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Robo-advisor adoption, willingness to pay, and trust—an experimental investigation pre and during Covid-19

We compare readiness to adopt and willingness to pay for (as a proxy for trust) financial advice provided three ways (algorithm, human, and a hybrid of algorithm and human) using an online and a computerized laboratory experiment. Our experiments were conducted pre and during Covid-19 period, this enables to compare the Covid-19 effect. For the same potential financial advice, we investigate age, gender, time and other control variables (financial literacy and technology adoption) to learn about differences in the readiness to adopt and pay for the different advice options.

Lead investigator:

Daniel Ben David

Affiliation:

Hebrew University of Jerusalem

Primary topic:

Attitudes, media & governance

Region of data collection:

Asia and Oceania

Country of data collection

Israel

Status of data collection

Complete

Type of data being collected:

Experimental

Unit of real-time data collection

Individual