Improving the efficiency of allocating crowd donations with agent-based simulation model

Chi Hsien Yen, Yi Chieh Lee, Wai-Tat Fu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Crowdfunding platforms are emerging as an important online social platform to raise capital and awareness for innovative projects. When considered as a general online social system, the goal of a crowdfunding platform is to efficiently allocate a large number of small funds to promising new projects. However, the efficiency of donation allocation and the success rate of projects can be influenced by the behavior of donors, such as how they evaluate each project and choose the projects to donate. To understand how such behavior could impact crowdfunding market, we developed an agent-based model of crowdfunding to investigate three factors, i.e., project visibility, noise of perceived project quality, and donor strategies. These factors may impact the efficiency of a crowdfunding platform.

Original languageEnglish (US)
Title of host publicationSocial, Cultural, and Behavioral Modeling - 10th International Conference, SBP-BRiMS 2017, Proceedings
PublisherSpringer
Pages248-253
Number of pages6
Volume10354 LNCS
ISBN (Print)9783319602394
DOIs
StatePublished - 2017
Event10th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2017 - Washington, United States
Duration: Jul 5 2017Jul 8 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10354 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Social, Cultural, and Behavioral Modeling, SBP-BRiMS 2017
Country/TerritoryUnited States
CityWashington
Period7/5/177/8/17

Keywords

  • Algorithm
  • Crowdfunding
  • Fundraising
  • Simulation
  • Social

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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