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The Robot Revolution: Managerial and Employment Consequences for Firms

Author

Listed:
  • Jay Dixon

    (Statistics Canada, Ottawa, Ontario K1A 0T6, Canada)

  • Bryan Hong

    (Department of Entrepreneurship and Management, Henry W. Bloch School of Management, University of Missouri–Kansas City, Kansas City, Missouri 64110; Department of Management and Organizations, Leonard N. Stern School of Business, New York University, New York, New York 10012)

  • Lynn Wu

    (Operations, Information and Decisions, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract

As a new general-purpose technology, robots have the potential to radically transform employment and organizations. In contrast to prior studies that predict dramatic employment declines, we find that investments in robotics are associated with increases in total firm employment but decreases in the total number of managers. Similarly, we find that robots are associated with an increase in the span of control for supervisors remaining within the organization. We also provide evidence that robot adoption is not motivated by the desire to reduce labor costs but is instead related to improving product and service quality. Our findings are consistent with the notion that robots reduce variance in production processes, diminishing the need for managers to monitor worker activities to ensure production quality. As additional evidence, we also find that robot investments predict improved performance measurement and increased adoption of incentive pay based on individual employee performance. With respect to changes in skill composition within the organization, robots predict decreases in employment for middle-skilled workers but increases in employment for low- and high-skilled workers. We also find that robots predict not only changes in employment but also corresponding adaptations in organizational structure. Robot investments are associated with both centralization and decentralization of decision-making authority depending on the task, but decision rights in either case are reassigned away from the managerial level of the hierarchy. Overall, our results suggest that robots have distinct and profound effects on employment and organizations that require fundamental changes in firm practices and organizational design.

Suggested Citation

  • Jay Dixon & Bryan Hong & Lynn Wu, 2021. "The Robot Revolution: Managerial and Employment Consequences for Firms," Management Science, INFORMS, vol. 67(9), pages 5586-5605, September.
  • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:9:p:5586-5605
    DOI: 10.1287/mnsc.2020.3812
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    Cited by:

    1. Nikolova, Milena & Cnossen, Femke & Nikolaev. Boris, 2022. "Robots, Meaning, and Self-Determination," GLO Discussion Paper Series 1191, Global Labor Organization (GLO).
    2. Nikolova, Milena & Lepinteur, Anthony & Cnossen, Femke, 2023. "Just Another Cog in the Machine? A Worker-Level View of Robotization and Tasks," IZA Discussion Papers 16610, Institute of Labor Economics (IZA).
    3. Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
    4. Huang, Keqi & Liu, Qiren & Tang, Chengjian, 2023. "Which firms benefit from robot adoption? Evidence from China," Journal of Asian Economics, Elsevier, vol. 86(C).
    5. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-routinization in the fourth industrial revolution: Firm-level evidence," ZEW Discussion Papers 24-005, ZEW - Leibniz Centre for European Economic Research.
    6. Haefner, Naomi & Parida, Vinit & Gassmann, Oliver & Wincent, Joakim, 2023. "Implementing and scaling artificial intelligence: A review, framework, and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    7. Erik Brynjolfsson & Catherine Buffington & Nathan Goldschlag & J. Frank Li & Javier Miranda & Robert Seamans, 2023. "The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments," Working Papers 23-14, Center for Economic Studies, U.S. Census Bureau.
    8. Dario Guarascio & Alessandro Piccirillo & Jelena Reljic, 2024. "Will robot replace workers? Assessing the impact of robots on employment and wages with meta-analysis," LEM Papers Series 2024/03, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Chenhui Ding & Xiaoming Song & Yingchun Xing & Yuxuan Wang, 2023. "Bilateral Effects of the Digital Economy on Manufacturing Employment: Substitution Effect or Creation Effect?," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    10. Yang Shen & Xiuwu Zhang, 2024. "The impact of artificial intelligence on employment: the role of virtual agglomeration," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    11. Yoon, Chungeun, 2023. "Technology adoption and jobs: The effects of self-service kiosks in restaurants on labor outcomes," Technology in Society, Elsevier, vol. 74(C).
    12. Arntz, Melanie & Genz, Sabrina & Gregory, Terry & Lehmer, Florian & Zierahn-Weilage, Ulrich, 2024. "De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence," IZA Discussion Papers 16740, Institute of Labor Economics (IZA).
    13. Marina Chugunova & Anastasia Danilov, 2023. "Use of Digital Technologies for HR Management in Germany: Survey Evidence," Rationality and Competition Discussion Paper Series 485, CRC TRR 190 Rationality and Competition.
    14. Davide Antonioli & Alberto Marzucchi & Francesco Rentocchini & Simone Vannuccini, 2024. "Robot Adoption and Product Innovation," GREDEG Working Papers 2024-01, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    15. Keqi Huang & Julan Du & Jiawu Dai, 2023. "Higher education expansion and robot imports: evidence from China," Economic Change and Restructuring, Springer, vol. 56(6), pages 4339-4369, December.
    16. Yang Shen, 2024. "Future jobs: analyzing the impact of artificial intelligence on employment and its mechanisms," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
    17. Jurkat, Anne & Klump, Rainer & Schneider, Florian, 2023. "Robots and Wages: A Meta-Analysis," EconStor Preprints 274156, ZBW - Leibniz Information Centre for Economics.

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