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Regional cluster adoption: The role of transaction costs, resource characteristics, and technology

This workshop discusses the role of transaction costs, resource characteristics, and technology in the adoption of regional clusters. The study aims to identify factors relevant to the extent of cluster adoption by organizations and improve participation rates. The research includes interviews with cluster members and survey data from various clusters.

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Regional cluster adoption: The role of transaction costs, resource characteristics, and technology

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  1. OASIS Workshop December 2004 Regional cluster adoption: The role of transaction costs, resource characteristics, and technology Grant Castner University of Oregon Peter Green University of Queensland

  2. Overview • Background • Motivation • Research model • Research method • Results and conclusions

  3. Background • Clusters are “geographic concentrations of interconnected companies, specialized suppliers, service providers, firms in related industries, and associated institutions (e.g. universities, standards agencies, trade associations) in a particular field that compete but also cooperate” (Porter, 2000, p.16).

  4. Example – Study Cairns

  5. Background • Substantial government agency interest in cluster development. • SMEs looking for methods to develop their business. • Consulting projects on how to use e-commerce technologies for cluster development are prevalent.

  6. Motivation • Identify factors relevant to the extent of cluster adoption by organizations. • Reconcile factors from transaction cost economics and resource-based view of the firm. • Investigate relations amongst innovation diffusion factors. • Explore the role of technology in cluster adoption. • Improve participation and take-up rates of organizations into clusters.

  7. Compatibility Trialability Result demo. Visibility Complexity Specificity Relative advantage Adoption Frequency Technology Research model

  8. Research method • 12 semi-structured interviews with cluster members from five different clusters. • Shorter informal interviews were also conducted to provide further evidence. • Members were from both aborted and current clusters to increase validity. • All cluster members had participated in government initiatives to facilitate clusters. • Survey data was also collected from a wider range of clusters • The survey results are the subject of another paper.

  9. Results – aborted clusters • The magnitude of the score indicates the importance of the construct to the adoption decision. • The sign of the score indicates the presence (positive) or absence (negative) of a particular construct.

  10. Results – current clusters

  11. Case study results and conclusions

  12. Case study results and conclusions

  13. Case study results and conclusions

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