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

Citations

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Cited by:

  1. Marie-Pierre Dargnies & Rustamdjan Hakimov & Dorothea Kübler, 2026. "Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence," Management Science, INFORMS, vol. 72(1), pages 285-301, January.
  2. 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.
  3. 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.
  4. 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.
  5. 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).
  6. 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.
  7. 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.
  8. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  9. Gillian K. Hadfield & Andrew Koh, 2025. "An Economy of AI Agents," Papers 2509.01063, arXiv.org.
  10. 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.
  11. Axun Xing & Haiyan Wang & Bei Bian & Xinxin Guo, 2024. "Contract Theory-Based Collection, Updating, and Packaging Combination Strategies in Data Trading," Service Science, INFORMS, vol. 16(4), pages 297-318, December.
  12. 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.
  13. 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).
  14. 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).
  15. Gao, Dengyun & Liu, Chang & Sun, Zhanwei, 2025. "Data elements and corporate innovation: A discussion of corporate innovation strategy," Finance Research Letters, Elsevier, vol. 76(C).
  16. Hyunjin Kim, 2025. "The Value of Competitor Information: Evidence from a Field Experiment," Management Science, INFORMS, vol. 71(4), pages 3600-3621, April.
  17. Xudong Lin & Shuilin Liu & Guowei Dou & Ruochen Zeng, 2026. "Platform value-added service strategy based on data factor endowment," Electronic Commerce Research, Springer, vol. 26(2), pages 2055-2088, April.
  18. Carballa-Smichowski, Bruno & Duch-Brown, Néstor & Höcük, Seyit & Kumar, Pradeep & Martens, Bertin & Mulder, Joris & Prüfer, Patricia, 2025. "Economies of scope in data aggregation: Evidence from health data," Information Economics and Policy, Elsevier, vol. 71(C).
  19. 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.
  20. 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.
  21. Chi, Yuxue & Jing, Zhongbo & Zhang, Wei, 2026. "Digital linkage and inter-firm risk spillovers: Evidence based on the knowledge graph," Journal of Business Research, Elsevier, vol. 204(C).
  22. 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).
  23. Schaefer, Maximilian & Sapi, Geza & Lorincz, Szabolcs, 2018. "The effect of big data on recommendation quality: The example of internet search," DICE Discussion Papers 284, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  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. Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
  26. Bruno Carballa Smichowski & Yassine Lefouili & Andrea Mantovani & Carlo Reggiani, 2025. "Data Sharing or Analytics Sharing ?," Working Papers hal-04956937, HAL.
  27. Maximilian Schaefer, 2025. "When Should we Expect Non-Decreasing Returns from Data in Prediction Tasks?," Papers 2503.03602, arXiv.org.
  28. 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.
  29. 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.
  30. Graef, Inge & Prüfer, Jens, 2021. "Governance of data sharing: A law & economics proposal," Research Policy, Elsevier, vol. 50(9).
  31. Federico Etro, 2021. "Product selection in online marketplaces," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(3), pages 614-637, August.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. Bergemann, Dirk & Ottaviani, Marco, 2021. "Information Markets and Nonmarkets," CEPR Discussion Papers 16459, Centre for Economic Policy Research.
  37. Schaefer, Maximilian & Sapi, Geza, 2023. "Complementarities in learning from data: Insights from general search," Information Economics and Policy, Elsevier, vol. 65(C).
  38. 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.
  39. 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.
  40. Hagiu, Andrei & Wright, Julian, 2025. "Artificial intelligence and competition policy," International Journal of Industrial Organization, Elsevier, vol. 103(PA).
  41. 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).
  42. 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.
  43. 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.
  44. Gillian K. Hadfield & Andrew Koh, 2025. "An Economy of AI Agents," NBER Chapters, in: The Economics of Transformative AI, National Bureau of Economic Research, Inc.
  45. Kwon, Seokbeom & Porter, Alan L., 2025. "Use of exclusive data for corporate research on machine learning and artificial intelligence: Implications for innovation and competition policy," Technology in Society, Elsevier, vol. 81(C).
  46. 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.
  47. 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.
  48. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
  49. Su, Zhi & Zhao, Chen & Li, Ying & Sun, Zhimeng, 2025. "Equity diversification as a catalyst for Artificial Intelligence innovation: Evidence from Chinese state-owned enterprises," China Economic Review, Elsevier, vol. 94(PA).
  50. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
  51. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
  52. Zhao, Yu & Gong, Maoyu & Zhang, Ning, 2025. "The digital effects on structural change: data as a new driver of China’s economic growth," Structural Change and Economic Dynamics, Elsevier, vol. 75(C), pages 801-814.
  53. 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.
  54. 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.
  55. 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.
  56. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  57. Liang Chen, 2026. "Ecosystem Competition and Cross-Market Subsidization: A Dynamic Theory of Platform Pricing," Papers 2601.15303, arXiv.org.
  58. 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.
  59. 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.
  60. 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).
  61. Abrardi, Laura & Cambini, Carlo & Pino, Flavio, 2025. "Data brokers competition, synergic datasets, and endogenous information value," International Journal of Industrial Organization, Elsevier, vol. 103(PA).
  62. Tobias J. Klein & Madina Kurmangaliyeva & Jens Prüfer & Patricia Prüfer, 2025. "How Important Are User-Generated Data for Search Result Quality?," Journal of Law and Economics, University of Chicago Press, vol. 68(3), pages 499-518.
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