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The purpose of this paper is to analyse relations between geographical and competence proximity and development of cooperation in cluster initiatives.

The research was based on an original theoretical concept referring to the trajectory of the development of cooperative relations in cluster initiatives. The research was carried out in mid-2017, in four purposefully selected cluster initiatives. The research sample was 132 cluster enterprises. The main research strategy involved non-experimental models; the basic method of data collection was an online questionnaire.

The results indicated that the role of geographical and competence proximity depends on the level of cooperation in a cluster initiative. In both these dimensions, proximity was important during the initial stage of cluster development: to start cooperation between the members, however, when more mature forms of cooperation were undertaken, the factor of common location was not so crucial any longer. It was also recommended to maintain some competence distance between the partners.

The main limitations referred to the static character of the data, the use of original measurement tools, which had not been tested before, the small and little differentiated research sample and the subjective nature of the research. The above-mentioned limitations should be viewed as a starting point for further empirical research.

Knowledge on the significance of geographical and competence proximity at various levels of cooperation in clusters is valuable for efficient management of a cluster and for higher competitiveness that it can achieve.

The research study contributes to the literature, which refers to the question of proximity in clusters through the analysis of relations between geographical and competence proximity and development of cooperation in cluster initiatives. The results of the research point out that the role of geographical and competence proximity evolves with the development of cooperation in cluster initiatives.

Following the line traced by two previous works of Albino et al. and Messeni Petruzzelli, the paper aims to analyze how technology districts reach and acquire external competencies and capabilities by means of organizational and cognitive proximity. This allows districts to modify their geographical boundaries and evolve into technology clusters.

The research design is based on a case study methodology. In particular, two actual technology districts are analyzed, namely Castel Romano and Toulouse, in order to show how they use organizational, and cognitive proximity to acquire external knowledge sources and re‐shape their geographical boundaries.

Based on the findings of the empirical study, two main propositions are formulated. The first proposition refers to the negative relationship between the geographical distance to the district's actors and the use of organizational proximity as a means for reaching external knowledge sources. By contrast, the second proposition indicates the positive relationship between the geographical distance to the district's actors and the use of cognitive proximity as a means for reaching external knowledge sources.

As regards the firm strategic behaviors, it seems particularly crucial to exploit all the three dimensions of proximity, in order to guarantee openness and sustain innovativeness and competitiveness. Concerning policy implications, the local governments should address their actions to help and promote the openness of technology districts and the formation of technology clusters. With this aim, actions should be devoted also to sustaining single local firms that are part of a technology cluster but not of a technology district. These, in fact, by increasing their competitive position, may generate positive externalities in the local area, fostering the diffusion and sharing of knowledge in the area and, then, acting as knowledge gatekeepers for the whole area.

The paper extends the findings of previous works linking three proximity dimensions in a holistic framework that explains the different use of organizational and cognitive proximity to acquire knowledge, according to the geographical distance between organizations.

This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period.

The authors used multilevel regression analysis to analyze the relationship.

Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance.

This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry collaborative innovation. This paper aims to answer the question of how geographically proximate university and industry influence cognitive, social, organizational, institutional and cultural proximity within university-industry joint laboratories and finally, what is the outcome of these interplays on collaborative innovation.

The study uses an exploratory multiple-case study approach. The results are derived from 53 in-depth, semistructured interviews with laboratory directors and representatives from both the company and the university within 8 joint laboratories of Telecom Italia (TIM). The data collection was carried out in 2014 and 2015. The analysis follows a multi-grounded theory approach and relies on a mix of deductive and inductive reasoning with the final goal of theoretical elaboration.

This study finds the role of social and cultural proximity at the individual level as a result of geographical proximity as an enabler of collaborative innovation by triggering mutual learning, trust formation and frequent interactions. Cognitive proximity at the interface level could systematically influence collaborative innovation, while organizational and institutional proximity has marginal roles in facilitating collaborative innovation. The qualitative analysis offers a conceptual framework for proximity dimensions and collaborative innovation within university-industry joint laboratories.

