discussion. it is found that only conceptual studies are more relating to the Indian context. Hence the present study has taken this gap and conducted the primary investigation. We have aimed to answer important questions like general factors which can influence creators and contributors to go for Crowdfunding

 

RESEARCH QUESTION:

As Crowdfunding is a new emerging financial alternative available in India, the study aimed at understanding

a.     Which are factors play an important role in participation?

 

RESEARCH OBJECTIVES:

To Explore the factors that influence creators and contributors for crowdfunding

 

RESEARCH METHODOLOGY:

The study is exploratory and is based on the online survey method using a structured questionnaire through google forms. Data is collected from the respondents. The questionnaire contains the demographical and general factors which play a role in participation. The respondents were asked to rate on 5 points Likert scale. The study adopted convenience sampling under the non-probability sampling method. It consists of 104 respondents from Bengaluru city based on the selection by thumb rule. Statistical software SPPSS was used for analysis. Statistical techniques like correlation and confirmatory factor analysis are being used.

 

Data Analysis:

Factor Analysis:

The data collected through the questionnaire were entered into SPSS software and analyzed. For the study, 22 variables relating to crowdfunding were taken into consideration. To reduce the data Confirmatory factor analysis was used. To check whether the data collected was suitable for the factor analysis, the following steps were taken into consideration:

 

KMO and Bartlett's Test

Kaiser-Meyer-Olkin Measure of Sampling Adequacy.

.959

Bartlett's Test of Sphericity

Approx. Chi-Square

3116.065

df

231

Sig.

0.000

 

The confirmatory factor analysis was performed to confirm the factors for the study. Kaiser – Meyer- olkin’s test has shown marvelous sampling adequacy (0.959) and Bartlett's test of Sphericity has shown significance at P<0.05.

 

Communalities

 

Initial

Extraction

Safety

1.000

.851

Feasible

1.000

.853

Goal

1.000

.881

Returns

1.000

.856

Helping

1.000

.868

Incentive

1.000

.907

Reward

1.000

.878

Amount of Funds

1.000

.851

Deadline

1.000

.865

Easy Process

1.000

.898

Volume

1.000

.848

Unsecured investment

1.000

.924

Stock Market Risk

1.000

.812

Popular

1.000

.807

Monitoring

1.000

.871

Exemptions

1.000

.834

Transparency

1.000

.895

Recognition

1.000

.873

Monitoring agency

1.000

.872

Trustworthy

1.000

.911

Simplicity

1.000

.897

Motivation

1.000

.854

Extraction Method: Principal Component Analysis.


 

Total Variance Explained

Component

Initial Eigenvalues

Extraction Sums of Squared Loadings

Rotation Sums of Squared Loadings

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

Total

% of Variance

Cumulative %

1

16.603

75.470

75.470

16.603

75.470

75.470

4.727

21.487

21.487

2

.963

4.378

79.848

.963

4.378

79.848

4.489

20.406

41.893

3

.649

2.952

82.801

.649

2.952

82.801

4.267

19.395

61.288

4

.471

2.143

84.944

.471

2.143

84.944

3.155

14.343

75.631

5

.420

1.909

86.852

.420

1.909

86.852

2.469

11.221

86.852

6

.378

1.717

88.569

 

 

 

 

 

 

7

.363

1.651

90.221

 

 

 

 

 

 

8

.279

1.270

91.490

 

 

 

 

 

 

9

.271

1.230

92.720

 

 

 

 

 

 

10

.226

1.027

93.747

 

 

 

 

 

 

11

.203

.924

94.671

 

 

 

 

 

 

12

.189

.857

95.528

 

 

 

 

 

 

13

.153

.696

96.224

 

 

 

 

 

 

14

.148

.674

96.898

 

 

 

 

 

 

15

.130

.591

97.489

 

 

 

 

 

 

16

.107

.487

97.976

 

 

 

 

 

 

17

.102

.464

98.440

 

 

 

 

 

 

18

.095

.430

98.870

 

 

 

 

 

 

19

.079

.360

99.230

 

 

 

 

 

 

20

.072

.327

99.557

 

 

 

 

 

 

21

.053

.242

99.799

 

 

 

 

 

 

22

.044

.201

100.000

 

 

 

 

 

 

Extraction Method: Principal Component Analysis.

