MTU Cork Library Catalogue

Incorporating network theory and visualisation into cluster analysis ; a hybrid methodology applied to European ICT clusters / Eoin M. Byrne.

By: Byrne, Eoin M [author.].
Material type: materialTypeLabelBookSeries: Ph.D. - Management and Enterprise.Publisher: Cork : Cork Institute of Technology, 2016Description: xiv, 292 pages : illustrations, maps, tables ; 30 cm.Content type: text Media type: unmediated Carrier type: volumeSubject(s): Industrial clusters | Business networks | Cluster analysisDDC classification: THESES PRESS Dissertation note: Thesis (Ph.D.) - Cork Institute of Technology, 2016. Summary: "Industry clusters (Porter 1990 ; 1988a) have been the focus of numerous studies, economic strategies and policy globally (Ketels et al., 2013). Cluster analysis has focused on identifying and mapping clusters yet ther is a need to develop a deeper understanding of how clusters operate and to visualise cluster ecosysems. Linkages and networks are a key component of clusters and thus, network theory has the potential to enrich the literature and analysis of clusters. This research addresses three objectives :- 1. Review cluster theory and analysis techniques to investigate the potential to apply network theory and visualisation to cluster analysis. 2. Develop a cluster analysis methodology to assess and visualise a cluster ecosystems. 3. Apply the cluster analysis methodology developed in this research to analyse clusters at different stages of maturity. Hobbs' (2010) 'Four i Linkage Scale,' network theory and visualisation techniques are combined to develop a hybrid methodology for cluster analysis, named V-LINC. The research applies V-LINC to investigate three ICT Clusters across Europe (Cork, Ireland; Île-de-France, France; and Slovenia). A sample of firms in each cluster were interviewed to record, visualise and analyse their linkages which when combined showcase their cluster ecosystems. Targeted policy recommendations are proposed for each cluster. The findings of the research contribute to the understanding of how clusters at different stages of development operate. The application of V-LINC provides a consistent replicable methodology to visualise and analyse cluster ecosystems, whilst developing and reviewing cluster policy and initiatives". - (Author's abstract)
List(s) this item appears in: PhD Theses
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Reference MTU Bishopstown Library Thesis THESES PRESS (Browse shelf(Opens below)) 1 Reference 00191984
Total holds: 0

Thesis (Ph.D.) - Cork Institute of Technology, 2016.

Includes bibliographical references.

"Industry clusters (Porter 1990 ; 1988a) have been the focus of numerous studies, economic strategies and policy globally (Ketels et al., 2013). Cluster analysis has focused on identifying and mapping clusters yet ther is a need to develop a deeper understanding of how clusters operate and to visualise cluster ecosysems. Linkages and networks are a key component of clusters and thus, network theory has the potential to enrich the literature and analysis of clusters. This research addresses three objectives :- 1. Review cluster theory and analysis techniques to investigate the potential to apply network theory and visualisation to cluster analysis. 2. Develop a cluster analysis methodology to assess and visualise a cluster ecosystems. 3. Apply the cluster analysis methodology developed in this research to analyse clusters at different stages of maturity. Hobbs' (2010) 'Four i Linkage Scale,' network theory and visualisation techniques are combined to develop a hybrid methodology for cluster analysis, named V-LINC. The research applies V-LINC to investigate three ICT Clusters across Europe (Cork, Ireland; Île-de-France, France; and Slovenia). A sample of firms in each cluster were interviewed to record, visualise and analyse their linkages which when combined showcase their cluster ecosystems. Targeted policy recommendations are proposed for each cluster. The findings of the research contribute to the understanding of how clusters at different stages of development operate. The application of V-LINC provides a consistent replicable methodology to visualise and analyse cluster ecosystems, whilst developing and reviewing cluster policy and initiatives". - (Author's abstract)

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