IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v176y2022ics0040162521008623.html
   My bibliography  Save this article

A systematic idea generation approach for developing a new technology: Application of a socio-technical transition system

Author

Listed:
  • Lee, Keeeun
  • Kim, Sunhye
  • Yoon, Byungun

Abstract

Socio-technical systems have been highlighted as a new driver of novel idea generation, providing greater insights for new product development (NPD) in different fields. This research implements a broad set of indicators that measure both the technological and social features for a panel of 50 coevolution cases, and uses a structural vector autoregressive (SVAR) model in order to investigate the long-run relationships and coevolution patterns between technology and society. Technology evolution patterns were analysed using text data from patents, and social evolution patterns were investigated using text data from different news outlets. These influential relationships between technical and societal variables adopted from the SVAR model are examined over the course of this study. In addition, this research identifies various coefficients derived from this influential relationship, and draws out evolutionary patterns to verify how they have influenced each other over time. The results indicate that socio-technical systems are generally driven by the coevolution of three main technological variables (tangibility, safety and diffusion) and five social variables (intellectualization, informatization, polarization, connectivity and serviceability). This research contributes towards improving the explanatory power of coevolution patterns between society and technology, and more strongly establishes a set of insightful strategies for technological development.

Suggested Citation

  • Lee, Keeeun & Kim, Sunhye & Yoon, Byungun, 2022. "A systematic idea generation approach for developing a new technology: Application of a socio-technical transition system," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162521008623
    DOI: 10.1016/j.techfore.2021.121431
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521008623
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121431?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. Leamer, Edward E., 1985. "Vector autoregressions for causal inference?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 22(1), pages 255-304, January.
    2. Lee, Changyong & Kwon, Ohjin & Kim, Myeongjung & Kwon, Daeil, 2018. "Early identification of emerging technologies: A machine learning approach using multiple patent indicators," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 291-303.
    3. Murray, Fiona, 2002. "Innovation as co-evolution of scientific and technological networks: exploring tissue engineering," Research Policy, Elsevier, vol. 31(8-9), pages 1389-1403, December.
    4. Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen, 2012. "Identifying and visualizing technology evolution: A case study of smart grid technology," Technological Forecasting and Social Change, Elsevier, vol. 79(6), pages 1099-1110.
    5. Yoon, Byungun & Jeong, Yujin & Lee, Keeeun & Lee, Sungjoo, 2020. "A systematic approach to prioritizing R&D projects based on customer-perceived value using opinion mining," Technovation, Elsevier, vol. 98(C).
    6. Bomi Song & Changyong Lee & Byungun Yoon & Yongtae Park, 2016. "Diagnosing service quality using customer reviews: an index approach based on sentiment and gap analyses," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 775-798, December.
    7. Joung, Junegak & Kim, Kwangsoo, 2017. "Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 281-292.
    8. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    9. Giones, Ferran & Brem, Alexander, 2017. "From toys to tools: The co-evolution of technological and entrepreneurial developments in the drone industry," Business Horizons, Elsevier, vol. 60(6), pages 875-884.
    10. Lee, Changyong & Song, Bomi & Park, Yongtae, 2015. "An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 285-301.
    11. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    12. Markard, Jochen & Raven, Rob & Truffer, Bernhard, 2012. "Sustainability transitions: An emerging field of research and its prospects," Research Policy, Elsevier, vol. 41(6), pages 955-967.
    13. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
    14. Geels, Frank W., 2002. "Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case-study," Research Policy, Elsevier, vol. 31(8-9), pages 1257-1274, December.
    15. Geels, Frank W., 2004. "From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory," Research Policy, Elsevier, vol. 33(6-7), pages 897-920, September.
    16. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
