Topic-based classification and identification of global trends for startup companies
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Topic-based classification and identification of global trends for startup companies
|
|
| Автор |
Savin, I.
Chukavina, K. Pushkarev, A. |
|
| Тематика |
CRUNCHBASE
ENTREPRENEURSHIP INVESTMENTS MACHINE LEARNING NATURAL LANGUAGE PROCESSING |
|
| Описание |
To foresee global economic trends, one needs to understand the present startup companies that soon may become new market leaders. In this paper, we explore textual descriptions of more than 250 thousand startups in the Crunchbase database. We analyze the 2009–2019 period by using topic modeling. We propose a novel classification of startup companies free from expert bias that contains 38 topics and quantifies the weight of each of these topics for all the startups. Taking the year of establishment and geographical location of the startups into account, we measure which topics were increasing or decreasing their share over time, and which of them were predominantly present in Europe, North America, or other regions. We find that the share of startups focused on data analytics, social platforms, and financial transfers, and time management has risen, while an opposite trend is observed for mobile gaming, online news, and online social networks as well as legal and professional services. We also identify strong regional differences in topic distribution, suggesting certain concentration of the startups. For example, sustainable agriculture is presented stronger in South America and Africa, while pharmaceutics, in North America and Europe. Furthermore, we explore which pairs of topics tend to co-occur more often together, quantify how multisectoral the startups are, and which startup classes attract more investments. Finally, we compare our classification to the one existing in the Crunchbase database, demonstrating how we improve it. © 2022, The Author(s).
Russian Science Foundation, RSF: 19–18-00262 Open Access Funding provided by Universitat Autonoma de Barcelona. Ivan Savin and Andrey Pushkarev acknowledge support from the Russian Science Foundation (RSF grant number 19–18-00262). |
|
| Дата |
2024-04-05T16:23:10Z
2024-04-05T16:23:10Z 2023 |
|
| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
|
| Идентификатор |
Savin, I, Chukavina, K & Pushkarev, A 2023, 'Topic-based classification and identification of global trends for startup companies', Small Business Economics, Том. 60, № 2, стр. 659-689. https://doi.org/10.1007/s11187-022-00609-6
Savin, I., Chukavina, K., & Pushkarev, A. (2023). Topic-based classification and identification of global trends for startup companies. Small Business Economics, 60(2), 659-689. https://doi.org/10.1007/s11187-022-00609-6 0921-898X Final All Open Access, Hybrid Gold, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126010270&doi=10.1007%2fs11187-022-00609-6&partnerID=40&md5=92cd266f6bae578044bebc071a641162 https://link.springer.com/content/pdf/10.1007/s11187-022-00609-6.pdf http://elar.urfu.ru/handle/10995/130514 10.1007/s11187-022-00609-6 85126010270 000762885300001 |
|
| Язык |
en
|
|
| Связанные ресурсы |
info:eu-repo/grantAgreement/RSF//19-18-00262
|
|
| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
|
| Формат |
application/pdf
|
|
| Издатель |
Springer
|
|
| Источник |
Small Business Economics
Small Business Economics |
|