Cited by 26Innovation and Knowledge ManagementManagement and Organizational PracticesKnowledge Management and Technology

RETRACTED ARTICLE: The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence

Bai, XuJing, Li, JiaJun·2020·Knowledge Management Research & Practice

Abstract

With the constant change of enterprise environment, the limitation of the traditional knowledge innovation management based on technology is increasingly apparent. This paper firstly analyses the mode, influence, and necessity of collaborative knowledge innovation management under the background of artificial intelligence. Secondly, the configuration strategy of collaborative knowledge innovation management is constructed. Then, greedy algorithm is used to allocate resources quickly, and these allocation schemes are locally optimal under the constructed optimal metric. Finally, the genetic algorithm is used to optimise the resource structure of the initial allocation combination globally to improve the optimisation degree of the structure as a whole. Through the optimal allocation of resources, enterprises can develop into highly efficient organisations with strong cohesion, continuous development, and self-management, and form collective creativity of enterprises, which can better adapt to the complex and rapidly changing management environment in the new era.

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Crossref · 10.1080/14778238.2020.1834886This paper is marked retracted.

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Authors
Bai, X., & Li, J.
Affiliations
Northwestern Polytechnical University (CN)
Corresponding author
Bai, XuJing
Venue
Knowledge Management Research & Practice
Published
2020-10-27
Pages
1-13
ISSN
  • 1477-8238 (ISSN-L)
  • 1477-8246
OpenAlex
W3097192023
Cited by
26
References
30
Citations by year
2026: 3 · 2025: 8 · 2024: 4 · 2023: 6 · 2022: 5
FWCI
2.93
Type
journal article
Language
en
Status
Retracted
Open access
closed
Locations
  • Knowledge Management Research & Practice (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Management and Organizational Practices
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Knowledge Management and Technology
Keywords
artificial intelligence, resource allocation, greedy algorithm, genetic algorithm, enterprise knowledge management, team creativity, organizational cohesion

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