IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v49y2015i3p1023-1038.html
   My bibliography  Save this article

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

Author

Listed:
  • 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

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-014-0032-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-014-0032-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Faraji, Omid & Ezadpour, Mostafa & Rahrovi Dastjerdi, Alireza & Dolatzarei, Ehsan, 2022. "Conceptual structure of balanced scorecard research: A co-word analysis," Evaluation and Program Planning, Elsevier, vol. 94(C).
    2. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    3. Qian-Ru Zhang & Yue Li & Jia-Shu Liu & Yi-Dan Chen & Li-He Chai, 2017. "A dynamic co-word network-related approach on the evolution of China’s urbanization research," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1623-1642, June.
    4. Dongping Shi & Chengyu Xie & Jinmiao Wang & Lichun Xiong, 2021. "Changes in the Structures and Directions of Heavy Metal-Contaminated Soil Remediation Research from 1999 to 2020: A Bibliometric & Scientometric Study," IJERPH, MDPI, vol. 18(14), pages 1-14, July.
    5. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    6. Wang, Yuan & Lai, Nan & Zuo, Jian & Chen, Guanyi & Du, Huibin, 2016. "Characteristics and trends of research on waste-to-energy incineration: A bibliometric analysis, 1999–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 95-104.
    7. Daoyan Guo & Hong Chen & Ruyin Long & Hui Lu & Qianyi Long, 2017. "A Co-Word Analysis of Organizational Constraints for Maintaining Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    8. Gian Maria Campedelli, 2021. "Where are we? Using Scopus to map the literature at the intersection between artificial intelligence and research on crime," Journal of Computational Social Science, Springer, vol. 4(2), pages 503-530, November.
    9. Manuel Castriotta & Michela Loi & Elona Marku & Luca Naitana, 2019. "What’s in a name? Exploring the conceptual structure of emerging organizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 407-437, February.
    10. Giacomo Marzi & Marina Dabić & Tugrul Daim & Edwin Garces, 2017. "Product and process innovation in manufacturing firms: a 30-year bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 673-704, November.
    11. Mengyang Wang & Lihe Chai, 2018. "Three new bibliometric indicators/approaches derived from keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 721-750, August.
    12. Rui Yang & Guoming Du & Ziwei Duan & Mengjin Du & Xin Miao & Yanhong Tang, 2020. "Knowledge System Analysis on Emergency Management of Public Health Emergencies," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    13. Meng Lv & Shaohong Feng, 2021. "Temporary teams: current research focus and future directions," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 1-18, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alnuaimi, Tufool & Opsahl, Tore & George, Gerard, 2012. "Innovating in the periphery: The impact of local and foreign inventor mobility on the value of Indian patents," Research Policy, Elsevier, vol. 41(9), pages 1534-1543.
    2. Harpreet Singh & David Kryscynski & Xinxin Li & Ram Gopal, 2016. "Pipes, pools, and filters: How collaboration networks affect innovative performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1649-1666, August.
    3. Soda, Giuseppe & Zaheer, Akbar & Sun, Xiaoming & Cui, Wentian, 2021. "Brokerage evolution in innovation contexts: Formal structure, network neighborhoods and knowledge," Research Policy, Elsevier, vol. 50(10).
    4. Li, Qing & Zhang, Huaige & Hong, Xianpei, 2020. "Knowledge structure of technology licensing based on co-keywords network: A review and future directions," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 154-165.
    5. Thomas J. Hannigan & Alessandra Perri & Vittoria Giada Scalera, 2016. "The Dispersed Multinational: Does Connectedness Across Spatial Dimensions Lead to Broader Technological Search?," Working Papers 11, Department of Management, Università Ca' Foscari Venezia.
    6. S. Ravikumar & Ashutosh Agrahari & S. N. Singh, 2015. "Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 929-955, January.
    7. Alfonso Gambardella & Martin Ganco & Florence Honoré, 2015. "Using What You Know: Patented Knowledge in Incumbent Firms and Employee Entrepreneurship," Organization Science, INFORMS, vol. 26(2), pages 456-474, April.
    8. Massimiliano Ferrara & Roberto Mavilia & Bruno Antonio Pansera, 2017. "Extracting knowledge patterns with a social network analysis approach: an alternative methodology for assessing the impact of power inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1593-1625, December.
    9. Leonardo Reyes-Gonzalez & Claudia N. Gonzalez-Brambila & Francisco Veloso, 2016. "Using co-authorship and citation analysis to identify research groups: a new way to assess performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1171-1191, September.
    10. Baruffaldi, Stefano H. & Di Maio, Giorgio & Landoni, Paolo, 2017. "Determinants of PhD holders’ use of social networking sites: An analysis based on LinkedIn," Research Policy, Elsevier, vol. 46(4), pages 740-750.
    11. Joana Almodovar & Aurora A.C. Teixeira, 2014. "Assessing the Importance of Local Supporting Organizations in the Automotive Industry: A Hybrid Dynamic Framework of Innovation Networks," European Planning Studies, Taylor & Francis Journals, vol. 22(4), pages 841-865, April.
    12. Guillermo Armando Ronda-Pupo & Luis Ángel Guerras-Martín, 2010. "Dynamics of the scientific community network within the strategic management field through the Strategic Management Journal 1980–2009: the role of cooperation," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 821-848, December.
    13. Wei Zhang & Yongli Li & Wenyao Zhang & Shengli Dai, 2019. "Social network evolution in creative process of CNPD teams: a case study of Chinese companies," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 143-181, January.
    14. Belkhouja, Mustapha & Fattoum, Senda & Yoon, Hyungseok (David), 2021. "Does greater diversification increase individual productivity? The moderating effect of attention allocation," Research Policy, Elsevier, vol. 50(6).
    15. Maki Kato & Asao Ando, 2017. "National ties of international scientific collaboration and researcher mobility found in Nature and Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 673-694, February.
    16. Qian-Jin Zong & Hong-Zhou Shen & Qin-Jian Yuan & Xiao-Wei Hu & Zhi-Ping Hou & Shun-Guo Deng, 2013. "Doctoral dissertations of Library and Information Science in China: A co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 781-799, February.
    17. Giuliani, Elisa & Martinelli, Arianna & Rabellotti, Roberta, 2016. "Is Co-Invention Expediting Technological Catch Up? A Study of Collaboration between Emerging Country Firms and EU Inventors," World Development, Elsevier, vol. 77(C), pages 192-205.
    18. DOGAN,Mesut & DOGAN,Husna, 2020. "Knowledge Sharing, Innovation And Firm Performance: Evidence From Turkey," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 24(1), pages 36-52, March.
    19. Jan Fagerberg & Bengt-Åke Lundvall & Martin Srholec, 2018. "Global Value Chains, National Innovation Systems and Economic Development," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 30(3), pages 533-556, July.
    20. Meinel, Martin & Eismann, Tobias T. & Baccarella, Christian V. & Fixson, Sebastian K. & Voigt, Kai-Ingo, 2020. "Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study," European Management Journal, Elsevier, vol. 38(4), pages 661-671.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:49:y:2015:i:3:p:1023-1038. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.