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Analysis on the Evolution Path and Hotspot of Knowledge Innovation Study Based on Knowledge Map

Author

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  • Hongyu Liu

    (School of Management, Jilin University, Changchun City 130012, China)

  • Shukuan Zhao

    (School of Management, Jilin University, Changchun City 130012, China)

  • Ouyang Xin

    (School of Economics, University of Chinese Academy of Social Sciences, Beijing 102488, China)

Abstract

Innovation is the main driving force for promoting high-quality economic development. The ability for knowledge innovation and knowledge transformation productivity reflects the ability for scientific research transformation and the comprehensive strength of the science and technology of the country. This paper takes the knowledge innovation literature collected in the Web of Science database as its research object, carries on the knowledge atlas analysis with Citespace IV software, makes a knowledge atlas of the space-time distribution, document co-citation and keyword co-occurrence, respectively, and further explores the distribution status, changing trend and hot areas of knowledge innovation research. (1) American and British scholars have led the research in knowledge innovation, and Chinese scholars have followed the international frontier in this field; (2) The research evolution path of knowledge innovation can be summarized as follows: the research object is gradually detailed from the macro-enterprise level to the micro-enterprise level. The research hotspots are as follows: (3) The four hotspots of knowledge innovation research are based on research on the knowledge innovation system within enterprises, research on the knowledge innovation mode based on innovation cooperation among enterprises, and research on the knowledge innovation among enterprises based on inter-organizational knowledge. Research on the knowledge innovation path of knowledge sharing and enterprise knowledge innovation development is based on the global strategic orientation. This paper clarifies the evolution path and development trend of knowledge innovation research, offering a summary for further research and motivating professionals to research future knowledge innovation.

Suggested Citation

  • Hongyu Liu & Shukuan Zhao & Ouyang Xin, 2019. "Analysis on the Evolution Path and Hotspot of Knowledge Innovation Study Based on Knowledge Map," Sustainability, MDPI, vol. 11(19), pages 1-14, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5528-:d:273998
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    References listed on IDEAS

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    1. Chen, Chung-Jen & Huang, Jing-Wen, 2009. "Strategic human resource practices and innovation performance -- The mediating role of knowledge management capacity," Journal of Business Research, Elsevier, vol. 62(1), pages 104-114, January.
    2. Antonio L. Leal-Rodríguez & José L. Roldán & Antonio G. Leal & Jaime Ortega-Gutiérrez, 2013. "Knowledge management, relational learning, and the effectiveness of innovation outcomes," The Service Industries Journal, Taylor & Francis Journals, vol. 33(13-14), pages 1294-1311, October.
    3. Santos, Antonio Bob, 2015. "Open Innovation research: trends and influences – a bibliometric analysis," MPRA Paper 67648, University Library of Munich, Germany.
    4. Steven Casper & Henrik Glimstedt, 2001. "Economic Organization, Innovation Systems, and the Internet," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 17(2), pages 265-281, Summer.
    5. Lin, Min & Li, Nan, 2010. "Scale-free network provides an optimal pattern for knowledge transfer," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(3), pages 473-480.
    6. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    7. Li, Munan & Porter, Alan L. & Suominen, Arho, 2018. "Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 285-296.
    8. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    9. Bernard L. Simonin, 1999. "Ambiguity and the process of knowledge transfer in strategic alliances," Strategic Management Journal, Wiley Blackwell, vol. 20(7), pages 595-623, July.
    10. Henk W. Volberda & Nicolai J. Foss & Marjorie A. Lyles, 2010. "PERSPECTIVE---Absorbing the Concept of Absorptive Capacity: How to Realize Its Potential in the Organization Field," Organization Science, INFORMS, vol. 21(4), pages 931-951, August.
    11. Yu, Yan & Dong, Xiao-Ying & Shen, Kathy Ning & Khalifa, Mohamed & Hao, Jin-Xing, 2013. "Strategies, technologies, and organizational learning for developing organizational innovativeness in emerging economies," Journal of Business Research, Elsevier, vol. 66(12), pages 2507-2514.
    12. Su-Li Chang & Yao-Hsien Lee & Chien-Yuan Lin & Tai-Shan Hu, 2010. "Consideration of Proximity in Selection of Residential Location by Science and Technology Workers: Case Study of Hsinchu, Taiwan," European Planning Studies, Taylor & Francis Journals, vol. 18(8), pages 1317-1342, August.
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    Cited by:

    1. Feifei Wang & Jia Liu & Xiaoyong Qiao, 2022. "An Empirical Study on the Relationship between Scientific Collaboration and Knowledge Production of the Countries along the Belt and Road," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    2. Chen Li & Xiaohui Ji & Xuegang Luo, 2020. "Visualizing Hotspots and Future Trends in Phytomining Research Through Scientometrics," Sustainability, MDPI, vol. 12(11), pages 1-17, June.
    3. Yanna Zhu & Gang He & Keyu Bao, 2022. "Driving Path and System Simulation of Green Innovation Capability of Science and Technology Enterprises in Yangtze River Delta," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    4. Xiaodan Kong & Qi Xu & Tao Zhu, 2019. "Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 12(1), pages 1-23, December.

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