Evolution and recombination of topics in Technological Forecasting and Social Change
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Evolution and recombination of topics in Technological Forecasting and Social Change
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| Автор |
Savin, I.
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| Тематика |
COMPUTATIONAL LINGUISTICS
KNOWLEDGE RECOMBINATION LITERATURE REVIEW MACHINE LEARNING TOPIC MODELLING COMMERCE COMPUTATIONAL LINGUISTICS ENVIRONMENTAL REGULATIONS FINANCIAL MARKETS MACHINE LEARNING TECHNOLOGICAL FORECASTING DIFFUSION ANALYSIS FORECASTING METHODS INNOVATIONS DIFFUSION KNOWLEDGE RECOMBINATION LITERATURE REVIEWS MACHINE-LEARNING PATENT ANALYSIS SOCIAL CHANGES TECHNOLOGICAL CHANGE TOPIC MODELING PATENTS AND INVENTIONS KNOWLEDGE LITERATURE REVIEW MACHINE LEARNING NUMERICAL MODEL SOCIAL CHANGE TECHNOLOGICAL CHANGE CHINA UNITED STATES |
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| Описание |
Technological Forecasting and Social Change (TFSC) is one of the main outlets in the literature on technological change. To assist its editors and future contributors in understanding the evolution of the journal, we review studies published between 1970 and 2022 identifying 25 main themes ranging from scenario foresight and forecasting methods that dominated the journal agenda in the first decades through innovation diffusion and patent analysis that gained popularity in 2006–2019 to social interaction and financial markets which experienced momentum in the last couple of years. We find that studies concentrated on more recent topics like firm performance, financial markets and environmental regulation have been cited more frequently and were contributed more often by scientists from China compared to the US. Inspired by the fact that studies recombining two or more topics are more impactful in terms of citations, we construct a graph of topics, both for the overall sample of 6240 studies reviewed and three periods of TFSC existence corresponding to different editors-in-chief. Our results illustrate knowledge complementarities explored in the journal so far and may indicate directions for further research. © 2023 The Author(s)
European Research Council, ERC; Horizon 2020: 741087 Ivan Savin acknowledges support from the ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement no. 741087 ). |
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| Дата |
2024-04-05T16:26:30Z
2024-04-05T16:26:30Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Savin, I 2023, 'Evolution and recombination of topics in Technological Forecasting and Social Change', Technological Forecasting and Social Change, Том. 194, 122723. https://doi.org/10.1016/j.techfore.2023.122723
Savin, I. (2023). Evolution and recombination of topics in Technological Forecasting and Social Change. Technological Forecasting and Social Change, 194, [122723]. https://doi.org/10.1016/j.techfore.2023.122723 0040-1625 Final All Open Access, Hybrid Gold, Green https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163548388&doi=10.1016%2fj.techfore.2023.122723&partnerID=40&md5=91ec90fa23a7326ec146050ccc6cc9de https://doi.org/10.1016/j.techfore.2023.122723 http://elar.urfu.ru/handle/10995/130579 10.1016/j.techfore.2023.122723 85163548388 001035662900001 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
Elsevier Inc.
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| Источник |
Technological Forecasting and Social Change
Technological Forecasting and Social Change |
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