CVC Exploration Sequence: Agent-Based Simulation Code and Results

Replication materials for a 2026 study on Corporate Venture Capital (CVC) exploration strategies. The dataset includes NetLogo simulation code and supplementary materials analyzing how the temporal sequence of exploration affects program survival and performance. The underlying research is based on 10,000 simulation runs.

Use Cases

• Replicating simulation results for the paper 'Start Near or Start Far? The Effect of CVC Exploration Sequence on Survival and Performance' based on the provided NetLogo code.
• Conducting robustness analyses based on the detailed robustness analysis results included in the supplementary materials.
• Studying the impact of exploration sequence (near-only, far-only, staged expansion, reverse) on firm survival based on the described agent-based model.
• Examining mathematical specifications and parameter tables for building similar simulation models in strategic management.

Strengths

• Includes full NetLogo simulation code for complete model replication.
• Contains detailed robustness analysis results from the supplementary materials.
• Based on a simulation with 10,000 runs, as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the output data is unknown, which may limit suitability assessment.

Provenance

Source

Ueda, Akimasa (Keio University)

Collection Method

Agent-based simulation built in NetLogo.

Freshness

Last updated 2026-03-25 22:53:54; freshness should be verified