Respondent-Level Dataset for Robo-Advisor Adoption in China: Trust, Fiduciary Duty, Perceived Benefits, and Asset Allocation (N = 378)

This dataset contains a respondent-level file created to support the empirical structure of the paper Trust, Fiduciary Duty, and Cultural Barriers in Robo-Advisor Adoption: Evidence from China’s PIPL-Regulated Fintech Ecosystem. It represents a study’s survey size of 378 Chinese investors and is organized at the individual-response level. The file includes respondent identifiers, age, and investment experience, together with construct-level variables reflecting the model reported in the paper: Duty of Care, Duty of Loyalty, Perceived Benefits, Trust, Ease of Use, Data Security, Adoption Expectations, and Asset Allocation Ratio. This file is intended for replication support, model checking, robustness exploration, and personal research use.