Anthropomorphized financial robo-advisors and investment advice-taking behavior

Bingjie Deng, Michael Chau

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

Abstract

Financial robo-advisors have been used in the financial advisory service and have started to serve consumers' daily investment advice. It is unclear, however, how visual designs of robo-advisors will have spillover effects on the decisions involving high risk and uncertainty (i.e., investment advice-taking behavior). This study investigates the visually anthropomorphic designs of robo-advisors and their effects on consumers' trust and risk perceptions, as well as their investment advice-taking behavior. In particular, according to the advice response theory, we propose that an anthropomorphic robo-advisor will increase users' trust in the robo-advisor, decrease their perceived risk of financial advice, and in turn, affect users' responses towards the investment advice. The findings will contribute to the literature related to robo-advisor, advice-taking, and anthropomorphism, and proffer insightful takeaways for managers about how to use different designs of robo-advisors to improve their services and user experience.

Original languageEnglish
Title of host publication27th Annual Americas Conference on Information Systems, AMCIS 2021
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632584
Publication statusPublished - Aug 2021
Externally publishedYes
Event27th Annual Americas Conference on Information Systems, AMCIS 2021 - Virtual, Online
Duration: 9 Aug 202113 Aug 2021

Publication series

Name27th Annual Americas Conference on Information Systems, AMCIS 2021

Conference

Conference27th Annual Americas Conference on Information Systems, AMCIS 2021
CityVirtual, Online
Period9/08/2113/08/21

Keywords

  • Anthropomorphism
  • Financial robo-advisor
  • Investment advice-taking
  • Perceived risk
  • Trust

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