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

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  • 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
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    1. 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.
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. 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.
    8. 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.
    9. Inchae Park & Byungun Yoon, 2018. "Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis," Sustainability, MDPI, vol. 10(11), pages 1-32, November.
    10. 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.
    11. Cooley, Thomas F. & Leroy, Stephen F., 1985. "Atheoretical macroeconometrics: A critique," Journal of Monetary Economics, Elsevier, vol. 16(3), pages 283-308, November.
    12. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
    13. Leamer, Edward E., 1985. "Vector autoregressions for causal inference?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 22(1), pages 255-304, January.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
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