Environmental Data Collection and Classification in Crowd-Funding Platforms : Evidence from Kickstarter

Ljumović, Isidora (2021) Environmental Data Collection and Classification in Crowd-Funding Platforms : Evidence from Kickstarter. In: International Scientific Conference on Information Technology and Data Related Research Sinteza, Belgrade Jun 25, 2021. Singidunum University, Belgrade, pp. 83-88. ISBN 978-86-7912-755-6

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Abstract

Mass use of social networks and the increasing availability of internet technologies
creates a series of possibilities for raising funds for entrepreneurs. Crowdfunding
is one such option, in which individuals (project creators) can share their ideas
with the general public (crowd) via the dedicated Internet platforms, resulting in
getting project supporters (backers). The relevance of crowdfunding platforms
is thoroughly described in the contemporary academic literature. Furthermore,
crowdfunding has the potential to contribute significantly to the financing of
environmental ideas and projects, hence accelerating sustainability.
The purpose of this paper is to highlight some of the techniques that can be used
in the analysis of data collected from CF platforms, as well as to provide an insight
into tests for differences between characteristics of the project with environmental
concepts. The study uses a sample of 121,437 projects from the Kickstarter
platform between 2011 and 2019. A t-test was employed to determine whether
the differences among environmental and non-environmental campaigns. The
results show that environmental campaigns are more successful, have a higher
goal, attract more funds and investors, while the Kickstarter team favourites
them. Analysis showed that quantitative field studies and big data analysis can
offer a deeper analysis of the main characteristics of crowdfunding campaigns.

Item Type:	Book Section
Additional Information:	COBISS.ID=42557961
Uncontrolled Keywords:	crowdfunding, kickstarter, sustainable, bigdata
Research Department:	Digital Economics Welfare Economics
Depositing User:	Jelena Banovic
Date Deposited:	08 Jul 2021 10:25
Last Modified:	08 Jul 2021 10:25
URI:	http://35.240.28.64/id/eprint/1614
Author Links:	[error in script] No links available.

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