Evolution and recombination of topics in Technological Forecasting and Social Change
Savin, Ivan (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)

Date:	2023
Abstract:	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.
Grants:	European Commission 741087
Note:	Altres ajuts: acords transformatius de la UAB
Note:	Unidad de excelencia María de Maeztu CEX2019-000940-M
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Computational linguistics ; Knowledge recombination ; Literature review ; Machine learning ; Topic modelling
Published in:	Technological Forecasting and Social Change, Vol. 194 (September 2023) , art. 122723, ISSN 0040-1625

DOI: 10.1016/j.techfore.2023.122723

14 p, 8.8 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > Institut de Ciència i Tecnologia Ambientals (ICTA)
Articles > Research articles
Articles > Published articles