State-of-the-art perspectives on data-driven sustainable supply chain: A bibliometric and network analysis approach

Mahajan, Pramod Sanjay; Agrawal, Rohit; Raut, Rakesh D.

doi:10.1016/j.jclepro.2023.139727

Journal of Cleaner Production

2023

DOI: 10.1016/j.jclepro.2023.139727

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State-of-the-art perspectives on data-driven sustainable supply chain: A bibliometric and network analysis approach

Pramod Sanjay Mahajan,

Rohit Agrawal,

Rakesh D. Raut

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2024

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Cited by 5 publications

References 110 publications

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Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Kurrahman,

Tsai,

Sethanan

et al. 2024

Bus Strat Env

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This study develops and assesses the validity of a hierarchical structure for circular supply chain management performance (CSCMP) in the semiconductor industry. Previous studies have focused on synchronizing technological performance with eco‐innovation to enhance the circular operations, financial benefits, environmental advantages, and social benefits of CSCMP. This study employs a hybrid data–driven approach that combines qualitative and quantitative techniques to develop a hierarchical structure and determine the ranks of various attributes, thereby providing decision‐makers with valuable insights and practical guidance. Content and bibliographic analyses, the entropy‐weighted method, the fuzzy Delphi method, exploratory factor analysis, fuzzy decision‐making trials, evaluation laboratories, and fuzzy analytic network processes are incorporated in this data‐driven approach. The findings of this research suggest that stakeholders must collaborate to improve eco‐innovation and technological performance with the goal of enhancing CSCMP. Decision‐makers must prioritize stakeholder engagement, risk and responsibility sharing, and collaboration within the circular supply chain. Additionally, service innovations and network innovations can enhance the circularity model.

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Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Kurrahman,

Tsai,

Sethanan

et al. 2024

Bus Strat Env

View full text Add to dashboard Cite

show abstract

Sustainable development performance in the semiconductor industry: A data-driven practical guide to strategic roadmapping

Kurrahman,

Tsai,

Jeng

et al. 2024

Journal of Cleaner Production

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Data-driven natural capital accounting model in Indonesia: Impacts of environmentally related economic activities on ecological processes and services

Kurrahman,

Tsai,

Sethanan

et al. 2024

Journal of Cleaner Production

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State-of-the-art perspectives on data-driven sustainable supply chain: A bibliometric and network analysis approach

Cited by 5 publications

References 110 publications

Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance

Sustainable development performance in the semiconductor industry: A data-driven practical guide to strategic roadmapping

Data-driven natural capital accounting model in Indonesia: Impacts of environmentally related economic activities on ecological processes and services

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