IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03766170.html
   My bibliography  Save this paper

Editorial: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research

Author

Listed:
  • Thanos Papadopoulos

    (University of Kent [Canterbury])

  • Uthayasankar Sivarajah

    (School of Management [Bradford] - University of Bradford)

  • Konstantina Spanaki

    (Audencia Business School)

  • Stella Despoudi

    (Aston Business School - Aston University [Birmingham])

  • Angappa Gunasekaran

    (CSUB - California State University [Bakersfield])

Abstract

No abstract is available for this item.

Suggested Citation

  • Thanos Papadopoulos & Uthayasankar Sivarajah & Konstantina Spanaki & Stella Despoudi & Angappa Gunasekaran, 2022. "Editorial: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research," Post-Print hal-03766170, HAL.
    • Handle: RePEc:hal:journl:hal-03766170
    DOI: 10.1080/00207543.2021.2010979
    Note: View the original document on HAL open archive server: https://audencia.hal.science/hal-03766170
    as

    Download full text from publisher

    File URL: https://audencia.hal.science/hal-03766170/document
    Download Restriction: no
    File URL: https://libkey.io/10.1080/00207543.2021.2010979?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Konstantina Spanaki & Zeynep Gürgüç & Richard Adams & Catherine Mulligan, 2018. "Data supply chain (DSC): research synthesis and future directions," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4447-4466, July.
    2. Stella Despoudi & Grammatoula Papaioannou & George Saridakis & Samir Dani, 2018. "Does collaboration pay in agricultural supply chain? An empirical approach," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4396-4417, July.
    3. Pomerol, Jean-Charles, 1997. "Artificial intelligence and human decision making," European Journal of Operational Research, Elsevier, vol. 99(1), pages 3-25, May.
    4. Giannakis, Mihalis & Papadopoulos, Thanos, 2016. "Supply chain sustainability: A risk management approach," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 455-470.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mahdi Bashiri & Benny Tjahjono & Jordon Lazell & Jennifer Ferreira & Tomy Perdana, 2021. "The Dynamics of Sustainability Risks in the Global Coffee Supply Chain: A Case of Indonesia–UK," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    2. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    4. Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    5. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    6. Nguyen Thi Nha Trang & Thanh-Thuy Nguyen & Hong V. Pham & Thi Thu Anh Cao & Thu Huong Trinh Thi & Javad Shahreki, 2022. "Impacts of Collaborative Partnership on the Performance of Cold Supply Chains of Agriculture and Foods: Literature Review," Sustainability, MDPI, vol. 14(11), pages 1-28, May.
    7. Giat, Yahel & Manes, Eran, 2023. "Firm response to ethically motivated boycotts," European Journal of Operational Research, Elsevier, vol. 305(1), pages 300-311.
    8. Harkaran Kava & Konstantina Spanaki & Thanos Papadopoulos & Stella Despoudi & Oscar Rodriguez-Espindola & Masoud Fakhimi, 2021. "Data Analytics Diffusion in the UK Renewable Energy Sector: An Innovation Perspective," Post-Print hal-03781046, HAL.
    9. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2020. "Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry," Resources Policy, Elsevier, vol. 68(C).
    10. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.
    11. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    12. Vladimir A. Masch, 2017. "¡°Shifting the Paradigm¡± in Superintelligence," Review of Economics & Finance, Better Advances Press, Canada, vol. 8, pages 17-30, May.
    13. Andrzej Lis & Agata Sudolska & Mateusz Tomanek, 2020. "Mapping Research on Sustainable Supply-Chain Management," Sustainability, MDPI, vol. 12(10), pages 1-26, May.
    14. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    15. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    16. Julia Hartmann & Sebastian Forkmann & Sabine Benoit & Stephan C. Henneberg, 2022. "A consumer perspective on managing the consequences of chain liability," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(4), pages 58-89, October.
    17. Alwin Dsouza & Ashok K. Mishra & Scott Webster, 2023. "Vertical coordination and post‐harvest losses: Implications on food loss," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 460-486, March.
    18. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
    19. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    20. André Luiz Romano & Luís Miguel D. F. Ferreira & Sandra Sofia F. S. Caeiro, 2021. "Modelling Sustainability Risk in the Brazilian Cosmetics Industry," Sustainability, MDPI, vol. 13(24), pages 1-26, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-03766170. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.