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Big Data and Firm Dynamics

Citations

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Cited by:

  1. Naudé, Wim, 2019. "The Race against the Robots and the Fallacy of the Giant Cheesecake: Immediate and Imagined Impacts of Artificial Intelligence," IZA Discussion Papers 12218, Institute of Labor Economics (IZA).
  2. Isaac Baley & Laura Veldkamp, 2021. "Bayesian learning," Economics Working Papers 1797, Department of Economics and Business, Universitat Pompeu Fabra.
  3. Oliver Falck & Johannes Koenen, 2020. "Rohstoff „Daten“: Volkswirtschaflicher Nutzen von Datenbereitstellung – eine Bestandsaufnahme," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 113, July.
  4. Yin, Lei & Sun, Guanglin & Kong, Tao, 2025. "Regional big data development and corporate financial fraud," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
  5. Ruyu Chen & Natarajan Balasubramanian & Chris Forman, 2024. "How does worker mobility affect business adoption of a new technology? The case of machine learning," Strategic Management Journal, Wiley Blackwell, vol. 45(8), pages 1510-1538, August.
  6. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  7. Toni Ahner & Katrin Assenmacher & Peter Hoffmann & Agnese Leonello & Cyril Monnet & Davide Porcellacchia, 2024. "The Economics of Central Bank Digital Currency," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 221-274, October.
  8. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  9. Babina, Tania & Bahaj, Saleem & Buchak, Greg & De Marco, Filippo & Foulis, Angus & Gornall, Will & Mazzola, Francesco & Yu, Tong, 2025. "Customer data access and fintech entry: Early evidence from open banking," Journal of Financial Economics, Elsevier, vol. 169(C).
  10. Martin Beraja & David Y Yang & Noam Yuchtman, 2023. "Data-intensive Innovation and the State: Evidence from AI Firms in China," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(4), pages 1701-1723.
  11. Zhen Wang & Chunhui Yuan & Xiaolong Li, 2024. "Unleashing the power of big data for platform firms: A configuration analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 300-314, January.
  12. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asu Ozdaglar, 2022. "Too Much Data: Prices and Inefficiencies in Data Markets," American Economic Journal: Microeconomics, American Economic Association, vol. 14(4), pages 218-256, November.
  13. Rodepeter, Elisa & Gschnaidtner, Christoph & Hottenrott, Hanna, 2023. "Big data and start-up performance," ZEW Discussion Papers 23-061, ZEW - Leibniz Centre for European Economic Research.
  14. Sebastian Doerr & Jon Frost & Leonardo Gambacorta & Vatsala Shreeti, 2023. "Big techs in finance," BIS Working Papers 1129, Bank for International Settlements.
  15. Ishmael Tingbani & Samuel Salia & Christopher A. Hartwell & Alhassan Yahaya, 2025. "Looking in the rear‐view mirror: Evidence from artificial intelligence investment, labour market conditions and firm growth," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 961-982, January.
  16. Cujean, Julien & Bustamante, Maria Cecilia & Frésard, Laurent, 2019. "Knowledge Cycles and Corporate Investment," CEPR Discussion Papers 14152, C.E.P.R. Discussion Papers.
  17. Zhijun Chen & Chongwoo Choe & Jiajia Cong & Noriaki Matsushima, 2022. "Data‐driven mergers and personalization," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 3-31, March.
  18. Ze Chen & Qiming Yang & Zhihao Wu & Jiajun Min, 2024. "A timely helping hand: China‐U.S. Trade War, government subsidy, and firm innovation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(6), pages 3564-3588, September.
  19. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
  20. Tanaka, Hiroatsu, 2025. "Equilibrium yield curves with imperfect information," Journal of Monetary Economics, Elsevier, vol. 149(C).
  21. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  22. Massimo Motta & Martin Peitz, 2023. "Denial of Interoperability and Future First-Party Entry," CRC TR 224 Discussion Paper Series crctr224_2023_447, University of Bonn and University of Mannheim, Germany.
  23. Pehr-Johan Norbäck & Lars Persson, 2024. "Why generative AI can make creative destruction more creative but less destructive," Small Business Economics, Springer, vol. 63(1), pages 349-377, June.
  24. Rod Garratt & Michael Junho Lee, 2021. "Monetizing Privacy," Staff Reports 958, Federal Reserve Bank of New York.
