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Competitive Advantages through Clusters : An Empirical Study with Evidence from China / by Saša Šarić

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Strategisches Kompetenz-Management | SpringerLink BücherPublisher: Wiesbaden : Gabler Verlag, 2012Description: Online-Ressource (XXI, 236p. 48 illus, digital)ISBN:
  • 9783834935540
Subject(s): Genre/Form: Additional physical formats: 9783834935533 | Buchausg. u.d.T.: 9783834935533 | Erscheint auch als: Competitive advantages through clusters. Druck-Ausgabe Wiesbaden : Springer Gabler, 2012. XX, 234 S.DDC classification:
  • 658.421
  • 338.8/7 338.87
RVK: RVK: QG 860LOC classification:
  • HB615
DOI: DOI: 10.1007/978-3-8349-3554-0Online resources:
Contents:
Foreword; Acknowledgements; Outline; Contents; List of Figures; List of Tables; List of Abbreviations; 1 Introduction; 1.1 Scientific-Theoretical Positioning; 1.2 Outline of this Research; 2 Current State of Knowledge on how Clusters Enable Firms to Create Competitive Advantages; 2.1 Clusters - A Seemingly Chaotic Concept24; 2.2 Review of the Main Cluster Schools of Thought; 2.3 Towards a Meaningful Definition of Clusters; 2.4 The Effect of Clusters on Firm Performance; 2.5 Summary of Findings: The Baseline Model
3 Theoretical Model of Internal Characteristics to Create Competitive Advantages through Clusters3.1 Opportunity Exploration through Entrepreneurship in Clusters; 3.2 Advantage Exploitation through Strategic Management in Clusters; 3.3 Balancing Opportunity Exploration and Advantage Exploitation throughStrategic Entrepreneurship in Clusters; 3.4 Summary of Findings: The Theoretical Model; 4 Case Study to Identify Skills that make up a Firm's ClusterCapability; 4.1 Research Setting: China; 4.2 Research Location: China's Industrial Clusters; 4.3 Research Methodology: Case Study
4.4 Analysis of Data and Findings4.5 Summary of Findings: The Conceptual Model; 5 Empirical Analysis of the Internal Characteristics and their Influence on Firm Performance; 5.1 Research Methodology: Survey; 5.2 Data Analysis Methodology: Partial Least Squares; 5.3 Analysis of the Measurement Model; 5.4 Analysis of the Structural Model and Hypothesis Testing; 5.5 Discussion of the Results; 6 Recommendations for Implementing the Identified Internal Charac-teristics into Organizational Reality; 7 Conclusion; 7.1 Summary of Results; 7.2 Limitations; 7.3 Outlook on Further Research
List of ReferencesAppendix 1: Detailed outline of this research study; Appendix 2: Remaining Landscapes of regional cluster configurations
Summary: Current State of Knowledge on How Clusters Enable Firms to Create Competitive Advantages -- Theoretical Model of Internal Characteristics to Create Competitive Advantages Through Clusters -- Case Study to Indentify Skills that Make up a Firm's Cluster-Capability -- Empirical Analysis of the Internal Characteristics and their Influence on Firm Performance -- Recommendations for Implementing the Identified Internal Characteristics into Organizational RealitySummary: How do firms create competitive advantages through clusters? To show what successful cluster-firms are made up of, Saša Šarić makes use of a rigorous exploratory approach combining a thorough theory review with insights gained from two empirical studies conducted in China. His findings suggest that successful cluster-firms use their Entrepreneurial Orientation to seek out promising new opportunities and exploit their value generating potential through a dedicated Cluster-Capability. Both strategic elements are implemented through high decentralization of decision authority and low task formalization thus requiring highly skilled personnel and entrepreneurial leaders. With his research, the author gives an answer on how firms create competitive advantages through the clusters they are located in. This serves as an important orientation for executives, authorities, and other stakeholders who are interested in making the most out of their local economic environmentPPN: PPN: 1651400172Package identifier: Produktsigel: ZDB-2-SBE
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