A new evolutional model for institutional field knowledge flow network
This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model (IKM). The purpose is to simulate the construction process of a knowledge flow network using knowledge orga...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-02-01
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| Series: | Journal of Data and Information Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/jdis-2024-0009 |
| _version_ | 1827341030584745984 |
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| author | Guo Jinzhong Wang Kai Liao Xueqin Liu Xiaoling |
| author_facet | Guo Jinzhong Wang Kai Liao Xueqin Liu Xiaoling |
| author_sort | Guo Jinzhong |
| collection | DOAJ |
| description | This paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model (IKM). The purpose is to simulate the construction process of a knowledge flow network using knowledge organizations as units and to investigate its effectiveness in replicating institutional field knowledge flow networks. |
| first_indexed | 2024-03-07T21:33:55Z |
| format | Article |
| id | doaj.art-acda4d5dc60545ccaa2cc31bda37189e |
| institution | Directory Open Access Journal |
| issn | 2543-683X |
| language | English |
| last_indexed | 2024-03-07T21:33:55Z |
| publishDate | 2024-02-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Data and Information Science |
| spelling | doaj.art-acda4d5dc60545ccaa2cc31bda37189e2024-02-26T14:29:56ZengSciendoJournal of Data and Information Science2543-683X2024-02-019110112310.2478/jdis-2024-0009A new evolutional model for institutional field knowledge flow networkGuo Jinzhong0Wang Kai1Liao Xueqin2Liu Xiaoling3School of Information Management, Xinjiang University of Finance and Economics, Urumqi, ChinaSchool of Information Management, Xinjiang University of Finance and Economics, Urumqi, ChinaSchool of Information Management, Xinjiang University of Finance and Economics, Urumqi, ChinaSchool of Information Management, Xinjiang University of Finance and Economics, Urumqi, ChinaThis paper aims to address the limitations in existing research on the evolution of knowledge flow networks by proposing a meso-level institutional field knowledge flow network evolution model (IKM). The purpose is to simulate the construction process of a knowledge flow network using knowledge organizations as units and to investigate its effectiveness in replicating institutional field knowledge flow networks.https://doi.org/10.2478/jdis-2024-0009knowledge flow networksevolutionary mechanismba modelknowledge units |
| spellingShingle | Guo Jinzhong Wang Kai Liao Xueqin Liu Xiaoling A new evolutional model for institutional field knowledge flow network Journal of Data and Information Science knowledge flow networks evolutionary mechanism ba model knowledge units |
| title | A new evolutional model for institutional field knowledge flow network |
| title_full | A new evolutional model for institutional field knowledge flow network |
| title_fullStr | A new evolutional model for institutional field knowledge flow network |
| title_full_unstemmed | A new evolutional model for institutional field knowledge flow network |
| title_short | A new evolutional model for institutional field knowledge flow network |
| title_sort | new evolutional model for institutional field knowledge flow network |
| topic | knowledge flow networks evolutionary mechanism ba model knowledge units |
| url | https://doi.org/10.2478/jdis-2024-0009 |
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