IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v68y2022i5p3755-3767.html
   My bibliography  Save this article

The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers

Author

Listed:
  • Ken Moon

    (The Wharton School, Philadelphia, Pennsylvania 19104)

  • Prashant Loyalka

    (Stanford Graduate School of Education, Stanford, California 94305)

  • Patrick Bergemann

    (The Paul Merage School of Business, University of California Irvine, Irvine, California 92697)

  • Joshua Cohen

    (Apple University, Cupertino, California 95014)

Abstract

Product reliability is a key concern for manufacturers. We examine worker turnover as a significant but underrecognized determinant of product reliability. Our study collects and integrates (1) data reporting factory worker staffing and turnover from within a major consumer electronics producer’s supply chain and (2) traceable data reporting the component quality and field failures—that is, replacements and repairs—of nearly 50 million consumer mobile devices over four years of customer usage. Devices are individually traced back to the factory conditions and staffing, down to the assembly line–week, under which they were produced. Despite the manufacturer’s extensive quality control efforts, including stringent testing, each percentage point increase in the weekly rate of workers quitting from an assembly line (its weekly worker turnover) is found to increase field failures by 0.74%–0.79%. In the high-turnover weeks following paydays, eventual field failures are strikingly 10.2% more common than for devices produced during the lowest turnover weeks immediately before paydays. In other weeks, the assembly lines experiencing higher turnover produce an estimated 2%–3% more field failures on average. The associated costs amount to hundreds of millions of U.S. dollars. We demonstrate that staffing and retaining a stable factory workforce critically underlies product reliability and showcase the value of traceability coupled with connected workplace and product data in supply chain operations.

