Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
出版年份 2021 全文链接
标题
Exploring the role of artificial intelligence in managing agricultural supply chain risk to counter the impacts of the COVID-19 pandemic
作者
关键词
-
出版物
International Journal of Logistics Management
Volume ahead-of-print, Issue ahead-of-print, Pages -
出版商
Emerald
发表日期
2021-07-06
DOI
10.1108/ijlm-12-2020-0493
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP
- (2021) Shashank Kumar et al. JOURNAL OF CLEANER PRODUCTION
- Industry 4.0 strategies and technological developments. An exploratory research from Italian manufacturing companies
- (2020) Andrea Chiarini et al. PRODUCTION PLANNING & CONTROL
- Potential implications of COVID‐19 on the Canadian pork industry
- (2020) Ken McEwan et al. CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE
- The impact of COVID‐19 on food retail and food service in Canada: Preliminary assessment
- (2020) Ellen Goddard CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE
- Introduction to the special issue on COVID‐19 and the Canadian agriculture and food sectors: Thoughts from the pandemic onset
- (2020) Alan P. Ker et al. CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE
- Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture
- (2020) Mario Lezoche et al. COMPUTERS IN INDUSTRY
- The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing
- (2020) Oscar Rodríguez-Espíndola et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case
- (2020) Dmitry Ivanov TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey
- (2020) Yesim Can Saglam et al. Journal of Manufacturing Technology Management
- COVID-19 risks to global food security
- (2020) David Laborde et al. SCIENCE
- Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario
- (2020) Assunta Di Vaio et al. Sustainability
- Challenges for the cyber-physical manufacturing enterprises of the future
- (2019) Hervé Panetto et al. ANNUAL REVIEWS IN CONTROL
- Modelling wholesale distribution operations: an artificial intelligence framework
- (2019) Eleonora Bottani et al. INDUSTRIAL MANAGEMENT & DATA SYSTEMS
- Review of quantitative methods for supply chain resilience analysis
- (2019) Seyedmohsen Hosseini et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Deep neural networks with transfer learning in millet crop images
- (2019) Solemane Coulibaly et al. COMPUTERS IN INDUSTRY
- Transparency in food supply chains: A review of enabling technology solutions
- (2019) Jake Astill et al. TRENDS IN FOOD SCIENCE & TECHNOLOGY
- Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
- (2019) George Baryannis et al. Future Generation Computer Systems-The International Journal of eScience
- Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations
- (2019) Rameshwar Dubey et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Big data analytics in supply chain management: A state-of-the-art literature review
- (2018) Truong Nguyen et al. COMPUTERS & OPERATIONS RESEARCH
- A framework for designing supply chain disruptions management considering productive systems and carrier viewpoints
- (2018) Maurício Fontoura Blos et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Bayesian network modelling for supply chain risk propagation
- (2018) Ritesh Ojha et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics
- (2018) Dmitry Ivanov et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Pre-positioning inventory and service outsourcing of relief material supply chain
- (2018) Xin Yao et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies
- (2018) Sunil Luthra et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- Supply chain antecedents of agile manufacturing in a developing country context
- (2018) Ayman Bahjat Abdallah et al. Journal of Manufacturing Technology Management
- A data mining-based framework for supply chain risk management
- (2018) Merve Er Kara et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Supply chain risk management and artificial intelligence: state of the art and future research directions
- (2018) George Baryannis et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- How should we turn data into decisions in AgriFood?
- (2018) Liliya Serazetdinova et al. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
- B2B E-Commerce Adoption in Iranian Manufacturing Companies: Analyzing the Moderating Role of Organizational Culture
- (2017) Masoumeh Mohtaramzadeh et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
- An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences
- (2017) Huan Fan et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective
- (2017) Minkyun Kim et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
- Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics
- (2017) Yan Shang et al. OPERATIONS RESEARCH
- An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective
- (2017) Ravi Srinivasan et al. PRODUCTION AND OPERATIONS MANAGEMENT
- Logistics and cloud computing service providers’ cooperation: a resilience perspective
- (2017) Nachiappan Subramanian et al. PRODUCTION PLANNING & CONTROL
- Big data and analytics in operations and supply chain management: managerial aspects and practical challenges
- (2017) Thanos Papadopoulos et al. PRODUCTION PLANNING & CONTROL
- Towards a Conceptual Framework of Sustainable Business Model Innovation in the Agri-Food Sector: A Systematic Literature Review
- (2017) et al. Sustainability
- The Effectiveness of Supply Chain Risk Information Processing Capability: An Information Processing Perspective
- (2016) Huan Fan et al. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
- An Empirical Study of Some Critical Adoption Factors of ERP Software
- (2016) Hart O. Awa et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
- An analytical framework for supply network risk propagation: A Bayesian network approach
- (2015) Myles D. Garvey et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors
- (2015) Ray Y. Zhong et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Reprint of “Integration of logistics and cloud computing service providers: Cost and green benefits in the Chinese context”
- (2015) Nachiappan Subramanian et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Identification of supply chain disruptions with economic performance of firms using multi-category support vector machines
- (2014) ShiJie Ye et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A new model to mitigating random disruption risks of facility and transportation in supply chain network design
- (2013) Nader Azad et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Supply chain flexibility, uncertainty and firm performance: An empirical analysis of German manufacturing firms
- (2010) Ulf Merschmann et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
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