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The purpose of this paper is to focus on the science park (SP) “physical” location and the innovation cluster (IC) “virtual” location, and aims at investigating: the motivations driving firms to settle in these two agglomerations; the main problems firms, belonging to the two structures, face in their growth process; similarities and differences between a “physical” and a “virtual” location; which forms of proximity (geographical, relational, social, cognitive, organizational, and institutional) play a role within the SP and the IC.

A literature review on proximity is followed by an investigation of the Bioindustry Park and the IC BioPmed in Piedmont region in Italy, through a structured questionnaire, sent between February and March 2002, to firms co-located in the park and/or member of the cluster.

From the analysis did emerge that the physical location in the park and the virtual location in the cluster might be complements rather than substitutes.

Shortcomings like the limited number of companies interviewed, and the absence of a sample of companies exclusively co-located in the park, are observable. Additional research might corroborate the results, which are specifically valid for the two case studies.

The idea of understanding differences and similarities between the SP and the IC, and of investigating which proximity typologies play a role in a “physical” and in a “virtual” location, may be useful to design future policy strategies.

The originality of this paper is given by the analysis of a new phenomenon: physical and virtual agglomeration typologies, characterized by several forms of proximity enhancing knowledge diffusion.

The purpose of this study was to explore possible types of brand proximity based on respective psychological causal antecedents, and also to uncover possible marking outcomes of brand proximity.

Data were collected from young adult respondents through semi-structured depth interviewing. The data were coded using a grounded theory method to interpret causal relationships between concepts.

Data coding resulted in a causal process model showing various psychological factors that would predict various brand proximity types, and also various attitudinal outcomes of brand proximity. Important emerging market context-specific findings are that the majority of Asian consumers feel emotionally close to developed foreign country originated brands, and that they use brands as a means to escape from various stress factors present in their daily lives.

A value of the study lies in exploring the contemporary types of psychological brand proximity and associated factors in the domain of consumer-brand relationship for the first time among Asian young adults.

The purpose of this paper is to investigate the impact of the different drivers of the establishment of innovation relationships in an aerospace cluster. In particular, the work investigates the impact of the various forms of proximity in the formation of inter-organisational collaborations for innovation.

The analysis is based on primary data collected through interviews and questionnaires on innovation collaborations, administered to all the firms operating in the aerospace cluster in Tuscany. The work applies social network analysis and Exponential Random Graph Models to analyse the forces that drive inter-organisational collaborations for innovation.

Results confirm the importance of geographical proximity in the formation of ties in the cluster, but social proximity is one of the main drivers for tie formation. Reciprocity shows that companies develop innovations in a reciprocal way and that most relationships are bidirectional. Triadic closure is also relevant, where the role played by trust and previous relationships is evident. Finally, hierarchy network processes are underlined, where the most central actors of the network are the most popular confirming a processes of preferential attachment. The central organisations gradually are more important, whereas the marginal ones are left in the periphery.

The work presents some novelties. First, it measures the different impacts of the various forms of proximity together with more advanced measures of network analysis. It allows pointing out the relevance of a firm’s network position in clusters and the fact that clusters assume hierarchical structures similar to centre-periphery networks, where most relevant nodes are in the inner core and marginal organisations are relegated.

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.

The purpose of this paper is to extend current discussion on the drivers of innovative work behavior (IWB) by exploring how individual perceived diversities (visible dissimilarity and cognitive group diversity) and climates (team/clan and innovative/entrepreneurial) impact IWB.

Data had been collected from a cross-national study of working professionals (n = 584) from five different cultural contexts.

Findings of this study indicated that cognitive group diversity mediated the negative relationship between visible dissimilarity and IWB. Further, both innovative/entrepreneurial and team/clan climates moderated the relationship between visible dissimilarity and cognitive group diversity. Such a moderation effect reduced the negative effect that visible dissimilarity had on IWB.

A cross-sectional single-source data set.

From a managerial perspective, climates (team/clan and innovative/entrepreneurial) are central for IWB in the diverse (visible and cognitive) working environment. Thus, organizations should pay attention to create a climate (team/clan or/and innovative/entrepreneurial) that reduces the negative impact of perceived diversity in the working environment while supporting IWB.

This study is the first of its kind that is based on social categorization theory, empirically examining how different types of diversity (visible dissimilarity and cognitive group diversity) simultaneously reduce individuals’ IWB. Furthermore, this paper provides insights that climates (team/clan and innovative/entrepreneurial) are crucial for IWB in the diverse working environment.

