Business Model of Sustainable Robo-Advisors: Empirical Insights for Practical Implementation

Authors

AU Cam-Duc KLINGENBERGER Lars SVOBODA Martin FRÉRE Eric

Year of publication 2021
Type Article in Periodical
Magazine / Source MDPI/Sustainability
MU Faculty or unit

Faculty of Economics and Administration

Citation
Web Link to file
Doi http://dx.doi.org/10.3390/su132313009
Keywords Robo-Advisory; Asset Management; Digital Assets; Porfolio Management; Sustainability
Attached files
Description The given research paper examines the characteristics of German private investors regarding the probability of using robo-advisory-services. The used data set was gathered for this purpose (N = 305) to address the research question by using a logistic regression approach. The presented logit regression model results indicate that the awareness of sustainable aspects make a significant difference in the probability of using a sustainable robo-service. Additionally, our findings show that being male and cost-aware are positively associated with the use of a sustainable robo-advisor. Furthermore, the probability of use is 1.53 times higher among young and experienced investors. The findings in this paper provide relevant research findings for banks, asset managers, FinTechs, policy makers and financial practitioners to increase the adoption rate of robo-advice by introducing a sustainable offering.

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