Warehouses are increasingly exploring collaborative mobile robots (CMRs) to automate intralogistics processes as part of broader digital transformation initiatives. However, making strategic decisions to implement collaborative mobile robots is complex and multifaceted. This paper proposes a methodological framework for strategic decision-making in deploying collaborative mobile robots for warehouse automation and provides insights on its validation. The framework integrates economic evaluation assessment (including return on investment ROI, cost-benefit CBA, and sensitivity analysis), environmental sustainability assessment, and human-centric considerations. Through a structured literature review and theoretical grounding, the author identifies critical factors influencing the successful adoption of collaborative mobile robots, from technological and process factors to human factors. The paper outlines a research design to validate the framework via empirical data and causal analysis (i.e., VAR-LiNGAM method) to analyze the impact of implementation factors over time. The expected outcome is a decision-support methodology that helps logistics managers systematically evaluate and plan CMRs implementations. The paper offers insights into aligning advanced automation with strategic goals in the era of Industry 5.0.