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Doing Well by Doing Good: Improving Retail Store Performance with Responsible Scheduling Practices at the Gap, Inc

Author

Listed:
  • Saravanan Kesavan

    (Kenan-Flagler Business School, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599)

  • Susan J. Lambert

    (Crown Family School of Social Work, Policy, and Practice, University of Chicago, Chicago, Illinois 60637)

  • Joan C. Williams

    (Hastings College of the Law, University of California, San Francisco, California 94102)

  • Pradeep K. Pendem

    (Charles H. Lundquist College of Business, University of Oregon, Eugene, Oregon 97403)

Abstract

We estimate the causal effects of responsible scheduling practices on store financial performance at the U.S. retailer Gap, Inc. The randomized field experiment evaluated a multicomponent intervention designed to improve dimensions of work schedules—consistency, predictability, adequacy, and employee control—shown to foster employee well-being. The experiment was conducted in 28 stores in the San Francisco and Chicago metropolitan areas for nine months between November 2015 and August 2016. Intent-to-treat (ITT) analyses indicate that implementing responsible scheduling practices increased store productivity by 5.1%, a result of increasing sales (by 3.3%) and decreasing labor (by 1.8%). Drawing on qualitative interviews with managers and quantitative analyses of employee shift-level data, we offer evidence that the intervention improved financial performance through improved store execution. Our experiment provides evidence that responsible scheduling practices that take worker well-being into account can enhance store productivity by motivating additional employee effort and reducing barriers to employees adhering to the scheduled labor plan.

Suggested Citation

  • Saravanan Kesavan & Susan J. Lambert & Joan C. Williams & Pradeep K. Pendem, 2022. "Doing Well by Doing Good: Improving Retail Store Performance with Responsible Scheduling Practices at the Gap, Inc," Management Science, INFORMS, vol. 68(11), pages 7818-7836, November.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:11:p:7818-7836
    DOI: 10.1287/mnsc.2021.4291
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    References listed on IDEAS

    as
    1. Elaine McCrate, 2012. "Flexibility for Whom? Control over Work Schedule Variability in the US," Feminist Economics, Taylor & Francis Journals, vol. 18(1), pages 39-72, January.
    2. Nicholas Bloom & Benn Eifert & Aprajit Mahajan & David McKenzie & John Roberts, 2013. "Does Management Matter? Evidence from India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 1-51.
    3. 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.
    4. Fernando F. Suarez & Michael A. Cusumano & Charles H. Fine, 1996. "An Empirical Study of Manufacturing Flexibility in Printed Circuit Board Assembly," Operations Research, INFORMS, vol. 44(1), pages 223-240, February.
    5. Nicholas Bloom & James Liang & John Roberts & Zhichun Jenny Ying, 2015. "Does Working from Home Work? Evidence from a Chinese Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(1), pages 165-218.
    6. M. Segal, 1974. "The Operator-Scheduling Problem: A Network-Flow Approach," Operations Research, INFORMS, vol. 22(4), pages 808-823, August.
    7. Staats, Bradley R. & Milkman, Katherine L. & Fox, Craig R., 2012. "The team scaling fallacy: Underestimating the declining efficiency of larger teams," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(2), pages 132-142.
    8. Lapré, Michael A. & Nembhard, Ingrid M., 2011. "Inside the Organizational Learning Curve: Understanding the Organizational Learning Process," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 4(1), pages 1-103, May.
    9. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    10. Maria R. Ibanez & Michael W. Toffel, 2020. "How Scheduling Can Bias Quality Assessment: Evidence from Food-Safety Inspections," Management Science, INFORMS, vol. 66(6), pages 2396-2416, June.
    11. Vidya Mani & Saravanan Kesavan & Jayashankar M. Swaminathan, 2015. "Estimating the Impact of Understaffing on Sales and Profitability in Retail Stores," Production and Operations Management, Production and Operations Management Society, vol. 24(2), pages 201-218, February.
    12. John J. Bartholdi, 1981. "A Guaranteed-Accuracy Round-off Algorithm for Cyclic Scheduling and Set Covering," Operations Research, INFORMS, vol. 29(3), pages 501-510, June.
    13. 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.
    14. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    15. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    16. Amy C. Edmondson, 2002. "The Local and Variegated Nature of Learning in Organizations: A Group-Level Perspective," Organization Science, INFORMS, vol. 13(2), pages 128-146, April.
    17. David C. Chan, 2018. "The Efficiency of Slacking off: Evidence From the Emergency Department," Econometrica, Econometric Society, vol. 86(3), pages 997-1030, May.
    18. Charles C. Holt & Franco Modigliani & Herbert A. Simon, 1955. "A Linear Decision Rule for Production and Employment Scheduling," Management Science, INFORMS, vol. 2(1), pages 1-30, October.
    19. Joel Goh & Jeffrey Pfeffer & Stefanos A. Zenios, 2016. "The Relationship Between Workplace Stressors and Mortality and Health Costs in the United States," Management Science, INFORMS, vol. 62(2), pages 608-628, February.
    20. Ali Hortaçsu & Chad Syverson, 2015. "The Ongoing Evolution of US Retail: A Format Tug-of-War," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 89-112, Fall.
    21. Hau L. Lee & Christopher S. Tang, 2018. "Socially and Environmentally Responsible Value Chain Innovations: New Operations Management Research Opportunities," Management Science, INFORMS, vol. 64(3), pages 983-996, March.
    22. 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.
    23. Robert S. Huckman & Bradley R. Staats & David M. Upton, 2009. "Team Familiarity, Role Experience, and Performance: Evidence from Indian Software Services," Management Science, INFORMS, vol. 55(1), pages 85-100, January.
    24. 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.
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