1,721,076 research outputs found
L'importanza delle relazioni fiduciarie nei cluster urbani: il cluster dell'ICT e dell'audiovisivo nella città di Roma
Trust relationship in cultural districts: the audio-visual cluster of Rome
This issue concerns the topic of born and development of trust relationship among firms, localised in a delimited area (clusters or urban districts). The central idea is that cultural district is one of more useful frameworks to analyse the concept of trust.
Specifically, the aim of this paper is to underline the role that a theoretical, cultural, Marshall district, or different degrees of it, could have in the dynamic process of creation and exploitation of trust relations. The concept of cultural district is connected to the productive factor named CANH “Cultural, Artistic and Natural Heritage”, used to study the process of “cultural distrectualisation” of a High Culture (HC) local system (in our case, the city of art). The theoretical framework, identified by the CANH method let to study economic and productive relations among firms and to analyse socio-economic relations, taking into consideration the concept of relational capital (firm’s perspective) and social capital (community’s perspective), viewed as two integrated parts of relationships among actors localised into the urban cluster.
The network analysis and the social capital theory represent a valid perspective for studying the process of creation of trust in local area. Trust, in fact, occurs in cognitive and affect-based forms. Besides, the presence of trust among partners in inter organisational relationships improves communication and dialogue and can create common strategic visions. Many researchers, in fact, analyse the concept of trust in order to study social linkages among organisations. The theoretical background is based on these steps: enduring and frequent social interactions could create common goals and mutual expectations, that could produce trust
The role of multiple ties in knowledge networks: Complementarity in the Montefalco wine cluster
After decades of studies about pervasive, wide, and inclusive knowledge externalities and the advantages of being there, recent literature on management, industrial marketing, economic geography, regional studies, and related fields has stressed that knowledge spreads imperfectly, unevenly, and selectively within regional and cluster contexts. In this respect, little is known about the role played by heterogeneous knowledge ties among the same set of actors and to what extent they follow overlapping or different routes of exchanging knowledge. Thus, an investigation of multiple knowledge networks in clusters is a fundamental approach to interpret the reasons for innovation and economic performance. With an original dataset comprised of data collected by surveys directly administered in local wineries in the Montefalco wine region of Italy, this paper aims to analyse the roles played by different local knowledge ties within a sector that is critically driven by the exchange of knowledge among economic actors. Social network analysis and exponential random graph modelling were applied to investigate the driving forces of the knowledge flows. The empirical results showed that economic and social ties positively affect the spread of knowledge, but the former has a higher magnitude impact than the latter. Moreover, they follow complementary routes of exchange rather than overlapping ones. We suggest that such a structure has implications for understanding the diffusion of knowledge and structures of innovation in cluster contexts
Do firms exchange knowledge through complementary or substitutive routes of diffusion?
Studies on firms’ relationships and network structures have attracted more and
more attention from several scholars, but surprisingly little is known about the role
played by heterogeneous knowledge ties among the same set of actors and to
what extent they follow overlapping or different routes of exchanging knowledge.
In this vein, an investigation of multiple knowledge networks in clusters is a
fundamental approach to interpret the reasons for innovation and economic
performance.
With an original dataset comprised of data collected by surveys directly
administered in local wineries in the Montefalco wine region of Italy, this paper
aims to analyse the roles played by different local knowledge ties, within a sector
that is critically driven by the exchange of knowledge among economic actors.
Social Network Analysis and Exponential Random Graph Modelling were applied in
order to investigate the driving forces of the knowledge flows. The empirical results
show that different kinds of relationships positively impact the spread of
knowledge, but they are different in magnitude, and they follow complementary
routes of exchange rather than overlapping ones
Creative clusters in Europe: a microdata approach
Creative industries are highly concentrated forming clusters. One of the main problems for the identification of clusters of creative industries in Europe is the lack of data, constrained in practice to regions (NUTS 2) and influenced by the heterogeneity in the definition of NUTS across countries. This research uses firm-level data geo-referenced at address level and geostatistical modeling to identify clusters of creative industries in fifteen European countries. The procedure is independent of administrative divisions and national boundaries and allows to produce a precise geography of the clusters of creative industries in Europe.
Museum, culture and digital innovations. Introduction
The section on “Museum, Culture and Digital innovations” gathers a selection of papers presented at the international workshop entitled Rethinking Culture and Creativity in the Technological Era (Florence, 20-21 February 2020). It contains four articles
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