IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v121y2019i1d10.1007_s11192-019-03182-0.html
   My bibliography  Save this article

Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google

Author

Listed:
  • Rongying Zhao

    (Wuhan University
    Wuhan University
    Wuhan University)

  • Xinlai Li

    (Wuhan University
    Wuhan University
    Wuhan University)

  • Zhisen Liang

    (Wuhan University
    Wuhan University
    Wuhan University)

  • Danyang Li

    (Wuhan University
    Wuhan University
    Wuhan University)

Abstract

Science funding plays a guiding role in the development direction of scientific innovation. As one of research funding providers, private companies influence the development of science and technology (S&T) through their selective support. Thus, strategy and layout of enterprises in S&T can be revealed by analysing their funded papers. Taking Google as the example, the paper proposes an analytical method of funded papers by the combination of co-word analysis, clusters analysis and social network analysis, so as to explore the scientific strategy and collaboration preference. The total 2162 valid bibliographic records of papers supported by Google from the Thomson Reuters Web of Science are divided into four groups according to discipline clusters using Hierarchical Clustering Algorithm. Social network analysis is conducted to detect communities among keywords and institutions. The results demonstrate that Google shows different funding patterns between traditional research fields and emerging industries. Famous universities are the main funding targets of Google, and the important institutions can be divided into two groups.

Suggested Citation

  • Rongying Zhao & Xinlai Li & Zhisen Liang & Danyang Li, 2019. "Development strategy and collaboration preference in S&T of enterprises based on funded papers: a case study of Google," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 323-347, October.
    • Handle: RePEc:spr:scient:v:121:y:2019:i:1:d:10.1007_s11192-019-03182-0
    DOI: 10.1007/s11192-019-03182-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-019-03182-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-019-03182-0?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. Goldfarb, Brent, 2008. "The effect of government contracting on academic research: Does the source of funding affect scientific output," Research Policy, Elsevier, vol. 37(1), pages 41-58, February.
    2. Gulbrandsen, Magnus & Smeby, Jens-Christian, 2005. "Industry funding and university professors' research performance," Research Policy, Elsevier, vol. 34(6), pages 932-950, August.
    3. J. Rigby & K. Julian, 2014. "On the horns of a dilemma: does more funding for research lead to more research or a waste of resources that calls for optimization of researcher portfolios? An analysis using funding acknowledgement ," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1067-1075, November.
    4. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    5. Braun, Dietmar, 1998. "The role of funding agencies in the cognitive development of science," Research Policy, Elsevier, vol. 27(8), pages 807-821, December.
    6. Ashkan Ebadi & Andrea Schiffauerova, 2016. "How to boost scientific production? A statistical analysis of research funding and other influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1093-1116, March.
    7. Takanori Ida & Naomi Fukuzawa, 2013. "Effects of large-scale research funding programs: a Japanese case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1253-1273, March.
    8. Yi-Ching Liaw & Te-Yi Chan & Chin-Yuan Fan & Cheng-Hsin Chiang, 2014. "Can the technological impact of academic journals be evaluated? The practice of non-patent reference (NPR) analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 17-37, October.
    9. Xin Ying An & Qing Qiang Wu, 2011. "Co-word analysis of the trends in stem cells field based on subject heading weighting," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 133-144, July.
    10. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    11. Jaideep Ghosh & Avinash Kshitij & Sandeep Kadyan, 2015. "Functional information characteristics of large-scale research collaboration: network measures and implications," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1207-1239, February.
    12. Vanja Dukic & Hedibert F. Lopes & Nicholas G. Polson, 2012. "Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1410-1426, December.
    13. Vardakas, Konstantinos Z. & Tsopanakis, Grigorios & Poulopoulou, Alexandra & Falagas, Matthew E., 2015. "An analysis of factors contributing to PubMed's growth," Journal of Informetrics, Elsevier, vol. 9(3), pages 592-617.
    14. Fernanda Morillo, 2016. "Public–private interactions reflected through the funding acknowledgements," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1193-1204, September.
    15. Van Looy, Bart & Ranga, Marina & Callaert, Julie & Debackere, Koenraad & Zimmermann, Edwin, 2004. "Combining entrepreneurial and scientific performance in academia: towards a compounded and reciprocal Matthew-effect?," Research Policy, Elsevier, vol. 33(3), pages 425-441, April.
    16. Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    17. Dangzhi Zhao, 2010. "Characteristics and impact of grant-funded research: a case study of the library and information science field," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 293-306, August.
    18. Leila Tahmooresnejad & Catherine Beaudry & Andrea Schiffauerova, 2015. "The role of public funding in nanotechnology scientific production: Where Canada stands in comparison to the United States," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 753-787, January.
    19. 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.
    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. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    2. Chen, Hongshu & Jin, Qianqian & Wang, Ximeng & Xiong, Fei, 2022. "Profiling academic-industrial collaborations in bibliometric-enhanced topic networks: A case study on digitalization research," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Manoj Kumar Verma & Daud Khan & Mayank Yuvaraj, 2023. "Scientometric assessment of funded scientometrics and bibliometrics research (2011–2021)," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4305-4320, August.

