IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v123y2018icp407-416.html
   My bibliography  Save this article

A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review

Author

Listed:
  • Moro, Alberto
  • Boelman, Elisa
  • Joanny, Geraldine
  • Garcia, Juan Lopez

Abstract

This paper compares the results of technology mapping from bibliometric analysis and results from expert review to identify emerging solar photovoltaic (PV) technologies. The bibliometric analysis is based on “Tools for Innovation Monitoring” (TIM), a new software code developed by the Joint Research Centre. With this text-mining software a set of relevant keywords is extracted through frequency analysis from a corpus of pertinent scientific publications. Keywords obtained by quantitative analysis by TIM are tested against results from qualitative cognitive analysis by an international panel of PV technology experts by means of a set of proposed indicators. The technologies identified by the PV experts are well represented amongst the most frequently occurring (highest ranked) keywords retrieved by TIM. The more salient keywords tend to correspond to the relatively more established technologies such as dye sensitised solar cells, organic PV and more recently-developed technologies such as perovskites. These high rated/developed keywords/technologies can be relatively straightforwardly detected through bibliometric analysis. Contrary to that, keywords designating the most emerging technologies like ferroelectric PV, hot carriers and multiple exciton generation solar cells tend to occur much less frequently and therefore provide weaker signals. These weak signals can be important in foresight.

Suggested Citation

  • Moro, Alberto & Boelman, Elisa & Joanny, Geraldine & Garcia, Juan Lopez, 2018. "A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review," Renewable Energy, Elsevier, vol. 123(C), pages 407-416.
    • Handle: RePEc:eee:renene:v:123:y:2018:i:c:p:407-416
    DOI: 10.1016/j.renene.2018.02.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148118301599
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2018.02.016?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. Robert M. Losee, 2001. "Term dependence: A basis for Luhn and Zipf models," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(12), pages 1019-1025.
    2. Loet Leydesdorff, 2015. "Can technology life-cycles be indicated by diversity in patent classifications? The crucial role of variety," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1441-1451, December.
    3. Rizzi, Francesco & van Eck, Nees Jan & Frey, Marco, 2014. "The production of scientific knowledge on renewable energies: Worldwide trends, dynamics and challenges and implications for management," Renewable Energy, Elsevier, vol. 62(C), pages 657-671.
    4. Effie Amanatidou & Maurits Butter & Vicente Carabias & Totti Könnölä & Miriam Leis & Ozcan Saritas & Petra Schaper-Rinkel & Victor van Rij, 2012. "On concepts and methods in horizon scanning: Lessons from initiating policy dialogues on emerging issues," Science and Public Policy, Oxford University Press, vol. 39(2), pages 208-221, March.
    5. Gangan Prathap, 2014. "A three-dimensional bibliometric evaluation of research in polymer solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 889-898, October.
    6. Sanjay K. Arora & Alan L. Porter & Jan Youtie & Philip Shapira, 2013. "Capturing new developments in an emerging technology: an updated search strategy for identifying nanotechnology research outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(1), pages 351-370, April.
    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. Daria A. Pavlova & Yulia V. Milshina & Konstantin O. Vishnevskiy & Ozcan Saritas, 2018. "The Role Of Wild Cards Analysis In Foresight Studies: The Case Of Russia," HSE Working papers WP BRP 89/STI/2018, National Research University Higher School of Economics.
    2. Zamani, Mehdi & Yalcin, Haydar & Naeini, Ali Bonyadi & Zeba, Gordana & Daim, Tugrul U, 2022. "Developing metrics for emerging technologies: identification and assessment," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Xiaoli Wang & Yun Liu & Lingdi Chen & Yifan Zhang, 2022. "Correlation Monitoring Method and model of Science-Technology-Industry in the AI Field: A Case of the Neural Network," SAGE Open, , vol. 12(4), pages 21582440221, December.
    4. Parraguez, Pedro & Škec, Stanko & e Carmo, Duarte Oliveira & Maier, Anja, 2020. "Quantifying technological change as a combinatorial process," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Espécie, Mariana de Assis & de Carvalho, Pedro Ninô & Pinheiro, Maria Fernanda Bacile & Rosenthal, Vinicius Mesquita & da Silva, Leyla A. Ferreira & Pinheiro, Mariana Rodrigues de Carvalhaes & Espig, , 2019. "Ecosystem services and renewable power generation: A preliminary literature review," Renewable Energy, Elsevier, vol. 140(C), pages 39-51.
    6. Yun, Sunyoung & Lee, Joosung & Lee, Sungjoo, 2019. "Technology development strategies and policy support for the solar energy industry under technological turbulence," Energy Policy, Elsevier, vol. 124(C), pages 206-214.

