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Presentation . 2022
License: CC BY
Data sources: Datacite
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Presentation . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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Other literature type . 2022
License: CC BY
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Exploring Human Replacement: A Literature Review on Robo-Advice

Authors: Altrock, Sophie; Mention, Anne-Laure; Aas, Tor Helge;

Exploring Human Replacement: A Literature Review on Robo-Advice

Abstract

The emergence of robo-advisors (RAs) raises crucial questions revolving around the balance of human intervention and machine component in wealth management, calling for a deeper understanding of a model where human and machine coexist. This paper focuses on the impact of automation and AI on the shifting role of financial advisors. Through a systematic literature review, it aids understanding how RAs are defined, how they are evolving, and how they interact with human financial advisors. Findings show that a consensus as to whether RAs will replace human financial advisors or not does not yet exist. Based on the literature review, we suggest a conceptual framework with two possible strategies for human-robot-coexistence in wealth management and a future research agenda. To successfully implement RAs into the workplace, we call for a deeper understanding of how organisations can help to adapt their workforce to accommodate automation technologies.

Keywords

robo-advise, artificial intelligence, human-robot-interaction, innovation management, workplace automation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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