“Divergent” cross-domain stretching for technology fusion: validating the knowledge partition search model using patent data
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DOI: 10.1007/s11192-024-05049-5
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- Seunghyun Oh & Jaewoong Choi & Namuk Ko & Janghyeok Yoon, 2020. "Predicting product development directions for new product planning using patent classification-based link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1833-1876, December.
- Phanish Puranam & Murali Swamy, 2016. "How Initial Representations Shape Coupled Learning Processes," Organization Science, INFORMS, vol. 27(2), pages 323-335, April.
- Rosenberg, Nathan, 1963. "Technological Change in the Machine Tool Industry, 1840–1910," The Journal of Economic History, Cambridge University Press, vol. 23(4), pages 414-443, December.
- Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
- 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.
- Verhoeven, Dennis & Bakker, Jurriën & Veugelers, Reinhilde, 2016.
"Measuring technological novelty with patent-based indicators,"
Research Policy, Elsevier, vol. 45(3), pages 707-723.
- Dennis Verhoeven & Jurriën Bakker & Reinhilde Veugelers, 2015. "Measuring technological novelty with patent-based indicators," Working Papers of Department of Management, Strategy and Innovation, Leuven 501835, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Pezzoni, Michele & Veugelers, Reinhilde & Visentin, Fabiana, 2022.
"How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions,"
Research Policy, Elsevier, vol. 51(3).
- Michele Pezzoni & Reinhilde Veugelers & Fabiana Visentin, 2019. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Working Papers of Department of Management, Strategy and Innovation, Leuven 634946, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
- Michele Pezzoni & Reinhilde Veugelers & Fabiana Visentin, 2022. "How fast is this novel technology going to be a hit? Antecedents predicting follow-on inventions," Post-Print hal-03494455, HAL.
- Larry Samuelson, 2004. "Modeling Knowledge in Economic Analysis," Journal of Economic Literature, American Economic Association, vol. 42(2), pages 367-403, June.
- Keijl, S. & Gilsing, V.A. & Knoben, J. & Duysters, G., 2016. "The two faces of inventions: The relationship between recombination and impact in pharmaceutical biotechnology," Research Policy, Elsevier, vol. 45(5), pages 1061-1074.
- Arthur, W. Brian, 2007. "The structure of invention," Research Policy, Elsevier, vol. 36(2), pages 274-287, March.
- Sam Arts & Reinhilde Veugelers, 2015. "Technology familiarity, recombinant novelty, and breakthrough invention," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1215-1246.
- Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
- Euiseok Kim & Yongrae Cho & Wonjoon Kim, 2014. "Dynamic patterns of technological convergence in printed electronics technologies: patent citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 975-998, February.
- Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
- Cavalheiro, Gabriel Marcuzzo do Canto & Joia, Luiz Antonio & Van Veenstra, Anne Fleur, 2016. "Examining the trajectory of a standard for patent classification: An institutional account of a technical cooperation between EPO and USPTO," Technology in Society, Elsevier, vol. 46(C), pages 10-17.
- Nemet, Gregory F. & Johnson, Evan, 2012. "Do important inventions benefit from knowledge originating in other technological domains?," Research Policy, Elsevier, vol. 41(1), pages 190-200.
- Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
- Caviggioli, Federico, 2016. "Technology fusion: Identification and analysis of the drivers of technology convergence using patent data," Technovation, Elsevier, vol. 55, pages 22-32.
- Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
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Keywords
Technology fusion; Search and recombination; Patent data; Knowledge partition search model;All these keywords.
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