Smart Specialisation Strategy (S3) has recently attracted the attention of many scholars, pundits and policy makers involved in regional studies, as a new industrial policy able to fill the gap between the weak capacity of Europe to innovate in comparison to its strong academic base and research institutions. S3 is described as a policy aimed to encourage structural changes, through the generation of new domains of opportunities, according to the strengths and potentialities of each region and therefore with a “place-based” outlook. Its primary element of novelty, in comparison to the previous policy approaches, is constituted by the Entrepreneurial Discovery Process (EDP), which represents the modality among institutions, firms, R&D centres, universities, through which the direction(s) of the structural change is organised.
To study S3, this Ph.D. thesis focuses on two pillars considered central to understand its rationales: relatedness and entrepreneurship. On one hand, the idea of relatedness is useful to understand the economic structure of a territory and its evolution through its network of connections, outlining possible areas of future development. On the other hand, entrepreneurship, somehow a missing dimension of S3, can be considered as part of the process of opportunity scanning to “challenge” inefficiencies of the society through new models of production and consumption, proactiveness of institutions, business development strategies of firms or cultural mindset of people.
The aim of the thesis is to explore this relatedness-entrepreneurship relationship within S3, using a multi-level framework of analysis able to integrate the different aspects of the two concepts, providing theoretical and empirical advancements. The thesis is structured as follows: a general introduction on S3, three papers, which analyse Italy, focusing on the case of Tuscany and some final conclusions that sum up the findings of the papers and provide some further policy insights. The content of the three papers is reported hereinafter.
In the first paper the analysis is conducted in the Italian provinces defining entrepreneurship as the creation of a new business and relatedness as one of the principal mechanisms that could explain the origin of innovation in connection with a given territorial knowledge base. The distinctiveness of this first paper seeds in the study of this relationship across individual industries, computing separate measures of external and internal relatedness across 27 sectors (among manufacturing and KIBS). The results suggest a broader and positive impact of external relatedness on the concentration of new firms at the territorial level in comparison to the impact of internal relatedness. The implications suggest that Knowledge Spillover Theory of Entrepreneurship can be included in the cognitive framework of S3 (newborns as expression of knowledge exchanged at the local level) and that innovation policies aimed to promote path creation should consider existent strengths of the territories.
The second paper studies the EDP, integrating the concept of relatedness, useful in the initial phases of design and scoping, with the one of institutional entrepreneurship as an expression of the impact of agency in the micro-dynamics that rule the final outcome of innovation policies. This framework is applied to the case of Tuscany, using a mixed methodology. As a first picture of proximity connections between sectors of Tuscany, an original computation of the “Industry Space” of Tuscany is realised (using the methodology of Hidalgo et al., 2007). Then the Technological Districts’ managers and/or coordinators are interviewed, as a sort of fact checking with the Industry Space results, to understand how they define their planning strategies and through which mechanisms they integrate knowledge and combine firms and R&D specialities. Results confirm the necessity to integrate the two concepts to obtain a more realistic “policy orientation map”, and the broader horizon released by relatedness if deeply analysed with case studies at a micro-level and if directly discussed with some central agents embedded in the regional network of proximities.
The third paper studies the entrepreneurial styles (as real business men) and their ways of integrating and combining knowledge, adopting a micro interpretation on the concept of relatedness. The paper aims to identify what role can play these entrepreneurial figures as fundamental “micro pieces” in the scanning process of future opportunities of regional transformation promoted by S3. The methodology adopts a qualitative approach, using semi-structured interviews administered to a selected set of 24 entrepreneurs in Tuscany. The sample of the entrepreneurs, selected with a purposeful criterion, has been built thanks to the help of key informants. The gathered data are codified with the help of Gioia methodology, in order to derive some characteristics of the entrepreneur and the firms to describe some “emerging properties”. Then, a ladder of entrepreneurial typologies, able to group the specific characteristics derived from the interviews, is proposed. Results suggest a “distributed technology transfer model” as a complementary bottom up strategy to converge towards a new cyber-manufacturing regime of production.
| Identifer | oai:union.ndltd.org:unitn.it/oai:iris.unitn.it:11572/253133 |
| Date | 27 February 2020 |
| Creators | Mazzoni, Leonardo |
| Contributors | Mazzoni, Leonardo |
| Publisher | Università degli studi di Trento, place:Trento |
| Source Sets | Università di Trento |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | firstpage:1, lastpage:170, numberofpages:170 |
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