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

References

• Aiken LS, West SG (1991) Multiple Regression: Testing and Interpreting Interactions (Sage, Newbury Park, CA).Google Scholar
• Albright SC, Winston WL (2014) Business Analytics: Data Analysis and Decision Making (Nelson Education).Google Scholar
• Allon G, Kremer K (2019) Behavioral foundations of queueing systems. Donohue K, Katok E, Leider S, eds. The Handbook of Behavioral Operations (John Wiley and Sons, Hoboken, NJ), 325–366.Google Scholar
• Altman D, Yom-Tov GB, Olivares M, Ashtar S, Rafaeli A (2020) Do customer emotions affect agent speed? An empirical study of emotional load in online customer contact centers. Manufacturing Service Oper. Management 23(4):854–875.Link, Google Scholar
• Ayers JW, Althouse BM, Johnson M, Dredze M, Cohen JE (2014) What’s the healthiest day? Circaseptan (weekly) rhythms in healthy considerations. Amer. J. Preventative Medicine 47(1):73–76.Crossref, Google Scholar
• Batt RJ, Terwiesch C (2015) Waiting patiently: An empirical study of queue abandonment in an emergency department. Management Sci. 61(1):39–59.Link, Google Scholar
• Bellemare MF, Masaki T, Pepinsky TB (2017) Lagged explanatory variables and the estimation of causal effect. J. Politics 79(3):949–963.Crossref, Google Scholar
• Bendoly E, Donohue K, Schultz KL (2006) Behavior in operations management: Assessing recent findings and revisiting old assumptions. J. Oper. Management 24(6):737–752.Crossref, Google Scholar
• Berman O, Larson RC, Pinker E (1997) Scheduling workforce and workflow in a high volume factory. Management Sci. 43(2):158–172.Link, Google Scholar
• Bhandari A, Harchol-Balter M, Scheller-Wolf A (2008) An exact and efficient algorithm for the constrained dynamic operator staffing problem for call centers. Management Sci. 54(2):339–353.Link, Google Scholar
• Boudreau JW, Hopp W, McClain JO, Thomas LJ (2003) On the interface between operations and human resources management. Manufacturing Service Oper. Management 5(3):179–202.Link, Google Scholar
• Cauthen NK (2011) Scheduling Hourly Workers: How Last Minute Just-In-Time Scheduling Practices Are Bad for Workers (Families and Business, Demos, New York).Google Scholar
• Chuang HH, Oliva R, Perdikaki O (2016) Traffic-based labor planning in retail stores. Production Oper. Management 25(1):96–113.Crossref, Google Scholar
• Deeprose D (1994) How to Recognise and Reward Employees (AMACOM, New York).Google Scholar
• Defraeye M, Van Nieuwenhuyse I (2016) Staffing and scheduling under nonstationary demand for service: A literature review. Omega 58:4–25.Crossref, Google Scholar
• Delasay M, Ingolfsson A, Kolfal B, Schultz K (2019) Load effect on service times. Eur. J. Oper. Res. 279(3):673–686.Crossref, Google Scholar
• Dickson A, Golden L, Bruno R (2018) Scheduling stability: The landscape of work schedules and potential gains from fairer workweeks in Illinois and Chicago. UIUC School of Labor and Employment Relations report. Accessed September 28, 2019, https://ler.illinois.edu/wp-content/uploads/2018/04/Scheduling-Stability-final-embedded-text.pdf.Google Scholar
• Economic Policy Institute (2015) Irregular work schedule and its consequences. Accessed November 16, 2020, https://www.epi.org/files/pdf/82524.pdf.Google Scholar
• Fisher ML, Ittner CD (1999) The impact of product variety on automobile assembly operations: Empirical evidence and simulation analysis. Management Sci. 45(6):771–786.Link, Google Scholar
• Fisher ML, Olivares M, Staats BR (2020) Why empirical research is good for operations management, and what is good empirical operations management? Manufacturing Service Oper. Management 22(1):170–178.Link, Google Scholar
• Gans N, Koole G, Mandelbaum A (2003) Telephone call centers: Tutorial, review, and research prospects. Manufacturing Service Oper. Management 5(2):79–141.Link, Google Scholar
• Golden L (2015) Irregular work scheduling and its consequences. Accessed September 28, 2020, http://dx.doi.org/10.2139/ssrn.2597172.Google Scholar
