How to improve a technology evaluation model: A data-driven approach
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DOI: 10.1016/j.technovation.2017.10.006
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- Eungchan Kim & Young Seok Ock & Seung-Jun Shin & Wonchul Seo, 2018. "An Approach to Generating Reference Information for Technology Evaluation," Sustainability, MDPI, vol. 10(9), pages 1-19, September.
- Song, Kisik & Yun, Siyeong & Kim, Leehee & Lee, Sungjoo, 2022. "Investigating new design concepts based on customer value and patent data: The case of a future mobility door," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
- Burmaoglu, Serhat & Sartenaer, Olivier & Porter, Alan, 2019. "Conceptual definition of technology emergence: A long journey from philosophy of science to science policy," Technology in Society, Elsevier, vol. 59(C).
- Yun, Siyeong & Song, Kisik & Kim, Chulhyun & Lee, Sungjoo, 2021. "From stones to jewellery: Investigating technology opportunities from expired patents," Technovation, Elsevier, vol. 103(C).
- Katarína Stachová & Ján Papula & Zdenko Stacho & Lucia Kohnová, 2019. "External Partnerships in Employee Education and Development as the Key to Facing Industry 4.0 Challenges," Sustainability, MDPI, vol. 11(2), pages 1-19, January.
- Juhyun Lee & Jiho Kang & Sangsung Park & Dongsik Jang & Junseok Lee, 2020. "A Multi-Class Classification Model for Technology Evaluation," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
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Keywords
Technology evaluation model; Validity; Improvement; South Korea; Data-driven;All these keywords.
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