IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13040-d939733.html
   My bibliography  Save this article

Evaluation of Online Communities for Technology Foresight: Data-Driven Approach Based on Expertise and Diversity

Author

Listed:
  • Youngjun Kim

    (Samsung SDS, Seoul 05510, Korea)

  • Changho Son

    (Department of Weapon System Engineering, Korea Army Academy at Yeong-Cheon, Yeongcheon-si 770-849, Korea)

Abstract

This study proposes a framework for selecting and validating data sources for public-based technology foresight. In other words, it finds out which of the many online communities have valuable data sources. Specifically, we evaluate the usefulness of text data from online communities for technology foresight in terms of expertise and diversity. To this end, not only is a bibliographic analysis using metadata conducted, but also, topic modeling techniques for a semantic analysis of texts are utilized. As a case study, we selected 20 candidate communities where discussions and predictions related to technology are made and applied newly proposed metrics. As a contribution of this study, it is expected that it will provide a basis for public participation in technology foresight, not only leaving it to a few experts.

Suggested Citation

  • Youngjun Kim & Changho Son, 2022. "Evaluation of Online Communities for Technology Foresight: Data-Driven Approach Based on Expertise and Diversity," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13040-:d:939733
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13040/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13040/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lars Janzik & Christina Raasch, 2011. "Online Communities In Mature Markets: Why Join, Why Innovate, Why Share?," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 797-836.
    2. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Wiener, Melanie & Gattringer, Regina & Strehl, Franz, 2020. "Collaborative open foresight - A new approach for inspiring discontinuous and sustainability-oriented innovations," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    4. Zeng, Michael A., 2018. "Foresight by online communities – The case of renewable energies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 27-42.
    5. Li, Xin & Xie, Qianqian & Daim, Tugrul & Huang, Lucheng, 2019. "Forecasting technology trends using text mining of the gaps between science and technology: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 432-449.
    6. Xenias, Dimitrios & Whitmarsh, Lorraine, 2013. "Dimensions and determinants of expert and public attitudes to sustainable transport policies and technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 75-85.
    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. Gozuacik, Necip & Sakar, C. Okan & Ozcan, Sercan, 2023. "Technological forecasting based on estimation of word embedding matrix using LSTM networks," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Percia David, Dimitri & Maréchal, Loïc & Lacube, William & Gillard, Sébastien & Tsesmelis, Michael & Maillart, Thomas & Mermoud, Alain, 2023. "Measuring security development in information technologies: A scientometric framework using arXiv e-prints," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    3. Zeng, Michael A. & Koller, Hans & Jahn, Reimo, 2019. "Open radar groups: The integration of online communities into open foresight processes," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 204-217.
    4. Broccardo, Laura & Vola, Paola & Zicari, Adrian & Alshibani, Safiya Mukhtar, 2023. "Contingency-based analysis of the drivers and obstacles to a successful sustainable business model: Seeking the uncaptured value," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    5. Bouncken, Ricarda B. & Qiu, Yixin & García, F. Javier Sendra, 2021. "Flexible pattern matching approach: Suggestions for augmenting theory evolvement," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    6. Shan, Wei & Qiao, Tong & Zhang, Mingli, 2020. "Getting more resources for better performance: The effect of user-owned resources on the value of user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    7. Herbes, Carsten & Rilling, Benedikt & Ringel, Marc, 2021. "Policy frameworks and voluntary markets for biomethane – How do different policies influence providers’ product strategies?," Energy Policy, Elsevier, vol. 153(C).
    8. Canitez, Fatih, 2019. "Pathways to sustainable urban mobility in developing megacities: A socio-technical transition perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 319-329.
    9. Nguyen Thanh Viet & Alla G. Kravets, 2022. "The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management," Energies, MDPI, vol. 15(18), pages 1-26, September.
    10. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    11. Xi, Xi & Ren, Feifei & Yu, Lean & Yang, Jing, 2023. "Detecting the technology's evolutionary pathway using HiDS-trait-driven tech mining strategy," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    12. Rivera, Liliana & Sheffi, Yossi & Welsch, Roy, 2014. "Logistics agglomeration in the US," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 222-238.
    13. AlSabbagh, Maha & Siu, Yim Ling & Guehnemann, Astrid & Barrett, John, 2017. "Integrated approach to the assessment of CO2e-mitigation measures for the road passenger transport sector in Bahrain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 203-215.
    14. Ren, Haiying & Zhao, Yuhui, 2021. "Technology opportunity discovery based on constructing, evaluating, and searching knowledge networks," Technovation, Elsevier, vol. 101(C).
    15. Lee, Gyumin & Lee, Sungjun & Lee, Changyong, 2023. "Inventor–licensee matchmaking for university technology licensing: A fastText approach," Technovation, Elsevier, vol. 125(C).
    16. Liu, Zhenfeng & Feng, Jian & Uden, Lorna, 2023. "Technology opportunity analysis using hierarchical semantic networks and dual link prediction," Technovation, Elsevier, vol. 128(C).
    17. Mehdizadeh, Milad & Solbu, Gisle & Klöckner, Christian A. & Moe Skjølsvold, Tomas, 2024. "Navigating acceptance and controversy of transport policies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
    18. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue & Li Sun, 2017. "Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China," IJERPH, MDPI, vol. 14(5), pages 1-24, May.
    19. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    20. McIntosh, C.R. & Wilmot, N.A. & Skalberg, R.K., 2015. "Paying for harbor maintenance in the US: Options for moving past the Harbor Maintenance Tax," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 210-221.

    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:gam:jsusta:v:14:y:2022:i:20:p:13040-:d:939733. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.