 


Rotated Component Matrixa

 

Component

1

2

3

4

5

Safety

.697

 

 

 

 

Feasible

.688

 

 

 

 

Goal

.624

 

 

 

 

Returns

 

 

.647

 

 

Helping

.810

 

 

 

 

Incentive

 

 

.774

 

 

Reward

 

 

.734

 

 

Amount of Funds

 

 

.513

 

 

Deadline

 

 

 

.563

.593

Easy Process

 

 

 

.680

 

Volume

 

 

 

.577

 

Unsecured investment

 

 

 

 

.892

Market Risk

 

 

.540

 

.517

Popular

 

.667

 

 

 

Monitoring

 

 

.523

 

 

Exemptions

 

 

 

.519

 

Transparency

.536

.580

 

 

 

Recognition

 

.611

 

 

 

Monitoring agency

 

.556

 

 

 

Trustworthy

 

.627

 

 

 

Simplicity

.523

.585

 

 

 

Motivation

 

.570

 

 

 

Extraction Method: Principal Component Analysis.

Rotation Method: Varimax with Kaiser Normalization.

a. Rotation converged in 8 iterations.

 

Based on Varimax Rotation with Kaiser Normalization 5 factors have been extracted. Each factor is constituted of those variables that have factor loadings greater than 0.5. 5 factors were extracted from the 22 variables used in the study. These 5 extracted factors explained 86.852% of the Variability. 21.487%, 20.406%, 19.395%, 14.343%, 11.221%.

 

Factor I:

The factor consists of 4 variables showing the 21.487% variance. It includes safety, feasibility, goal, and helping and which indicates relating to the needs and convenience of creators and contributors.

 

Factor II:

The factor consists of 7 variables showing the 20.406% variance. It includes popular, transparency, recognition, monitoring agency, trustworthiness, simplicity, and motivation and which indicates relating to mass reach and confidence factor.

 

Factor III:

The factor consists of 6 variables showing the 19.395%variance. It includes returns, incentive, reward, amount of funds, market risk, monitoring and which indicates relating to decision-making factors.

 

Factor IV:

The factor consists of 3 variables showing the 14.343% variance. It includes exemptions, volume, easy process, and which indicates relating to the feasibility process.

 

Factor V:

The factor consists of 2 variables showing the 11.221% variance. It includes deadlines and unsecured investments and which indicates relating to goal-oriented.

 

FINDING:

The study found that five major factors influence creators and contributors considered while participating in crowdfunding in general which are as follows -Needs and Convenience, Mass reach and Confidence, Decision Making, Feasibility Process, and Goal Oriented.

 

CONCLUSION:

From the Study it is found 22 variables relating to creators and contributors are converted into 5 major Factors which influence the crowdfunding participation-Needs and Convenience, Mass reach and Confidence, Decision Making, Feasibility Process, and Goal Oriented.

 

LIMITATIONS:

In the study, the respondents may not have a complete awareness of the concept and they may have given biased information due to online surveys. Non-probability Technique is used on the Convenience method and only a few respondents are considered and the rural population is not considered.

 

SCOPE FOR FUTURE RESEARCH:

In this study, only general factors relating to crowdfunding were taken into consideration. If they have already invested or participated in the campaigns of Indian platforms, how they were aware, the model used, platforms considered for raising an amount, and major success factors can be analyzed and model building can be done using those factors.

 

REFERENCES:

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2.      Bhuvanendran, R., and R, P. N. (2018). An Exploratory Study of Awareness and Attitude towards Crowdfunding in Kerala. International Journal of Pure and Applied Mathematics, 4065-4077.

3.      C, H. K., and Johnson, D. B. (2019). Crowdfunding: The Modus Operandi. International Journal of Management, Technology, And Engineering, IX (1), 2723- 2726.

4.      Dannberg, T. (2017). What can we say about the users of Crowdfunding Platforms?

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6.      Gulliksson, P. (n.d.). What Crowdfunding Platforms Do people know?

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10.   P, K., and Baag, P. K. (2018). Crowdfunding for Entrepreneurs - analysis of the Institutional Work.

11.   S. Nagalakshmi, and Cecilia, U. G. (2014). Crowd Funding – An Emerging Trend in India. IJSR - International Journal of Scientific Research, 3(4), 71-73.

12.   Sajjan, P. R., and Venkatesha, D. H. (2018). Investors Awareness and Perception of crowdfunding Models in India. IOSRJournal of Business and Management, 20(10), 33-36. DOI:10.9790/487x-2010033336

13.   Sarkar, A. (2016). Crowdfunding in India: Major Roadblocks and the way ahead. 1-10.

14.   Sharma, D. G., Anitha, D., and Prakruthi. (2019). Crowdfunding in India: An Empirical Study. International Journal of Advanced Research (IJAR), 7(3), 935-942.

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Received on 10.09.2020            Modified on 26.09.2020

Accepted on 07.10.2020           ©AandV Publications All right reserved

Asian Journal of Management. 2020;11(4):493-496.

DOI: 10.5958/2321-5763.2020.00073.6