Generativity and Profitability on B2B Innovation Platforms: A Simulation-based Theory Development

Résultats de simulation (agent-based modeling) sur la generativity et la profitability des plateformes d'innovation B2B 264'600 runs. Redéposé pour un PoC (mémoire HEG Genève, 2026) à partir de https://doi.org/10.5281/zenodo.10211523.

This registry includes three documents with helpful information about our simulation model and the data it generates:

1. Pseudocode: This document displays the pseudocode of our simulation model.
2. Data: In this document, you will find all the data generated from 264,600 simulation runs (see Table 2 in the paper). The data is created using the model's baseline values for all its components (see the third column in Appendix A of the paper).
3. Sensitivity Analysis: This document provides the generated data for sensitivity analysis, including all the tested values for the model's components (see the fourth column in Appendix A of the paper). Unlike the Data file (see Table 2 in the paper), in the Sensitivity Analysis, we only tested specific values of experimentally manipulated variables to avoid computational burdens for the simulation.
   • We tested low (= 5), medium (= 11), and high (= 16) levels of complexity of market opportunities (CMO).
   • We tested production mechanisms (TM) and transaction mechanisms (TM) from 0.1 to 0.9 in intervals of 0.1.

NOTE: Transparency materials are provided for the benefit of readers. MISQ’s responsibilities are limited to ensuring that the minimum materials required for transparency are provided and that the materials are organized and presented in a high-quality manner (see: https://misq.umn.edu/research-transparency). The materials are not subject to peer review and MISQ bears no responsibility for their use.