Analysis on the Influencing Factors of Commercial Financial Asset Allocation Structure Driven by Big Data
and
Feb 27, 2025
About this article
Published Online: Feb 27, 2025
Received: Oct 03, 2024
Accepted: Jan 30, 2025
DOI: https://doi.org/10.2478/amns-2025-0104
Keywords
© 2025 Ting Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Sample Investment Behavior
| Statistics | Variable value | Number of people | Proportion% |
|---|---|---|---|
| Investment purpose | Investment impulse | 4 | 1.3% |
| Manage personal or family wealth | 309 | 97.8% | |
| Full-time job | 3 | 0.9% | |
| Risk appetite | Risk averse | 39 | 12.4% |
| Risk neutral | 240 | 75.9% | |
| Risk neutral | 37 | 11.7% | |
| Operating frequency | Every day | 17 | 5.4% |
| Several times a week | 102 | 32.3% | |
| Several times a month | 134 | 42.4% | |
| Several times a year | 63 | 19.9% | |
| Awareness of smart investing | Never heard | 6 | 1.9% |
| Heard about it | 310 | 98.1% | |
| Smart investing usage | Never used | 241 | 76.2% |
| Used | 75 | 23.8% |
Basic information of samples
| Statistics | Variable value | Number of people |
|---|---|---|
| Gender | Male | 188 |
| Female | 128 | |
| Age | Under 25 | 23 |
| 25-30years old | 113 | |
| 31-40years old | 138 | |
| 41-50years old | 32 | |
| 51 years and older | 10 | |
| Education | Below college | 5 |
| College | 36 | |
| Undergraduate | 247 | |
| Master degree and above | 28 | |
| Profession | White collar | 243 |
| Civil servant | 23 | |
| Blue collar | 4 | |
| Retired people | 12 | |
| Freelance | 21 | |
| Retired people | 2 | |
| 0ther | 11 | |
| Monthly income level | Below 3000 yuan | 4 |
| 3000-4999 yuan | 25 | |
| 5000-9999 yuan | 133 | |
| 10000-19999 yuan | 128 | |
| More than 20,000 yuan | 26 |
Basic model test results
| Relation | Path coefficient | T statistic | P value |
|---|---|---|---|
| Lack of Accountability -> Algorithmic Trust (A1) | -0.167 | 4.200 | 0.023 |
| Lack of accountability -> Service provider trust (A2) | -0.125 | 3.304 | 0.014 |
| Lack of transparency -> Algorithmic trust (B1) | -0.114 | 2.607 | 0.012 |
| Lack of transparency -> Service provider trust (B2) | -0.020 | 0.377 | 0.052 |
| Alignment of Interests -> Algorithmic Trust (C1) | 0.153 | 3.125 | 0.017 |
| Alignment of Interests -> Service Provider Trust (C2) | 0.115 | 2.359 | 0.026 |
| Personalized Service -> Algorithm Trust (D1) | 0.173 | 3.318 | 0.028 |
| Personalized Service -> Service Provider Trust (D2) | 0.269 | 3.938 | 0.018 |
| Perceived usefulness -> Algorithmic trust (E1) | 0.463 | 8.138 | 0.012 |
| Perceived usefulness -> Service provider trust (E2) | 0.353 | 5.582 | 0.008 |
| Algorithm trust -> Willingness to use (F) | 0.518 | 8.143 | 0.013 |
| Service Provider Trust -> Willingness to Use (G) | 0.206 | 3.637 | 0.012 |