The cognitive and geographical structure of knowledge links and how they influence firms’ innovation performance

Broekel, Tom; Boschma, Ron

doi:10.15196/rs06201

Cited by 26 publications

(38 citation statements)

References 30 publications

(45 reference statements)

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“…By contrast, very few papers (e.g. Broekel and Boschma 2011;Aguiléra et al 2012) have so far used survey data to capture how the firms interpret their proximity to the partner in a more direct way. Very few studies (e.g.…”

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confidence: 99%

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Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks

Fitjar

Huber

Rodríguez‐Pose

2016

Industry and Innovation

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This paper analyses how the formation of collaboration networks affects firm-level innovation by applying the 'Goldilocks principle'. The 'Goldilocks principle' of optimal distance in innovation networks postulates that the best firm-level innovation results are achieved when the partners involved in the network are located at the 'right' distance, i.e. 'not too close and not too far' from one another, across non-geographical proximity dimensions. This principle is tested on a survey of 542 Norwegian firms conducted in 2013, containing information about firm-level innovation activities and key innovation partners. The results of the ordinal logit regression analysis substantiate the Goldilocks principle, as the most innovative firms are found amongst those that collaborate with partners at medium levels of proximity for all non-geographical dimensions. The analysis also underscores the importance of the presence of a substitution-innovation mechanism, with geographical distance problems being compensated by proximity in other dimensions as a driver of innovation, whilst there is no support for a potential overlap-innovation mechanism.

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confidence: 99%

“…4 It is useful to go beyond merely analysing average values of proximities and consider the distribution of proximities (Broekel and Boschma 2011). Table 2 shows the distribution across the sample of firms for each of the five dimensions of proximity.…”

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confidence: 99%

Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks

Fitjar

Huber

Rodríguez‐Pose

2016

Industry and Innovation

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“…Being embedded within a cluster allows firms to gain access to the regional knowledge stock and enables firms to seize opportunities, build social capital, and cultivate cluster advantage, which eventually helps improve firm performance and facilitates sustainable regional growth [21][22][23]. When embedded in knowledge networks, firms can enhance their innovation performance, especially when they link themselves with technologically related or similar firms [24,25]. Despite its benefits, however, one should not assume that every firm seeks or is able to seek active embeddedness.…”

Section: Literature Review and Analytical Frameworkmentioning

confidence: 99%

Industrial Clusters as Drivers of Sustainable Regional Economic Development? An Analysis of an Automotive Cluster from the Perspective of Firms’ Role

et al. 2020

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This paper examined the relationships among firms in a rapidly growing specialized industrial cluster—the Chery automotive cluster located in the Wuhu Economic and Technology Development in eastern China. After demonstrating how the Chery automotive cluster contributed to sustainable regional economic development, it focused on defining the roles that major firms play in the localized production network. Based on three attributes of the firm (network linkages, network position, and network power), the study identified a typology of firms’ role, including the dominant core, lead firms, gatekeepers, intermediaries, club of foreigners, peripherals, and loners. By revealing the heterogeneity of the firms and discussing the differing roles they play in the network, the paper made some policy recommendations to promote the sustainable development of the cluster, including providing policy supports to core firms, encouraging inter-firm networking and interaction, and diversifying the cohort of gatekeepers.

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“…Among the success factors of clusters, geographical proximity is considered to play a decisive role, with cognitive proximity having great importance as well. Cognitive proximity supports knowledge transfer activities and the creation of an innovation milieu (Boschma 2005, Broekel-Boschma 2016.…”

Section: Literature Reviewmentioning

confidence: 99%

New trends in the development of Hungarian clusters: The case of the Southern Great Plain region

Berkecz-Kovács¹

2018

Reg. Stat.

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The cognitive and geographical structure of knowledge links and how they influence firms’ innovation performance

Cited by 26 publications

References 30 publications

Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks

Not too close, not too far: testing the Goldilocks principle of ‘optimal’ distance in innovation networks

Industrial Clusters as Drivers of Sustainable Regional Economic Development? An Analysis of an Automotive Cluster from the Perspective of Firms’ Role

New trends in the development of Hungarian clusters: The case of the Southern Great Plain region

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