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Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011

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  • Wei Zhang
  • Qingpu Zhang
  • Bo Yu
  • Limei Zhao

Abstract

To clarify the spatial structure of creativity research can let us clearly understand the specific distribution of research paradigms, thus contributing to better discover other topics we need to study. We picked out 163 top keywords from 4,575 papers on creativity research in the Web of Science Database during the period of 1992–2011, and drawn the keywords network and it spatial structure of major research topics and paradigms by employing K-core of SNA, Co-word analysis, and MDS and the functions of software UCINET 6.0 and NetDraw. The analysis results show that there are five main topics on creativity research: practice applications of creativity, pathology and physiology of creativity, individual-level creativity, organizational-level creativity, and the basic theories and methodologies of creativity, and the regular spatial structure. Copyright Springer Science+Business Media Dordrecht 2015

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  • Wei Zhang & Qingpu Zhang & Bo Yu & Limei Zhao, 2015. "Knowledge map of creativity research based on keywords network and co-word analysis, 1992–2011," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1023-1038, May.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:3:p:1023-1038
    DOI: 10.1007/s11135-014-0032-9
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    1. Simon Rodan & Charles Galunic, 2004. "More than network structure: how knowledge heterogeneity influences managerial performance and innovativeness," Strategic Management Journal, Wiley Blackwell, vol. 25(6), pages 541-562, June.
    2. Singh, Jasjit, 2008. "Distributed R&D, cross-regional knowledge integration and quality of innovative output," Research Policy, Elsevier, vol. 37(1), pages 77-96, February.
    3. Henry Sauermann & Wesley M. Cohen, 2010. "What Makes Them Tick? Employee Motives and Firm Innovation," Management Science, INFORMS, vol. 56(12), pages 2134-2153, December.
    4. Davis, Mark A., 2009. "Understanding the relationship between mood and creativity: A meta-analysis," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(1), pages 25-38, January.
    5. Limei Zhao & Qingpu Zhang, 2011. "Mapping knowledge domains of Chinese digital library research output, 1994–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 51-87, October.
    6. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    7. Neal Coulter & Ira Monarch & Suresh Konda, 1998. "Software engineering as seen through its research literature: A study in co‐word analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(13), pages 1206-1223.
    8. Detelin S. Elenkov & William Judge & Peter Wright, 2005. "Strategic leadership and executive innovation influence: an international multi‐cluster comparative study," Strategic Management Journal, Wiley Blackwell, vol. 26(7), pages 665-682, July.
    9. Kenneth R. MacCrimmon & Christian Wagner, 1994. "Stimulating Ideas Through Creative Software," Management Science, INFORMS, vol. 40(11), pages 1514-1532, November.
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