Title

SSCI《Technological Forecasting and Social Change》征稿: 生成式人工智能塑造绿色供应链

2025年03月14日

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《TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE》 管理学

截止日期:2025/09/30 23:59

原文链接:https://www.sciencedirect.com/special-issue/319896/the-power-of-generative-ai-in-shaping-green-and-responsible-supply-chains-rethinking-and-advancing-sustainable-solutions-for-social-change?sessionid=-1837537654

征稿期刊

Technological Forecasting and Social Change

 

期刊级别

SSCI (JCR 2023)

IF 12.9

Q1 (BUSINESS 4/302)

Q1 (REGIONAL & URBAN PLANNING 1/54)

 

征稿主题

The Power of Generative AI in Shaping Green and Responsible Supply Chains: Rethinking and Advancing Sustainable Solutions for Social Change


细分领域

How can generative AI contribute to enhancing operational excellence such as green, lean and circular in the socially responsible supply chain operations in the context of global resource limitations and climate change?

How does generative AI facilitate the development of closed loop and sustainable supply chain models and promote net zero, responsible and circular economy practices in value chains?

What role does generative AI play in driving digital transformation within businesses, and how does it enhance socio-economic performance of responsible supply chains?

What are the potential challenges, drivers, practices, risks and uncertainties, and performance measures to generative AI to socially responsible and resilient supply chains?

What is the role of employees, managers, policy makers and consumers to adopt and promote socially responsible generative AI in green and resilient supply chains?

How does the adoption of generative AI challenge, hinder, drive and reframe the current conceptualizations, theoretical perspectives and narratives in the context of sustainable and socially responsible practices in supply chain operations?

What is the negative impact of adopting generative AI on employees, managers, firms, consumers and society, from the perspective of circularity and low carbon management? How the negative impact can be measured, and mitigated?

How do cultural differences impact the development and implementation of generative AI regulations and influence organizational strategies in sustainability oriented responsible supply chain? What lessons can be drawn from cross-cultural comparisons and cultural leadership?

What frameworks and methodologies can be developed to analyze the potential of generative AI in supporting digital transformation and sustainable responsible business practices?

How can generative AI be leveraged to foster innovation in industrial supply chains that are traditionally resource-intensive or prone to environmental and community degradation?

 

重要时间

Submission Deadline: 30 September 2025

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