    17. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, 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. Medina-Molina, Cayetano & Pérez-Macías, Noemí & Fernández-Fernádez, José Luis, 2023. "The use of micromobility in different contexts. An explanation through the multilevel perspective and QCA," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    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. André Sorensen & Anna-Katharina Brenner, 2021. "Cities, Urban Property Systems, and Sustainability Transitions: Contested Processes of Institutional Change and the Regulation of Urban Property Development," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    2. Jain, Sanjay, 2020. "Fumbling to the future? Socio-technical regime change in the recorded music industry," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Erlinghagen, Sabine & Markard, Jochen, 2012. "Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change," Energy Policy, Elsevier, vol. 51(C), pages 895-906.
    4. Frans Sengers & Bruno Turnheim & Frans Berkhout, 2021. "Beyond experiments: Embedding outcomes in climate governance," Environment and Planning C, , vol. 39(6), pages 1148-1171, September.
    5. Attila Havas & Doris Schartinger & K. Matthias Weber, 2022. "Innovation Studies, Social Innovation, and Sustainability Transitions Research: From mutual ignorance towards an integrative perspective?," CERS-IE WORKING PAPERS 2227, Institute of Economics, Centre for Economic and Regional Studies.
    6. Nesari, Mohammad & Naghizadeh, Mohammad & Ghazinoori, Soroush & Manteghi, Manoochehr, 2022. "The evolution of socio-technical transition studies: A scientometric analysis," Technology in Society, Elsevier, vol. 68(C).
    7. Edmondson, Duncan L. & Kern, Florian & Rogge, Karoline S., 2019. "The co-evolution of policy mixes and socio-technical systems: Towards a conceptual framework of policy mix feedback in sustainability transitions," Research Policy, Elsevier, vol. 48(10).
    8. Falcone, Pasquale Marcello & Tani, Almona & Tartiu, Valentina Elena & Imbriani, Cesare, 2020. "Towards a sustainable forest-based bioeconomy in Italy: Findings from a SWOT analysis," Forest Policy and Economics, Elsevier, vol. 110(C).
    9. Walrave, Bob & Talmar, Madis & Podoynitsyna, Ksenia S. & Romme, A. Georges L. & Verbong, Geert P.J., 2018. "A multi-level perspective on innovation ecosystems for path-breaking innovation," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 103-113.
    10. Weigelt, Carmen & Lu, Shaohua & Verhaal, J. Cameron, 2021. "Blinded by the sun: The role of prosumers as niche actors in incumbent firms’ adoption of solar power during sustainability transitions," Research Policy, Elsevier, vol. 50(9).
    11. Kejia Yang & Johan Schot & Bernhard Truffer, 2020. "Shaping the Directionality of Sustainability Transitions: The Diverging Development Patterns of Solar PV in Two Chinese Provinces," SPRU Working Paper Series 2020-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    12. Jonas Heiberg & Christian Binz & Bernhard Truffer, 2020. "Assessing transitions through socio-technical network analysis – a methodological framework and a case study from the water sector," Papers in Evolutionary Economic Geography (PEEG) 2035, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Aug 2020.
    13. Fuenfschilling, Lea & Binz, Christian, 2018. "Global socio-technical regimes," Research Policy, Elsevier, vol. 47(4), pages 735-749.
    14. Geels, Frank W., 2020. "Micro-foundations of the multi-level perspective on socio-technical transitions: Developing a multi-dimensional model of agency through crossovers between social constructivism, evolutionary economics," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    15. Rakas, Marija & Hain, Daniel S., 2019. "The state of innovation system research: What happens beneath the surface?," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    16. Kivimaa, Paula & Kern, Florian, 2016. "Creative destruction or mere niche support? Innovation policy mixes for sustainability transitions," Research Policy, Elsevier, vol. 45(1), pages 205-217.
    17. Heiberg, Jonas & Truffer, Bernhard & Binz, Christian, 2022. "Assessing transitions through socio-technical configuration analysis – a methodological framework and a case study in the water sector," Research Policy, Elsevier, vol. 51(1).
    18. Nikas, A. & Koasidis, K. & Köberle, A.C. & Kourtesi, G. & Doukas, H., 2022. "A comparative study of biodiesel in Brazil and Argentina: An integrated systems of innovation perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    19. Zhao, Zhen-Yu & Chang, Rui-Dong & Chen, Yu-Long, 2016. "What hinder the further development of wind power in China?—A socio-technical barrier study," Energy Policy, Elsevier, vol. 88(C), pages 465-476.
    20. Francisco Chicombo, Adélia Filosa & Musango, Josephine Kaviti, 2022. "Towards a theoretical framework for gendered energy transition at the urban household level: A case of Mozambique," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).

    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:tefoso:v:176:y:2022:i:c:s0040162521008623. 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.sciencedirect.com/science/journal/00401625 .

    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.