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The hot spot transformation in the research evolution of maker

Author

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  • Ying Chen

    (Zhejiang University of Finance and Economics)

  • Can Wu

    (Hangzhou Dianzi University)

Abstract

The rapid development of digital technology together with the grassroots innovation has led to a new landmark of maker culture. Recently, a search with the query of ‘‘makerspace’’, ‘‘maker movement’’ and ‘‘maker culture’’ in Google Scholar found over 10,000 documents in total. As the volume of the literature grows rapidly, thus, a systematic review of maker research and its current challenges becomes essential. This study surveys the literature of maker between 1975 and 2016. The overall structure of its intellectual landscape is illustrated in terms of thematic concentrations of knowledge clusters of maker study, hot research categories and keywords, major contributing factors including contributing countries, organizations, and authors. Our review is based on 836 bibliographic records retrieved from the ISI Web of Science and visualized by the scientometric software of CiteSpace. This application results in comprehensive knowledge maps of maker research. The study identifies major intellectual cooperation network, co-occurrence keywords, research clusters and landmark articles, including: (1) the thematic clusters of ‘‘maker movement’’, ‘‘DIY culture and extended milieu’’, ‘‘craftsman hero’’ reflects the biggest knowledge base clusters of maker study. (2) “Physical computing”, “maker space”, “maker movement”, “3D printer” are the major frontiers of maker research based on analysis of citation burst. (3) In terms of contributing countries, institutions, authors, the major driving force of maker research is from the United States of America, England and Germany, with University of California Berkeley, Georgia Institute of Technology and Massachusetts Institute of Technology being major contributing institutions. Paulo Blikstein from Stanford University USA, Vasilis Kostakis from Tallinn University of Technology Estonia, Hans-Joachim Böhme from Technische Universität Ilmenau German all have published three articles and rank at the top of the author list.

Suggested Citation

  • Ying Chen & Can Wu, 2017. "The hot spot transformation in the research evolution of maker," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1307-1324, December.
  • Handle: RePEc:spr:scient:v:113:y:2017:i:3:d:10.1007_s11192-017-2542-4
    DOI: 10.1007/s11192-017-2542-4
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    References listed on IDEAS

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    1. 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.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Dale Dougherty, 2012. "The Maker Movement," Innovations: Technology, Governance, Globalization, MIT Press, vol. 7(3), pages 11-14, July.
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    Citations

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    Cited by:

    1. Federico Ferretti & Harro van Lente, 2022. "The promise of the Maker Movement: policy expectations versus community criticisms [Self-Help, Social Work and Empowerment]," Science and Public Policy, Oxford University Press, vol. 49(1), pages 18-27.
    2. Sarpong, David & Ofosu, George & Botchie, David & Clear, Fintan, 2020. "Do-it-yourself (DiY) science: The proliferation, relevance and concerns," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Gaofeng Wang & Shuai Li & Zihao Zhang & Yanning Hou & Changhoon Shin, 2023. "A Visual Knowledge Map Analysis of Cross-Border Agri-Food Supply Chain Research Based on CiteSpace," Sustainability, MDPI, vol. 15(14), pages 1-28, July.
    4. Liping Fu & Zhaohui Sun & Lanping He & Feng Liu & Xiaoli Jing, 2019. "Global Long-Term Care Research: A Scientometric Review," IJERPH, MDPI, vol. 16(12), pages 1-20, June.
    5. Sandeep Kumar Sood & Keshav Singh Rawat, 2021. "A scientometric analysis of ICT-assisted disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2863-2881, April.
    6. Lingling Wang & Enjun Xia & Hao Li & Wei Wang, 2019. "A Bibliometric Analysis of Crowdsourcing in the Field of Public Health," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    7. Weiwei Pan & Lirong Jian & Tao Liu, 2019. "Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1407-1434, December.
    8. Ying Chen, 2022. "The hot spots and frontiers of research on the Grand Canal Culture Belt in China: Literature and academic trends," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-14, December.
    9. Arvind Upadhyay & Anil Kumar & Vikas Kumar & Ahmed Alzaben, 2021. "A novel business strategies framework of do‐it‐yourself practices in logistics to minimise environmental waste and improve performance," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3882-3892, December.
    10. Saulo Cardoso Maia & Gideon Carvalho Benedicto & José Willer Prado & David Alastair Robb & Oscar Neto Almeida Bispo & Mozar José Brito, 2019. "Mapping the literature on credit unions: a bibliometric investigation grounded in Scopus and Web of Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 929-960, September.

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