Uloženo v:
| Hlavní autoři: | , |
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| Médium: | Recurso digital |
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| Vydáno: |
Zenodo
2026
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| Témata: | |
| On-line přístup: | https://doi.org/10.5281/zenodo.18693304 |
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Obsah:
- <p>This dataset supports the undergraduate thesis <strong>“Analyzing Factors Enablers and Inhibitors of Robo-Advisor Adoption in Investment Apps by Indonesian Gen-Z.”</strong> It contains research data collected to examine the drivers and barriers that influence Indonesian Generation Z users’ adoption of robo-advisory features in investment applications. The dataset is intended to enable transparency, reproducibility, and further academic research on fintech adoption, robo-advisors, and digital investing behavior in emerging markets.</p> <p>The Zenodo record includes:</p> <ul> <li> <p><strong>Survey instrument / questionnaire</strong> (if included): items used to measure constructs related to adoption.</p> </li> <li> <p><strong>Raw survey responses</strong> (anonymized): individual-level responses without direct identifiers.</p> </li> <li> <p><strong>Cleaned/processed dataset</strong>: data after cleaning, coding, and validation steps.</p> </li> <li> <p><strong>Codebook / data dictionary</strong>: variable names, descriptions, response scales, and coding scheme</p> </li> </ul>