Franssens, G.R., 2007. Functions with Derivatives Given by Polynomials in the Function Itself or a Related Function. Analysis Mathematica, 33, pp.17–36. DOI: https://doi.org/10.1007/s10474-007-0102-5.
Junseok, H., Youngsang, Ch., Nguyen, V.L., 2009. Investigation of Factors Affecting the Diffusion of Mobile Telephone Services: An Empirical Analysis for Vietnam. Telecommunications Policy, 33, pp.534–543.
Meade, N., Islam, T., 2006. Modelling and Forecasting the Diffusion of Innovation – A 25-year Review. International Journal of Forecasting, 22, pp.519–545.
Michalakelis, C., Sphicopoulos, T., 2012. A Population Dependent Diffusion Model with a Stochastic Extension. International Journal of Forecasting, 28, pp.587–606.
Nazarko, J., red., 2018. Prognozowanie w zarządzaniu przedsiębiorstwem (Forecasting in Business Management), Cz. IV (Vol. 4), Prognozowanie na podstawie modeli trendu (Forecasting Based on Trend Models). Białystok: Oficyna Wydawnicza Politechniki.
Qian, L., Soopramanien, D., 2014. Using Diffusion Models to Forecast Market Size in Emerging Markets with Applications to the Chinese Car Market. Journal of Business Research, 67, pp.1226–1232.
Rządkowski, G., Głażewska, I., Sawińska, K., 2014. Logistic Function as a Tool of Planning. Foundations of Management, Vol. 6, No. 1, pp.57–70, DOI: 10.1515/fman-2015-0004.
Słupiński, M., Kucharavy, D., 2011. Wykorzystanie krzywej wzrostu logistycznego (Krzywa S) do przygotowania analizy foresight w projekcie „Quality of life” (The use of the logistic growth curve (S curve) to prepare a foresight analysis in the project „Quality of life”) [access 31.05.2019]
Yamakawa, P., Rees, G.H., Salas, J.M., Alva, N., 2013. The Diffusion of Mobile Telephones: An Empirical Analysis for Peru. Telecommunications Policy, 37, pp.594–606