Weight Sensitivity Analysis Results for a Standard Digitalization Maturity Model

Xize Liu's dataset contains results from a sensitivity analysis on a maturity assessment model for standard digitalization. The model, based on the TBOE (Technology-Business-Organization-Environment) framework, was validated with an empirical analysis in the power industry. The data was last updated on March 25, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Assessing the robustness of a maturity model based on weight perturbations and measurement uncertainties.
• Validating the TBOE (Technology-Business-Organization-Environment) framework for standard digitalization.
• Benchmarking digital maturity stages in the power industry based on the described assessment model.
• Conducting factor analysis on key influences for standard digitization as mentioned in the study.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Model validation includes an empirical analysis within the power industry.
• The maturity model incorporates a three-stage categorization derived from the Gartner Hype Cycle framework.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 5.5 KB size suggests a very limited scope, likely containing only summary or analysis results.

Provenance

Source

Xize Liu via figshare

Collection Method

Likely contains results from a sensitivity analysis and empirical validation of a proposed maturity model.

Freshness

Last updated 2026-03-25 17:30:41; freshness should be verified.