Determinants of Wearable Technology Adoption Among Non-Users

A 17.5 KB Excel file contains results from a multiple logistic regression analysis. André Hajek authored this dataset, which examines factors motivating future wearable device use among current non-users. The dataset was last updated on June 2, 2026.

Use Cases

• Predicting wearable device adoption likelihood based on survey-derived determinants.
• Training logistic regression models on technology acceptance factors.
• Analyzing motivational factors for wearable technology uptake among non-users.

Strengths

• Dataset is small (17.5 KB), facilitating quick download and inspection.
• Results are based on multiple logistic regression analysis, suggesting a structured statistical approach.
• License is CC-BY-4.0, allowing for broad reuse with attribution.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

André Hajek

Collection Method

Results based on multiple logistic regression analysis.

Freshness

Last updated 2026-06-02 17:41:42; freshness should be verified.