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Idea Assessment via Enterprise Crowdfunding : An Empirical Analysis of Decision-Making Styles

Title data

Feldmann, Niels ; Gimpel, Henner ; Muller, Michael ; Geyer, Werner:
Idea Assessment via Enterprise Crowdfunding : An Empirical Analysis of Decision-Making Styles.
2014
Event: 22nd European Conference on Information Systems (ECIS) , 09.-11.06.2014 , Tel Aviv, Israel.
(Conference item: Conference , Paper )

Official URL: Volltext

Abstract in another language

Deciding which ideas to pursue is an essential step in innovation management. Organizations increasingly open up their decision-making processes internally and externally by harnessing the collective intelligence of crowds. One mechanism for doing so is enterprise crowdfunding, i.e. inviting employees to propose and support ideas on a crowdfunding platform inside the enterprise. In this paper, we empirically analyze such an enterprise crowdfunding endeavor where hundreds of
employees endowed with the discretion to spend company budget proposed dozens of ideas and decided to fund 10 of them. Based on log files and information on the employees’ roles in their enterprise, we investigate the time course of individual decision-making – i.e., whether they decide rather quickly or more time - lagged which ideas to support Factors that influence decision-making style include characteristics of proposers, supporters, ideas, supporters’ activity level, and the progress of the trial. From this, we derive suggestions for future research into crowdfunding, and we propose relevant design parameters for using crowdfunding as a tool for internal openness and Enterprise 2.0

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Collective Intelligence; Crowdfunding; Decision-Making; Empirical Study; 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 > 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: 14 Sep 2018 06:51
Last Modified: 21 Feb 2019 10:45
URI: https://eref.uni-bayreuth.de/id/eprint/45785