• official statistics
• logistic regression
• supply chains

This thesis is dedicated to a wide range statistical analysis on propensity to innovation and research of companies which registered office in Tuscany. The focus will be on supply chains, which are configuring a more informative setting of the data. The following analysis comprises two main parts: firstly, it will be introduced the regional context, that is an indication of the general sentiment and of the most recent results of companies and regional public entities’ investments.
Secondly, we will introduce three indicators, which are assumed as representative signals of propensity to the adoption of new technologies and methodologies. The analysis will present data from regional calls for funds in R&D and innovation fields, which are assumed as real indications of an evolved corporate culture and therefore permeable to the new paradigms of communication and digital management of the corporate system and its relations with the supply chain. The adoption of 4.0 paradigms implies a vision and a rethinking strategy of a company’s business model that usually is engaged by the most dynamic and open to changes companies. Those firms are characterized by a propensity to collaboration, to innovation and – in more evolved cases – R&D in partnership.
Ultimately, a binary logistic regression model is applied to a variable representing companies participating in public funding initiatives at a regional level. The main result is a probability that provides us a measure of the propensity to innovation of the different supply chain belonging to the regional economic environment of Tuscany.