What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success

Hui Xu, Yang Wu, Juho Hamari

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Crowdsourcing has risen as a prominent way to outsource work to people reachable online. A critical predictor for the success of crowdsourcing campaigns on the market depends on the crowdsourcer's ability to signal credibility towards the potential workers. Therefore, this study investigates which indicators of trustworthiness on crowdsourcers' profiles (gamification-based, transparency, and experience) and level of monetary compensation predict crowdsourcee participation and consequent crowdsourcing campaign success. This study analyzes data of 101 crowdsourcing tasks from a popular Chinese crowdsourcing platform “Xiao Yu'er”. We employ the methods of Structural Equation Modelling and fuzzy set Qualitative Comparative Analysis to find out that gamification-based indicators of trustworthiness were positively associated with task popularity and further successfulness of the crowdsourcing task. Furthermore, in addition to profile credibility based on gamification-based indicators being sufficient, combinations of money with transparency and money with experience can substitute lack of other indicators as way to signal sufficient credibility.

Original languageEnglish
Pages (from-to)484-495
Number of pages12
JournalJournal of Business Research
Volume139
Early online date13 Oct 2021
DOIs
Publication statusPublished - 2022
Publication typeA1 Journal article-refereed

Keywords

  • Crowdfunding
  • Crowdsourcing
  • Gamification
  • Transparency
  • Trust

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Marketing

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