TY - JOUR
T1 - Evolution and recombination of topics in Technological Forecasting and Social Change
AU - Savin, Ivan
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2023/9
Y1 - 2023/9
N2 - 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.
AB - 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.
KW - Computational linguistics
KW - Knowledge recombination
KW - Literature review
KW - Machine learning
KW - Topic modelling
KW - Computational linguistics
KW - Knowledge recombination
KW - Literature review
KW - Machine learning
KW - Topic modelling
UR - http://www.scopus.com/inward/record.url?scp=85163548388&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/bd45ee8d-38dd-3ea6-ac7a-0d85bc457e8a/
U2 - 10.1016/j.techfore.2023.122723
DO - 10.1016/j.techfore.2023.122723
M3 - Article
AN - SCOPUS:85163548388
SN - 0040-1625
VL - 194
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
M1 - 122723
ER -