The purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.
The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).
The study found that GFs prediction probability is low. In their second and third stages of evolution (initial growth and continuing growth), the gazelle growth effects appear. They are more effective in terms of profitability and turnover due to increasing sales and size.
This study shows that stakeholders should give preference to GFs that demonstrate long-term (steady) growth. Such firms are more efficient and financially stable than firms with high short-term growth.
The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.
