Application of technological intelligence tools and S-curves in a foresigth evaluation regarding biodegradables packaging and environmentally friendly up to 2032

This paper is an input of "foresigth evaluation regarding biodegradable packaging and environmentally friendly, up to 2032". The intention is to show the results obtained through the use of tools such as intelligence technology and S-curves as supports for decision making. In the process, two databases were used: Scopus and Freepatentsonline. Based in the results by patents and articles, collected data was used in function and were applied non linear regression techniques to calculate the inflection point. Statistical parameters such as adjuste d R2, value T, Value P, and Durbin Watson, Zartha et al. (2014); Cortés et al (2013); Ávalos et al. (2011) were calculated to validate the results obtained. The articles and patents data were analyzed through the Weibull, Gompertz, Logistic, Sigmoidal, Hill models and others, 13 models were applied in total. The chosen models had the better statistics fit and inflection point were calculated, for the appears case, the sigmoidal model had the better statistic fit with 4 parameters, showing what inflection point will by 2019. In patents, the better model statistic fit was sigmoidal model with 4 parameter, showing what the inflection point was in the year 2004.