What determines the successfulness of a crowdsourcing campaign: A study on the relationships between indicators of trustworthiness, popularity, and success
Hui Xu,
Yang Wu and
Juho Hamari
Journal of Business Research, 2022, vol. 139, issue C, 484-495
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.
Keywords: Crowdsourcing; Trust; Gamification; Crowdfunding; Transparency (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296321006810
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:jbrese:v:139:y:2022:i:c:p:484-495
DOI: 10.1016/j.jbusres.2021.09.032
Access Statistics for this article
Journal of Business Research is currently edited by A. G. Woodside
More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().