Exploring the Trust Influencing Mechanism of Robo-Advisor Service: A Mixed Method Approach

Xusen Cheng, Fei Guo, Jin Chen, Kejiang Li, Yihui Zhang and Peng Gao
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Xusen Cheng: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
Fei Guo: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
Jin Chen: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
Kejiang Li: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
Yihui Zhang: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China
Peng Gao: School of Information Technology & Management, University of International Business and Economics, Beijing 100029, China

Sustainability, 2019, vol. 11, issue 18, 1-20

Abstract: As a typical application of fintech, the robo-advisor has increasingly gained attention over the last decade. However, most research regarding the robo-advisor has focused on its development issues such as performance improvement and regulation, while limited research has paid attention to trust. This research extends the literature by investigating the trust influencing mechanism of robo-advisors by a mixed method approach. Specifically, we identified six salient trust influencing factors by qualitative interviews and proposed the research model based on trust transfer theory. This model was tested via a survey of 230 investors. Our study finds the significant influencing role of supervisory control and validates the relationships among trust influencing factors, trust in technologies, trust in vendor and trust in robo-advisor. Moreover, several differences between junior investors and senior investors are also found in our research. This study examines trust transfer theory in the new context of the robo-advisor and contributes to further development of this increasingly utilized service.

Keywords: fintech; robo-advisor; trust; trust transfer theory; supervisory control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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