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A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains

  • Published:2019-09 Issue: Volume:110 Page:64-80
  • ISSN:0166-3615
  • Container-title:Computers in Industry
  • language:en
  • Short-container-title:Computers in Industry

Author:

Boshkoska Biljana Mileva,Liu Shaofeng,Zhao Guoqing,Fernandez Alejandro,Gamboa Susana,del Pino Mariana,Zarate Pascale,Hernandez Jorge,Chen Huilan

Funder

European Commission

Slovenian Research Agency

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference51 articles.

1. A pragmatic view of knowledge and boundaries: boundary objects in new product development;Carlile;Organ. Sci.,2002

2. A knowledge network and mobilisation framework for lean supply chain decisions in agri-food industry;Chen;Int. J. Decis. Support. Syst. Technol.,2017

3. Transferring, translating, and transforming: an integrative framework for managing knowledge across boundaries;Carlile;Organ. Sci.,2004

4. Knowledge management in distributed work: implications for boundary spanning and its design;Hustad;J. Integr. Des. Process. Sci.,2017

5. Managing knowledge boundaries for open innovation - lessons from the automotive industry;Wilhelm;Int. J. Oper. Prod. Manage.,2018

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1. The Role of Data-Driven Agritech Startups—The Case of India and Japan;Sustainability;2024-05-26

2. Application of neural networks in the prediction of the circular economy level in agri-food chains;International Journal of Industrial Engineering and Management;2024-03-30

3. The Implementation of Artificial Intelligence in Knowledge Management: A Systematic Literature Review;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14

4. An ERP implementation on a beekeeping and honey value chain;Brazilian Journal of Operations & Production Management;2023-10-21

5. Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions;Annals of Operations Research;2023-09-05
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