Research output: Contribution to journal › Article › peer-review
High-tech gazelle firms at various stages of evolution: performance and distinctive features. / Spitsin, Vladislav; Vukovic, Darko ; Mikhalchuk, Aleksandr; Spitsina, Lubov; Novoseltseva, Darya.
In: Journal of Economic Studies, 05.2022.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - High-tech gazelle firms at various stages of evolution: performance and distinctive features
AU - Spitsin, Vladislav
AU - Vukovic, Darko
AU - Mikhalchuk, Aleksandr
AU - Spitsina, Lubov
AU - Novoseltseva, Darya
N1 - Spitsin, V. High-tech gazelle firms at various stages of evolution: performance and distinctive features / V. Spitsin, D. Vukovic, A. Mikhalchuk, L. Spitsina, D. Novoseltseva // Journal of Economic Studies. - 2022. - in print. - https://doi.org/10.1108/JES-12-2021-0644
PY - 2022/5
Y1 - 2022/5
N2 - PurposeThe purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.Design/methodology/approachThe study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).FindingsThe 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.Practical implicationsThis 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.Originality/valueThe present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.
AB - PurposeThe purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.Design/methodology/approachThe study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).FindingsThe 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.Practical implicationsThis 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.Originality/valueThe present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.
U2 - 10.1108/JES-12-2021-0644
DO - 10.1108/JES-12-2021-0644
M3 - Article
JO - Journal of Economic Studies
JF - Journal of Economic Studies
SN - 0144-3585
ER -
ID: 102029294