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Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology

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  • Kwon, Heeyeul
  • Kim, Jieun
  • Park, Yongtae

Abstract

This research proposes a novel method of identifying and understanding the holistic overview of emerging technologies’ unintended consequences. Latent Semantic Analysis (LSA) text mining technique is employed to yield multiple groups of contextually similar terms from future-oriented data sources, comprising both experts’ and the public's concerns regarding future technologies. Resulting term clusters are considered as new abstractions, or so-called scenarios, of future social impacts. Furthermore, the study acquires greater depth and breadth in conceptualizing social impacts through considering condition- and value-related terms as key linking factors to previous social impact-related literature. Our proposed methodology seeks to gain insights into the utilization of future-oriented data sources for the foresight activity, hoping to mitigate public skepticism and pursue a better social acceptance of emerging technologies.

Suggested Citation

  • Kwon, Heeyeul & Kim, Jieun & Park, Yongtae, 2017. "Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology," Technovation, Elsevier, vol. 60, pages 15-28.
    • Handle: RePEc:eee:techno:v:60-61:y:2017:i::p:15-28
    DOI: 10.1016/j.technovation.2017.01.001
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    10. Lee, Changyong & Jeon, Daeseong & Ahn, Joon Mo & Kwon, Ohjin, 2020. "Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database," Technovation, Elsevier, vol. 96.
    11. Rossi, Federica & De Silva, Muthu & Pavone, Pasquale & Rosli, Ainurul & Yip, Nick K.T., 2024. "Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    12. 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.
    13. Merkert, Rico & Bushell, James, 2020. "Managing the drone revolution: A systematic literature review into the current use of airborne drones and future strategic directions for their effective control," Journal of Air Transport Management, Elsevier, vol. 89(C).
    14. Snežana Tadić & Mladen Krstić & Ljubica Radovanović, 2024. "Assessing Strategies to Overcome Barriers for Drone Usage in Last-Mile Logistics: A Novel Hybrid Fuzzy MCDM Model," Mathematics, MDPI, vol. 12(3), pages 1-25, January.
    15. Xu, Haiyun & Winnink, Jos & Yue, Zenghui & Zhang, Huiling & Pang, Hongshen, 2021. "Multidimensional Scientometric indicators for the detection of emerging research topics," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Frederiksen, Marianne Harbo & Wolf, Patricia & Klotz, Ute, 2024. "Citizen visions of drone uses and impacts in 2057: Far-future insights for policy decision-makers," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    17. Ki Hong Kim & Young Jae Han & Sugil Lee & Sung Won Cho & Chulung Lee, 2019. "Text Mining for Patent Analysis to Forecast Emerging Technologies in Wireless Power Transfer," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    18. Mahathir Mohammad Bappy & John Key & Niamat Ullah Ibne Hossain & Raed Jaradat, 2022. "Assessing the Social Impacts of Additive Manufacturing Using Hierarchical Evidential Reasoning Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(2), pages 201-220, June.
    19. Belitski, Maksim & Korosteleva, Julia & Piscitello, Lucia, 2023. "Digital affordances and entrepreneurial dynamics: New evidence from European regions," Technovation, Elsevier, vol. 119(C).
    20. Serhat Burmaoglu & Olivier Sartenaer & Alan Porter & Munan Li, 2019. "Analysing the theoretical roots of technology emergence: an evolutionary perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 97-118, April.
    21. Wang, Ning & Mutzner, Nico & Blanchet, Karl, 2023. "Societal acceptance of urban drones: A scoping literature review," Technology in Society, Elsevier, vol. 75(C).
    22. Sára Imola Csuka & Tamás Martos & Mihály Kapornaky & Viola Sallay & Christopher Alan Lewis, 2019. "Attitudes Toward Technologies of the Near Future: The Role of Technology Readiness in a Hungarian Adult Sample," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    23. Schmidt, Sebastian & Saraceni, Adriana, 2024. "Consumer acceptance of drone-based technology for last mile delivery," Research in Transportation Economics, Elsevier, vol. 103(C).

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