Population genetics of African Fruit Bats involved in ecology of Filoviridae (Ebola virus, Marburg virus) in West, Central and Southern Africa

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Empirical Taxonomy of Start-Up Firms Growth Trajectories

This article provides a method that can accommodate, in a systematic way, the analysis of new firm growth trajectories. Exploiting longitudinal data of 741 promising firms, we used a multiple indicator measure of growth, financial and productivity performance as well as firm demographic profile, as a foundation of a multidimensional construct of firm development process. In addition to graphical approach, cluster analysis based on State Sequences Analysis is developed from a combination of Principal Component Analysis and Markov Chain Model to drive taxonomy of new firm growth trajectories. Findings show that new firm growth trajectories are nor linear neither a random phenomenon. While the strategy of growth of promising firm are very heterogeneous, our approach allows us to develop a typology of growth paths based on four states of which three are stable

The Growth Trajectories of Start-Up Firms: An Exploratory Study

In line with the work of Delmar and Davidsson, (1998) which examines the types of distinct growth patterns that high-growth firms exhibit and how these growth patterns and corresponding firms differ from each other in terms of their demographic affiliation, this paper discusses the existence of different growth trajectories of start-ups. Using financial data from all firms created from 1992 to 2002 in Belgium (N=152064), we identified all those that had grown in less than 10 years above micro-firm level. We developed a data set (N=741) and used Principal Component Analysis (PCA) to identify emerging clusters of trajectories. Overcoming the limitations of the existing literature identified by Delmar et al (2003), the contribution of this research is that it combines going beyond traditional sector-based approaches and using a composite, multi-indicator measure of growth

The Growth Trajectories Of Start-Up Firms:

this paper discusses the existence of different growth trajectories of start-ups. Using financial data from all firms created from 1992 to 2002 in Belgium (N=152064), we identified all those that had grown in less than 10 years above micro-firm level. We developed a data set (N=741) and used Principal Component Analysis (PCA) to identify emerging clusters of trajectories. Overcoming the limitations of the existing literature identified by Delmar et al (2003), the contribution of this research is that it combines going beyond traditional sector-based approaches and using a composite, multi-indicator measure of growt