Human capital and signalling theory. The communication mechanisms between fund seekers and backers in reward-based crowdfunding: a Swedish Kickstarter Campaigns data-based approach.
(2022) ENTN19 20221Department of Business Administration
- Abstract (Swedish)
- Purpose - Based on previous research, this study explores the importance of signals as a way to attract investment in Reward-based Crowdfunding by focusing on signalling theory. This study presents two hypotheses suggesting a positive relationship between Human Capital (defined as education and previous working experience) and the likelihood of success on Reward-based Crowdfunding.
Methodology - This study applies both binary logistic regression and linear regression analysis to test the hypotheses on a sample of 79 entrepreneurs that conducted reward-based crowdfunding campaigns on the platform Kickstarter. Personal data regarding the entrepreneur's educational degrees and work experience was gathered through the social platform... (More) - Purpose - Based on previous research, this study explores the importance of signals as a way to attract investment in Reward-based Crowdfunding by focusing on signalling theory. This study presents two hypotheses suggesting a positive relationship between Human Capital (defined as education and previous working experience) and the likelihood of success on Reward-based Crowdfunding.
Methodology - This study applies both binary logistic regression and linear regression analysis to test the hypotheses on a sample of 79 entrepreneurs that conducted reward-based crowdfunding campaigns on the platform Kickstarter. Personal data regarding the entrepreneur's educational degrees and work experience was gathered through the social platform LinkedIn.
Findings - According to empirical calculations based on the analysed dataset, only the number of years of education that entrepreneurs possess had a significant role in reward-based crowdfunding success. Surprisingly, the significance of the correlation proved to be negative, indicating that entrepreneurs with fewer years of education had a higher success rate in obtaining funding. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9091191
- author
- Valencia Gutierrez, Gabriel LU and Koa, Lucas LU
- supervisor
- organization
- course
- ENTN19 20221
- year
- 2022
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Reward-based crowdfunding, Signalling Theory, Human capital, Backer motivation
- language
- English
- id
- 9091191
- date added to LUP
- 2022-06-21 10:52:32
- date last changed
- 2022-06-21 10:52:32
@misc{9091191,
abstract = {{Purpose - Based on previous research, this study explores the importance of signals as a way to attract investment in Reward-based Crowdfunding by focusing on signalling theory. This study presents two hypotheses suggesting a positive relationship between Human Capital (defined as education and previous working experience) and the likelihood of success on Reward-based Crowdfunding.
Methodology - This study applies both binary logistic regression and linear regression analysis to test the hypotheses on a sample of 79 entrepreneurs that conducted reward-based crowdfunding campaigns on the platform Kickstarter. Personal data regarding the entrepreneur's educational degrees and work experience was gathered through the social platform LinkedIn.
Findings - According to empirical calculations based on the analysed dataset, only the number of years of education that entrepreneurs possess had a significant role in reward-based crowdfunding success. Surprisingly, the significance of the correlation proved to be negative, indicating that entrepreneurs with fewer years of education had a higher success rate in obtaining funding.}},
author = {{Valencia Gutierrez, Gabriel and Koa, Lucas}},
language = {{eng}},
note = {{Student Paper}},
title = {{Human capital and signalling theory. The communication mechanisms between fund seekers and backers in reward-based crowdfunding: a Swedish Kickstarter Campaigns data-based approach.}},
year = {{2022}},
}