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The purpose of this paper is to investigate the role of firms’ features on innovation performance in Industry 4.0, focusing on the concepts of breadth and depth of openness in the innovation process.

Using data gathered from 96 firms active in Industry 4.0 (I4.0) in Italy, a Poisson regression analysis is conducted to investigate the relationship between the openness of firms’ innovation processes at the level of knowledge sources and their innovation performance in I4.0.

The results highlight the relationship between the level of openness and innovative performance in I4.0. In particular, the breadth of the openness of the innovation process of enterprises is curvilinearly related to innovation in I4.0, taking an inverted U-shape.

Managers of firms operating in I4.0 should consider openness as a strategic response to the knowledge requirements and risks associated with the innovation process in complex technologies.

Through the questionnaires administered mainly to highly qualified individuals, an original and unique database has been created with information on the openness of the innovative process and the innovation performances in I4.0.

The purpose of this paper is to capture the role of internal and external characteristics in favouring the growth of innovative start-ups at an early stage of their life.

The empirical approach of this paper is based on an econometric analysis applied to all Italian innovative start-ups with four and five years of life. Growth is analysed after four and five years from the constitution, depending on internal investments in research and development (R&D), in tangible assets and on characteristics external to the firm (110 Italian provinces) related to industrial variety, specialisation, public investments in R&D, etc.

The results achieved in this study reveal the importance of internal R&D investment even though there is missing evidence on the relevance of general and government specific R&D investment in the area. Other interesting results concern the importance of the firm’s involvement in the technological specialisation of the area and the need for general variety in technological diversification in the area to favour the growth of start-ups.

The results imply that entrepreneurs should evaluate carefully their strategic choices in terms of the location of the start-up and the investment in R&D as these could be important factors for the firm’s growth.

This paper is an original attempt to measure the importance of both internal and external characteristics for the growth of start-ups. Moreover, the analysis covers the overall population of a new interesting category of firm, the innovative start-up.

The purpose of this paper is to investigate the relational dynamics for innovation and, in particular, the impact of the openness of innovation process on the innovation capacity of organisations in restricted geographical contexts.

Through a negative binomial regression, the work analyses how the characteristics of the openness of the organisation’s innovation process in the period 2004-2010 influence the firm’s patent productivity in the following period (2011-2016).

The breadth of the open innovation (OI) process, here measured by the number of external network ties that an organisation realises for the realisation of its patents, has a positive effect on patent productivity. The depth of the openness, that is, the intensity of external network ties, has an equally positive influence on the innovative performance. However, after a tipping point, the patent productivity tends to decrease, underlining the costs and problems of OI practices.

This study considers only patent collaborations in the city of Florence. Therefore, it focusses on codified innovations and on a single territorial case study.

The results underline the importance of the adoption of OI practices in restricted geographical contexts (such as cities, clusters or industrial districts) but with several limitations. Only collaborating more with others does not foster the organisation’s invention productivity, but different types of evidence are found here.

An original database has been created, containing all the information on patents realised in the area of Florence from 2004 until 2016, and a social networks analysis was applied to identify the local innovation networks.

Urban scholars employ numerous sources to study early cities, including primary sources such as historical maps, literary accounts, tax records, and the like to help visualize cities in various periods. In recent years, a variety of artificial intelligence programs have been employed to not only create visual images of earlier cities, but also to allow audiences to negotiate city streets and enter buildings within the city. The Assassin's Creed series of video games created by Ubisoft place the game player in historical settings where the assassin (representing peace and free will) will battle against groups of foes (representing order and control). Assassin's Creed II is set in Florence at the end of the fifteenth century and has been praised for the visual reconstruction of the city. But how well can a computer game represent the Early Renaissance City?