Research Topic

Data-driven Green Supply Chain Management

About this Research Topic

Data-driven Green Supply Chain Management (GSCM) is getting significant attention among industrialists and the research community due to its multidimensional advantages. This evolution in supply chain management is expected to bring change in the way of information communication assisting industrial managers in managing the uncertainty and risks in supply chain operation. Further, data-driven GSCM has shown positive results in attaining sustainable supply chain management performance. Data-driven GSCM may help organizations to analyze the present industrial performance and to predict future trends. In addition to industrial performance, a data-driven supply chain would have environmental benefits. With data-driven technologies, the movement of the finished products can be tracked in real-time with information being related to the customers, thus improving the relationship between provider and beneficiary.

This Research Topic aims to highlight the emerging research on data-driven GCSM, contributing high quality works to the literature, both methodologically and theoretically. The submitted papers should have an emphasis on real-time problems faced by industries in supply chain management. Further, the collection expects papers focusing on different industrial sectors and their respective perspectives. This may include case studies on manufacturing sectors, risk assessments, mathematical model, the framework for data-driven GSCM, barriers in data-driven GSCM, sustainable data-driven GSCM, etc. Also, the cutting-edge technologies and decision-making models that could facilitate data-driven GSCM would be of interest to this Research Topic

The topics of interest include but are not strictly limited to:
• Challenges, opportunities and advances of green supply chain management in emerging and developed economies
• Nexus between GSCM and sustainable supply chain management
• Nexus between GSCM and circular economy
• GSCM and its transformations to Industry 4.0
• Collaborative practices in GSCM
• Edge-computing in GSCM
• Lean construction using GSCM
• Green supply chains in construction.
• Nexus between green and sustainable supply chain management
• Risk assessment in GSCM
• Project management using GSCM
• Green supply chain management in industrial sharing economy
• Circular and sustainable supply chain through green practices
• Green and sustainable supply chain finance
• Green supply chain management for urban and infrastructure environment
• Green supply chain management for urban and infrastructure design and construction
• Water-energy-food nexus for greening the supply chain

This collection would like to acknowledge the work of Dr. Bathrinath Sankaranarayanan (Kalasalingam Academy of Research and Education, India) for his contribution to defining the scope of this collection.


Keywords: data-driven supply chain, circular economy, lean construction, industry 4.0, green supply chain


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Data-driven Green Supply Chain Management (GSCM) is getting significant attention among industrialists and the research community due to its multidimensional advantages. This evolution in supply chain management is expected to bring change in the way of information communication assisting industrial managers in managing the uncertainty and risks in supply chain operation. Further, data-driven GSCM has shown positive results in attaining sustainable supply chain management performance. Data-driven GSCM may help organizations to analyze the present industrial performance and to predict future trends. In addition to industrial performance, a data-driven supply chain would have environmental benefits. With data-driven technologies, the movement of the finished products can be tracked in real-time with information being related to the customers, thus improving the relationship between provider and beneficiary.

This Research Topic aims to highlight the emerging research on data-driven GCSM, contributing high quality works to the literature, both methodologically and theoretically. The submitted papers should have an emphasis on real-time problems faced by industries in supply chain management. Further, the collection expects papers focusing on different industrial sectors and their respective perspectives. This may include case studies on manufacturing sectors, risk assessments, mathematical model, the framework for data-driven GSCM, barriers in data-driven GSCM, sustainable data-driven GSCM, etc. Also, the cutting-edge technologies and decision-making models that could facilitate data-driven GSCM would be of interest to this Research Topic

The topics of interest include but are not strictly limited to:
• Challenges, opportunities and advances of green supply chain management in emerging and developed economies
• Nexus between GSCM and sustainable supply chain management
• Nexus between GSCM and circular economy
• GSCM and its transformations to Industry 4.0
• Collaborative practices in GSCM
• Edge-computing in GSCM
• Lean construction using GSCM
• Green supply chains in construction.
• Nexus between green and sustainable supply chain management
• Risk assessment in GSCM
• Project management using GSCM
• Green supply chain management in industrial sharing economy
• Circular and sustainable supply chain through green practices
• Green and sustainable supply chain finance
• Green supply chain management for urban and infrastructure environment
• Green supply chain management for urban and infrastructure design and construction
• Water-energy-food nexus for greening the supply chain

This collection would like to acknowledge the work of Dr. Bathrinath Sankaranarayanan (Kalasalingam Academy of Research and Education, India) for his contribution to defining the scope of this collection.


Keywords: data-driven supply chain, circular economy, lean construction, industry 4.0, green supply chain


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

18 December 2020 Abstract
17 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

18 December 2020 Abstract
17 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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