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The Effects of Within- and Between-Group Competition on Trust and Trustworthiness among Acquaintances

Overview of attention for article published in PLOS ONE, July 2014
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Title
The Effects of Within- and Between-Group Competition on Trust and Trustworthiness among Acquaintances
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0103074
Pubmed ID
Authors

Guofang Liu, Chongde Lin, Ziqiang Xin

Abstract

Several studies have indicated that between-group competition is a key stimulator of trust and trustworthiness. Another important but neglected type of competition may also affect trust and trustworthiness: within-group competition, especially competition among acquaintances. The present study investigated the effects of both within- and between-group competition on trust and trustworthiness, which were measured using an investment game played by acquaintances. We found that, compared to the participants' performance in the non-competition condition, when individuals were motivated to compete with their in-group members or the other groups for financial rewards, they demonstrated more trust. When individuals were motivated to compete with their in-group members, they exhibited lower trustworthiness than in non-competition and between-group competition. In addition, within-group competition decreased the trustor's payoff while both within- and between- group competition increased the trustee's payoff. Finally, we found that males trusted their group members more than females.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 12 27%
Unknown 9 20%
Readers by discipline Count As %
Psychology 10 22%
Computer Science 5 11%
Social Sciences 4 9%
Economics, Econometrics and Finance 3 7%
Business, Management and Accounting 2 4%
Other 7 16%
Unknown 14 31%