This study examines how differences in the indirect network effects strengths of competing platforms affect the multihoming ratio, which is the ratio of multihoming users to total end users, from simulations using a system dynamics model of platform competition. From an empirical analysis of console platform competition in the Japan market, we confirm that the multihoming ratio at the end of the life cycle of platform competition can be estimated from the combination of the indirect network effects strengths of competing platforms. To do so, we treat the parameter-optimized system dynamics model as a feasible and valid reference model and transform it into the Julia code using the generative AI, ChatGPT. Furthermore, by generating contour maps based on simulation results and predicted values from nonlinear regression models, we compare the patterns of change in the multihoming ratio under different combinations of the indirect network effects strength and verify their validity. The analytical procedure and results presented in this study suggest new ways to simplify the linkage-from system dynamics model simulations supported by generative AI to general linear and nonlinear regression analysis-and to improve the visualization of results.

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In Japan, the home-visit nursing business has grown significantly as part of efforts to support the community-based integrated care system. However, many home-visit nursing stations face challenges such as financial instability and workforce shortages, making sustainability difficult to achieve. This study aims to identify key factors for establishing resilient management in home-visit nursing using causal loop diagrams. The study employed methods such as visualization of elements using the KJ method, risk assessment mapping, and analysis of interactions through causal loop diagrams. A positive feedback loop was identified, wherein enhanced nurse integrity leads to high-quality care, improving user satisfaction. This loop contributed to better service quality, increased user numbers, and enhanced station credibility. Additionally, empowering family members' self-care abilities reduced emergency calls and workload, improving service efficiency and quality. Conversely, increased workload and extended working hours for nurses resulted in fatigue, deteriorated work-life balance, and higher turnover rates, forming a negative cycle. Improved compensation, supported by increased revenue, was found to be effective in preventing turnover. The findings suggest that creating a supportive work environment and fostering sustainable workforce development are essential for realizing resilient home-visit nursing services.

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