Simulation and Optimisation Outputs for Port SME Digital Investment Decisions in Nigeria

Supplementary scenario-based model outputs for a study on digital capability investment decisions among port-based maritime SMEs in Nigeria. The dataset includes five-year system dynamics scenario outputs, Pareto optimisation outputs, representative investment pathways, sensitivity analysis results, and a Pareto cost-efficiency visualisation. The data was generated from literature-calibrated assumptions by author Yetunde Odewumi and published on figshare in May 2026.

Use Cases

• Compare five-year digital investment scenarios based on system dynamics model outputs.
• Analyze trade-offs between cost and efficiency using Pareto optimisation outputs.
• Evaluate the stability of model recommendations using sensitivity analysis results.
• Visualize optimal investment pathways from the provided representative pathways data.

Strengths

• Includes multiple structured outputs: five-year scenarios, Pareto frontiers, and sensitivity analyses.
• Dataset is licensed under CC BY 4.0, permitting sharing and adaptation with attribution.
• Model assumptions are calibrated from literature, providing a structured basis for simulation.

Limitations

• Data consists of scenario-based model outputs, not empirical observations of actual SMEs.
• Column-level documentation is absent; field semantics must be inferred after download.
• Dataset is small (649.8 KB), indicating limited scope and scale.

Provenance

Source

figshare, author Yetunde Odewumi.

Collection Method

Generated from literature-calibrated assumptions via system dynamics and multi-objective optimisation modeling.

Time Range

Simulation outputs cover a five-year scenario horizon.

Freshness

Last updated 2026-05-20 16:09:35.

Geography

Focus on port-based maritime SMEs in Nigeria.