thisisazaro/research-bim-financial-results: v1.0.0 — Reproducible valuation pipeline for BIM effects in PPP projects

Overview This is the initial public release of a reproducible R-based research repository on the financial effects of BIM in PPP projects. The repository implements a structured valuation pipeline that connects evidence on BIM effects to project-level financial modeling through DCF, scenario analysis, Monte Carlo simulation, WACC sensitivity analysis, meta-regression, and real-options valuation. Included in this release full modular R pipeline from raw-data loading to final value decomposition cleaned project structure with reusable functions in R/ analytical scripts in scripts/ exported tables and figures in outputs/ project documentation in README.md Analytical layers The release includes the following research modules: data loading and cleaning descriptive analysis project-level OPEX and baseline DCF construction BIM effect calibration from survey and literature evidence deterministic scenario analysis Monte Carlo simulation for OPEX effects joint Monte Carlo simulation for OPEX and WACC uncertainty WACC sensitivity analysis meta-regression of literature-based BIM effects real-options valuation of managerial flexibility final project-level BIM value decomposition Main contribution The repository does not treat BIM as a single abstract benefit. Instead, it decomposes BIM-related project value into distinct economic channels: baseline project value efficiency value from operating improvements value of risk reduction value of managerial flexibility Notes This release is intended as a reproducible academic and portfolio repository. Some valuation layers are intentionally stylized rather than fully structural, especially: WACC reduction assumptions real-options approximation meta-regression as an explanatory and calibration layer rather than a causal design Author Evgenii Azarov