From 'industrial districts' to 'knowledge clusters': a model of knowledge dissemination and competitive advantage in industrial agglomerations

Pinch, Steven; Henry, Nick; Jenkins, Mark; Tallman, Stephen

doi:10.1093/jeg/lbg019

Cited by 221 publications

(150 citation statements)

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“…Typically, non-spatial proximity is conceptualised in terms of the similarities between agents based on: shared knowledge bases or skills (cognitive proximity); shared methods and procedures (organisational proximity); shared relationships (social proximity); and shared culture (institutional proximity) (Aguilera et al 2012). In addition, the importance of epistemic communities has also been highlighted as an important determinant of collaborative links (Cowan et al 2000) as well as shared codebooks (Pinch et al 2003;Henry & Pinch 2001). …”

Section: Organisational Proximitymentioning

confidence: 99%

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

Johnston

Huggins

2015

Regional Studies

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The process of establishing collaborative links with university partners is potentially accompanied by uncertainties with respect to both the process and expected outputs. Partner selection is a difficult task influenced by a multitude of factors including location, geographic distance, compatibility of interests, shared understanding and prior experience of collaboration. Drawing on an analysis of Knowledge Intensive Business Service Firms (KIBS) firms located in predominantly rural districts of the UK, this paper examines the influences on partner selection when developing university links through knowledge transfer partnerships. The main focus of the paper is the extent to which geographic and organisational proximity influence the choice of university partner. The paper examines rural KIBS firms, which are generally less likely to be in close geographic proximity to a university. In the case of these firms, organisational proximity potentially has a strong role to play in partner selection. Indeed, the empirical analysis finds that both geographic and organisational proximity are significantly associated with partner choice, indicating that the formation of university-industry links are not only the result of locational factors, but also prior experience of collaboration. The findings indicate that partner choice is a complex process influenced by both geographic and organisational proximity, alongside university research prowess. The paper concludes by considering the policy implications of these findings and possible avenues for future research in this area

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Section: Organisational Proximitymentioning

confidence: 99%

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

Johnston

Huggins

2015

Regional Studies

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“…It may be assumed that clusters' knowledge stock differences may work as isolating mechanisms in the process of knowledge diffusion between clusters (Pinch et al, 2003). This idea is confirmed in Jenkins and Tallman (2010) due to the differing cluster repository of knowledge.…”

Section: Knowledge Distance In Clustersmentioning

confidence: 88%

The Economic Geography of the Meso-global Spaces: Integrating Multinationals and Clusters at the Local–Global Level

Hervás-Oliver

Doménech

2013

European Planning Studies

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“…The binary perspective positioning tacit knowledge as operating at the 'local' versus explicit knowledge at the 'global' scale has not escaped criticism (Gertler, 2003;Pinch et al, 2003). The mediation between the two types of knowledge across industries and individual firms is, it is suggested, far more complicated.…”

Section: Overcoming a Binary View Of Knowledgementioning

confidence: 99%

“…Pinch et al (2003) usefully contribute to this literature by making a distinction between knowledge that operates at the different levels and spatial scales of the firm.…”

Section: Overcoming a Binary View Of Knowledgementioning

confidence: 99%

Managing communities and managing knowledge: strategic decision making and store network investment within retail multinationals

Wood

Reynolds

2011

Journal of Economic Geography

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The manner in which knowledge is spatially generated, reproduced and diffused is of interest to students of economic geography and business management alike. This paper seeks to contribute to these debates by drawing on the results of a year-long study with analysts working in location-planning departments of multinational retailers to determine: a) how different types of knowledge are mediated within organisational contexts to inform store development; and b) the extent to which analysis can be successfully formalised into "best practice". We find that while quantitative models of sales forecasting have become established, analysis on a dayto-day basis sees judgements made by analyst "communities" without perfect data, as experience and intuitive insights contribute to corporate decision-making. Furthermore, a number of communities-of-practice across the retail firm, consisting of actors with different backgrounds and agendas, contribute to outcomes. Understanding the power relations embedded within (and across) these communities is essential to conceptualise the store expansion process.

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From 'industrial districts' to 'knowledge clusters': a model of knowledge dissemination and competitive advantage in industrial agglomerations

Cited by 221 publications

References 1 publication

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

Drivers of University–Industry Links: The Case of Knowledge-Intensive Business Service Firms in Rural Locations

The Economic Geography of the Meso-global Spaces: Integrating Multinationals and Clusters at the Local–Global Level

Managing communities and managing knowledge: strategic decision making and store network investment within retail multinationals

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