Synthetic Dataset for Hybrid Cash Operations Management Study (2025)

This dataset accompanies the article “Transition from Traditional to Hybrid Cash Operations Management in Banking: A System Dynamics Approach and Empirical Evaluation” (2025). The dataset contains synthetic but representative data that were generated for modeling and empirical evaluation purposes. No confidential or proprietary banking data are included. The dataset includes: KPI_Comparison – Baseline vs. Hybrid performance indicators (CIT costs, idle cash, ATM cash-out days, forecast accuracy, reconciliation lag, manual hours). Annual_Economics – Financial effects (savings, OPEX, CAPEX, net benefits, payback period). DiD_Results – Difference-in-differences estimates with 95% confidence intervals and p-values. Bank_Profile – Institutional profile and experimental design (branches, ATMs, pilot/control groups). Data_Dictionary – Definitions of variables and units. README – Documentation for dataset structure. Use:The data can be used to replicate the empirical evaluation of hybrid cash operations in banking systems, to test system dynamics models, or as an educational resource in financial operations management. Note:All data are synthetic. They were created exclusively for research modeling and evaluation purposes and do not correspond to real bank records.