TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

TECHNOL FORECAST SOC
影响因子:13.3
JCR分区:Q1
新锐分区:管理学1区
是否综述期刊:N/A
是否预警:不在预警名单内
是否OA:
出版国家/地区:-
出版社:Elsevier
发刊时间:0
收录数据库:SCIE/SSCI/Scopus收录
ISSN:0040-1625

期刊介绍

Technological Forecasting and Social Change focuses on areas such as technology forecasting, social impact, and policy-making. This journal aims to provide a platform for scholars, policy makers, entrepreneurs, and the public to engage in in-depth discussions on the impact of technological development on society. It not only focuses on the development of technology itself, but also on how technology affects aspects such as economy, politics, society, and culture. The goal of this journal is to promote academic exchange and research progress in the fields of technology prediction and social change by publishing high-quality research articles. It welcomes researchers from around the world to submit their research findings to promote interdisciplinary dialogue and collaboration.
技术预测与社会变革(Technological Forecasting And Social Change)是一本由Elsevier出版的一本Multiple学术刊物,主要报道Multiple相关领域研究成果与实践。本刊已入选、社会科学引文索引(SCIE)来源期刊,属于国际一流期刊。该刊创刊于1969年,出版周期9 issues/year。2021-2022年最新版WOS分区等级:Q1,2023年发布的影响因子为12.9,CiteScore指数21.3,SJR指数3.118。本刊非开放获取期刊。 《技术预测与社会变革》主要关注技术预测、社会影响和政策制定等领域。该期刊旨在提供一个平台,让学者、政策制定者、企业家和公众能够就技术发展对社会的影响进行深入讨论。它不仅关注技术本身的发展,还关注技术如何影响经济、政治、社会和文化等方面。该期刊的目标是通过发表高质量的研究文章,推动技术预测和社会变革领域的学术交流和研究进展。它欢迎来自全球各地的研究者提交他们的研究成果,以促进跨学科的对话和合作。
年发文量 686
国人发稿量 82.32
国人发文占比 0.12%
自引率 8.3%
平均录取率-
平均审稿周期 -
版面费 -
偏重研究方向 Multiple-
投稿链接 -

期刊高被引文献

Strategic principles for smart city development: A multiple case study analysis of European best practices
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.035
Trade-offs in land-use competition and sustainable land development in the North China Plain
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.01.004
Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.09.018
The role of universities in the knowledge management of smart city projects
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.030
Understanding the crowdfunding phenomenon and its implications for sustainability
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.002
Institutional determinants of R&D investment: Evidence from emerging markets
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.08.007
Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.023
An exploration of smart city approaches by international ICT firms
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.029
The emerging role of university spin-off companies in developing regional entrepreneurial university ecosystems:The case of Andalusia
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.020
Improving the practical application of the Delphi method in group-based judgment: A six-step prescription for a well-founded and defensible process
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.07.002
Reframing technologically enhanced urban scenarios: A design research model towards human centered smart cities
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.09.028
The role of inter-sectoral learning in knowledge development and diffusion: Case studies on three clean energy technologies
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.04.018
The impact of social networking sites on socialization and political engagement: Role of acculturation
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.09.010
ICT, total factor productivity, and carbon dioxide emissions in Tunisia
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.05.028
Smart cities and entrepreneurship: An agenda for future research
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119763
Why do blockchains split? An actor-network perspective on Bitcoin splits
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119743
Far apart yet close by: Social media and acculturation among international students in the UK
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.09.026
ICTs in the transformation of rural enterprises in China: A multi-layer perspective
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.04.026
The role of culture-moderated social capital in technology transfer – insights from Asia and America
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.01.021
Legitimacy building and e-commerce platform development in China: The experience of Alibaba
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2018.06.038
Innovation pathways in additive manufacturing: Methods for tracing emerging and branching paths from rapid prototyping to alternative applications
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.012
Access to information, price expectations and welfare: The role of mobile phone adoption in Ethiopia
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.04.017
Incorporating ecosystem services into agricultural management based on land use/cover change in Northeastern China
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.03.018
Exploring the microfoundations of innovation capabilities. Evidence from a cross-border R&D partnership
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.06.003
Estimation of resource-specific technological change
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.08.006
Examining the dynamics of an emerging research network using the case of triboelectric nanogenerators
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.008
Technology opportunity discovery under the dynamic change of focus technology fields: Application of sequential pattern mining to patent classifications
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119737
The implementation of the Internet of Things: What impact on organizations?
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.03.012
A cross-disciplinary path to healthy and energy efficient buildings
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.023
Programmatic Advertising: Forewarning and avoiding hype-cycle failure
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.03.020
The impact on development of technology and knowledge transfer in Chinese MNEs in sub-Saharan Africa: the Ghanaian case
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119725
Diffusion of alternative fuel vehicles considering dynamic preferences
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.06.002
Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.012
Determinants of the acceptance of mobile learning as an element of human capital training in organisations
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119783
An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.10.031
Extending technological trajectories to latest technological changes by overcoming time lags
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.04.013
Large-scale scenarios as “boundary conditions”: A cross-impact balance simulated annealing (CIBSA) approach
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.03.006
A novel machine learning approach for evaluation of public policies: An application in relation to the performance of university researchers
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119756
Big data insights into social macro trends (1800–2000): A replication study
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119759
Multiple visions of the future and major environmental scenarios
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.03.017
Modular path customization and knowledge transfer: Causal model learnings
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.07.005
Wage inequality and directed technological change: Implications for income distribution
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.01.016
Veni, vidi, vici: The impact of social media on virtual acculturation in tourism context
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.01.013
Identification of the unique attributes and topics within Smart Things Open Innovation Communities
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.05.004
The business case for conserving rare metals
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.04.011
The role of prices and network effects in the growth of the iPhone platform
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.06.020
Knowledge relationships of university spin-off firms : Contrasting dynamics in global reach
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2019.03.013
Knowledge discovery through higher education census data
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119742
Sociotechnical convex hulls and the evolution of transportation activity: A method and application to US travel survey data
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/j.techfore.2019.119789
Governing nanosafety in Austria – Striving for neutrality in the NanoTrust project
来源期刊:Technological Forecasting and Social ChangeDOI:10.1016/J.TECHFORE.2018.06.024

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
97.81%28.16%-0.88%

相关指数

影响因子
影响因子
年发文量
自引率

预警情况

查看说明
时间 预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源:中科院《 国际期刊预警名单》

JCR分区

WOS分区等级:1区
版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2024-2025年最新版)
BUSINESS
Q1
REGIONAL & URBAN PLANNING
Q1

中科院分区

查看说明
版本 大类学科 小类学科 Top期刊 综述期刊
2026年3月发布
(新锐分区)
管理学1区
BUSINESS 商业:管理
1区
REGIONAL & URBAN PLANNING 区域与城市规划
1区
N/A
2025年3月升级版
管理学1区
BUSINESS 商业:管理
1区
REGIONAL & URBAN PLANNING 区域与城市规划
1区
2023年12月旧的升级版
管理学1区
REGIONAL & URBAN PLANNING 区域与城市规划
1区
BUSINESS 商业:管理
2区

CiteScore

查看说明
CiteScore SJR SNIP 学科 分区 排名
26.30
3.472
3.255
大类:Business, Management and Accounting 小类:Business and International Management
大类:Business, Management and Accounting 小类:Applied Psychology
大类:Business, Management and Accounting 小类:Management of Technology and Innovation
Q1
Q1
Q1
2 / 451
2 / 256
3 / 305

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