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Diffusion and Imitation of Growth Strategies in Firm Clusters M. Gabriela Contreras October 2010.

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Presentation on theme: "Diffusion and Imitation of Growth Strategies in Firm Clusters M. Gabriela Contreras October 2010."— Presentation transcript:

1 Diffusion and Imitation of Growth Strategies in Firm Clusters M. Gabriela Contreras October 2010

2 Outline Introduction Research Question Vocabulary Data & Methodology Expected Challenges Questions & Feedback

3 Introduction Rejuvenation of firm growth studies Beyond Gibrat's Law Existing literature focuses on factors (variables) driving firm growth. Focus on the how not the what

4 Introduction Firms are typically understood as profit maximizers However, firms may depart from this strategy and become “conformists.”  Imitation  Changing strategies when profts fall below a certain threshold

5 Hypotheses & Assumptions AI) Firms are not profit maximizers. A2)Firms have little information of the consumer demand function of their competitors HI) Firms imitate growth strategies of other firms within a cluster. HIa) Firms imitate growth strategies of well- performing firms within a cluster 

6 Vocabulary Firm- a small high- tech business with one or more branches. Cluster- a regional agglomeration of firms or firm heardquarters. Growth strategy- the method through which a firm decides to grow, such as an increase in number of FTEs, mergers & acquisitions. Well- performing strategy- a growth strategy that leads to a higher survival rate of a firm.

7 Data & Methodology Data & Scope Firm- level performance data for small high-tech firms in Silicon Valley, CA Number of employees Mergers and acquisitions Profits Sources Kauffman Database Bureau of Labor Statistics Small Business Advocacy

8 Data & Methodology Methodology Imitation of a growth strategy Bayesian Networks Causality of a firm engaging in a growth strategy Success of a growth strategy* Survival Analysis Model Censor on firm growth strategy Probability of “death” of a firm given a set of time- dependent covariates * First pass is to evaluate plain imitation behavior

9 Expected Challenges Data availability:  Kauffman data available for 3 years No geographical identifiers  LEEM Database is not accessible Best database out there! Cohort choice  Based on expected data availability  Geography- based clusters of industries

10 Questions for the Audience Data sources Methodology On-going related work?

11 Questions

12 Bibliography Beaudry, C., & Swann, G.M.P. (2009). Firm growth in industrial clusters of the United Kingdom. Small Business Economics, 32, 409-424. Bonaccorsi, A., & Giannangeli, S. (2010). One or more growth processes? Evidence from new Italian firms. Small Business Economics. Coad, A. & Rao R. (2008). Innovation and firm growth in high-tech sectors: A quantile regression approach. Research Policy, 37, 633-648. Stam, Erik. (2010). Growth Beyond Gibrat: firm Growth Processes and Strategies. Small Business Economics. 35, 129-135 Parker, S.C., Storey D.J, Van Wittelosstuijn A. (2010). What happens to gazelles? The importance of a dynamic management strategy. Small Business Economics. Wiklund, J., Patzelt, H., & Shepherd, D.A. (2009). Building an integrative model of small business growth. Small Business Economics. 32, 351-374.


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