Multiscale Modeling and Simulation (MMS) provides a robust approach to understanding organizational resilience in complex business systems. This paper presents a Micro-Meso-Macro framework integrating Agent-Based Modeling (ABM), Discrete Event Simulation (DES), and System Dynamics (SD). At the micro level, ABM captures individual behaviors and decision-making processes. DES at the meso level models how these individual behaviors aggregate into operational processes and efficiencies. At the macro level, SD explores systemic effects, strategic feedback loops, and policy implications over the long term. By explicitly linking these modeling techniques, the proposed conceptual framework enhances our understanding of how disruptions propagate across scales, influencing organizational resilience and adaptability. This study contributes to MMS literature by providing a scalable and structured methodology that integrates multiple simulation methods, enabling organizations to better navigate complexity and uncertainty.