IDEAS home Printed from https://ideas.repec.org/r/bla/stratm/v41y2020i8p1381-1411.html

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Standaert, Thomas & Andries, Petra, 2026. "Overcoming difficulties in knowledge transfer: Harnessing the power of AI to drive process innovation," Technovation, Elsevier, vol. 149(C).
  2. 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.
  3. 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.
  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. Christian Stadler & Constance E. Helfat & Gianmario Verona, 2022. "Transferring Knowledge by Transferring Individuals: Innovative Technology Use and Organizational Performance in Multiunit Firms," Organization Science, INFORMS, vol. 33(1), pages 253-274, January.
  6. Marie-Pascale Grimon & Christopher Mills, 2025. "Better Together? A Field Experiment on Human-Algorithm Interaction in Child Protection," Papers 2502.08501, arXiv.org, revised Feb 2026.
  7. 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.
  8. 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.
  9. Prasanna B. Tambe, 2026. "Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy," Management Science, INFORMS, vol. 72(1), pages 515-537, January.
  10. Zaitsava, Maryia & Marku, Elona & Di Guardo, Maria Chiara, 2022. "Is data-driven decision-making driven only by data? When cognition meets data," European Management Journal, Elsevier, vol. 40(5), pages 656-670.
  11. Scott S. Wiltermuth & Timothy Gubler & Lamar Pierce, 2023. "Anchoring on Historical Round Number Reference Points: Evidence from Durable Goods Resale Prices," Organization Science, INFORMS, vol. 34(5), pages 1839-1863, September.
  12. 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.
  13. A‐Sung Hong, 2024. "Beyond the finish line: How losing in patent race drives post‐race innovation," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 968-993, May.
  14. Gambardella, Alfonso, 2023. "Private and social functions of patents: Innovation, markets, and new firms," Research Policy, Elsevier, vol. 52(7).
  15. 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).
  16. Tian Lu & Yingjie Zhang, 2025. "1 + 1 > 2? Information, Humans, and Machines," Information Systems Research, INFORMS, vol. 36(1), pages 394-418, March.
  17. Xiaoxue Zhang & Dingyao Yu & Jiasi Yang, 2025. "Discovering the Dark Side of AI and Algorithmic HRM: Evidence from Negative Experiences of Employees on Online Delivery Platforms," SAGE Open, , vol. 15(4), pages 21582440251, December.
  18. Bahoo-Torodi, Aliasghar & Fontana, Roberto & Malerba, Franco, 2026. "Pre-entry experience and the heterogeneity in startup performance: Evidence from the nascent artificial intelligence industry," Research Policy, Elsevier, vol. 55(1).
  19. Verluise, Cyril & Cristelli, Gabriele & Higham, Kyle & de Rassenfosse, Gaetan, 2020. "The Missing 15 Percent of Patent Citations," SocArXiv x78ys, Center for Open Science.
  20. 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.
  21. Christoph Riedl & Eric Bogert, 2024. "Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback," Papers 2409.18660, arXiv.org, revised Apr 2026.
  22. 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.
  23. Ben Greiner & Philipp Grünwald & Thomas Lindner & Georg Lintner & Martin Wiernsperger, 2026. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Management Science, INFORMS, vol. 72(1), pages 302-322, January.
  24. Zhe Shen & Wei Jiang & Zhiqiang (Eric) Zheng, 2025. "Irrationality-Aware Human Machine Collaboration: Mitigating Alterfactual Irrationality in Copy Trading," Information Systems Research, INFORMS, vol. 36(4), pages 2213-2234, December.
  25. Long Xu & Yunsheng Zhou & Liang Chen, 2024. "Digital Transformation and Breakthrough Innovation in Chinese Manufacturing Firms: Based on Ability-Motivation-Opportunity (AMO) Framework of Human Capital," SAGE Open, , vol. 14(3), pages 21582440241, July.
  26. Piyush Gulati & Arianna Marchetti & Phanish Puranam & Victoria Sevcenko, 2025. "Generative AI Adoption and Higher Order Skills," Papers 2503.09212, arXiv.org, revised Jun 2025.
  27. 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).
  28. 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.
  29. Meisenbacher, Stephen & Nestorov, Svetlozar & Norlander, Peter, 2025. "Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data," MPRA Paper 126336, University Library of Munich, Germany.
  30. Yuan, Haixia & Lü, Kevin & Fang, Wenting, 2025. "Machines vs. humans: The evolving role of artificial intelligence in livestreaming e-commerce," Journal of Business Research, Elsevier, vol. 188(C).
  31. 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.
  32. 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.
  33. 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.
  34. Shirish Sundaresan & Isin Guler, 2025. "Algorithmic Recommendation Tools and Experiential Learning in Clinical Care," Organization Science, INFORMS, vol. 36(5), pages 1786-1802, September.
  35. Ryan Allen & Aticus Peterson, 2026. "Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability," Papers 2602.20440, arXiv.org, revised Feb 2026.
  36. Bowen Lou & Tian Lu & T. S. Raghu & Yingjie Zhang, 2025. "Unraveling Human-AI Teaming: A Review and Outlook," Papers 2504.05755, arXiv.org, revised Apr 2025.
  37. 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).
  38. Shunyuan Zhang & Das Narayandas, 2026. "Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 72(1), pages 73-95, January.
  39. 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.
  40. 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).
  41. Fabian Gaessler & Henning Piezunka, 2023. "Training with AI: Evidence from chess computers," Strategic Management Journal, Wiley Blackwell, vol. 44(11), pages 2724-2750, November.
  42. Kekez, Ivan & Lauwaert, Lode & Begičević Ređep, Nina, 2025. "Is artificial intelligence (AI) research biased and conceptually vague? A systematic review of research on bias and discrimination in the context of using AI in human resource management," Technology in Society, Elsevier, vol. 81(C).
  43. 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).
  44. Sreedhar Madhavaram & Radha Appan, 2024. "AI for marketing: Enabler? Engager? Ersatz?," AMS Review, Springer;Academy of Marketing Science, vol. 14(3), pages 258-277, December.
  45. Sebastian Krakowski & Darek Haftor & Johannes Luger & Natallia Pashkevich & Sebastian Raisch, 2026. "Human-Centered Artificial Intelligence: A Field Experiment," Management Science, INFORMS, vol. 72(1), pages 57-72, January.
  46. Ritala, Paavo & Aaltonen, Päivi & Ruokonen, Mika & Nemeh, Andre, 2024. "Developing industrial AI capabilities: An organisational learning perspective," Technovation, Elsevier, vol. 138(C).
  47. Allen, Ryan T. & Choudhury, Prithwiraj, 2021. "Algorithm-augmented work and domain experience: the countervailing forces of ability and aversion," LSE Research Online Documents on Economics 128784, London School of Economics and Political Science, LSE Library.
  48. 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.
  49. 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).
  50. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
  51. Hongchang Wang & Yingjie Zhang & Tian Lu, 2026. "The Power of Disagreement: A Field Experiment to Investigate Human–Algorithm Collaboration in Loan Evaluations," Management Science, INFORMS, vol. 72(1), pages 96-118, January.
  52. 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.
  53. 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.
  54. Christian Peukert & Ananya Sen & Jörg Claussen, 2024. "The Editor and the Algorithm: Recommendation Technology in Online News," Management Science, INFORMS, vol. 70(9), pages 5816-5831, September.
  55. 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.
  56. Zhao, Jianyu & Xu, Yingbo & Zou, Bo & Xi, Xi & Liu, Wei, 2025. "From invisible to visible: How artificial intelligence facilitates generativity in product architecture," International Journal of Production Economics, Elsevier, vol. 290(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.