An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)
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DOI: 10.1016/j.techfore.2018.10.031
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- Robinson, Douglas K.R. & Huang, Lu & Guo, Ying & Porter, Alan L., 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Technological Forecasting and Social Change, Elsevier, vol. 80(2), pages 267-285.
- Kyebambe, Moses Ntanda & Cheng, Ge & Huang, Yunqing & He, Chunhui & Zhang, Zhenyu, 2017. "Forecasting emerging technologies: A supervised learning approach through patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 236-244.
- Hanlin You & Mengjun Li & Keith W. Hipel & Jiang Jiang & Bingfeng Ge & Hante Duan, 2017. "Development trend forecasting for coherent light generator technology based on patent citation network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 297-315, April.
- Di Zio, Simone & Castillo Rosas, Juan Daniel & Lamelza, Luana, 2017. "Real Time Spatial Delphi: Fast convergence of experts' opinions on the territory," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 143-154.
- Xiao Zhou & Yi Zhang & Alan L. Porter & Ying Guo & Donghua Zhu, 2014. "A patent analysis method to trace technology evolutionary pathways," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(3), pages 705-721, September.
- Xuefeng Wang & Rongrong Li & Shiming Ren & Donghua Zhu & Meng Huang & Pengjun Qiu, 2014. "Collaboration network and pattern analysis: case study of dye-sensitized solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1745-1762, March.
- Daniele Rotolo & Ismael Rafols & Michael M. Hopkins & Loet Leydesdorff, 2017. "Strategic intelligence on emerging technologies: Scientometric overlay mapping," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(1), pages 214-233, January.
- Ying Huang & Donghua Zhu & Yue Qian & Yi Zhang & Alan L. Porter & Yuqin Liu & Ying Guo, 2017. "A hybrid method to trace technology evolution pathways: a case study of 3D printing," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 185-204, April.
- Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
- Gao, Lidan & Porter, Alan L. & Wang, Jing & Fang, Shu & Zhang, Xian & Ma, Tingting & Wang, Wenping & Huang, Lu, 2013. "Technology life cycle analysis method based on patent documents," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 398-407.
- Parisi, Maria Laura & Maranghi, Simone & Basosi, Riccardo, 2014. "The evolution of the dye sensitized solar cells from Grätzel prototype to up-scaled solar applications: A life cycle assessment approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 124-138.
- Liliana Mitkova & Wang Xuefeng & Pengjun Qui & Donghua Zhu & Ming Lei & Alan L. Porter, 2015. "Identification of technology development trends based on subject–action–object analysis: The case of dye-sensitized solar cells," Post-Print hal-01202391, HAL.
- Douglas K. R. Robinson & Lu Huang & Yan Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01070417, HAL.
- Ta-Shun Cho & Hsin-Yu Shih, 2011. "Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 795-811, December.
- Guo, Junfang & Wang, Xuefeng & Li, Qianrui & Zhu, Donghua, 2016. "Subject–action–object-based morphology analysis for determining the direction of technological change," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 27-40.
- Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
- Wang, Xuefeng & Huang, Meng & Wang, Hongyuan & Lei, Ming & Zhu, Donghua & Ren, Jie & Jabeen, Munazza, 2014. "International Collaboration Activity Index: Case study of dye-sensitized solar cells," Journal of Informetrics, Elsevier, vol. 8(4), pages 854-862.
- Haegeman, Karel & Marinelli, Elisabetta & Scapolo, Fabiana & Ricci, Andrea & Sokolov, Alexander, 2013. "Quantitative and qualitative approaches in Future-oriented Technology Analysis (FTA): From combination to integration?," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 386-397.
- Zhang, Yi & Robinson, Douglas K.R. & Porter, Alan L. & Zhu, Donghua & Zhang, Guangquan & Lu, Jie, 2016.
"Technology roadmapping for competitive technical intelligence,"
Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 175-186.
- Yi Zhang & Douglas K. R. Robinson & Alan L. Porter & Donghua Zhu & Guangquan Zhang & Jie Lu, 2015. "Technology roadmapping for competitive technical intelligence," Post-Print hal-01276909, HAL.
- Huang, Lu & Zhang, Yi & Guo, Ying & Zhu, Donghua & Porter, Alan L., 2014. "Four dimensional Science and Technology planning: A new approach based on bibliometrics and technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 39-48.
- D.K. Robinson & Lu Huang & Ying Guo & Alan L. Porter, 2013. "Forecasting Innovation Pathways (FIP) for new and emerging science and technologies," Post-Print hal-01071140, HAL.
- Zhang, Yi & Porter, Alan L. & Hu, Zhengyin & Guo, Ying & Newman, Nils C., 2014. "“Term clumping” for technical intelligence: A case study on dye-sensitized solar cells," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 26-39.
- Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila, 2014. "How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1375-1389, November.
- M. Rader & A. L. Porter, 2008. "Fitting Future-Oriented Technology Analysis Methods to Study Types," Springer Books, in: Cristiano Cagnin & Michael Keenan & Ron Johnston & Fabiana Scapolo & Rémi Barré (ed.), Future-Oriented Technology Analysis, chapter 3, pages 25-40, Springer.
- Bloem da Silveira Junior, Luiz A. & Vasconcellos, Eduardo & Vasconcellos Guedes, Liliana & Guedes, Luis Fernando A. & Costa, Renato Machado, 2018. "Technology roadmapping: A methodological proposition to refine Delphi results," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 194-206.
- Yi Zhang & Xiao Zhou & Alan L. Porter & Jose M. Vicente Gomila & An Yan, 2014. "Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 55-75, April.
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Cited by:
- Lidan Jiang & Jingyan Chen & Yuhan Bao & Fang Zou, 2022. "Exploring the patterns of international technology diffusion in AI from the perspective of patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5307-5323, September.
- Huang, Ying & Li, Ruinan & Zou, Fang & Jiang, Lidan & Porter, Alan L. & Zhang, Lin, 2022. "Technology life cycle analysis: From the dynamic perspective of patent citation networks," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
- Sasikumar, Ragu & Thirumalaisamy, Suryaprabha & Kim, Byungki & Hwang, Byungil, 2024. "Dye-sensitized solar cells: Insights and research divergence towards alternatives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
- 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).
- Chia-Chi Sun & Shih-Chi Chang, 2021. "An Assessment Framework for Solar Cell Material Based on a Modified Fuzzy DEMATEL Approach," Energies, MDPI, vol. 14(18), pages 1-17, September.
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Keywords
Technology forecasting; Technology foresight; Technology emergence; Research evaluation; Dye-sensitized solar cells (DSSCs);All these keywords.
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