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From Intuition to Automation: A Comparative Study of Traditional Investment Decisions and Robo-Advisory Adoption Among Retail Investors in Indonesia

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Quantitative analysis reveals low adoption of robo-advisors among retail investors, indicating trust and literacy barriers.

There is a significant positive correlation between trust in traditional methods and investment applications, but robo-advisor adoption remains low.
Findings from a survey of 120 retail investors indicate barriers like low digital literacy and lack of trust hinder robo-advisor use.
A quantitative descriptive-correlational approach was utilized to compare traditional and technology-based investment methods.
These results highlight the need for targeted education and greater transparency in the robo-advisory sector.

Pinandhito et al. (2025) studied this question.

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View Full Paper

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Authors

Quantitative analysis reveals low adoption of robo-advisors among retail investors, indicating trust and literacy barriers.

There is a significant positive correlation between trust in traditional methods and investment applications, but robo-advisor adoption remains low.
Findings from a survey of 120 retail investors indicate barriers like low digital literacy and lack of trust hinder robo-advisor use.
A quantitative descriptive-correlational approach was utilized to compare traditional and technology-based investment methods.
These results highlight the need for targeted education and greater transparency in the robo-advisory sector.

Pinandhito et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark