Analyzing Factors Enablers and Inhibitors of Robo-Advisor Adoption in Investment Apps by Indonesian Gen-Z

This dataset supports the undergraduate thesis “Analyzing Factors Enablers and Inhibitors of Robo-Advisor Adoption in Investment Apps by Indonesian Gen-Z.” 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. The Zenodo record includes: Survey instrument / questionnaire (if included): items used to measure constructs related to adoption. Raw survey responses (anonymized): individual-level responses without direct identifiers. Cleaned/processed dataset: data after cleaning, coding, and validation steps. Codebook / data dictionary: variable names, descriptions, response scales, and coding scheme