Structure and resilience of local knowledge networks: the case of the ICT network in Trentino

Tsouri, Maria; Pegoretti, Giovanni

doi:10.1080/13662716.2020.1775070

Cited by 27 publications

(12 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A key difference for RSNs, however, is that the firms involved are rarely co-located around shared interests and that government initiatives like RSNs are not needed where firms cluster naturally. Research has indicated that formations of firms for regional development need a natural central firm or hub (Tsouri and Pegoretti, 2021), thus rather emphasising naturally established networks. The literature has suggested that RSN members rarely collaborate beyond formalised socialising (Chiu, 2009; Delgado et al , 2014), RSNs are therefore ineffective (Saha et al , 2018) or only lead to commercial exchanges while support is given (Graf and Broekel, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Mechanisms of knowledge development in a knowledge ecosystem

Öberg

Lundberg²

2022

JKM

View full text Add to dashboard Cite

Purpose Although ecosystems have been researched extensively over the past decade, we know little about how they should be organised. Focusing on a knowledge ecosystem comprising a university and a regional strategic network (RSN), this paper aims to describe and discuss the mechanisms for knowledge development in knowledge ecosystems. Design/methodology/approach This paper studies the integration of a university into a Swedish RSN. Data were collected through interviews with representatives of the university, the RSN and all firms comprising the RSN. A qualitative content analysis helped to detect mechanisms for knowledge development. Findings Two reinforcing mechanisms for knowledge development in the knowledge ecosystem are identified: structure and openness, which relate to insight and outlook, respectively. The findings also indicate a knowledge division, with the university representing the transfer of knowledge capabilities as a linear process, whereas the content-related knowledge is collaborative. Originality/value This paper contributes to research on knowledge ecosystems by describing how their organisation is based on a number of contradictions (structure and openness, insight and outlook, linearity and collaboration) to accomplish the development of knowledge capabilities and content-related knowledge.

show abstract

Section: Theoretical Backgroundmentioning

confidence: 99%

Mechanisms of knowledge development in a knowledge ecosystem

Öberg

Lundberg²

2022

JKM

View full text Add to dashboard Cite

show abstract

“…Despite the evidence of dense relational networks within the cluster, these were not significant for the model. The lack of relationship between the relational properties of the network and the economic performance of the wineries can be explained by the high redundancy of knowledge existing within the network (Expósito-Langa and Molina-Morales 2010; Martin and Sunley 2015; Pinkse, Vernay, and D’Ippolito 2018), originating from the high efficiency in which knowledge is transmitted within the network (Tsouri and Pegoretti 2020). Notably, Nooteboom (2000) demonstrated that the benefits of the cluster and the cognitive proximity of knowledge follow a bell curve.…”

Section: Discussionmentioning

confidence: 99%

“…Regional resilience is directly related to the system’s ability to exploit new knowledge sources and depends on the relational properties of the knowledge networks (Boschma 2015; Crespo, Suire, and Vicente 2014). As firms have different levels of knowledge, new knowledge and local learning depend on the combination of different knowledge present in inter-organizational networks (Boschma 2015; Tsouri and Pegoretti 2020). Relational aspects refer to the social elements that influence the transmission of knowledge between firms.…”

Section: Regional Economic Resiliencementioning

confidence: 99%

The Influence of Regional Resilience Elements on the Performance of Clustered Firms

Schmidt

Zen

Bittencourt

2022

International Regional Science Review

View full text Add to dashboard Cite

Regional economic resilience is a term used to describe the ability of economic systems to withstand, recover from, and adapt to different economic and technological shocks. The literature argues that clustered firms perform better than isolated firms in regional economic systems. This study aims to analyze the influence of regional resilience elements on the performance of firms in a cluster. Therefore, we surveyed 194 wineries in the Wine Cluster of the Serra Gaúcha (WCSG) in Brazil. We confirmed a positive and significant linear relationship among economic specialization, international relations, technological heterogeneity, and public policies. The case of the WCSG highlights the adaptation process as a source of economic resilience. After facing several shocks in its territory, the cluster was able to organize itself, recombining different knowledge sources to explore new economic paths. This study contributes to the theoretical and managerial fields by discussing resilience along the cluster’s trajectory.

show abstract

“…Popular actors are important for knowledge transfer and the evolution of technologies because they can act as intermediaries (Martin, 2013, Tsouri andPegoretti, 2020). They accumulate knowledge over time due to their privileged position in the knowledge network and consequently their role becomes central to the evolution of a technology (Autant-Bernard et al, 2014, Wanzenboeck et al, 2014.…”

Section: Status (Popularity)mentioning

confidence: 99%

Knowledge recombination for emerging technological innovations: The case of green shipping

et al. 2022

Self Cite

View full text Add to dashboard Cite

The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007-2018. The authors build hypotheses to investigate whether important mechanisms for the evolution of single technology networks, embeddedness, proximity, and status apply across technological fields. By employing dynamic social network analysis models, they found that actors transferred knowledge across technological fields through (re)combination mechanisms, which affected the emergence of the new technological field, but in different ways. While embeddedness played an important role, status and geographical proximity were less important.

show abstract

Structure and resilience of local knowledge networks: the case of the ICT network in Trentino

Cited by 27 publications

References 48 publications

Mechanisms of knowledge development in a knowledge ecosystem

Mechanisms of knowledge development in a knowledge ecosystem

The Influence of Regional Resilience Elements on the Performance of Clustered Firms

Knowledge recombination for emerging technological innovations: The case of green shipping

Contact Info

Product

Resources

About