IDEAS home Printed from https://ideas.repec.org/r/bla/stratm/v44y2023i2p491-519.html

Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Vivek Astvansh & Joseph J. Simpson, 2026. "A Firm’s Operational Risk: Data Set and Empirical Evidence," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 326-341, January.
  2. Rui Huang & Hongqian Wang, 2025. "How is the development of industrial digital-real integration progressing?—Evidence from China’s cultural industries," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
  3. Nathalie Greenan & Dario Guarascio & Jelena Reljic, 2025. "AI and the labour market: opening the black box," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 925-951, December.
  4. Cong Cheng & Jian Dai, 2025. "Predicting Cross-border Merger and Acquisition Completion through CEO Characteristics: A Machine Learning Approach," Management International Review, Springer, vol. 65(1), pages 43-84, February.
  5. Li, Wanqing & Yu, Jiang & Chen, Feng, 2025. "Linking firm performance with innovation culture: An algorithmic approach towards theory building," Journal of Business Research, Elsevier, vol. 187(C).
  6. Yakubovich, Valery & Wu, Shuping, 2025. "OrgTech: Evidence of organizational innovations in patent data," Research Policy, Elsevier, vol. 54(5).
  7. Huang, Kenneth G. & Su, Yu-Shan & Chen, Jin & Kajikawa, Yuya, 2025. "Shaping the future through developing and managing breakthrough innovations: A new conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  8. Han Li & Feng Tian, 2026. "Advancing Decision-Making through AI-Human Collaboration: A Systematic Review and Conceptual Framework," Group Decision and Negotiation, Springer, vol. 35(2), pages 1-24, June.
  9. Yan Liu & He Wang, 2024. "Who on Earth Is Using Generative AI ?," Policy Research Working Paper Series 10870, The World Bank.
  10. 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.
  11. Liu, Yan & Wang, He, 2026. "Who on earth is using Generative AI?," World Development, Elsevier, vol. 199(C).
  12. Zhou, Yuan & Zhang, Qintian & Xu, Guannan & Wang, Yanmeng, 2025. "Regional S&T planning and green generic technologies: A spatial differences-in-difference analysis," Energy Economics, Elsevier, vol. 150(C).
  13. Amore, Mario Daniele & D’Angelo, Valentino & Le Breton-Miller, Isabelle & Miller, Danny & Pelucco, Valerio & Van Essen, Marc, 2024. "Using machine learning to identify and measure the family influence on companies," Journal of Family Business Strategy, Elsevier, vol. 15(4).
  14. Liu, Yeshen & Wang, Beibei & Song, Zhe, 2025. "Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance," International Review of Financial Analysis, Elsevier, vol. 97(C).
  15. Xueming Luo & Nan Jia & Erya Ouyang & Zheng Fang, 2024. "Introducing machine‐learning‐based data fusion methods for analyzing multimodal data: An application of measuring trustworthiness of microenterprises," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1597-1629, August.
  16. Léonard Boussioux & Jacqueline N. Lane & Miaomiao Zhang & Vladimir Jacimovic & Karim R. Lakhani, 2024. "The Crowdless Future? Generative AI and Creative Problem-Solving," Organization Science, INFORMS, vol. 35(5), pages 1589-1607, September.
  17. Wang, Tang & Libaers, Dirk & Yang, Xiaoming & Hu, Lingshu, 2025. "Publishing top entrepreneurship research: A dilemma for entrepreneurship scholars," Journal of Business Venturing Insights, Elsevier, vol. 23(C).
  18. An, Meng & Lin, Jiabao & Luo, Xin (Robert), 2024. "The impact of human AI skills on organizational innovation: The moderating role of digital organizational culture," Journal of Business Research, Elsevier, vol. 182(C).
  19. Annamaria Conti & Christian Peukert & Maria Roche, 2025. "Beefing IT Up for Your Investor? Engagement with Open Source Communities, Innovation, and Startup Funding: Evidence from GitHub," Organization Science, INFORMS, vol. 36(4), pages 1551-1573, July.
  20. Zhao, Xuefeng & Wu, Weiwei & Wu, Delin, 2024. "How does AI perform in industry chain? A patent claims analysis approach," Technology in Society, Elsevier, vol. 79(C).
  21. Wu, You & Xu, Wanyu & Zhang, Yun & Zheng, Yingfei, 2025. "Improving the synergy between corporate venture capital and internal innovation: Role of implementation strategy and firm digitalization," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  22. Junrong Zhang & Jianzhi Qiao, 2025. "Tracing thematic evolution in healthcare AI: evidence from patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(12), pages 7215-7238, December.
  23. Lapo Santarlasci & Armando Rungi & Loredana Fattorini & Nestor Maslej, 2025. "Owning the Intelligence: Global AI Patents Landscape and Europe's Quest for Technological Sovereignty," Papers 2512.19569, arXiv.org.
  24. Sarah M. Rovito & John Kamp & Amir Etemadi, 2025. "Exploring Department of the Navy SBIR Phase III awards and corresponding public sector commercialization success factors," The Journal of Technology Transfer, Springer, vol. 50(4), pages 1363-1395, August.
  25. Shumei Han & Di Zhang & Hongfeng Zhang & Shuaijun Lin, 2025. "Artificial Intelligence Technology, Organizational Learning Capability, and Corporate Innovation Performance: Evidence from Chinese Specialized, Refined, Unique, and Innovative Enterprises," Sustainability, MDPI, vol. 17(6), pages 1-26, March.
  26. Anastasios Evgenidis & Apostolos Fasianos, 2025. "AI news shocks and the macroeconomy: evidence from UK patent data," IFS Working Papers W25/48, Institute for Fiscal Studies.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.