Supplementary Tables for UK Contractor Data Use Survey Analysis

Supplementary materials for the manuscript 'Determinants of Strategic Data Use in Contractor Organizations' by Badamasi, Xie, and Kassem. The deposit includes four tables supporting empirical findings from a survey of 183 UK construction professionals analyzed with tree-based ensemble machine learning and SHAP. The materials are provided to support reproducibility, secondary analysis, and verification of the published findings.

Use Cases

• Verify reported predictive contributions (e.g., Data Governance at 59.5%) based on the full SHAP interaction tables.
• Analyze correlations between constructs and target variables based on the full Pearson correlation matrix.
• Reproduce construct definitions and survey item classifications for methodological validation.
• Perform secondary SHAP dependence analysis on the provided interaction values.

Strengths

• Includes specific predictive contribution percentages: Data Governance accounts for 59.5% of contribution to strategic data use.
• Based on a survey of 183 UK construction professionals.
• Provides four structured supplementary tables covering definitions, statistics, and model interactions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary survey responses and analysis code are under embargo and not included in this deposit.

Provenance

Source

Abdulmalik Abubakar Badamasi

Collection Method

Survey of 183 UK construction professionals, analyzed with tree-based ensemble machine learning and SHAP.

Freshness

Last updated 2026-05-06 09:07:30; freshness should be verified.

Geography

UK