Although a seemingly intuitive concept, the identification of clusters involves a number of complexities linked to (1) the cluster definition (the industry boundaries) and (2) the spatial determination of clusters. Over the last 20 years, researchers have proposed a range of methods to address both aspects. The choice of cluster identification method will depend on the policy question, geographical context, type of industries under investigation and, importantly, data availability. A combination of Delgado’s et al. (2016) cluster definition method and Feser’s et al. (2005) method for identifying geographical concentrations would usefully inform many policy contexts
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Abstract: Clustering is the assignment of data objects (records) into groups (called clusters) so th...
At the turn of the twenty-first century, scholars around the globe have breathed new life into the c...
Although a seemingly intuitive concept, the identification of clusters involves a number of complex...
Research summary: This paper advances strategic management research by taking a close look at the re...
The cluster (cluster group) identification methodology according to Porter includes some successive ...
The global economy has changed economic strategies both for private and public entities. It is likel...
In recent years there has been a growing interest in the role of networks and clusters in the global...
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained...
The article addresses the actual problem of ambiguity in the methods of cluster identification and m...
In recent years there has been a growing interest in the role of networks and clusters in the global...
This paper observes that the existing definitions of clusters can be grouped under two categories: i...
Includes bibliographical references and index.The rise of the cluster concept in regional analysis a...
Cluster study or clustering is the assignment of assigning a set of data into groups called clusters...
Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand an...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Abstract: Clustering is the assignment of data objects (records) into groups (called clusters) so th...
At the turn of the twenty-first century, scholars around the globe have breathed new life into the c...
Although a seemingly intuitive concept, the identification of clusters involves a number of complex...
Research summary: This paper advances strategic management research by taking a close look at the re...
The cluster (cluster group) identification methodology according to Porter includes some successive ...
The global economy has changed economic strategies both for private and public entities. It is likel...
In recent years there has been a growing interest in the role of networks and clusters in the global...
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained...
The article addresses the actual problem of ambiguity in the methods of cluster identification and m...
In recent years there has been a growing interest in the role of networks and clusters in the global...
This paper observes that the existing definitions of clusters can be grouped under two categories: i...
Includes bibliographical references and index.The rise of the cluster concept in regional analysis a...
Cluster study or clustering is the assignment of assigning a set of data into groups called clusters...
Clusters are geographic concentrations of industries related by knowledge, skills, inputs, demand an...
Cluster analysis is highly advantageous as it provides “relatively distinct” (or heterogeneous) clu...
Abstract: Clustering is the assignment of data objects (records) into groups (called clusters) so th...
At the turn of the twenty-first century, scholars around the globe have breathed new life into the c...