The production and availability of big data makes it possible to use them as a lever to create value. In order to measure the relation between big data solutions and female entrepreneurship and creativity, a preliminary step consists of the review of the literature which considers the existence of the female entrepreneurship as a factor of production. The main purpose of the article is to analyze the economic literature about economic models utilized to classify the female entrepreneurship and to detect whether it is considered independent from the other production factors – which in any case have to be identified. We propose an approach based on the review of the literature. The classification of the academic articles, about female entrepreneurship as a factor of production, is conducted by means of four variables. The value of the research is to identify a definition of female entrepreneurship and the relationship between the definition and the Neoclassical Economic Theory; that is: if the female entrepreneurship is not recognized as an independent factor of production then a positive correlation between its utilization and the added value should be considered as spurious and the relation as indeterminate. The outcomes of the application allow to better define the independence of the production factors and their productiveness in relation to the value added since the main implication regards the possibility to consider the female entrepreneurship as an independent factor. The article will also put in evidence whether female entrepreneurship is a quantitative and measurable variable and if it is, or not, a standardised variable.