Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/275347 
Year of Publication: 
2022
Citation: 
[Journal:] Administrative Sciences [ISSN:] 2076-3387 [Volume:] 12 [Issue:] 3 [Article No.:] 77 [Year:] 2022 [Pages:] 1-22
Publisher: 
MDPI, Basel
Abstract: 
Participation in the political process is the fundamental right and responsibility of a citizen. Online political participation has gained popularity as it is convenient and effective. Political crowdfunding helps political candidates and parties pledge funds, usually small, from a large population and seek support through marketing campaigns during elections. In November 2020, when there were presidential elections in the US and the world was facing a global pandemic from COVID-19, political crowdfunding was a helpful method to communicate the political agenda and seek funding. The study aims to examine the intentions of US citizens to participate in political crowdfunding amid the COVID-19 pandemic. The study will integrate two models - the theory of planned behavior and civic voluntarism model - to check intentions and, in addition, the influence of COVID-19. The data were collected from 529 respondents from the US before the elections. The data were analyzed through a partial least squared structural equation modeling technique with SmartPLS 3.2. The results suggested that political efficacy and online community engagement have a positive influence on the intention to participate in political crowdfunding. Further, all three factors of TPB have a significant positive influence on intention. The perceived threat variable of COVID-19 does impact the attitude towards political crowdfunding. The study will be helpful for crowdfunding platforms and political contenders to examine the factors that can help them to seek maximum funds from the public and, at the same time, examine the effectiveness of their political communications.
Subjects: 
COVID-19
crowdfunding
CVM
Elections 2020
intentions
TPB
US
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.