Sustainable Economics and Management Review

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Sustainable Economics and Management Review (SEMR) is an interdisciplinary academic journal focusing on sustainable economic development and management innovation in the age of artificial intelligence. The journal aims to explore how artificial intelligence and digital technologies reshape economic systems, corporate management, environmental governance, resource allocation, and sustainable transformation.

SEMR welcomes theoretical, empirical, methodological, and policy-oriented studies on AI-driven sustainability. Topics of interest include sustainable economic growth, digital economy, green management, ESG practices, corporate strategy, green finance, energy transition, climate-risk management, supply chain resilience, resource efficiency, public governance, and policy evaluation. The journal also encourages research using advanced methods such as machine learning, text analysis, big data analytics, causal inference, DEA, QCA, and other data-driven approaches.

SEMR publishes original research articles, review articles, methodological papers, policy analyses, and special issue contributions. The journal seeks to provide academic evidence and policy insights for responsible, inclusive, and sustainable development in an AI-driven world.

ISSN: XXXX-XXXX

ISSN Online: XXXX-XXXX


Sustainable Economics and Management Review (SEMR) is an interdisciplinary academic journal focusing on sustainable economic development and management innovation in the age of artificial intelligence. The journal aims to explore how artificial intelligence and digital technologies reshape economic systems, corporate management, environmental governance, resource allocation, and sustainable transformation.

SEMR welcomes theoretical, empirical, methodological, and policy-oriented studies on AI-driven sustainability. Topics of interest include sustainable economic growth, digital economy, green management, ESG practices, corporate strategy, green finance, energy transition, climate-risk management, supply chain resilience, resource efficiency, public governance, and policy evaluation. The journal also encourages research using advanced methods such as machine learning, text analysis, big data analytics, causal inference, DEA, QCA, and other data-driven approaches.

SEMR publishes original research articles, review articles, methodological papers, policy analyses, and special issue contributions. The journal seeks to provide academic evidence and policy insights for responsible, inclusive, and sustainable development in an AI-driven world.

ISSN: XXXX-XXXX

ISSN Online: XXXX-XXXX

ISSN: XXXX-XXXX

ISSN Online: XXXX-XXXX

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