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

Citations

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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. 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.
  3. 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.
  4. 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.
  5. Graef, Inge & Prüfer, Jens, 2021. "Governance of data sharing: A law & economics proposal," Research Policy, Elsevier, vol. 50(9).
  6. 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).
  7. 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.
  8. 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).
  9. Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
  10. 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.
  11. Simon Martin & Wolfgang Benedikt Schmal, 2021. "Collusive Compensation Schemes Aided by Algorithms," CESifo Working Paper Series 9481, CESifo.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. Falco J. Bargagli-Stoffi & Jan Niederreiter & Massimo Riccaboni, 2020. "Supervised learning for the prediction of firm dynamics," Papers 2009.06413, arXiv.org.
  21. 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.
  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. 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.
  24. 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).
  25. 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.
  26. Ehsan Valavi & Joel Hestness & Newsha Ardalani & Marco Iansiti, 2022. "Time and the Value of Data," Papers 2203.09118, arXiv.org.
  27. 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.
  28. 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).
  29. 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.
  30. 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.
  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. Schaefer, Maximilian & Sapi, Geza, 2023. "Complementarities in learning from data: Insights from general search," Information Economics and Policy, Elsevier, vol. 65(C).
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
  39. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
  40. Calvano, Emilio & Polo, Michele, 2021. "Market power, competition and innovation in digital markets: A survey," Information Economics and Policy, Elsevier, vol. 54(C).
  41. Fossen, Frank M. & McLemore, Trevor & Sorgner, Alina, 2024. "Artificial Intelligence and Entrepreneurship," IZA Discussion Papers 17055, Institute of Labor Economics (IZA).
  42. 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.
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