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Forecasting Innovation Pathways (FIP) for new and emerging science and technologies

Citations

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Cited by:

  1. Belén López-Felices & José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & María Piquer-Rodríguez, 2020. "Contribution of Irrigation Ponds to the Sustainability of Agriculture. A Review of Worldwide Research," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
  2. Alfonso Ávila-Robinson & Shintaro Sengoku, 2017. "Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1691-1720, September.
  3. Huang, Ying & Porter, Alan L. & Cunningham, Scott W. & Robinson, Douglas K.R. & Liu, Jianhua & Zhu, Donghua, 2018. "A technology delivery system for characterizing the supply side of technology emergence: Illustrated for Big Data & Analytics," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 165-176.
  4. Jing Ma & Alan L. Porter, 2015. "Analyzing patent topical information to identify technology pathways and potential opportunities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 811-827, January.
  5. Coccia, Mario & Wang, Lili, 2015. "Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 155-169.
  6. Zhou, Xiao & Huang, Lu & Porter, Alan & Vicente-Gomila, Jose M., 2019. "Tracing the system transformations and innovation pathways of an emerging technology: Solid lipid nanoparticles," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 785-794.
  7. Kokshagina, Olga & Gillier, Thomas & Cogez, Patrick & Le Masson, Pascal & Weil, Benoit, 2017. "Using innovation contests to promote the development of generic technologies," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 152-164.
  8. Li, Munan & Porter, Alan L. & Suominen, Arho, 2018. "Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 285-296.
  9. 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.
  10. Lai, Kuei-Kuei & Chen, Yu-Long & Kumar, Vimal & Daim, Tugrul & Verma, Pratima & Kao, Fang-Chen & Liu, Ruirong, 2023. "Mapping technological trajectories and exploring knowledge sources: A case study of E-payment technologies," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  11. Maria Tsouri & Jens Hanson & Håkon Endresen Normann, 2020. "Does participation in knowledge networks facilitate international market access? The case of offshore wind," Working Papers on Innovation Studies 20200303, Centre for Technology, Innovation and Culture, University of Oslo.
  12. Wang, Ming-Yeu & Fang, Shih-Chieh & Chang, Yu-Hsuan, 2015. "Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 182-195.
  13. José A. Aznar-Sánchez & Juan F. Velasco-Muñoz & Belén López-Felices & Isabel M. Román-Sánchez, 2020. "An Analysis of Global Research Trends on Greenhouse Technology: Towards a Sustainable Agriculture," IJERPH, MDPI, vol. 17(2), pages 1-22, January.
  14. Zhang, Yi & Zhang, Guangquan & Chen, Hongshu & Porter, Alan L. & Zhu, Donghua & Lu, Jie, 2016. "Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 179-191.
  15. Lai, Kuei-Kuei & Bhatt, Priyanka C. & Kumar, Vimal & Chen, Hsueh-Chen & Chang, Yu-Hsin & Su, Fang-Pei, 2021. "Identifying the impact of patent family on the patent trajectory: A case of thin film solar cells technological trajectories," Journal of Informetrics, Elsevier, vol. 15(2).
  16. Li, Xin & Xie, Qianqian & Jiang, Jiaojiao & Zhou, Yuan & Huang, Lucheng, 2019. "Identifying and monitoring the development trends of emerging technologies using patent analysis and Twitter data mining: The case of perovskite solar cell technology," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 687-705.
  17. 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.
  18. Ernesto Mesa-Vázquez & Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Belén López-Felices, 2021. "Three Decades of Behavioural Economics in Agriculture. An Overview of Global Research," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
  19. 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.
  20. Svetlana Valerievna Ratner & Vladislav Valerievich Klochkov, 2017. "Scenario Forecast for Wind Turbine Manufacturing in Russia," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 144-151.
  21. Chan-Yuan Wong & Hon-Ngen Fung, 2017. "Science-technology-industry correlative indicators for policy targeting on emerging technologies: exploring the core competencies and promising industries of aspirant economies," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 841-867, May.
