Data 2: Decision-Making Unit Performance for Centralized Organizations

A dataset for evaluating decision-making units (DMUs) within centralized organizations using Data Envelopment Analysis (DEA). The dataset, authored by Zahra Cheraghali and last updated in May 2026, is stored in an XLS file of 5.5 KB. It supports a proposed mixed-integer nonlinear programming model designed to identify outstanding units without predefined constants.

Use Cases

• Identify high-impact decision-making units based on collective contribution metrics described in the study
• Benchmark unit performance within a centralized system using the proposed DEA model
• Validate new mixed-integer nonlinear programming formulations for efficiency analysis
• Support managerial decision-making for resource allocation in centralized organizations

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• The underlying model guarantees feasibility and boundedness, as stated in the description.
• License is CC-BY-4.0, allowing for open sharing and adaptation.

Limitations

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

Provenance

Source

figshare

Collection Method

Empirical data used for model validation, as mentioned in the description.

Freshness

Last updated 2026-05-14 17:45:52; freshness should be verified.