  25. Xiaohui Chen & Kongbiao Lu, 2024. "How does digital technology administrative penalty affect big data technology innovation: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
  26. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
  27. Kaiwei Jia & Yanlin Chen, 2025. "Research on the Impact of Data Factors on Enterprise Green Innovation—Evidence from Chinese Manufacturing Enterprises," Sustainability, MDPI, vol. 17(5), pages 1-20, March.
  28. Ye Li & Simon Mayer & Simon Mayer, 2021. "Money Creation in Decentralized Finance: A Dynamic Model of Stablecoin and Crypto Shadow Banking," CESifo Working Paper Series 9260, CESifo.
  29. Hiroatsu Tanaka, 2022. "Equilibrium Yield Curves with Imperfect Information," Finance and Economics Discussion Series 2022-086r1, Board of Governors of the Federal Reserve System (U.S.), revised 13 Aug 2024.
  30. Haisen Wang & Gangqiang Yang & Ziyang Yue, 2023. "Breaking through ingrained beliefs: revisiting the impact of the digital economy on carbon emissions," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
  31. Li, Yuetong & Wang, Xinyi & Zheng, Xiaojia, 2024. "Data assets and corporate sustainable development: evidence from ESG in China," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
  32. Yannelis, Constantine & Zhang, Anthony Lee, 2023. "Competition and selection in credit markets," Journal of Financial Economics, Elsevier, vol. 150(2).
  33. Feiyan Yang & Jiahui Ren & Changyuan Xia, 2025. "Digitalisation and cream skimming adverse selection in the property-casualty insurance industry: evidence from China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 50(2), pages 302-334, April.
  34. Ye Liu & Yiyun Wu & Xiwei Zhu, 2024. "Industrial clusters and carbon emission reduction: evidence from China," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 73(2), pages 557-597, August.
  35. Maximilian Schaefer, 2025. "When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?," Papers 2503.03602, arXiv.org.
  36. Schaefer, Maximilian & Sapi, Geza, 2023. "Complementarities in learning from data: Insights from general search," Information Economics and Policy, Elsevier, vol. 65(C).
  37. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
  38. Valeriu Ioan-Franc & Ioan I. Gaf-Deac, 2024. "Participation of Artificial Intelligence in Economic Growth in Romania," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 26(67), pages 944-944, August.
  39. Tania Babina & Alex X. He & Anastassia Fedyk & James Hodson, 2022. "Artificial Intelligence, Firm Growth, and Product Innovation," NBER Chapters, in: Economics of Artificial Intelligence, National Bureau of Economic Research, Inc.
  40. Lee, Yong Suk & Kim, Taekyun & Choi, Sukwoong & Kim, Wonjoon, 2022. "When does AI pay off? AI-adoption intensity, complementary investments, and R&D strategy," Technovation, Elsevier, vol. 118(C).
  41. Oliver Falck & Johannes Koenen, 2020. "Resource “Data”: Economic Benefits of Data Provision," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(03), pages 31-41, September.
  42. Wim Naudé, 2023. "Late industrialisation and global value chains under platform capitalism," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(1), pages 91-119, March.
  43. Georgios Petropoulos & Bertin Martens & Geoffrey Parker & Marshall Van Alstyne, 2023. "Platform Competition and Information Sharing," CESifo Working Paper Series 10663, CESifo.
  44. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  45. Naudé, Wim, 2020. "Industrialization under Medieval Conditions? Global Development after COVID-19," GLO Discussion Paper Series 704, Global Labor Organization (GLO).
  46. Wang, Li & Wu, Yuhan & Huang, Zeyu & Wang, Yanan, 2024. "Big data application and corporate investment decisions: Evidence from A-share listed companies in China," International Review of Financial Analysis, Elsevier, vol. 94(C).
  47. Gaspar, José-Miguel & Wang, Sumingyue & Xu, Liang, 2024. "Digitalization and the performance of non-technological firms: Evidence from the COVID-19 and natural disaster shocks," Journal of Corporate Finance, Elsevier, vol. 89(C).
  48. Walther, Ansgar & Uettwiller, Antoine, 2019. "The Market for Data Privacy," CEPR Discussion Papers 13588, C.E.P.R. Discussion Papers.
  49. Liu, Rui & Zheng, Linhao & Chen, Zheang & Cheng, Mengyao & Ren, Yuzhuo, 2024. "Digitalization through supply chains: Evidence from the customer concentration of Chinese listed companies," Economic Modelling, Elsevier, vol. 134(C).
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