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Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

International journal of production economics, 2020-01, Vol.219, p.179-194

2020

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A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

Computers & operations research, 2020-07, Vol.119, p.104926-17, Article 104926

2020

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How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains

International journal of production research, 2024-08, Vol.62 (15), p.5510-5534

2024

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Modeling the blockchain enabled traceability in agriculture supply chain

International journal of information management, 2020-06, Vol.52, p.101967-16, Article 101967

2020

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Big data-driven supply chain performance measurement system: a review and framework for implementation

International journal of production research, 2020-01, Vol.58 (1), p.65-86

2020

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Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

Annals of operations research, 2024-02, Vol.333 (2-3), p.627-652

2024

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Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

Process safety and environmental protection, 2018-07, Vol.117, p.408-425

2018

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A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

International journal of production economics, 2020-11, Vol.229, p.107853, Article 107853

2020

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Operations and Supply Chain Management in the Food Industry: Farm to Fork

1, 2022

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Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry

Annals of operations research, 2023-08, Vol.327 (1), p.575-600

2023

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Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework

Technological forecasting & social change, 2022-03, Vol.176, p.121448, Article 121448

2022

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A machine learning based approach for predicting blockchain adoption in supply Chain

Technological forecasting & social change, 2021-02, Vol.163, p.120465, Article 120465

2021

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Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives

Computers and electronics in agriculture, 2018-12, Vol.155, p.103-120

2018

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Modeling the internet of things adoption barriers in food retail supply chains

Journal of retailing and consumer services, 2019-05, Vol.48, p.154-168

2019

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Analysing the role of Industry 4.0 technologies and circular economy practices in improving sustainable performance in Indian manufacturing organisations

Production planning & control, 2023-07, Vol.34 (10), p.887-901

2023

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A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry

Technological forecasting & social change, 2021-04, Vol.165, p.120567, Article 120567

2021

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Evaluating barriers and solutions for social sustainability adoption in multi-tier supply chains

International journal of production research, 2021-06, Vol.59 (11), p.3378-3397

2021

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Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view

International journal of production economics, 2022-07, Vol.249, p.108516, Article 108516

2022

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Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms

International journal of production research, 2022-11, Vol.60 (22), p.6908-6922

2022

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An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance

Annals of operations research, 2021-11, p.1-29

2021

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A self-assessment tool for evaluating the integration of circular economy and industry 4.0 principles in closed-loop supply chains

International journal of production economics, 2022-03, Vol.245, p.108372, Article 108372

2022

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Behavioral mechanisms influencing sustainable supply chain governance decision-making from a dyadic buyer-supplier perspective

International journal of production economics, 2021-06, Vol.236, p.108136, Article 108136

2021

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A Big Data Analytics-driven Lean Six Sigma framework for enhanced green performance: a case study of chemical company

Production planning & control, 2023-07, Vol.34 (9), p.767-790

2023

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Infectious Waste Management Strategy during COVID-19 Pandemic in Africa: an Integrated Decision-Making Framework for Selecting Sustainable Technologies

Environmental management (New York), 2020-12, Vol.66 (6), p.1085-1104

2020

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Sustainable supply chain management practices and performance: An integrated perspective from a developing economy

Management of environmental quality, 2020-08, Vol.31 (5), p.1147-1182

2020

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Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications

A systematic literature review on machine learning applications for sustainable agriculture supply chain performance

How to use no-code artificial intelligence to predict and minimize the inventory distortions for resilient supply chains

Modeling the blockchain enabled traceability in agriculture supply chain

Big data-driven supply chain performance measurement system: a review and framework for implementation

Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation

Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation

Operations and Supply Chain Management in the Food Industry: Farm to Fork

Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: evidence from the automotive industry

Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework

A machine learning based approach for predicting blockchain adoption in supply Chain

Big GIS analytics framework for agriculture supply chains: A literature review identifying the current trends and future perspectives

Modeling the internet of things adoption barriers in food retail supply chains

Analysing the role of Industry 4.0 technologies and circular economy practices in improving sustainable performance in Indian manufacturing organisations

A large multi-group decision-making technique for prioritizing the big data-driven circular economy practices in the automobile component manufacturing industry

Evaluating barriers and solutions for social sustainability adoption in multi-tier supply chains

Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view

Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms

An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance

A self-assessment tool for evaluating the integration of circular economy and industry 4.0 principles in closed-loop supply chains

Behavioral mechanisms influencing sustainable supply chain governance decision-making from a dyadic buyer-supplier perspective

A Big Data Analytics-driven Lean Six Sigma framework for enhanced green performance: a case study of chemical company

Infectious Waste Management Strategy during COVID-19 Pandemic in Africa: an Integrated Decision-Making Framework for Selecting Sustainable Technologies

Sustainable supply chain management practices and performance: An integrated perspective from a developing economy

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