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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.
  4. 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.
  5. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
  6. 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.
  7. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  8. Babina, Tania & Bahaj, Saleem & Buchak, Greg & De Marco, Filippo & Foulis, Angus & Gornall, Will & Mazzola, Francesco & Yu, Tong, 2024. "Customer Data Access and Fintech Entry: Early Evidence from Open Banking," CEPR Discussion Papers 18797, C.E.P.R. Discussion Papers.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Sebastian Doerr & Jon Frost & Leonardo Gambacorta & Vatsala Shreeti, 2023. "Big techs in finance," BIS Working Papers 1129, Bank for International Settlements.
  14. 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.
  15. Cujean, Julien & Bustamante, Maria Cecilia & Frésard, Laurent, 2019. "Knowledge Cycles and Corporate Investment," CEPR Discussion Papers 14152, C.E.P.R. Discussion Papers.
  16. 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.
  17. 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.
  18. Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
  19. Lyu, Wenjing & Liu, Jin, 2021. "Artificial Intelligence and emerging digital technologies in the energy sector," Applied Energy, Elsevier, vol. 303(C).
  20. 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.
  21. 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.
  22. Rod Garratt & Michael Junho Lee, 2021. "Monetizing Privacy," Staff Reports 958, Federal Reserve Bank of New York.
  23. 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.
  24. 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).
  25. 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.
  26. 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.
  27. Hiroatsu Tanaka, 2022. "Equilibrium Yield Curves with Imperfect Information," Finance and Economics Discussion Series 2022-086, Board of Governors of the Federal Reserve System (U.S.).
  28. 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.
  29. 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).
  30. Yannelis, Constantine & Zhang, Anthony Lee, 2023. "Competition and selection in credit markets," Journal of Financial Economics, Elsevier, vol. 150(2).
  31. 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.
  32. 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.
  33. Maximilian Schaefer, 2025. "When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?," Papers 2503.03602, arXiv.org.
  34. Schaefer, Maximilian & Sapi, Geza, 2023. "Complementarities in learning from data: Insights from general search," Information Economics and Policy, Elsevier, vol. 65(C).
  35. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
  36. 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.
  37. 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.
  38. 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).
  39. 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.
  40. 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.
  41. Georgios Petropoulos & Bertin Martens & Geoffrey Parker & Marshall Van Alstyne, 2023. "Platform Competition and Information Sharing," CESifo Working Paper Series 10663, CESifo.
  42. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  43. Naudé, Wim, 2020. "Industrialization under Medieval Conditions? Global Development after COVID-19," GLO Discussion Paper Series 704, Global Labor Organization (GLO).
  44. repec:ecb:ecbdps:202220 is not listed on IDEAS
  45. 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).
  46. 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).
  47. Walther, Ansgar & Uettwiller, Antoine, 2019. "The Market for Data Privacy," CEPR Discussion Papers 13588, C.E.P.R. Discussion Papers.
  48. 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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