IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/46sti2015.html
   My bibliography  Save this paper

The Identification of Weak Signals and Wild Cards in Foresight Methodology: Stages and Methods

Author

Listed:
  • Julia V. Ponomareva

    (National Research University Higher School of Economics)

  • Anna V. Sokolova

    (National Research University Higher School of Economics)

Abstract

This research explores the key stages and methods for the identification of weak signals (WS) and wild cards (WC) in foresight methodology. Theoretical approaches and practical projects in this field were studied, key characteristics and features of these concepts were identified. A review of potential data sources for the monitoring of WS and WC were also provided. The key groups of methods were formed including scanning and monitoring; data analysis; modelling, clustering, interpretation; expert procedures. The stages for identification of WS are proposed. A case study devoted to WS for the analysis of technology development of bioprinting is considered.

Suggested Citation

  • Julia V. Ponomareva & Anna V. Sokolova, 2015. "The Identification of Weak Signals and Wild Cards in Foresight Methodology: Stages and Methods," HSE Working papers WP BRP 46/STI/2015, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:46sti2015
    as

    Download full text from publisher

    File URL: http://www.hse.ru/data/2015/09/03/1089630981/46STI2015.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sandro Mendonca & Miguel Pina e Cunha & Jari Kaivo-oja & Frank Ruff, 2003. "Wild cards, weak signals and organizational improvisation," Nova SBE Working Paper Series wp432, Universidade Nova de Lisboa, Nova School of Business and Economics.
    2. Markmann, Christoph & Darkow, Inga-Lena & von der Gracht, Heiko, 2013. "A Delphi-based risk analysis — Identifying and assessing future challenges for supply chain security in a multi-stakeholder environment," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1815-1833.
    3. Guillaume Delatour & Patrick Laclemence & Didier Calcei & Chabane Mazri, 2013. "Blind Managers, Systems Complexity and Weak Signals," Post-Print hal-02299245, HAL.
    4. Victor van Rij, 2012. "New Emerging Issues and Wild Cards as Future Shakers and Shapers," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(1), pages 60-73.
    5. Halal, William E., 2013. "Forecasting the Technology Revolution: Results and learnings from the TechCast Project," Technological Forecasting and Social Change, Elsevier, vol. 80(8), pages 1635-1643.
    6. 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.
    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. Zbyslaw Dobrowolski, 2020. "Forensic Auditing and Weak Signals: A Cognitive Approach and Practical Tips," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 247-259.
    3. Young-Joo Lee & Ji-Young Park, 2018. "Identification of future signal based on the quantitative and qualitative text mining: a case study on ethical issues in artificial intelligence," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 653-667, March.

    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. Rowe, Emily & Wright, George & Derbyshire, James, 2017. "Enhancing horizon scanning by utilizing pre-developed scenarios: Analysis of current practice and specification of a process improvement to aid the identification of important ‘weak signals’," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 224-235.
    2. Ilya Kuzminov & Irina Loginova & Elena Khabirova, 2018. "Stress Scenario Development: Global Challenges For The Russian Agricultural Sector," HSE Working papers WP BRP 88/STI/2018, National Research University Higher School of Economics.
    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. Alexander Sokolov & Alexander Chulok, 2012. "Russian Science and Technology Foresight – 2030: Key Features and First Results," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(1), pages 12-25.
    6. 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.
    7. Sun Hi Yoo & DongKyu Won, 2018. "Simulation of Weak Signals of Nanotechnology Innovation in Complex System," Sustainability, MDPI, vol. 10(2), pages 1-14, February.
    8. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    9. Ansari, Dawud & Holz, Franziska & Al-Kuhlani, Hashem, 2020. "Energy Outlooks Compared: Global and Regional Insights," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 21-42.
    10. Vollmar, Horst Christian & Goluchowicz, Kerstin & Beckert, Bernd & Dönitz, Ewa & Bartholomeyczik, Sabine & Ostermann, Thomas & Boustani, Malaz & Buscher, Ines, 2014. "Health care for people with dementia in 2030 – Results of a multidisciplinary scenario process," Health Policy, Elsevier, vol. 114(2), pages 254-262.
    11. 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.
    12. Kim, Hyunuk & Ahn, Sang-Jin & Jung, Woo-Sung, 2019. "Horizon scanning in policy research database with a probabilistic topic model," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 588-594.
    13. Geng, Liuna & Liu, Ting & Zhou, Kexin & Yang, Genmao, 2018. "Can power affect environmental risk attitude toward nuclear energy?," Energy Policy, Elsevier, vol. 113(C), pages 87-93.
    14. Trumbo, Jennifer L. & Tonn, Bruce E., 2016. "Biofuels: A sustainable choice for the United States' energy future?," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 147-161.
    15. D. Thorleuchter & D. Van Den Poel, 2013. "Weak Signal Identification with Semantic Web Mining," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/860, Ghent University, Faculty of Economics and Business Administration.
    16. Amber Geurts & Ralph Gutknecht & Philine Warnke & Arjen Goetheer & Elna Schirrmeister & Babette Bakker & Svetlana Meissner, 2022. "New perspectives for data‐supported foresight: The hybrid AI‐expert approach," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
    17. Flick, Catherine & Zamani, Efpraxia D. & Stahl, Bernd Carsten & Brem, Alexander, 2020. "The future of ICT for health and ageing: Unveiling ethical and social issues through horizon scanning foresight," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    18. Rajesh, R., 2017. "Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 161-169.
    19. Lisa A. Pace & Kristian Borch & Alan Deidun, 2023. "Bridging Knowledge Gaps towards 2030: The Use of Foresight for the Strategic Management of a Sustainable Blue Economy," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    20. Fleuchaus, Paul & Schüppler, Simon & Bloemendal, Martin & Guglielmetti, Luca & Opel, Oliver & Blum, Philipp, 2020. "Risk analysis of High-Temperature Aquifer Thermal Energy Storage (HT-ATES)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).

    More about this item

    Keywords

    weak signals; wild cards; bioprinting; foresight; scanning; analysis;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:hig:wpaper:46sti2015. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.