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Machine learning and human capital complementarities: Experimental evidence on bias mitigation

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Cited by:

  1. Reem Mahmoud Ahmad Mashat, 2021. "The Effect of the Use and Knowledge of AI on the Advanced Entrepreneurship in Saudis Small Business and Startups," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(12), pages 1-35, July.
  2. 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.
  3. Marc Eulerich & Aida Sanatizadeh & Hamid Vakilzadeh & David A. Wood, 2024. "Is it all hype? ChatGPT’s performance and disruptive potential in the accounting and auditing industries," Review of Accounting Studies, Springer, vol. 29(3), pages 2318-2349, September.
  4. Sebastian Krakowski & Johannes Luger & Sebastian Raisch, 2023. "Artificial intelligence and the changing sources of competitive advantage," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1425-1452, June.
  5. Charles Hoffreumon & Chris Forman & Nicolas van Zeebroeck, 2024. "Make or buy your artificial intelligence? Complementarities in technology sourcing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 452-479, March.
  6. Gambardella, Alfonso, 2023. "Private and social functions of patents: Innovation, markets, and new firms," Research Policy, Elsevier, vol. 52(7).
  7. Zhu, Minghao & Liang, Chen & Yeung, Andy C.L. & Zhou, Honggeng, 2024. "The impact of intelligent manufacturing on labor productivity: An empirical analysis of Chinese listed manufacturing companies," International Journal of Production Economics, Elsevier, vol. 267(C).
  8. Verluise, Cyril & Cristelli, Gabriele & Higham, Kyle & de Rassenfosse, Gaetan, 2020. "The Missing 15 Percent of Patent Citations," SocArXiv x78ys, Center for Open Science.
  9. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
  10. Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
  11. Jaeho Choi & Anoop Menon & Haris Tabakovic, 2021. "Using machine learning to revisit the diversification–performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1632-1661, September.
  12. Li, Yunjian & Song, Yixiao & Sun, Yanming & Zeng, Mingzhuo, 2024. "When do employees learn from artificial intelligence? The moderating effects of perceived enjoyment and task-related complexity," Technology in Society, Elsevier, vol. 77(C).
  13. Ari Hyytinen & Petri Rouvinen & Mika Pajarinen & Joosua Virtanen, 2023. "Ex Ante Predictability of Rapid Growth: A Design Science Approach," Entrepreneurship Theory and Practice, , vol. 47(6), pages 2465-2493, November.
  14. Edward Felten & Manav Raj & Robert Seamans, 2021. "Occupational, industry, and geographic exposure to artificial intelligence: A novel dataset and its potential uses," Strategic Management Journal, Wiley Blackwell, vol. 42(12), pages 2195-2217, December.
  15. Mahdi Ahmadi & Neda Khosh Kheslat & Adebola Akintomide, 2024. "Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements," Papers 2412.07042, arXiv.org.
  16. Constance E. Helfat & Aseem Kaul & David J. Ketchen & Jay B. Barney & Olivier Chatain & Harbir Singh, 2023. "Renewing the resource‐based view: New contexts, new concepts, and new methods," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1357-1390, June.
  17. Ahi, Alan A. & Sinkovics, Noemi & Shildibekov, Yelnur & Sinkovics, Rudolf R. & Mehandjiev, Nikolay, 2022. "Advanced technologies and international business: A multidisciplinary analysis of the literature," International Business Review, Elsevier, vol. 31(4).
  18. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  19. Zhang, Haili & Song, Michael & Wang, Yufan, 2023. "Does AI-infused operations capability enhance or impede the relationship between information technology capability and firm performance?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  20. Michael Allan Ribers & Hannes Ullrich, 2023. "Machine learning and physician prescribing: a path to reduced antibiotic use," Berlin School of Economics Discussion Papers 0019, Berlin School of Economics.
  21. Simón, Cristina & Revilla, Elena & Jesús Sáenz, Maria, 2024. "Integrating AI in organizations for value creation through Human-AI teaming: A dynamic-capabilities approach," Journal of Business Research, Elsevier, vol. 182(C).
  22. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
  23. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
  24. Greiner, Ben & Grünwald, Philipp & Lindner, Thomas & Lintner, Georg & Wiernsperger, Martin, 2024. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Department for Strategy and Innovation Working Paper Series 01/2024, WU Vienna University of Economics and Business.
  25. Milan Miric & Nan Jia & Kenneth G. Huang, 2023. "Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 491-519, February.
  26. Prithwiraj Choudhury & Ryan T. Allen & Michael G. Endres, 2021. "Machine learning for pattern discovery in management research," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 30-57, January.
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