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Mapping the technological landscape: Measuring technology distance, technological footprints, and technology evolution

Citations

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Cited by:

  1. Nichele Cristina de Freitas Juchneski & Adelaide Maria de Souza Antunes, 2022. "Do the Main Developers of Electrical and Electronic Equipment Comply with the Precepts of the Circular Economy Concepts? A Patent-Based Approach," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
  2. Yan, Hong-Bin & Li, Ming, 2022. "Consumer demand based recombinant search for idea generation," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  3. François Lafond & Daniel Kim, 2019. "Long-run dynamics of the U.S. patent classification system," Journal of Evolutionary Economics, Springer, vol. 29(2), pages 631-664, April.
  4. Khraisha, Tamer, 2020. "Complex economic problems and fitness landscapes: Assessment and methodological perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 390-407.
  5. Kathryn Rudie Harrigan & Maria Chiara Guardo & Bo Cowgill, 2017. "Multiplicative-innovation synergies: tests in technological acquisitions," The Journal of Technology Transfer, Springer, vol. 42(5), pages 1212-1233, October.
  6. Ivan Lugovoi & Dimitrios A. Andritsos & Claire Senot, 2022. "Novelty and scope of process innovation: The role of related and unrelated manufacturing experience," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3877-3895, October.
  7. Yuan Zhou & Fang Dong & Yufei Liu & Liang Ran, 2021. "A deep learning framework to early identify emerging technologies in large-scale outlier patents: an empirical study of CNC machine tool," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 969-994, February.
  8. Abhishek Nagaraj, 2022. "T he P rivate I mpact of P ublic D ata: L andsat S atellite M aps I ncreased G old D iscoveries and E ncouraged E ntry," Management Science, INFORMS, vol. 68(1), pages 564-582, January.
  9. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
  10. Lee, Changjun & Shin, Hyunha & Kim, Keungoui & Kogler, Dieter F., 2022. "The effects of regional capacity in knowledge recombination on production efficiency," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  11. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
  12. Basso, Fernanda Gisele & Pereira, Cristiano Gonçalves & Porto, Geciane Silveira, 2021. "Cooperation and technological areas in the state universities of São Paulo: An analysis from the perspective of the triple helix model," Technology in Society, Elsevier, vol. 65(C).
  13. Aistleitner, Matthias & Gräbner, Claudius & Hornykewycz, Anna, 2021. "Theory and empirics of capability accumulation: Implications for macroeconomic modeling," Research Policy, Elsevier, vol. 50(6).
  14. Nomaler, Önder & Verspagen, Bart, 2021. "Patent landscaping using 'green' technological trajectories," MERIT Working Papers 2021-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  15. Changyong Lee & Suckwon Hong & Juram Kim, 2021. "Anticipating multi-technology convergence: a machine learning approach using patent information," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 1867-1896, March.
  16. Nomaler, Onder & Verspagen, Bart, 2019. "Greentech homophily and path dependence in a large patent citation network," MERIT Working Papers 2019-051, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  17. Wachs, Johannes & Vedres, Balázs, 2021. "Does crowdfunding really foster innovation? Evidence from the board game industry," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  18. Fredrich, Viktor & Bouncken, Ricarda B. & Tiberius, Victor, 2022. "Dyadic business model convergence or divergence in alliances? – A configurational approach," Journal of Business Research, Elsevier, vol. 153(C), pages 300-308.
  19. Ernest Miguélez & Rosina Moreno, 2016. "“Relatedness, external linkages and innovation”," AQR Working Papers 201603, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2016.
  20. Lee, Changyong, 2021. "A review of data analytics in technological forecasting," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  21. Clancy, Matthew S., 2018. "Inventing by combining pre-existing technologies: Patent evidence on learning and fishing out," Research Policy, Elsevier, vol. 47(1), pages 252-265.
  22. Raysa Geaquinto Rocha & Paulo Gonçalves Pinheiro, 2021. "Organizational Spirituality: Concept and Perspectives," Journal of Business Ethics, Springer, vol. 171(2), pages 241-252, June.
  23. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  24. Bonnin Roca, Jaime & O'Sullivan, Eoin, 2020. "Seeking coherence between barriers to manufacturing technology adoption and innovation policy," International Journal of Production Economics, Elsevier, vol. 230(C).
  25. Lee, Changyong & Jeon, Daeseong & Ahn, Joon Mo & Kwon, Ohjin, 2020. "Navigating a product landscape for technology opportunity analysis: A word2vec approach using an integrated patent-product database," Technovation, Elsevier, vol. 96.
  26. Zhu, Shanshan & Hagedoorn, John & Zhang, Shuhui & Liu, Fengchao, 2021. "Effects of technological distance on innovation performance under heterogeneous technological orientations," Technovation, Elsevier, vol. 106(C).
  27. Jacopo Di Domenico & Alberto Russo, 2022. "Innovation, growth, and productivity appropriation. How the elites learned to stop worrying and love public debt," Working Papers 2022/12, Economics Department, Universitat Jaume I, Castellón (Spain).
  28. José Manuel López‐Fernández & Mariluz Maté‐Sánchez‐Val & Francisco Manuel Somohano‐Rodriguez, 2021. "The effect of micro‐territorial networks on industrial small and medium enterprises' innovation: A case study in the Spanish region of Cantabria," Papers in Regional Science, Wiley Blackwell, vol. 100(1), pages 51-77, February.
  29. Qu, Guannan & Chen, Jin & Zhang, Ruhao & Wang, Luyao & Yang, Yayu, 2023. "Technological search strategy and breakthrough innovation: An integrated approach based on main-path analysis," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  30. Dörr, Julian Oliver, 2022. "Mapping technologies to business models: An application to clean technologies and entrepreneurship," ZEW Discussion Papers 22-057, ZEW - Leibniz Centre for European Economic Research.
