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Combinatorial knowledge dynamics, innovative performance, and transition studies
Cross-domain research and development has prevailed in regional transformation and disruptive innovation in the last 15 years. Recently, a new concept, termed combinatorial knowledge bases (CKBs), offers insights into combining knowledge dynamics and is considered a good approach to explore recombin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073625/ http://dx.doi.org/10.1007/s11442-023-2102-1 |
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author | Xue, Shuaijun Liu, Chengliang |
author_facet | Xue, Shuaijun Liu, Chengliang |
author_sort | Xue, Shuaijun |
collection | PubMed |
description | Cross-domain research and development has prevailed in regional transformation and disruptive innovation in the last 15 years. Recently, a new concept, termed combinatorial knowledge bases (CKBs), offers insights into combining knowledge dynamics and is considered a good approach to explore recombinant innovative activities. Here, we review the literature on CKBs in Western economic geography, and we introduce a research agenda for CKBs in China’s economic geography. Concerning the latter, four aspects are elaborated: the co-evolution of the innovation chain and industrial chain, the geography of innovative activiinnovative entrepreneurship and new path development, and innovation system reconfiguration. This paper contributes to theoretical studies of China’s geography by linking CKBs to Chinese-specific phenomena. |
format | Online Article Text |
id | pubmed-10073625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100736252023-04-05 Combinatorial knowledge dynamics, innovative performance, and transition studies Xue, Shuaijun Liu, Chengliang J. Geogr. Sci. Research Articles Cross-domain research and development has prevailed in regional transformation and disruptive innovation in the last 15 years. Recently, a new concept, termed combinatorial knowledge bases (CKBs), offers insights into combining knowledge dynamics and is considered a good approach to explore recombinant innovative activities. Here, we review the literature on CKBs in Western economic geography, and we introduce a research agenda for CKBs in China’s economic geography. Concerning the latter, four aspects are elaborated: the co-evolution of the innovation chain and industrial chain, the geography of innovative activiinnovative entrepreneurship and new path development, and innovation system reconfiguration. This paper contributes to theoretical studies of China’s geography by linking CKBs to Chinese-specific phenomena. Science Press 2023-04-05 2023 /pmc/articles/PMC10073625/ http://dx.doi.org/10.1007/s11442-023-2102-1 Text en © Science in China Press 2023 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Articles Xue, Shuaijun Liu, Chengliang Combinatorial knowledge dynamics, innovative performance, and transition studies |
title | Combinatorial knowledge dynamics, innovative performance, and transition studies |
title_full | Combinatorial knowledge dynamics, innovative performance, and transition studies |
title_fullStr | Combinatorial knowledge dynamics, innovative performance, and transition studies |
title_full_unstemmed | Combinatorial knowledge dynamics, innovative performance, and transition studies |
title_short | Combinatorial knowledge dynamics, innovative performance, and transition studies |
title_sort | combinatorial knowledge dynamics, innovative performance, and transition studies |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073625/ http://dx.doi.org/10.1007/s11442-023-2102-1 |
work_keys_str_mv | AT xueshuaijun combinatorialknowledgedynamicsinnovativeperformanceandtransitionstudies AT liuchengliang combinatorialknowledgedynamicsinnovativeperformanceandtransitionstudies |