**6. Conclusions**

In this short note we sketched a new approach to modeling export readiness dynamics and posed the problem of finding an optimal firm's strategy of export debut. While the model is quite complex and requires a combination of analytical and numerical studies, it builds a qualitative and intuitive picture of the transition to export dynamics. The most labor-intensive component of further work is to construct a qualitative questionnaire and the corresponding quantitative digitalization algorithms to estimate the model parameters Export Barrier *B*, Export Stimuli *μ<sup>R</sup>*, and internal volatility *σR* for different types of companies. As the size of the company can be one of quantitative factors affecting export readiness, it is possible that *B*, *μ<sup>R</sup>*, and *σR* will be asset-dependent, which will further increase the non-linearity of the problem, causing multiple equilibria and conditional instability typical for this type of complex systems, bringing it even closer to problems studied by Econophysics.

**Funding:** This research received no external funding.

**Data Availability Statement:** Not applicable.

**Acknowledgments:** The author would like to thank their colleagues from AO National Economics Research Center of St Petersburg State University for introducing the author to the subject. The author would like to express their gratitude to Maxim Bouev, Alexander Gurevich, and Nadezhda Ivannik for their many fruitful discussions, as well as to Igor Makarov for his help in preparing this article.

**Conflicts of Interest:** The author declares no conflict of interest.