    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. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.
    2. Star X. Zhao & Wen Lou & Alice M. Tan & Shuang Yu, 2018. "Do funded papers attract more usage?," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 153-168, April.
    3. Belén Álvarez-Bornstein & Adrián A. Díaz-Faes & María Bordons, 2019. "What characterises funded biomedical research? Evidence from a basic and a clinical domain," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 805-825, May.
    4. Mario Coccia & Greta Falavigna & Alessandro Manello, 2015. "The impact of hybrid public and market-oriented financing mechanisms on the scientific portfolio and performances of public research labs: a scientometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 151-168, January.
    5. Belén Álvarez-Bornstein & Fernanda Morillo & María Bordons, 2017. "Funding acknowledgments in the Web of Science: completeness and accuracy of collected data," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1793-1812, September.
    6. Auranen, Otto & Nieminen, Mika, 2010. "University research funding and publication performance--An international comparison," Research Policy, Elsevier, vol. 39(6), pages 822-834, July.
    7. Perkmann, Markus & King, Zella & Pavelin, Stephen, 2011. "Engaging excellence? Effects of faculty quality on university engagement with industry," Research Policy, Elsevier, vol. 40(4), pages 539-552, May.
    8. Weishu Liu & Li Tang & Guangyuan Hu, 2020. "Funding information in Web of Science: an updated overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1509-1524, March.
    9. Lili Miao & Vincent Larivi`ere & Feifei Wang & Yong-Yeol Ahn & Cassidy R. Sugimoto, 2023. "Cooperation and interdependence in global science funding," Papers 2308.08630, arXiv.org, revised Feb 2024.
    10. Zhao, Star X. & Tan, Alice M. & Yu, Shuang & Xu, Xin, 2018. "Analyzing the research funding in physics: The perspective of production and collaboration at institution level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 662-674.
    11. Ben Zhang & Xiaohong Wang, 2017. "Empirical study on influence of university-industry collaboration on research performance and moderating effect of social capital: evidence from engineering academics in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 257-277, October.
    12. Kazuki Nakajima & Kazuyuki Shudo & Naoki Masuda, 2023. "Higher-order rich-club phenomenon in collaborative research grant networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2429-2446, April.
    13. Mu-Hsuan Huang & Mei-Jhen Huang, 2018. "An analysis of global research funding from subject field and funding agencies perspectives in the G9 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 833-847, May.
    14. Nuha Zamzami & Andrea Schiffauerova, 2017. "The impact of individual collaborative activities on knowledge creation and transmission," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1385-1413, June.
    15. Cristian Mejia & Yuya Kajikawa, 2018. "Using acknowledgement data to characterize funding organizations by the types of research sponsored: the case of robotics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 883-904, March.
    16. Xia Fan & Xiaowan Yang & Zhou Yu, 2021. "Effect of basic research and applied research on the universities’ innovation capabilities: the moderating role of private research funding," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5387-5411, July.
    17. Andrea Bonaccorsi & Brigida Blasi & Carmela Anna Nappi & Sandra Romagnosi, 2022. "Quality of research as source and signal: revisiting the valorization process beyond substitution vs complementarity," The Journal of Technology Transfer, Springer, vol. 47(2), pages 407-434, April.
    18. Beaudry, Catherine & Allaoui, Sedki, 2012. "Impact of public and private research funding on scientific production: The case of nanotechnology," Research Policy, Elsevier, vol. 41(9), pages 1589-1606.
    19. Star X. Zhao & Shuang Yu & Alice M. Tan & Xin Xu & Haiyan Yu, 2016. "Global pattern of science funding in economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 463-479, October.
    20. Wenjing Wang & Yiwei Liu, 2022. "Industrial funding and university technology transfer: the moderating role of intellectual property rights enforcement," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1549-1572, October.

    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:scient:v:121:y:2019:i:1:d:10.1007_s11192-019-03182-0. 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.