  22. Robinson, Douglas K.R. & Lagnau, Axel & Boon, Wouter P.C., 2019. "Innovation pathways in additive manufacturing: Methods for tracing emerging and branching paths from rapid prototyping to alternative applications," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 733-750.
  23. Arora, Sanjay K. & Foley, Rider W. & Youtie, Jan & Shapira, Philip & Wiek, Arnim, 2014. "Drivers of technology adoption — the case of nanomaterials in building construction," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 232-244.
  24. Jun, Seung-Pyo & Park, Do-Hyung, 2016. "Consumer information search behavior and purchasing decisions: Empirical evidence from Korea," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 97-111.
  25. Tsouri, Maria & Hanson, Jens & Normann, Håkon Endresen, 2021. "Does participation in knowledge networks facilitate market access in global innovation systems? The case of offshore wind," Research Policy, Elsevier, vol. 50(5).
  26. Ávila-Robinson, Alfonso & Islam, Nazrul & Sengoku, Shintaro, 2019. "Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 324-339.
  27. Wang, Lili & Jiang, Shan & Zhang, Shiyun, 2020. "Mapping technological trajectories and exploring knowledge sources: A case study of 3D printing technologies," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
  28. Sungchul Kim & Ronald Giachetti & Sangsung Park, 2018. "Real Options Analysis for Acquisition of New Technology: A Case Study of Korea K2 Tank’s Powerpack," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
  29. Susana Martins Moretto & António Brandão Moniz & Douglas Robinson, 2015. "Visions on high-speed trains: a methodological analysis," IET Working Papers Series 05/2015, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
  30. Kauffman, Robert J. & Liu, Jun & Ma, Dan, 2015. "Innovations in financial IS and technology ecosystems: High-frequency trading in the equity market," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 339-354.
  31. M. Lynne Markus & Kevin Mentzer, 2014. "Foresight for a responsible future with ICT," Information Systems Frontiers, Springer, vol. 16(3), pages 353-368, July.
  32. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.
  33. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
  34. Wang, Chang & Geng, Hongjun & Sun, Rui & Song, Huiling, 2022. "Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining," Resources Policy, Elsevier, vol. 77(C).
  35. Hwang, Seonho & Shin, Juneseuk, 2019. "Extending technological trajectories to latest technological changes by overcoming time lags," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 142-153.
  36. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
  37. Augustin IGNATOV, 2019. "The role of social media in enhancing the modern market relations," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 11(1), pages 35-54, April.
  38. Puccetti, Giovanni & Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2023. "Technology identification from patent texts: A novel named entity recognition method," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  39. Breitzman, Anthony & Thomas, Patrick, 2015. "The Emerging Clusters Model: A tool for identifying emerging technologies across multiple patent systems," Research Policy, Elsevier, vol. 44(1), pages 195-205.
  40. Elizabeth Gibson & Tugrul Daim & Edwin Garces & Marina Dabic, 2018. "Technology Foresight: A Bibliometric Analysis to Identify Leading and Emerging Methods," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(1), pages 6-24.
  41. Kwon, Seokbeom & Liu, Xiaoyu & Porter, Alan L. & Youtie, Jan, 2019. "Research addressing emerging technological ideas has greater scientific impact," Research Policy, Elsevier, vol. 48(9), pages 1-1.
  42. Zhu, Lin & Cunningham, Scott W., 2022. "Unveiling the knowledge structure of technological forecasting and social change (1969–2020) through an NMF-based hierarchical topic model," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  43. María J. López-Serrano & Juan F. Velasco-Muñoz & José A. Aznar-Sánchez & Isabel M. Román-Sánchez, 2020. "Sustainable Use of Wastewater in Agriculture: A Bibliometric Analysis of Worldwide Research," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
  44. Sungchul Kim & Dongsik Jang & Sunghae Jun & Sangsung Park, 2015. "A Novel Forecasting Methodology for Sustainable Management of Defense Technology," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
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