The framework not only advances state-of-the-art university-industry collaboration and proximity dimension but also offers guidance for managers in designing collaborative innovation settings between university and industry.

With this study, the paper advances the understanding beyond solely the relationship between proximity and collaboration and shed light on the interplay between geographical proximity and other proximity dimensions in this context, which has received limited scholarly attention.

The purpose of this paper is to analyse if and how technology districts use proximity dimensions (such as geographical, organizational, and cognitive) as a communication resource for accessing external knowledge sources.

To achieve this purpose, the organizational and cognitive links between technology districts' actors and external ones are identified and then the new geographical boundaries of the districts are drawn. A case study related to an Italian technology district (Torino Wireless) is provided in order to identify how different research organizations located in the district use proximity dimensions for reaching knowledge sources external to the district, then re‐shaping its geographical boundaries.

The empirical study enables identification of the actors connected to the technology districts by means of geographical, organizational, and cognitive proximity, and their locations. Moreover, results show that organizational proximity is mainly adopted to link actors located near the district area. While, cognitive proximity is mainly adopted to connect actors geographically distant from the district.

As regards technology district strategic behaviour, it seems particularly crucial to exploit all the three dimensions of proximity. In particular, the technology district of Torino Wireless should increase its use of organizational proximity to be connected with external knowledge sources.

The paper proposes a methodology for identifying the external actors connected with the technology districts by means of proximity. Furthermore, the relationships between organizational and geographical proximity, and cognitive and geographical proximity are also investigated.

This study aims to investigate the impacts of geographical proximity on social capital development through the inter-relationship between three social capital dimensions (structural, relational and cognitive dimension) and the knowledge sharing between small- and medium-sized enterprises (SMEs). The authors empirically test a main hypothesis that the mechanism of social capital development that subsequently results in tacit knowledge sharing is different for SME buyer-supplier partners across their different geographical distances.

Multiple-group analysis in structural equation modeling (SEM) was conducted to test the research hypotheses using data collected from approximately 200 SMEs in Thailand’s food industry.

At a great geographical distance, the structural dimension impacts the cognitive dimension only in an indirect way through a relational dimension, which subsequently leads to knowledge sharing between SME buyer-supplier partners. At close geographical proximity, while the indirect impact of structural dimension on cognitive dimension through a relational dimension is still presented as it is in a great geographical distance, structural dimension has a positive and direct impact on the cognitive dimension as a complementary way to jointly reinforce knowledge sharing between SME partners. Among distant SME partners, the relational dimension shows a stronger impact on the cognitive dimension. In contrast, the direct influence of structural, relational and cognitive dimensions on knowledge sharing is identical, regardless of geographical distance.

The managers of SMEs can design their network-building approach in such a way that different location partners can enhance knowledge sharing. Policymakers could consider these results as a guideline when imposing SME development policies and geographical cluster policies in emerging economies.

This study provides empirical evidence that demonstrates how geographical proximity between SME partners in an emerging economy influences their social proximity through the lens of social capital development mechanism and thus leads to knowledge sharing between them.

The purpose of this paper is to advance the comprehension of the role that geographic proximity plays in relation to non-spatial proximity in the context of international university-industry knowledge transfer.

The paper is designed as a multiple-case study. It looks at selected instances of contract research at Tallinn University of Technology that represents a typical technical university in Central and Eastern Europe characterised by relatively short period of market economy and university-industry cooperation.

The results indicate that there emerge different configurations of proximity nationally and internationally. In case of domestic cooperation cognitive (education), organisational, social and institutional (institutional setting) proximity exist simultaneously with geographic proximity. International cooperation is characterised by lack of geographical proximity, but the existence of cognitive and social proximity indicating a substitution.

The research is limited to analysing instances of contract research and relations between spatial and non-spatial forms of proximity. Further research could consider the differences between various channels of knowledge transfer and address the relationship between non-spatial forms of proximity.

The paper contributes to the existing body of knowledge by using proximity dimensions operationalised at aggregate and individual levels to study the university knowledge network. It is proposed in this paper that attention has to be paid to distinguishing between organisational and individual levels of analysis and their differing results. Proximity at organisational level does not necessarily translate into proximity between individuals and vice versa.

