Digital Maturity Assessment Data for Higher Education with Influence Matrices

A dataset supporting a hybrid knowledge and data-driven methodology for assessing digital maturity in higher education. It includes core data and MATLAB codes for the proposed approach, such as an initial influence matrix and key influencing factor Kendall rank correlation coefficients. The dataset was authored by Zhao, Yuqi and last updated on May 17, 2026.

Use Cases

• Modeling factor relationships in digital maturity based on the provided influence matrix.
• Calculating and validating rank correlations for key influencing factors using the Kendall coefficient data.
• Replicating or extending the proposed hybrid assessment methodology using the included MATLAB codes.

Strengths

• Includes MATLAB code for methodology replication, which can aid reproducibility.
• Contains structured intermediate analysis artifacts like a reachability matrix.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Humanities & Social Sciences Communications Dataverse

Collection Method

Likely compiled from research manuscripts and analytical outputs for a specific methodology.

Time Range

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Freshness

Last updated 2026-05-17 02:38:11; freshness should be verified.

Geography

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