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The Impact of Schedule Consistency on Shift Worker Productivity: An Empirical Investigation

Author

Listed:
  • Guanyi Lu

    (College of Business, Florida State University, Tallahassee, Florida 32306)

  • Rex Yuxing Du

    (Marketing Department, McCombs School of Business, University of Texas at Austin, Austin, Texas 78705)

  • Xiaosong (David) Peng

    (College of Business, Lehigh University, Bethlehem, Pennsylvania 18015)

Abstract

Problem definition : Lawmakers have begun to introduce “fair schedule” legislations that require employers to provide shift workers with more predictable and consistent work schedules. Business owners are concerned that the resultant loss of scheduling flexibility could reduce overall operational efficiency. We argue this is not necessarily the case. Academic/practical relevance: Although recent studies suggest that increasing schedule predictability by reducing “just-in-time” scheduling can increase productivity, few have examined the effects of schedule consistency on worker productivity. Our study fills this void by investigating the impact of schedule consistency on cashier productivity in grocery retailing. Methodology : We estimate econometric models using transaction level scanner data including more than 1.2 million shopping baskets processed by 126 cashiers working for a local grocer. Work schedule consistency is operationalized via two metrics: (1) hour-of-the-day consistency measuring whether a cashier is consistently scheduled to work in the same hours of the day, and (2) day-of-the-week consistency measuring whether a cashier is consistently scheduled to work on the same days of the week. Results: We find that, on average, hour-of-the-day consistency and day-of-the-week consistency increase cashier productivity by 0.95% and 1.63%, respectively. These effects are much stronger for inexperienced cashiers (e.g., an average productivity boost of 3.39% and 7.93%, respectively, for the new hires). Managerial implications : Our findings suggest that (a) business owners can increase shift workers’ productivity by providing them with more consistent work schedules, and (b) the productivity of less-experienced shift workers, especially new hires, is more vulnerable to inconsistent work schedules, highlighting the potential for operational efficiency gains from greater schedule consistency, especially for businesses employing a high portion of inexperienced shift workers.

Suggested Citation

  • Guanyi Lu & Rex Yuxing Du & Xiaosong (David) Peng, 2022. "The Impact of Schedule Consistency on Shift Worker Productivity: An Empirical Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 24(5), pages 2780-2796, September.
  • Handle: RePEc:inm:ormsom:v:24:y:2022:i:5:p:2780-2796
    DOI: 10.1287/msom.2022.1132
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    References listed on IDEAS

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    1. Tom Fangyun Tan & Serguei Netessine, 2014. "When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity," Management Science, INFORMS, vol. 60(6), pages 1574-1593, June.
    2. Tom Fangyun Tan & Serguei Netessine, 2019. "When You Work with a Superman, Will You Also Fly? An Empirical Study of the Impact of Coworkers on Performance," Management Science, INFORMS, vol. 65(8), pages 3495-3517, August.
    3. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    4. Olga Perdikaki & Saravanan Kesavan & Jayashankar M. Swaminathan, 2012. "Effect of Traffic on Sales and Conversion Rates of Retail Stores," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 145-162, January.
    5. Kenneth L. Schultz & David C. Juran & John W. Boudreau & John O. McClain & L. Joseph Thomas, 1998. "Modeling and Worker Motivation in JIT Production Systems," Management Science, INFORMS, vol. 44(12-Part-1), pages 1595-1607, December.
    6. Howard Hao-Chun Chuang & Rogelio Oliva & Olga Perdikaki, 2016. "Traffic-Based Labor Planning in Retail Stores," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 96-113, January.
    7. Endong Zhu & Teodor Gabriel Crainic & Michel Gendreau, 2014. "Scheduled Service Network Design for Freight Rail Transportation," Operations Research, INFORMS, vol. 62(2), pages 383-400, April.
    8. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    9. Marshall L. Fisher & Christopher D. Ittner, 1999. "The Impact of Product Variety on Automobile Assembly Operations: Empirical Evidence and Simulation Analysis," Management Science, INFORMS, vol. 45(6), pages 771-786, June.
    10. Sriram Narayanan & Sridhar Balasubramanian & Jayashankar M. Swaminathan, 2009. "A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment," Management Science, INFORMS, vol. 55(11), pages 1861-1876, November.
    11. Oded Berman & Richard C. Larson & Edieal Pinker, 1997. "Scheduling Workforce and Workflow in a High Volume Factory," Management Science, INFORMS, vol. 43(2), pages 158-172, February.
    12. Marshall Fisher & Marcelo Olivares & Bradley R. Staats, 2020. "Why Empirical Research Is Good for Operations Management, and What Is Good Empirical Operations Management?," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 170-178, January.
    13. Defraeye, Mieke & Van Nieuwenhuyse, Inneke, 2016. "Staffing and scheduling under nonstationary demand for service: A literature review," Omega, Elsevier, vol. 58(C), pages 4-25.
    14. John Boudreau & Wallace Hopp & John O. McClain & L. Joseph Thomas, 2003. "On the Interface Between Operations and Human Resources Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 179-202, September.
    15. Marcelo Olivares & Gabriel Y. Weintraub & Rafael Epstein & Daniel Yung, 2012. "Combinatorial Auctions for Procurement: An Empirical Study of the Chilean School Meals Auction," Management Science, INFORMS, vol. 58(8), pages 1458-1481, August.
    16. Diwas S. KC & Bradley R. Staats & Maryam Kouchaki & Francesca Gino, 2020. "Task Selection and Workload: A Focus on Completing Easy Tasks Hurts Performance," Management Science, INFORMS, vol. 66(10), pages 4397-4416, October.
    17. Van-Anh Truong, 2015. "Optimal Advance Scheduling," Management Science, INFORMS, vol. 61(7), pages 1584-1597, July.
    18. Robert J. Batt & Christian Terwiesch, 2015. "Waiting Patiently: An Empirical Study of Queue Abandonment in an Emergency Department," Management Science, INFORMS, vol. 61(1), pages 39-59, January.
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    Cited by:

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    3. Charles J. Corbett, 2024. "OM Forum—The Operations of Well-Being: An Operational Take on Happiness, Equity, and Sustainability," Manufacturing & Service Operations Management, INFORMS, vol. 26(2), pages 409-430, March.

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