    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. 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.
    2. Ronald Rousseau, 2018. "The repeat rate: from Hirschman to Stirling," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 645-653, July.
    3. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    4. Gill Ringland, 2013. "Future as Unexplored Domain: Ñonnecting Foresight to the Making Strategic Decisions," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 7(4), pages 60-69.
    5. Giovanni Matteo & Pierfrancesco Nardi & Stefano Grego & Caterina Guidi, 2018. "Bibliometric analysis of Climate Change Vulnerability Assessment research," Environment Systems and Decisions, Springer, vol. 38(4), pages 508-516, December.
    6. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    7. Ad van den Oord & Arjen van Witteloostuijn, 2018. "A multi-level model of emerging technology: An empirical study of the evolution of biotechnology from 1976 to 2003," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-27, May.
    8. Na Liu & Jiancheng Guan, 2015. "Dynamic evolution of collaborative networks: evidence from nano-energy research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1895-1919, March.
    9. Nunes, L.J.R. & Matias, J.C.O. & Catalão, J.P.S., 2016. "Wood pellets as a sustainable energy alternative in Portugal," Renewable Energy, Elsevier, vol. 85(C), pages 1011-1016.
    10. Beatriz Barros & Ana Fernández-Zubieta & Raul Fidalgo-Merino & Francisco Triguero, 2018. "Scientific knowledge percolation process and social impact: A case study on the biotechnology and microbiology perceptions on Twitter," Science and Public Policy, Oxford University Press, vol. 45(6), pages 804-814.
    11. Stephen F. Carley & Nils C. Newman & Alan L. Porter & Jon G. Garner, 2017. "A measure of staying power: Is the persistence of emergent concepts more significantly influenced by technical domain or scale?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 2077-2087, June.
    12. Yun Liu & Zhe Yan & Yijie Cheng & Xuanting Ye, 2018. "Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry," Sustainability, MDPI, vol. 10(1), pages 1-23, January.
    13. Simona Domazetovska & Vladimir Strezov & Risto V. Filkoski & Tao Kan, 2023. "Exploring the Potential of Biomass Pyrolysis for Renewable and Sustainable Energy Production: A Comparative Study of Corn Cob, Vine Rod, and Sunflower," Sustainability, MDPI, vol. 15(18), pages 1-14, September.
    14. 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.
    15. Sujit Bhattacharya & Shilpa & Arshia Kaul, 2015. "Emerging countries assertion in the global publication landscape of science: a case study of India," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 387-411, May.
    16. Guan, Jiancheng & Liu, Na, 2015. "Invention profiles and uneven growth in the field of emerging nano-energy," Energy Policy, Elsevier, vol. 76(C), pages 146-157.
    17. Bernardino Romano & Lorena Fiorini & Alessandro Marucci, 2019. "Italy without Urban ‘Sprinkling’. A Uchronia for a Country that Needs a Retrofit of Its Urban and Landscape Planning," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    18. Ayman Awad & Hussein Abdel-Mawgoud & Salah Kamel & Abdalla A. Ibrahim & Francisco Jurado, 2021. "Developing a Hybrid Optimization Algorithm for Optimal Allocation of Renewable DGs in Distribution Network," Clean Technol., MDPI, vol. 3(2), pages 1-15, May.
    19. Claudia Werker & Vladimir Korzinov & Scott Cunningham, 2019. "Formation and output of collaborations: the role of proximity in German nanotechnology," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 697-719, April.
    20. Berg, S. & Wustmans, M. & Bröring, S., 2019. "Identifying first signals of emerging dominance in a technological innovation system: A novel approach based on patents," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 706-722.

    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:eee:renene:v:123:y:2018:i:c:p:407-416. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.