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.

Smart industry initiatives focus on intelligent and interconnected cyber-physical systems. These initiatives develop complex technical architectures that integrate heterogenous technologies, causing significant organizational complexity. Tapping into the digital capabilities of distant partners while capturing profit from such innovation is demanding. Furthermore, firms often need to establish and orchestrate inter-organizational collaborations without prior relations or established trust. As a result, smart industry initiatives bring together disparate organizational forms and institutional environments, distinctive knowledge bases, and geographically dispersed organizations. We conceptualize this organizational capability as ‘distant capabilities integration’. This research explores the governance mechanisms that support such integration and their relation to value capture. We analyse 11 IoT case studies organized in three categories (process, product and technologies) of smart industry initiatives. Building on existing literature, we consider different ways to describe distance, including knowledge heterogeneity and organizational, geographical, institutional, cultural and cognitive distance. Finally, we describe the governance mode appropriate for upstream (developing foundational technologies) and downstream (leveraging existing distant technologies) smart industry initiatives.

This paper aims to advance the understanding regarding the profiting of collaborative innovation practices, focusing particularly on how the intensity of collaboration along the innovation process and the relatedness between the partners’ technological bases affect the outcomes of such process in terms of efficiency and generation of technological innovations.

Drawing on the results from causal models and the estimation of average marginal effects, this research analyses the direct and joint effect of technological proximity and intensity of collaboration in the early and late phases of the process.

The findings suggest that there is a positive unconditional relationship between the aforementioned aspects and innovative performance and that the joint effects diverge depending on the stage of the process, i.e. while in the early phase collaborating intensely with close partners seems to be advisable, this circumstance proves to be problematic in the late phase of the innovation process.

The analysis developed provides clarity regarding relevant aspects of collaborative innovation practices, particularly, the search for and selection of optimal partners. In general terms, the evidence found here suggests seeking for collaborating intensely along the whole process with partners whose technological bases present a tight matchup with that of the focal firm. Results also call for awareness of the potential drawbacks derived from intense collaborations with close partners in the late phases of the process, thus hinting toward the convenience of developing protection mechanisms. In addition, this work provides interesting insights that challenge the notion of “proximity paradox” and set out further questions that might be worth considering for future research.

Sustainable purchasing and supply management (SPSM) is a lever of sustainable development for companies and remains an interesting research issue that can be analysed from various perspectives. By considering the polymorphic concept of proximity as a theoretical support, this research studies the buyer–supplier dyad and aims to answer the following question. How does the diversity of buyer–supplier dyad relationships influence the SPSM of direct and indirect purchases within a manufacturing company?

The authors used a qualitative approach founded on a matrix analysis to describe buyer–supplier relationships through the prism of the proximity concept. The field of study consists in a single case with embedded units including a manufacturing company and a sample of 13 suppliers of direct and indirect purchases.

The research reveals diverse combinations of proximities that characterise relationships between a buyer and suppliers of several purchasing categories. This diversity of relational contexts influences SPSM in different ways. The authors highlight three SPSM approaches labelled contractual, relational and embedded and describe practices carried out with suppliers as part of the different relational profiles.

The research is developed in a single perspective. To ensure that it can be generalised, it should be applied in other contexts supported by new case studies.

The research provides practitioners with guidelines on building successful buyer–supplier partnerships in a sustainable view. The authors’ findings aid managerial decision-making by validating the necessity of adapting SPSM depending on buyer–supplier relational situations.

This paper offers an original study angle on buyer–supplier relationships based on a proximity analysis. The authors’ research confirms the variety of sustainable purchasing relationships underlined by the literature and can advance the portfolio approach to sustainable purchasing.

The purpose of this study is to explore the definition of local food through the concept of perceived proximity in order to improve the understanding of food locality and to propose a new framework for analysis.

The paper presents an exploratory research through 32 semi-structured interviews with six agri-food industry stakeholders carried out in Quebec, Canada. Thematic analysis is used to identify the main dimensions of the proximity of a local food. A conceptual framework based on the results is presented.

The results suggest that local food can be defined according to nine dimensions of proximity: geographic, process, price, identity, relational, functional, cultural, access and experiential.

This study allows the concept of local food to be broken down into a constellation of perceived proximities and expands the understanding of the differences in the perception of food locality.