SSCI特刊征稿：气候变化、能源转型、绿色金融和技术创新如何预测下一个技术和经济周期?

1 期刊信息

期刊名称：Technological Forecasting and Social Change

影响因子：12.9

CiteScore：21.3

JCI分区：

BUSINESS, Q1, 5/302

REGIONAL & URBAN PLANNING, Q1, 1/54

中科院分区（2023升级版）：

大类及分区：管理学1区top

小类及分区：REGIONAL & URBAN PLANNING区域与城市规划, 1区

BUSINESS商业：管理, 1区

2 专刊信息

专刊主题：How Do Climate Change, Energy Transition, Green Finance, and Technological Innovation Predict the Next Technological and Economic Cycle?

截止日期：30 September 2024

专刊链接：（或点击左下角“阅读原文”）

https://www.sciencedirect.com/journal/technological-forecasting-and-social-change/about/call-for-papers#how-do-climate-change-energy-transition-green-finance-and-technological-innovation-predict-the-next-technological-and-economic-cycle

3 详细内容

This SI explores how models and algorithms incorporate the effects of climate change, energy transition, green finance, and technological innovation to predict future technological and economic cycles. The SI papers may address ways to improve the capacity to utilize the technological advancements of AI and ML to predict economic cycles effectively in developed and developing economies. The SI also examines the specific roles of climate change, energy transition, green finance, and technological innovation in economic cycle prediction. Climate change is likely to significantly affect the economy, leading to more extreme weather events and increased costs for adaptation. Energy transition and technological innovation are also expected to have significant effects, as they will create new industries and disrupt existing ones. Green finance is the use of financial instruments to support sustainable development, and it will likely play an increasingly important role in the global economy.

Special issue information:

This SI will be a valuable resource for policymakers and researchers using new tools such as AI and ML to predict technological and economic cycles. The SI will provide a comprehensive overview of the state of the art for several fields and identify areas for future research. The SI welcomes empirical analyses and literature review papers from scholars worldwide. The SI will include articles by policymakers and the broader interest of the public and different sectors.

We are looking for original and unpublished contributions, broadly on the following topics:

• Critical Issues in AI and Energy Transition that Are Likely to Affect the Next Technological and Economic Cycles

• Data Analytics and Big Data in Forecasting Technological and Economic Cycles

• Effects of Energy Transition on Technological and Economic Cycles

• How Can Emerging Technologies (e.g., AI, Automation, ML, and Robotics) Affect Technological and Economic Cycles?

• How Does Climate Change (Risk and Uncertainty) Affect Technological and Economic Cycles?

• How to Use AI and ML in Predicting Economic Trends

• Impacts of Digital Platforms and Ecosystems on Predicting Technological and Economic Cycles

• Interconnections between Technological Innovation and Economic Cycles, especially the Kondratieff-waves

• Internet of Things (IoT) and its effects on Technological Innovation Predicting Technological and Economic Cycles

• Leveraging AI and ML Advancements in Technological and Economic Cycles Prediction

• Role of Green Finance Instruments in Shaping Technological and Economic Cycles

• Role of Supply Chain Resilience on Technological and Economic Cycles

• Technological Forecasting for the Future of the Kondratieff-waves

• The Extent of the Environmental, Social, and Technological Innovations in Predicting Technological and Economic Cycles

Guest editors:

• Professor Giray Gozgor, School of Management, University of Bradford, the United Kingdom,  (Managing Editor)

• Professor Anis Jarboui, University of Sfax, Tunisia

• Dr. Emna Mnif, Graduate School of Commerce of Sfax, University of Sfax, Tunisia

Manuscript submission information:

Submission Starts: 1st September 2023

Submission Deadline: 30 September 2024

Keywords:

Artificial Intelligence, Climate Change, Data Analytics, Economic Cycle, Energy Transition, Green Finance, Machine Learning, Technological Cycle, Technological Innovation

Please submit your paper to the Special Issue category: 'VSI: Technological and Economic Cycles' through the online submission system of Technological Forecasting and Social Change. 

All submissions should follow the general author guidelines of Technological Forecasting and Social Change available here.