High-tech gazelle firms at various stages of evolution: performance and distinctive features; Journal of Economic Studies; Vol. XX, iss. X

High-tech gazelle firms at various stages of evolution: performance and distinctive features; Journal of Economic Studies; Vol. XX, iss. X

Bibliographic Details
Parent link:Journal of Economic Studies
Vol. XX, iss. X.— 2022.— [22 р.]
Corporate Authors: Национальный исследовательский Томский политехнический университет Школа инженерного предпринимательства, Национальный исследовательский Томский политехнический университет Школа базовой инженерной подготовки Отделение социально-гуманитарных наук
Other Authors: Spitsin V. V. Vladislav Vladimirovich, Vukovic D. Darko, Mikhalchuk A. A. Aleksandr Alexandrovich, Spitsina (Spitsyna) L. Yu. Lubov Yurievna, Novoseltseva D. A. Darjya Andreevna
Summary:Title screen
Purpose: 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. Design/methodology/approach: The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015-2020). Findings: 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. Practical implications: 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. Originality/value: The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2022
Subjects:
электронный ресурс
труды учёных ТПУ
gazelle firms
high-tech industries
ANOVA
logistic regression
Russia
высокотехнологичные отрасли
дисперсионный анализ
логистическая регрессия
Россия
Online Access:https://doi.org/10.1108/JES-12-2021-0644
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=669267

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