TY - CONF
T1 - The effect of user interactions on shaping online trust
T2 - 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
AU - Zhu, Chenyang
AU - Abrahao, Bruno
AU - Zhao, Anqi
AU - Parigi, Paolo
N1 - Funding Information:
This work is supported by the National Science Foundation (NSF) grant #1257138. Abrahao was supportedybaaNtional Natural ScienceoFundationf oChina(NSFC)grant#61850410536.
Funding Information:
This work is supported by the National Science Foundation (NSF) grant #1257138. Abrahao was supported by a National Natural Science Foundation of China (NSFC) grant #61850410536.
Publisher Copyright:
© Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - Trust is critical to the healthy function and growth of organizations. In particular, the success of online platforms of resource exchange, which depends on enabling trust between strangers, hinges on understanding factors that contribute to the engineering of trust. While reputation systems have proved effective in fostering trust and in offsetting prevalent social biases, it has been challenging to measure the extent to which having a peer-to-peer experience shapes judgment of trustworthiness, both in other members and in the platform itself. We draw causal conclusions from a longitudinal experiment that tracked 3,374 Airbnb users over time. We found that the average causal effect of a good user interaction enhances trust in the platform while reducing the importance users place in social similarity in their decision-making process. The effect is homogenous across groups of different socio-demographic features, which shows evidence that almost all subgroups benefit from positive user interactions.
AB - Trust is critical to the healthy function and growth of organizations. In particular, the success of online platforms of resource exchange, which depends on enabling trust between strangers, hinges on understanding factors that contribute to the engineering of trust. While reputation systems have proved effective in fostering trust and in offsetting prevalent social biases, it has been challenging to measure the extent to which having a peer-to-peer experience shapes judgment of trustworthiness, both in other members and in the platform itself. We draw causal conclusions from a longitudinal experiment that tracked 3,374 Airbnb users over time. We found that the average causal effect of a good user interaction enhances trust in the platform while reducing the importance users place in social similarity in their decision-making process. The effect is homogenous across groups of different socio-demographic features, which shows evidence that almost all subgroups benefit from positive user interactions.
KW - Causal inference
KW - Experience
KW - Natural experiment
KW - Sharing economy
KW - Trust
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M3 - Paper
AN - SCOPUS:85089125086
Y2 - 20 June 2020 through 24 June 2020
ER -