- Title
- Measuring relationships within a fine art cluster under conditions of dislocation
- Creator
- Giblin, Deidre
- Date
- 2005
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34923
- Identifier
- vital:1371
- Abstract
- Business relationships and activities will be mapped to establish the functional characteristics of the fine art industry cluster of which the National Gallery of Victoria (NGV) has long been the dominant figure. Many of the core activities of the NGV have been severely disrupted between 1999 and 2003 due to refurbishment. This circumstance has made it possible to examine and determine the effects of dislocation of the dominant member on the way a cluster functions. This research will provide information on how fine arts businesses, including some that are competitors, interrelate, and how and to what extent a previously dominant member can reinstate its position after a period of dislocation. This research project employs a longitudinal design so that cluster functioning and level of innovation can be compared before, during, and after disruption of the NGV’s core activities. This circumstance provides a unique opportunity to identify groups of firms with similar innovation patterns and consequent strategic types (personality), test conflicting expectations arising from alliance capitalism and market capitalism models and to examine the assumption that the strategic type (personality) of the cluster, to which a firm belongs, has a bearing on the innovative status of the cluster and its consequent adaptability to change in turbulent environments.; E1
- Publisher
- Ballarat, Australia : Centre for Regional innovation and competitiveness
- Relation
- Paper presented at the CRIC Cluster Conference 2005, Ballarat, Australia : 30th June - July 1st, 2006
- Rights
- Open Access
- Rights
- Copyright Unknown
- Rights
- This metadata is freely available under a CCO license
- Subject
- Dislocation; Innovation; Inter-relationships; Cluster; Measurement
- Full Text
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