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JournalISSN: 0040-1625

Technological Forecasting and Social Change 

Elsevier BV
About: Technological Forecasting and Social Change is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Business & Technological change. It has an ISSN identifier of 0040-1625. Over the lifetime, 7145 publications have been published receiving 291028 citations. The journal is also known as: Technological forecasting & social change.


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Journal ArticleDOI
TL;DR: In this paper, a Gaussian process classifier was used to estimate the probability of computerisation for 702 detailed occupations, and the expected impacts of future computerisation on US labour market outcomes, with the primary objective of analyzing the number of jobs at risk and the relationship between an occupations probability of computing, wages and educational attainment.

4,853 citations

Journal ArticleDOI
TL;DR: It is described that the emergence of a new innovation system and changes in existing innovation systems co-evolve with the process of technological change, and a method for systematically mapping those processes taking place in innovation systems and resulting in technological change is proposed.

2,263 citations

Journal ArticleDOI
TL;DR: In this article, the authors present an overview of the greenhouse gas (GHG) emissions scenarios that form the analytical backbone for other contributions to this Special Issue, and analyze the feasibility, costs and uncertainties of meeting a range of different climate stabilization targets in accordance with Article 2 of the United Nations Framework Convention on Climate Change.

1,129 citations

Journal ArticleDOI
TL;DR: An overview of the origins of technology roadmapping is provided by means of a brief review of the technology and knowledge management foundations of the technique in the context of the fields of technology strategy and technology transitions.

1,091 citations

Journal ArticleDOI
TL;DR: In this article, a substitution model of technological change based upon a simple set of assumptions has been presented, and the mathematical form of the model is shown to fit existing data in a wide variety of substitutions remarkably well.

1,068 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023544
2022954
2021784
2020459
2019410
2018213