Suggested Citation

  • Ken Moon & Prashant Loyalka & Patrick Bergemann & Joshua Cohen, 2022. "The Hidden Cost of Worker Turnover: Attributing Product Reliability to the Turnover of Factory Workers," Management Science, INFORMS, vol. 68(5), pages 3755-3767, May.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:5:p:3755-3767
    DOI: 10.1287/mnsc.2022.4311
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2022.4311
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2022.4311?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Seyed Morteza Emadi & Bradley R. Staats, 2020. "A Structural Estimation Approach to Study Agent Attrition," Management Science, INFORMS, vol. 66(9), pages 4071-4095, September.
    2. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    3. Zeynep Ton & Robert S. Huckman, 2008. "Managing the Impact of Employee Turnover on Performance: The Role of Process Conformance," Organization Science, INFORMS, vol. 19(1), pages 56-68, February.
    4. Raff, Daniel M G & Summers, Lawrence H, 1987. "Did Henry Ford Pay Efficiency Wages?," Journal of Labor Economics, University of Chicago Press, vol. 5(4), pages 57-86, October.
    5. Rachna Shah & George P. Ball & Serguei Netessine, 2017. "Plant Operations and Product Recalls in the Automotive Industry: An Empirical Investigation," Management Science, INFORMS, vol. 63(8), pages 2439-2459, August.
    6. Vinayak Deshpande & Morris A. Cohen & Karen Donohue, 2003. "An Empirical Study of Service Differentiation for Weapon System Service Parts," Operations Research, INFORMS, vol. 51(4), pages 518-530, August.
    7. George Ball & Enno Siemsen & Rachna Shah, 2017. "Do Plant Inspections Predict Future Quality? The Role of Investigator Experience," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 534-550, October.
    8. Peter Cappelli & Keith Chauvin, 1991. "An Interplant Test of the Efficiency Wage Hypothesis," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(3), pages 769-787.
    9. Kevin B. Hendricks & Vinod R. Singhal, 1997. "Does Implementing an Effective TQM Program Actually Improve Operating Performance? Empirical Evidence from Firms That Have Won Quality Awards," Management Science, INFORMS, vol. 43(9), pages 1258-1274, September.
    10. Robert J. Batt & Diwas S. KC & Bradley R. Staats & Brian W. Patterson, 2019. "The Effects of Discrete Work Shifts on a Nonterminating Service System," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1528-1544, June.
    11. Kamalini Ramdas & Taylor Randall, 2008. "Does Component Sharing Help or Hurt Reliability? An Empirical Study in the Automotive Industry," Management Science, INFORMS, vol. 54(5), pages 922-938, May.
    12. Charles J. Corbett & María J. Montes-Sancho & David A. Kirsch, 2005. "The Financial Impact of ISO 9000 Certification in the United States: An Empirical Analysis," Management Science, INFORMS, vol. 51(7), pages 1046-1059, July.
    13. Retsef Levi & Somya Singhvi & Yanchong Zheng, 2020. "Economically Motivated Adulteration in Farming Supply Chains," Management Science, INFORMS, vol. 66(1), pages 209-226, January.
    14. Diwas S. Kc & Christian Terwiesch, 2009. "Impact of Workload on Service Time and Patient Safety: An Econometric Analysis of Hospital Operations," Management Science, INFORMS, vol. 55(9), pages 1486-1498, September.
    15. Linda Argote & Sara L. Beckman & Dennis Epple, 1990. "The Persistence and Transfer of Learning in Industrial Settings," Management Science, INFORMS, vol. 36(2), pages 140-154, February.
    16. Rory Eckardt & Bruce C. Skaggs & Mark Youndt, 2014. "Turnover and Knowledge Loss: An Examination of the Differential Impact of Production Manager and Worker Turnover in Service and Manufacturing Firms," Journal of Management Studies, Wiley Blackwell, vol. 51(7), pages 1025-1057, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Andrew Balthrop & Hyunseok Jung, 2024. "Shared Hardships Strengthen Bonds: Negative Shocks, Embeddedness and Employee Retention," Papers 2404.00183, arXiv.org.
    2. Ken Moon & Patrick Bergemann & Daniel Brown & Andrew Chen & James Chu & Ellen A. Eisen & Gregory M. Fischer & Prashant Loyalka & Sungmin Rho & Joshua Cohen, 2023. "Manufacturing Productivity with Worker Turnover," Management Science, INFORMS, vol. 69(4), pages 1995-2015, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ken Moon & Patrick Bergemann & Daniel Brown & Andrew Chen & James Chu & Ellen A. Eisen & Gregory M. Fischer & Prashant Loyalka & Sungmin Rho & Joshua Cohen, 2023. "Manufacturing Productivity with Worker Turnover," Management Science, INFORMS, vol. 69(4), pages 1995-2015, April.
    2. Zeynep Ton, 2008. "The Effect of Labor on Profitability: The Role of Quality," Harvard Business School Working Papers 09-040, Harvard Business School, revised Jul 2009.
    3. Yuqian Xu & Tom Fangyun Tan & Serguei Netessine, 2022. "The Impact of Workload on Operational Risk: Evidence from a Commercial Bank," Management Science, INFORMS, vol. 68(4), pages 2668-2693, April.
    4. Mark D. Brenner, 2004. "The Economic Impact of Living Wage Ordinances," Working Papers wp80, Political Economy Research Institute, University of Massachusetts at Amherst.
    5. Joseph A. Ritter & Lowell J. Taylor, 1997. "Economic models of employee motivation," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 3-21.
    6. Gopesh Anand & John Gray & Enno Siemsen, 2012. "Decay, Shock, and Renewal: Operational Routines and Process Entropy in the Pharmaceutical Industry," Organization Science, INFORMS, vol. 23(6), pages 1700-1716, December.
    7. Blind, Knut & Mangelsdorf, Axel & Pohlisch, Jakob, 2018. "The effects of cooperation in accreditation on international trade: Empirical evidence on ISO 9000 certifications," International Journal of Production Economics, Elsevier, vol. 198(C), pages 50-59.
    8. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
    9. Bai, Peiwen & Cheng, Wenli, 2020. "Relative earnings and firm performance: Evidence from publicly-listed firms in China, 2005–2012," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 279-290.
    10. Ana Kundid Novokmet & Andrijana Rogošiæ, 2017. "Long-Term Financial Effects of Quality Management System Maturity Based on ISO 9001 Principles," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(S11), pages 1003-1003.
    11. David I. Levine & Michael W. Toffel, 2010. "Quality Management and Job Quality: How the ISO 9001 Standard for Quality Management Systems Affects Employees and Employers," Management Science, INFORMS, vol. 56(6), pages 978-996, June.
    12. Bichescu, Bogdan & Raturi, Amitabh, 2015. "The antecedents and consequences of plant closing announcements," International Journal of Production Economics, Elsevier, vol. 168(C), pages 197-210.
    13. Carolyn D. Egelman & Dennis Epple & Linda Argote & Erica R.H. Fuchs, 2013. "Learning by Doing in a Multi-Product Manufacturing Environment: Product Variety, Customizations, and Overlapping Product Generations," NBER Working Papers 19674, National Bureau of Economic Research, Inc.
    14. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    15. Meghan Millea, 2002. "Disentangling the wage-productivity relationship: Evidence from select OECD member countries," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 8(4), pages 314-323, November.
    16. Hailong Cui & Sampath Rajagopalan & Amy R. Ward, 2021. "Impact of Task-Level Worker Specialization, Workload, and Product Personalization on Consumer Returns," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 346-366, March.
    17. Vidya Mani & Suresh Muthulingam, 2019. "Does Learning from Inspections Affect Environmental Performance? Evidence from Unconventional Well Development in Pennsylvania," Service Science, INFORMS, vol. 21(1), pages 177-197, January.
    18. Bradley R. Staats & Diwas S. KC & Francesca Gino, 2018. "Maintaining Beliefs in the Face of Negative News: The Moderating Role of Experience," Management Science, INFORMS, vol. 64(2), pages 804-824, February.
    19. Weiping Liu & Yanling Lian & Cuili Qian, 2022. "Buffering and bridging: How firms manage the burden of celebrity," Asia Pacific Journal of Management, Springer, vol. 39(2), pages 483-513, June.
    20. Andy C. L. Yeung & Chris K. Y. Lo & T. C. E. Cheng, 2011. "Behind the Iron Cage: An Institutional Perspective on ISO 9000 Adoption and CEO Compensation," Organization Science, INFORMS, vol. 22(6), pages 1600-1612, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:68:y:2022:i:5:p:3755-3767. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.