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Opportunity-driven technology roadmapping: The case of 5G mobile services

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  • Noh, Heeyong
  • Kim, Kyuwoong
  • Song, Young-Keun
  • Lee, Sungjoo

Abstract

Given the increasing significance of technology-push strategy and market-driven strategy, an integrated approach to technology roadmapping that considers both strategies in a systemic way is needed. To satisfy such need, this study suggests a novel roadmapping approach, named opportunity-driven roadmapping. It integrates the identification of technological opportunities in a retrospective manner and the proposition of future values in a prospective manner. During roadmapping, three canvases (value proposition canvas, technology solution canvas, and roadmap canvas) are used and three analyses (scenario analysis, patent analysis, and relationship analysis) are employed to support decision-makings for each canvas. Since mobile services industry has numerous business opportunities due to the emergence of 5 G telecommunications technologies, the suggested approach is applied to mobile services industry to verify its usability.

Suggested Citation

  • Noh, Heeyong & Kim, Kyuwoong & Song, Young-Keun & Lee, Sungjoo, 2021. "Opportunity-driven technology roadmapping: The case of 5G mobile services," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  • Handle: RePEc:eee:tefoso:v:163:y:2021:i:c:s0040162520312786
    DOI: 10.1016/j.techfore.2020.120452
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    1. Yongho Lee & So Young Kim & Inseok Song & Yongtae Park & Juneseuk Shin, 2014. "Technology opportunity identification customized to the technological capability of SMEs through two-stage patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(1), pages 227-244, July.
    2. Alizadeh, Reza & Lund, Peter D. & Beynaghi, Ali & Abolghasemi, Mahdi & Maknoon, Reza, 2016. "An integrated scenario-based robust planning approach for foresight and strategic management with application to energy industry," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 162-171.
    3. Fabry, Bernd & Ernst, Holger & Langholz, Jens & Köster, Martin, 2006. "Patent portfolio analysis as a useful tool for identifying R&D and business opportunities--an empirical application in the nutrition and health industry," World Patent Information, Elsevier, vol. 28(3), pages 215-225, September.
    4. Lin, Bou-Wen & Lee, Yikuan & Hung, Shih-Chang, 2006. "R&D intensity and commercialization orientation effects on financial performance," Journal of Business Research, Elsevier, vol. 59(6), pages 679-685, June.
    5. Clive Kerr & Robert Phaal & David Probert, 2012. "Addressing The Cognitive And Social Influence Inhibitors During The Ideation Stages Of Technology Roadmapping Workshops," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 9(06), pages 1-20.
    6. Neil A. Morgan & Douglas W. Vorhies & Charlotte H. Mason, 2009. "Market orientation, marketing capabilities, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 30(8), pages 909-920, August.
    7. Noh, Heeyong & Song, Young-Keun & Lee, Sungjoo, 2016. "Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations," Telecommunications Policy, Elsevier, vol. 40(10), pages 956-970.
    8. Hao, Shengbin & Song, Michael, 2016. "Technology-driven strategy and firm performance: Are strategic capabilities missing links?," Journal of Business Research, Elsevier, vol. 69(2), pages 751-759.
    9. Lu, Hsi-Peng & Weng, Chien-I, 2018. "Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 85-94.
    10. Patel, Pari & Vega, Modesto, 1999. "Patterns of internationalisation of corporate technology: location vs. home country advantages1," Research Policy, Elsevier, vol. 28(2-3), pages 145-155, March.
    11. Geum, Youngjung & Lee, HyeonJeong & Lee, Youngjo & Park, Yongtae, 2015. "Development of data-driven technology roadmap considering dependency: An ARM-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 264-279.
    12. Philippe Durance & Michel Godet, 2010. "Scenario building: Uses and abuses," Post-Print hal-02864615, HAL.
    13. Zhang, Xian & Fan, Jing-Li & Wei, Yi-Ming, 2013. "Technology roadmap study on carbon capture, utilization and storage in China," Energy Policy, Elsevier, vol. 59(C), pages 536-550.
    14. N. Gerdsri, 2007. "An Analytical Approach To Building A Technology Development Envelope (Tde) For Roadmapping Of Emerging Technologies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 121-135.
    15. Boso, Nathaniel & Story, Vicky M. & Cadogan, John W., 2013. "Entrepreneurial orientation, market orientation, network ties, and performance: Study of entrepreneurial firms in a developing economy," Journal of Business Venturing, Elsevier, vol. 28(6), pages 708-727.
    16. Toro-Jarrín, Miguel Angel & Ponce-Jaramillo, Idalia Estefania & Güemes-Castorena, David, 2016. "Methodology for the of building process integration of Business Model Canvas and Technological Roadmap," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 213-225.
    17. Lee, Hakyeon & Geum, Youngjung, 2017. "Development of the scenario-based technology roadmap considering layer heterogeneity: An approach using CIA and AHP," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 12-24.
    18. Heeyong Noh & Youngkeun Song & Ae-Soon Park & Byungun Yoon & Sungjoo Lee, 2016. "Development of new technology-based services," The Service Industries Journal, Taylor & Francis Journals, vol. 36(5-6), pages 200-222, April.
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    Cited by:

    1. Wang, Jinfeng & Zhang, Zhixin & Feng, Lijie & Lin, Kuo-Yi & Liu, Peng, 2023. "Development of technology opportunity analysis based on technology landscape by extending technology elements with BERT and TRIZ," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    2. Yuskevich, Ilya & Hein, Andreas Makoto & Amokrane-Ferka, Kahina & Doufene, Abdelkrim & Jankovic, Marija, 2021. "A metamodel of an informational structure for model-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 173(C).

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