IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v22y2016i4d10.1007_s10588-016-9213-5.html
   My bibliography  Save this article

The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories

Author

Listed:
  • Özgür Özmen

    (Oak Ridge National Laboratory)

  • Levent Yilmaz

    (Auburn University)

  • Jeffrey Smith

    (Auburn University)

Abstract

Emerging cyber-infrastructure tools are enabling scientists to transparently co-develop, share, and communicate about real-time diverse forms of knowledge artifacts. In these environments, communication preferences of scientists are posited as an important factor affecting innovation capacity and robustness of social and knowledge network structures. Scientific knowledge creation in such communities is called global participatory science (GPS). Recently, using agent-based modeling and collective action theory as a basis, a complex adaptive social communication network model (CollectiveInnoSim) is implemented. This work leverages CollectiveInnoSim implementing communication preferences of scientists. Social network metrics and knowledge production patterns are used as proxy metrics to infer innovation potential of emergent knowledge and collaboration networks. The objective is to present the underlying communication dynamics of GPS in a form of computational model and delineate the impacts of various communication preferences of scientists on innovation potential of the collaboration network. Gained insight can ultimately help policy-makers to design GPS environments and promote innovation.

Suggested Citation

  • Özgür Özmen & Levent Yilmaz & Jeffrey Smith, 2016. "The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories," Computational and Mathematical Organization Theory, Springer, vol. 22(4), pages 521-548, December.
    • Handle: RePEc:spr:comaot:v:22:y:2016:i:4:d:10.1007_s10588-016-9213-5
    DOI: 10.1007/s10588-016-9213-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-016-9213-5
    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/s10588-016-9213-5?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. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    2. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    3. Becker, Gary S., 1978. "The Economic Approach to Human Behavior," University of Chicago Press Economics Books, University of Chicago Press, number 9780226041124, September.
    4. Guangyu Zou & Levent Yilmaz, 2011. "Dynamics of knowledge creation in global participatory science communities: open innovation communities from a network perspective," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 35-58, March.
    Full references (including those not matched with items on IDEAS)

    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. Stephen Carley & Alan L. Porter, 2012. "A forward diversity index," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 407-427, February.
    2. Lin Zhang & Ronald Rousseau & Wolfgang Glänzel, 2016. "Diversity of references as an indicator of the interdisciplinarity of journals: Taking similarity between subject fields into account," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1257-1265, May.
    3. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    4. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    5. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    6. Loet Leydesdorff & Dieter Franz Kogler & Bowen Yan, 2017. "Mapping patent classifications: portfolio and statistical analysis, and the comparison of strengths and weaknesses," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1573-1591, September.
    7. Hackett, Edward J. & Leahey, Erin & Parker, John N. & Rafols, Ismael & Hampton, Stephanie E. & Corte, Ugo & Chavarro, Diego & Drake, John M. & Penders, Bart & Sheble, Laura & Vermeulen, Niki & Vision,, 2021. "Do synthesis centers synthesize? A semantic analysis of topical diversity in research," Research Policy, Elsevier, vol. 50(1).
    8. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    9. Xian Li & Ronald Rousseau & Liming Liang & Fangjie Xi & Yushuang Lü & Yifan Yuan & Xiaojun Hu, 2022. "Is low interdisciplinarity of references an unexpected characteristic of Nobel Prize winning research?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2105-2122, April.
    10. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    11. Yury Dranev & Maxim Kotsemir & Boris Syomin, 2018. "Diversity of research publications: relation to agricultural productivity and possible implications for STI policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1565-1587, September.
    12. Lina Xu & Steven Dellaportas & Zhiqiang Yang & Jin Wang, 2023. "More on the relationship between interdisciplinary accounting research and citation impact," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4779-4803, December.
    13. Lorenzo Cassi & Wilfriedo Mescheba & Élisabeth Turckheim, 2014. "How to evaluate the degree of interdisciplinarity of an institution?," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1871-1895, December.
    14. Lawson, Cornelia & Soós,Sándor, 2014. "A Thematic Mobility Measure for Econometric Analysis," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201408, University of Turin.
    15. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    16. Wolfgang Glänzel & Koenraad Debackere, 2022. "Various aspects of interdisciplinarity in research and how to quantify and measure those," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5551-5569, September.
    17. Zhichao Ba & Yujie Cao & Jin Mao & Gang Li, 2019. "A hierarchical approach to analyzing knowledge integration between two fields—a case study on medical informatics and computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1455-1486, June.
    18. Fusillo, Fabrizio, 2020. "Are Green Inventions really more complex? Evidence from European Patents," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 202002, University of Turin.
    19. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    20. Kim, Hyeyoung & Park, Hyelin & Song, Min, 2022. "Developing a topic-driven method for interdisciplinarity analysis," Journal of Informetrics, Elsevier, vol. 16(2).

    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:comaot:v:22:y:2016:i:4:d:10.1007_s10588-016-9213-5. 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.