IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v83y2010i3d10.1007_s11192-009-0137-4.html
   My bibliography  Save this article

An advanced diffusion model to identify emergent research issues: the case of optoelectronic devices

Author

Listed:
  • Edgar Schiebel

    (AIT Austrian Institute of Technology GmbH, Tech Gate Vienna)

  • Marianne Hörlesberger

    (AIT Austrian Institute of Technology GmbH, Tech Gate Vienna)

  • Ivana Roche

    (INIST-CNRS)

  • Claire François

    (INIST-CNRS)

  • Dominique Besagni

    (INIST-CNRS)

Abstract

Scientific progress in technology oriented research fields is made by incremental or fundamental inventions concerning natural science effects, materials, methods, tools and applications. Therefore our approach focuses on research activities of such technological elements on the basis of keywords in published articles. In this paper we show how emerging topics in the field of optoelectronic devices based on scientific literature data from the PASCAL-database can be identified. We use Results from PROMTECH project, whose principal objective was to produce a methodology allowing the identification of promising emerging technologies. In this project, the study of the intersection of Applied Sciences as well as Life (Biological & Medical) Sciences domains and Physics with bibliometric methods produced 45 candidate technological fields and the validation by expert panels led to a final selection of 10 most promising ones. These 45 technologies were used as reference fields. In order to detect the emerging research, we combine two methodological approaches. The first one introduces a new modelling of field terminology evolution based on bibliometric indicators: the diffusion model and the second one is a diachronic cluster analysis. With the diffusion model we identified single keywords that represent a high dynamic of the mentioned technology elements. The cluster analysis was used to recombine articles, where the identified keywords were used to technological topics in the field of optoelectronic devices. This methodology allows us to answer the following questions: Which technological aspects within our considered field can be detected? Which of them are already established and which of them are new? How are the topics linked to each other?

Suggested Citation

  • Edgar Schiebel & Marianne Hörlesberger & Ivana Roche & Claire François & Dominique Besagni, 2010. "An advanced diffusion model to identify emergent research issues: the case of optoelectronic devices," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 765-781, June.
    • Handle: RePEc:spr:scient:v:83:y:2010:i:3:d:10.1007_s11192-009-0137-4
    DOI: 10.1007/s11192-009-0137-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0137-4
    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/s11192-009-0137-4?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. Mogoutov, Andrei & Cambrosio, Alberto & Keating, Peter & Mustar, Philippe, 2008. "Biomedical innovation at the laboratory, clinical and commercial interface: A new method for mapping research projects, publications and patents in the field of microarrays," Journal of Informetrics, Elsevier, vol. 2(4), pages 341-353.
    2. F. W. Lancaster & Ja‐Lih Lee, 1985. "Bibliometric techniques applied to issues management: A case study," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 36(6), pages 389-397, November.
    3. Mogoutov, Andrei & Kahane, Bernard, 2007. "Data search strategy for science and technology emergence: A scalable and evolutionary query for nanotechnology tracking," Research Policy, Elsevier, vol. 36(6), pages 893-903, July.
    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. Yuan Zhou & Heng Lin & Yufei Liu & Wei Ding, 2019. "A novel method to identify emerging technologies using a semi-supervised topic clustering model: a case of 3D printing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 167-185, July.
    2. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
    3. Xiaoguang Wang & Qikai Cheng & Wei Lu, 2014. "Analyzing evolution of research topics with NEViewer: a new method based on dynamic co-word networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1253-1271, November.
    4. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    5. Jean-Charles Lamirel, 2012. "A new approach for automatizing the analysis of research topics dynamics: application to optoelectronics research," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 151-166, October.

    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. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    2. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
    3. Ramani, Shyama V. & Chowdhury, Nupur & Coronini, Roger & Reid, Susan, 2011. "On India's plunge into Nanotechnology: What are good ways to catch-up?," MERIT Working Papers 2011-020, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. Battke, Benedikt & Schmidt, Tobias S. & Stollenwerk, Stephan & Hoffmann, Volker H., 2016. "Internal or external spillovers—Which kind of knowledge is more likely to flow within or across technologies," Research Policy, Elsevier, vol. 45(1), pages 27-41.
    5. Patrick Herron & Aashish Mehta & Cong Cao & Timothy Lenoir, 2016. "Research diversification and impact: the case of national nanoscience development," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 629-659, November.
    6. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    7. Vincent Mangematin & Khalid Errabi & Caroline Gauthier, 2011. "Large players in the nanogame: dedicated nanotech subsidiaries or distributed nanotech capabilities?," The Journal of Technology Transfer, Springer, vol. 36(6), pages 640-664, December.
    8. Christina G. Siontorou, 2023. "Fair Development Transition of Lignite Areas: Key Challenges and Sustainability Prospects," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    9. Qingjun Zhao & Jiancheng Guan, 2012. "Modeling the dynamic relation between science and technology in nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 561-579, February.
    10. Vincent Mangematin & Khalid Errabi, 2012. "The Determinants of Science-Based Cluster Growth: The Case of Nanotechnology," Environment and Planning C, , vol. 30(1), pages 128-146, February.
    11. Guo Chen & Jing Chen & Yu Shao & Lu Xiao, 2023. "Automatic noise reduction of domain-specific bibliographic datasets using positive-unlabeled learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1187-1204, February.
    12. Barirani, Ahmad & Beaudry, Catherine & Agard, Bruno, 2017. "Can universities profit from general purpose inventions? The case of Canadian nanotechnology patents," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 271-283.
    13. Philippe Larédo & Carole Rieu & Lionel Villard & Bernard Kahane & Aurélie Delemarle & Corine Genet & Vincent Mangematin, 2009. "Emergence des nanotechnologies : Vers un nouveau "modèle industriel "?," Post-Print hal-00424261, HAL.
    14. Shin, Hyunjin & Woo, Hyun Goo & Sohn, Kyung-Ah & Lee, Sungjoo, 2023. "Comparing research trends with patenting activities in the biomedical sector: The case of dementia," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    15. Mariia Shkolnykova, 2021. "Who shapes plant biotechnology in Germany? Joint analysis of the evolution of co-authors’ and co-inventors’ networks," Review of Evolutionary Political Economy, Springer, vol. 2(1), pages 27-54, April.
    16. William W. Hood & Concepción S. Wilson, 2003. "Informetric studies using databases: Opportunities and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(3), pages 587-608, November.
    17. Krzysztof Klincewicz, 2016. "The emergent dynamics of a technological research topic: the case of graphene," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 319-345, January.
    18. Jeong, Do-Heon & Song, Min, 2014. "Time gap analysis by the topic model-based temporal technique," Journal of Informetrics, Elsevier, vol. 8(3), pages 776-790.
    19. W. W. Hood & Concepción S. Wilson, 1999. "The distribution of bibliographic records in databases using different counting methods for duplicate records," Scientometrics, Springer;Akadémiai Kiadó, vol. 46(3), pages 473-486, November.
    20. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.

    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:83:y:2010:i:3:d:10.1007_s11192-009-0137-4. 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.