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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