The purpose of this paper is to address the strategies adopted by science-based start-ups to gain access to knowledge resources at diverse spatial levels. It investigates the presence and relative importance of ties endowed with different types of proximity in firms’ knowledge networks, and the role played by non-geographical proximity in gaining access to knowledge sources, both nearby and distant.

An analytical framework is proposed that distinguishes between two dimensions of proximity – geographical and relational – leading to different forms of proximity, which are further linked with modes of knowledge interaction (formal or informal). A methodology for network reconstruction is developed and applied to Portuguese molecular biology firms, permitting to identify the origin, location and nature of the ties and to position them along forms of proximity.

The results show that the incidence and mix of the different forms of proximity vary in firms’ individual networks, being possible to identify several patterns. They also uncover the relevance of relational proximity, whether or not coexisting with geographical proximity and often compensating for its absence.

This approach needs to be complemented with further research that refines the operationalization of relational proximity, by attempting to disentangle the influence of different types of non-geographical proximity. Further research will also explore in greater detail the factors that may explain variety in the proximity mix of firms’ networks.

The paper offers insights into the knowledge sourcing strategies adopted by science-based firms located outside the main concentrations of knowledge in their field.

The paper contributes to the literature on the role of proximity in knowledge access, by developing and empirically testing a taxonomy of forms of proximity, considering the characteristics of science-based firms. It uncovers the mechanisms through which relational proximity can contribute to span spatial boundaries, highlighting the role played by entrepreneurs’ personal networks.

The paper aims to investigate how proximity dimensions affect the establishment of different knowledge relationships between gatekeepers and other economic actors involved in their knowledge‐based networks.

The methodology is based on an inductive research approach, represented by the explorative case study of the Polytechnic University of Turin. The University's knowledge relationships are identified and distinguished through the analysis of its patent joint‐developments, citations, and R&D projects. Then, for each knowledge relationship, geographical, organizational, and technological proximity between the University and the other economic actors are assessed, adopting suitable proxies.

The data reveal that the University activates collaborative and exploitative relationships with actors characterized by geographical, organizational, and technological proximity. In contrast, collaborative and explorative relationships seem to require actors characterized by more distant technological competencies. Furthermore, the exchange of knowledge by means of non‐collaborative relationships occurs between the University and actors characterized only by technological proximity.

On the basis of this analysis, actors can identify which proximity dimensions assume an important role for activating knowledge flows with gatekeepers. Regarding policy implications, the paper highlights how policy makers should leverage proximities in order to favour and support the exchange of knowledge, hence improving the innovative capability, competitiveness, and attractiveness of regional areas.

This research contributes to shed further light on the nature of the relationships and knowledge flows exchanged by the gatekeepers. In particular, it analyzes how relational attributes can affect the knowledge transfer processes between economic actors.

This study analyzes the role of regional cooperative banks in identifying and financing small and medium-sized enterprises (SMEs) from a proximity perspective. Access to finance is a major challenge for SMEs. Regional cooperative banks can remove this barrier based on cooperative bank's characteristics and geographic proximity to SMEs. Understanding the interplay between these financial actors and firms can contribute to a better support of SMEs development.

The results are based on a case study of eight SMEs located in southwestern France. Interviews were conducted with two regional cooperative funds and eight SMEs. The interview guide included questions related to the company, the projects financed and how financing was accessed.

Results reveal that a combination of three forms of proximity allows regional cooperative banks and SMEs to establish effective financing operations. They show that regional cooperative banks are key players in the existing financing mechanisms for SMEs. Such financing is often used to gain access to larger players at a later stage. The findings suggest the need for public policies that promote the integration of financing actors in regional ecosystems to advance SMEs' development.

This article examines how SMEs access financing, with a focus on regional cooperative banks, which have received little attention in the literature. Moreover, the relationships between these actors are studied through the lens of proximity. Regional cooperative banks are able to finance projects that may have been overlooked by traditional banks due to trust-building local dynamics.