More than just financial performance: Trusting investors in social trading

Veit Wohlgemuth, Elisabeth S.C. Berger and Matthias Wenzel

Journal of Business Research, 2016, vol. 69, issue 11, 4970-4974

Abstract: Social trading is a new form of online community in which investors can automatically, simultaneously, and unconditionally copy the investments of other traders whom they trust. Using data from the social trading network eToro, this study uses fuzzy-set qualitative comparative analysis to explore configurations of cognition-based and affect-based signals of trustworthiness that generate trust and prompt one investor to copy another. This study identifies two configurations that prompt trust and the decision to copy. Those configurations rely on both cognition-based and affect-based signals of trustworthiness. Furthermore, the study identifies six configurations in which weak cognition-based and affect-based signals of trustworthiness lead to parties failing to establish trust. These findings contribute to a better understanding of the establishment and non-establishment of trust in online communities and have implications for social trading platforms and their members.

Keywords: Social trading; Trust; Online community; fsQCA; Investment (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296316302247
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:69:y:2016:i:11:p:4970-4974

DOI: 10.1016/j.jbusres.2016.04.061

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 ().