  31. Koki Oikawa, 2017. "Inter-firm Technological Proximity and Knowledge Spillovers," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 13(3), pages 305-324, November.
  32. Jeongsik “Jay” Lee & Hyun Ju Jung & Hyunwoo Park, 2023. "Rare is beautiful? Rareness, technology value, and the moderating role of search domain and knowledge maturity," Production and Operations Management, Production and Operations Management Society, vol. 32(4), pages 1019-1040, April.
  33. 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.
  34. Eum, Wonsub & Lee, Jeong-Dong, 2022. "The co-evolution of production and technological capabilities during industrial development," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 454-469.
  35. Kathryn Rudie Harrigan & Maria Chiara DiGuardo, 2017. "Sustainability of patent-based competitive advantage in the U.S. communications services industry," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1334-1361, December.
  36. Subtil Lacerda, Juliana & van den Bergh, Jeroen C.J.M., 2020. "Effectiveness of an ‘open innovation’ approach in renewable energy: Empirical evidence from a survey on solar and wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
  37. Lee, Jong-Seon & Kim, Nami & Bae, Zong-Tae, 2019. "The effects of patent litigation involving NPEs on firms’ patent strategies," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  38. Claudius Gräbner & Anna Hornykewycz, 2022. "Capability accumulation and product innovation: an agent-based perspective," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 87-121, January.
  39. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
  40. Eum, Wonsub & Lee, Jeong-Dong, 2019. "Role of production in fostering innovation," Technovation, Elsevier, vol. 84, pages 1-10.
  41. Healey, Mark P. & Bleda, Mercedes & Querbes, Adrien, 2021. "Opportunity evaluation in teams: A social cognitive model," Journal of Business Venturing, Elsevier, vol. 36(4).
  42. Katsuyuki Kaneko & Yuya Kajikawa, 2023. "Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 163-177, June.
  43. Tanya Araújo & Elsa Fontainha, 2018. "Are scientific memes inherited differently from gendered authorship?," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 953-972, November.
  44. Christian Omobhude & Shih-Hsin Chen, 2019. "The Roles and Measurements of Proximity in Sustained Technology Development: A Literature Review," Sustainability, MDPI, vol. 11(1), pages 1-30, January.
  45. Guan, JianCheng & Zhang, JingJing, 2018. "The dynamics of partner and knowledge portfolios in alternative energy field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2869-2879.
  46. Jip Leendertse & Frank J. van Rijnsoever & Chris P. Eveleens, 2021. "The sustainable start‐up paradox: Predicting the business and climate performance of start‐ups," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1019-1036, February.
  47. Ren, Haiying & Zhao, Yuhui, 2021. "Technology opportunity discovery based on constructing, evaluating, and searching knowledge networks," Technovation, Elsevier, vol. 101(C).
  48. Shuanglei Wu & Yongping Wei & Brian Head & Yan Zhao & Scott Hanna, 2019. "The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-16, December.
  49. Berg, S. & Wustmans, M. & Bröring, S., 2019. "Identifying first signals of emerging dominance in a technological innovation system: A novel approach based on patents," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 706-722.
  50. Song, Kisik & Kim, Kyuwoong & Lee, Sungjoo, 2018. "Identifying promising technologies using patents: A retrospective feature analysis and a prospective needs analysis on outlier patents," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 118-132.
  51. Guangtong Li & L. Siddharth & Jianxi Luo, 2023. "Embedding knowledge graph of patent metadata to measure knowledge proximity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(4), pages 476-490, April.
  52. Sun, Bixuan & Kolesnikov, Sergey & Goldstein, Anna & Chan, Gabriel, 2021. "A dynamic approach for identifying technological breakthroughs with an application in solar photovoltaics," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  53. Galvin, Peter & Burton, Nicholas & Nyuur, Richard, 2020. "Leveraging inter-industry spillovers through DIY laboratories: Entrepreneurship and innovation in the global bicycle industry," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
  54. Hofmann, Peter & Keller, Robert & Urbach, Nils, 2019. "Inter-technology relationship networks: Arranging technologies through text mining," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 202-213.
  55. 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).
  56. Changyong Lee & Gyumin Lee, 2019. "Technology opportunity analysis based on recombinant search: patent landscape analysis for idea generation," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 603-632, November.
  57. Kathryn Rudie Harrigan & Maria Chiara Guardo & Elona Marku, 2018. "Patent value and the Tobin’s q ratio in media services," The Journal of Technology Transfer, Springer, vol. 43(1), pages 1-19, February.
  58. Yawen Qin & Xiaozhen Qin & Haohui Chen & Xun Li & Wei Lang, 2021. "Measuring cognitive proximity using semantic analysis: A case study of China's ICT industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6059-6084, July.
  59. Winarno, Wahyu Agus & Tjahjadi, Bambang & Irwanto, Andry, 2021. "Time Lag Effects of IT Investment on Firm Performance: Evidence from Indonesia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 55(3), pages 89-101.
  60. Li, Munan & Porter, Alan L. & Suominen, Arho & Burmaoglu, Serhat & Carley, Stephen, 2021. "An exploratory perspective to measure the emergence degree for a specific technology based on the philosophy of swarm intelligence," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  61. Daniel Tzabbar & Jeongsik (Jay) Lee & Donghwi (Josh) Seo, 2022. "Collaborative structure and post‐mobility knowledge spillovers: A dyadic approach," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1728-1762, September.
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