Rethinking clusters. Towards a new research agenda for cluster research

Lazzeretti, Luciana; Capone, Francesco; Caloffi, Annalisa; Sedita, Silvia Rita

doi:10.1080/09654313.2019.1650899

Cited by 45 publications

(36 citation statements)

References 119 publications

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“…This paper also largely responds to the call by Lazzeretti et al [83] to rethink clusters and move towards a new research agenda for cluster research. While our results indicate that the global geography of co-inventor networks and the evolution of such networks over time in tech fields such as smart cleantech are largely shaped by the presence of strong industrial clusters, co-inventor networks can overtime affect the development trajectories and performance of industrial clusters, because our analysis demonstrated that global connectedness plays a crucial role in cluster innovation, especially in such cutting edge fields as smart cleantech.…”

Section: Discussionmentioning

confidence: 72%

The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration

Turkina

Oreshkin²

2021

Sustainability

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We use patent big data and apply a combination of network analysis techniques to explore the social structure of the Montreal tech community and its embeddedness in the global innovation landscape. In particular, we focus on the smart cleantech segment. In doing so, we analyze the effect of inventor collaborations on innovations and the emergence of smart clean technologies and smart sustainable solutions in Montreal and their global impact. Our analysis reveals the importance of both local and international ties for the general development of innovations in Montreal’s competitive urban economy, with a stronger impact of international ties, in generating smart cleantech innovations. We discuss the implications of our findings for smart cleantech and cleantech clusters and for further development of tech agglomerations.

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Section: Discussionmentioning

confidence: 72%

The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration

Turkina

Oreshkin²

2021

Sustainability

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“…Recent literature started touching upon the possible contribution of clusters to the development of I4.0 by stressing the evolving clusters' role in modern economies (Lazzeretti et al, 2019) or claiming that radical innovations (and I4.0 is often portrayed as radical and disruptive change) can be facilitated in clusters (Grashof et al, 2019). As I4.0 would have profound impact on global value chains (GVC) and internationalisation processes (Strange and Zucchella, 2017;Alcácer et al, 2016; and as clusters are key components plugged into global networks and chains (Bettiol et al, 2019) the need of studying clusters' role in I4.0 should not be underestimated.…”

Section: Clustersmentioning

confidence: 99%

Cluster role in industry 4.0 – a pilot study from Germany

Götz

2020

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Purpose This paper aims to explore the nature of Industry 4.0 (I4.0) cluster, to establish and empirically verify in the pilot study the role of clusters in developing the fourth industrial revolution. It aims to find out if the cluster can provide a conducive knowledge environment fostering the advancement of I4.0; simplify the implementation of I4.0 by making it faster, easier, and cheaper and finally be applied as policy tool organising the development of I4.0. Design/methodology/approach This paper is based on the narrative literature review mapping the cluster’s nature with I4.0 features. It adopts the case study approach and uses simple statistical analysis to explore the basic characteristics of I4.0 clusters combined with a survey technique – short questionnaire organised in three major blocks. Findings Drawing on German pilot study it can be confirmed that clusters offer conducive environment facilitating the emergence, testing and development of I4.0 specific solutions. They provide favourable knowledge environment, simplify and increase the efficiency of the business processes and organise the policymaking in this area. Originality/value The results of presented pilot study rooted in Germany – a country seen as the front-runner in implementing the solutions of the fourth industrial revolution – can add a certain value to the emerging research on unearthed linkages between clusters and I4.0. This paper might be seen as a contribution to the emerging literature on the spatial dimension of I4.0. It expands previous research on cluster channels’ likely impact on I4.0.

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“…The literature [9] defined four major forms through the theory of economics and life cycle theory, establishes industry convergence, and forms a theoretical framework of dynamic evolution.The literature [10] believed that cultural tourism should be self-learning, which can promote personal improvement and promote economic development. The literature [11] used life cycle theory model deduction, emphasizing that technological innovation can define the boundary of industry convergence.The literature [12] took South Africa as the research object to point out that cultural creativity promotes the development of urban tourism. The literature [13] analyzed the industrial CBTI model based on the stakeholders of rural tourism benefits.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Industry Convergence Based on Improved Neural Network

2021

Preprint

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Economic growth in the information age is no longer a stage driven by unipolarity. It has entered a multi-polar driving stage characterized by integration, fusion, and integrated development on a larger scale between regions, and the trend of group competition with urban agglomerations as carriers has become increasingly obvious. This paper improves the neural network algorithm based on the needs of industrial economic integration in the digital age, and proposes an industry convergence analysis model based on the improved neural network algorithm. Moreover, this article combines industry models to analyze actual needs and constructs an industry convergence analysis model based on improved neural networks, and analyzes the integration of different industries. In addition, this article conducts experiments through multiple sets of data, and combines the neural network model of this article to conduct research. Through experimental research, we know that the model constructed in this paper can play an important role in the analysis of industry convergence.

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Rethinking clusters. Towards a new research agenda for cluster research

Cited by 45 publications

References 119 publications

The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration

The Impact of Co-Inventor Networks on Smart Cleantech Innovation: The Case of Montreal Agglomeration

Cluster role in industry 4.0 – a pilot study from Germany

Analysis of Industry Convergence Based on Improved Neural Network

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