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The Impact of Big Data on Firm Performance: An Empirical Investigation

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Cited by:

  1. Dirk Bergemann & Marco Ottaviani, 2021. "Information Markets and Nonmarkets," Cowles Foundation Discussion Papers 2296, Cowles Foundation for Research in Economics, Yale University.
  2. Carl-Christian Groh, 2024. "Big Data and Inequality," CRC TR 224 Discussion Paper Series crctr224_2024_555, University of Bonn and University of Mannheim, Germany.
  3. Graef, Inge & Prüfer, Jens, 2021. "Governance of data sharing: A law & economics proposal," Research Policy, Elsevier, vol. 50(9).
  4. Patrick Bajari & Victor Chernozhukov & Ali Hortaçsu & Junichi Suzuki, 2019. "The Impact of Big Data on Firm Performance: An Empirical Investigation," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 33-37, May.
  5. Erik Brynjolfsson & Wang Jin & Kristina McElheran, 2021. "The power of prediction: predictive analytics, workplace complements, and business performance," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 56(4), pages 217-239, October.
  6. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  7. Dargnies, Marie-Pierre & Hakimov, Rustamdjan & Kübler, Dorothea, 2022. "Aversion to hiring algorithms: Transparency, gender profiling, and self-confidence," Discussion Papers, Research Unit: Market Behavior SP II 2022-202, WZB Berlin Social Science Center.
  8. Argentesi, Elena & Buccirossi, Paolo & Calvano, Emilio & Duso, Tomaso & Marrazzo, Alessia & Nava, Salvatore, 2021. "Merger Policy in Digital Markets: An Ex Post Assessment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(1), pages 95-140.
  9. Hamid Etemad, 2024. "Transformative potentials of generative artificial intelligence: Should international entrepreneurial enterprises adopt GEN.AI?," Journal of International Entrepreneurship, Springer, vol. 22(2), pages 141-163, June.
  10. 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.
  11. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
  12. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
  13. Victor Aguirregabiria & Jihye Jeon, 2020. "Firms’ Beliefs and Learning: Models, Identification, and Empirical Evidence," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 203-235, March.
  14. Frank M. Fossen & Trevor McLemore & Alina Sorgner, 2024. "Artificial Intelligence and Entrepreneurship," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 20(8), pages 781-904, December.
  15. Larson, William D. & Sinclair, Tara M., 2022. "Nowcasting unemployment insurance claims in the time of COVID-19," International Journal of Forecasting, Elsevier, vol. 38(2), pages 635-647.
  16. Huang, Qiongyu & Xu, Chuhong & Xue, Xiaolong & Zhu, Hui, 2023. "Can digital innovation improve firm performance: Evidence from digital patents of Chinese listed firms," International Review of Financial Analysis, Elsevier, vol. 89(C).
  17. Yiquan Gu & Leonardo Madio & Carlo Reggiani, 2022. "Data brokers co-opetition [The impact of big data on firm performance: an empirical investigation]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 820-839.
  18. Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
  19. Guy Aridor & Yishay Mansour & Aleksandrs Slivkins & Zhiwei Steven Wu, 2020. "Competing Bandits: The Perils of Exploration Under Competition," Papers 2007.10144, arXiv.org, revised Oct 2024.
  20. Maximilian Schäfer & Geza Sapi & Szabolcs Lorincz, 2018. "The Effect of Big Data on Recommendation Quality: The Example of Internet Search," Discussion Papers of DIW Berlin 1730, DIW Berlin, German Institute for Economic Research.
  21. Catherine Tucker, 2019. "Digital Data, Platforms and the Usual [Antitrust] Suspects: Network Effects, Switching Costs, Essential Facility," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(4), pages 683-694, June.
  22. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
  23. Kesler, Reinhold & Kummer, Michael E. & Schulte, Patrick, 2019. "Competition and privacy in online markets: Evidence from the mobile app industry," ZEW Discussion Papers 19-064, ZEW - Leibniz Centre for European Economic Research.
  24. Martin, Simon & Schmal, W. Benedikt, 2021. "Collusive compensation schemes aided by algorithms," DICE Discussion Papers 375, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  25. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
  26. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
  27. Federico Etro, 2021. "Product selection in online marketplaces," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(3), pages 614-637, August.
  28. 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.
  29. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
  30. Hyunjin Kim & Edward L. Glaeser & Andrew Hillis & Scott Duke Kominers & Michael Luca, 2024. "Decision authority and the returns to algorithms," Strategic Management Journal, Wiley Blackwell, vol. 45(4), pages 619-648, April.
  31. Guy Aridor & Yeon-Koo Che & Tobias Salz, 2020. "The Effect of Privacy Regulation on the Data Industry: Empirical Evidence from GDPR," NBER Working Papers 26900, National Bureau of Economic Research, Inc.
  32. Carballa-Smichowski, Bruno & Lefouili, Yassine & Mantovani, Andrea & Reggiani, Carlo, 2025. "Data Sharing or Analytics Sharing?," TSE Working Papers 25-1615, Toulouse School of Economics (TSE).
  33. 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).
  34. Yang, Gangqiang & Nie, Yiming & Li, Honggui & Wang, Haisen, 2023. "Digital transformation and low-carbon technology innovation in manufacturing firms: The mediating role of dynamic capabilities," International Journal of Production Economics, Elsevier, vol. 263(C).
  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. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.
  38. Charles B. Weinberg & Cord Otten & Barak Orbach & Jordi McKenzie & Ricard Gil & Darlene C. Chisholm & Suman Basuroy, 2021. "Technological change and managerial challenges in the movie theater industry," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 239-262, June.
  39. Saravanan Kesavan & Tarun Kushwaha, 2020. "Field Experiment on the Profit Implications of Merchants’ Discretionary Power to Override Data-Driven Decision-Making Tools," Management Science, INFORMS, vol. 66(11), pages 5182-5190, November.
  40. Bertin Martens, 2024. "The Impact of EU Data Regulations on Innovation, Competitiveness, and Growth: How Can Their Quality and Capability Be Improved?," EconPol Forum, CESifo, vol. 25(06), pages 13-17, November.
  41. Maximilian Schäfer & Geza Sapi, 2020. "Learning from Data and Network Effects: The Example of Internet Search," Discussion Papers of DIW Berlin 1894, DIW Berlin, German Institute for Economic Research.
  42. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  43. Norbäck, Pehr-Johan & Persson, Lars, 2023. "Why Big Data Can Make Creative Destruction More Creative – But Less Destructive," Working Paper Series 1454, Research Institute of Industrial Economics.
  44. Zhao, Shuang & Guan, Yunfang & Zhou, Haiyan & Hu, Feng, 2024. "Making digital technology innovation happen: The role of the CEO's information technology backgrounds," Economic Modelling, Elsevier, vol. 140(C).
  45. Koski, Heli & Kässi, Otto & Braesemann, Fabian, 2020. "Killers on the Road of Emerging Start-ups – Implications for Market Entry and Venture Capital Financing," ETLA Working Papers 81, The Research Institute of the Finnish Economy.
  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. Shan Huang & Michael Allan Ribers & Hannes Ullrich, 2021. "The Value of Data for Prediction Policy Problems: Evidence from Antibiotic Prescribing," Discussion Papers of DIW Berlin 1939, DIW Berlin, German Institute for Economic Research.
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