How is the development of industrial digital-real integration progressing?—Evidence from China’s cultural industries
Author
Abstract
Suggested Citation
DOI: 10.1057/s41599-025-04743-w
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
- Paul Tracey & Gordon L. Clark, 2003. "Alliances, Networks and Competitive Strategy: Rethinking Clusters of Innovation," Growth and Change, Wiley Blackwell, vol. 34(1), pages 1-16, February.
- 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.
- Milan Miric & Nan Jia & Kenneth G. Huang, 2023. "Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 491-519, February.
- Tsolakis, Naoum & Zissis, Dimitris & Tjahjono, Benny, 2023. "Scrutinising the interplay between governance and resilience in supply chain management: A systems thinking framework," European Management Journal, Elsevier, vol. 41(1), pages 164-180.
- Choi, Jaewoong & Yoon, Janghyeok, 2022. "Measuring knowledge exploration distance at the patent level: Application of network embedding and citation analysis," Journal of Informetrics, Elsevier, vol. 16(2).
- Christopher L. Benson & Christopher L. Magee, 2013. "Erratum to: A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 83-83, July.
- 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.
- Yue Kang & Zhao Cai & Chee-Wee Tan & Qian Huang & Hefu Liu, 2020. "Natural language processing (NLP) in management research: A literature review," Journal of Management Analytics, Taylor & Francis Journals, vol. 7(2), pages 139-172, April.
- Zhaozhi Wang & Shoufu Lin & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2024. "The Digital Economy and Real Economy: The Dynamic Interaction Effect and the Coupling Coordination Degree," Sustainability, MDPI, vol. 16(13), pages 1-20, July.
- Christopher L. Benson & Christopher L. Magee, 2013. "A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 69-82, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Na Liu & Jianqi Mao & Jiancheng Guan, 2020. "Knowledge convergence and organization innovation: the moderating role of relational embeddedness," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1899-1921, December.
- Changbae Mun & Sejun Yoon & Hyunseok Park, 2019. "Structural decomposition of technological domain using patent co-classification and classification hierarchy," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 633-652, November.
- Parraguez, Pedro & Škec, Stanko & e Carmo, Duarte Oliveira & Maier, Anja, 2020. "Quantifying technological change as a combinatorial process," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
- Seongkyoon Jeong & Jong-Chan Kim & Jae Young Choi, 2015. "Technology convergence: What developmental stage are we in?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 841-871, September.
- 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).
- Park, Mingyu & Geum, Youngjung, 2022. "Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Yuan Gao & Emiliya Lazarova, 2024. "A new empirical index to track the technological novelty of inventions: A sector-level analysis," Journal of Evolutionary Economics, Springer, vol. 34(4), pages 873-900, December.
- Li, Xin & Wang, Yan, 2024. "A novel integrated approach for quantifying the convergence of disruptive technologies from science to technology," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
- Zhao, Shengchao & Zeng, Deming & Li, Jian & Feng, Ke & Wang, Yao, 2023. "Quantity or quality: The roles of technology and science convergence on firm innovation performance," Technovation, Elsevier, vol. 126(C).
- Kim, Yong Jin & Lee, Duk Hee, 2020. "Technology convergence networks for flexible display application: A comparative analysis of latecomers and leaders," Japan and the World Economy, Elsevier, vol. 55(C).
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024.
"AI adoption in America: Who, what, and where,"
Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Krof & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," Working Papers 23-48, Center for Economic Studies, U.S. Census Bureau.
- Martin Ho & Henry CW Price & Tim S Evans & Eoin O'Sullivan, 2023. "Order in Innovation," Papers 2302.13076, arXiv.org.
- Qiang Gao & Man Jiang, 2024. "Exploring technology fusion by combining latent Dirichlet allocation with Doc2vec: a case of digital medicine and machine learning," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(7), pages 4043-4070, July.
- Ansgar Moeller & Martin G. Moehrle, 2015. "Completing keyword patent search with semantic patent search: introducing a semiautomatic iterative method for patent near search based on semantic similarities," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 77-96, January.
- Benson, Christopher L. & Magee, Christopher L., 2014. "On improvement rates for renewable energy technologies: Solar PV, wind turbines, capacitors, and batteries," Renewable Energy, Elsevier, vol. 68(C), pages 745-751.
- Shubbak, Mahmood H., 2019. "Advances in solar photovoltaics: Technology review and patent trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
- Marina Flamand & Vincent Frigant & Stéphane Miollan, 2025. "Knowledge production in technological innovation system: A comprehensive evaluation using a multi-criteria framework based on patent data—a case study on hydrogen storage," Post-Print hal-04969613, HAL.
- Lee, Hyunmin, 2023. "Converging technology to improve firm innovation competencies and business performance: Evidence from smart manufacturing technologies," Technovation, Elsevier, vol. 123(C).
- Liangru Yu & Bo Yu, 2024. "Uncovering the impact of technology convergence on innovation quality: From the perspective of ego‐network dynamics pathway," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 3641-3662, September.
- Fang Han & Christopher L. Magee, 2018. "Testing the science/technology relationship by analysis of patent citations of scientific papers after decomposition of both science and technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 767-796, August.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04743-w. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.com/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.