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Enterprise Information Systems Volume 13, 2019 - Issue 7-8: Computational Collective Intelligence for Enterprise Information Systems
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Editorial

Computational collective intelligence for enterprise information systems

Ngoc Thanh NguyenFaculty of Computer Science and Management, Wroclaw University of Science and Technology, Poland;Faculty of Information Technology, Nguyen Tat Thanh University, Ho Chi Minh city, VietnamCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3247-2948
ORCID Icon,
Dosam HwangDepartment of Computer Engineering, Yeungnam University, KoreaORCID Iconhttps://orcid.org/0000-0001-7851-7323
ORCID Icon &
Edward SzczerbickiFaculty of Management and Economy, Gdansk University of Technology, PolandORCID Iconhttps://orcid.org/0000-0001-7794-2862
ORCID Icon
Pages 933-934 | Published online: 29 Jul 2019

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Sang-Bing Tsai, Wenqing Wu, Saixiang Ma, Chia-Huei Wu & Bowen Zhou. (2020) Benchmarking, knowledge inertia, and knowledge performance in different network structures. Enterprise Information Systems 14:5, pages 641-660.
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Articles from other publishers (4)

Mariia Golovianko, Vagan Terziyan, Vladyslav Branytskyi & Diana Malyk. (2023) Industry 4.0 vs. Industry 5.0: Co-existence, Transition, or a Hybrid. Procedia Computer Science 217, pages 102-113.
Crossref
Shima Beigi & Francis Heylighen. 2021. Computational Collective Intelligence. Computational Collective Intelligence 81 93 .
Miguel Benito-Parejo, Mercedes G. Merayo & Manuel Nunez. (2020) An evolutionary technique for supporting the consensus process of group decision making. An evolutionary technique for supporting the consensus process of group decision making.
Alfredo Ibias & Manuel Nunez. (2020) Using a swarm to detect hard-to-kill mutants. Using a swarm to detect hard-to-kill mutants.

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