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Financing Projects through Enterprise Crowdfunding : Understanding the Impact of Proposal Characteristics on Funding Success

Title data

Feldmann, Niels ; Gimpel, Henner:
Financing Projects through Enterprise Crowdfunding : Understanding the Impact of Proposal Characteristics on Funding Success.
2016
Event: 24th European Conference on Information Systems (ECIS) , 12.-15.06.2016 , Istanbul, Turkey.
(Conference item: Conference , Paper )

Abstract in another language

Crowdfunding is a widespread approach for funding creative projects through an open call for support over the internet. Recently, companies have started to adopt this approach to engage employees into their innovation management processes, calling it enterprise crowdfunding. Employees publish own proposals for innovation projects on an internal crowdfunding site and invest companyendowed money on proposals of others. Although the underlying mechanism remains the same, enterprise crowdfunding exhibits distinct differences to crowdfunding on the internet such as employees investing corporate money rather than their own. With this study, we aim to contribute to a better understanding of funding success in enterprise crowdfunding. For this, we build on data from one of the hitherto largest enterprise crowdfunding implementations run at IBM in 2014. Employees submitted 204 ideas for internal mobile apps and IBM endowed four million US dollars to staff members. We investigate the role of idea and description characteristics for funding success. While idea characteristics such as novelty, relevance and feasibility do not explain proposal success, the degree of elaboration and the extent of follow-on costs do. Description characteristics affect the significant idea characteristics and, thus, indirectly funding success.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Enterprise Crowdfunding; Benchmark; Empirical Study; Proposal Description; Idea
Assessment; Innovation; Openness
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 18 Jan 2018 15:27
Last Modified: 20 Dec 2018 08:14
URI: https://eref.uni-bayreuth.de/id/eprint/41773