• Golden L, Henly J, Lambert S, Kim J (2013) Work schedule flexibility for workers: A path to employee happiness? J. Soc. Res. Policy 4(2):107–135.Google Scholar
• Grote L, Mayer J, Penzel T, Cassel W, Krzyzanek E, Peter JH, von Wichert P (1994) Nocturnal hypertension and cardiovascular risk: Consequences for diagnosis and treatment. J. Cardiovascular Pharmacology 24(2):S26–S38.Google Scholar
• Gurvich I, Armony M, Mandelbaum A (2008) Service level differentiation in call centers with fully flexible servers. Management Sci. 54(2):279–294.Link, Google Scholar
• Hair JF Jr, Anderson RE, Tatham RL, Black WC (1995) Multivariate Data Analysis, 3rd ed. (Macmillan, New York).Google Scholar
• Henly JR, Lambert SJ (2014) Unpredictable work timing in retail jobs: Implications for employee work-life outcomes. Industry Labor Related Rev. 67(3):986–1016.Crossref, Google Scholar
• Henly JR, Shaefer HL, Waxman E (2006) Nonstandard work schedules: Employer- and employee-driven flexibility in retail jobs. Soc. Service Rev. 80(4):609–634.Crossref, Google Scholar
• Jang SJ, Zippay A, Park R (2012) Family roles as moderators of the relationship between schedule flexibility and stress. J. Marriage Family 74:897–912.Crossref, Google Scholar
• Kamalahmadi M, Yu Q, Zhou Y (2021) Call to duty: Just-in-time scheduling in a restaurant chain. Management Sci. 67(11):6751–6781.Google Scholar
• KC DS, Staats BR, Kouchaki M, Gino F (2020) Task selection and workload: A focus on completing easy tasks hurts performance. Management Sci. 66(10):4397–4416.Google Scholar
• Kesavan S, Lambert S, Williams J, Pendem P (2021) Doing well by doing good: Improving store performance with responsible scheduling practices at the Gap, Inc. Preprint, submitted January 19, https://dx.doi.org/10.2139/ssrn.3731670.Google Scholar
• Kolb DA (1984) Experiential Learning: Experience as the Source of Learning and Development (Prentice-Hall, Inc., Englewood Cliffs, NJ).Google Scholar
• Lambert SJ (2008) Passing the buck: Labor flexibility practices that transfer risk onto hourly workers. Human Relations 61(9):1203–1227.Crossref, Google Scholar
• Lambert SJ, Henly JR, Schoeny M, Jarpe M (2019) Increasing schedule predictability in hourly jobs: Results from a randomized experiment in a U.S. retail firm. Work Occupation 46(2):176–226.Crossref, Google Scholar
• MacEachen E, Polzer J, Clarke J (2008) “You are free to set your own hours”: Governing worker productivity and health through flexibility and resilience. Soc. Sci. Medicine 66(5):1019–1033.Crossref, Google Scholar
• Murphy LR, Cooper CL (2000) Healthy and Productive Work: An International Perspective (Taylor and Francis, London).Crossref, Google Scholar
• Narayanan S, Balasubramanian S, Swaminathan J (2009) A matter of balance: Specialization, task variety, and individual learning in a software maintenance environment. Management Sci. 55(11):1861–1876.Link, Google Scholar
• Olivares M, Weintraub GY, Epstein R, Yung D (2012) Combinatorial auctions for procurement: An empirical study of the Chilean school meals auction. Management Sci. 58(8):1458–1481.Link, Google Scholar
• Olsen KM, Dahl S (2010) Working time: Implications for sickness absence and the work–family balance. Internat. J. Soc. Welfare 19(1):45–53.Crossref, Google Scholar
• Ortiz-Tudela E, Iurisci I, Beau J, Karaboue A, Moreau T, Rol MA, Madrid JA, Lévi F, Innominato PF (2014) The circadian rest-activity rhythm, a potential safety pharmacology endpoint of cancer chemotherapy. Internat. J. Cancer 134:2717–2725.Google Scholar
• Pendem P, Green P, Staats BR, Gino F (2016) The microstructure of work: Understanding productivity benefits and costs of interruptions. Accessed September 28, 2019, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2888477.Google Scholar
• Perdikaki O, Kesavan S, Swaminathan JM (2012) Effect of traffic on sales and conversion rates of retail stores. Manufacturing Service Oper. Management 14(1):145–162.Link, Google Scholar
• Pinedo ML (2012) Scheduling: Theory, Algorithms, and Systems (Springer, New York).Crossref, Google Scholar
• Refinetti R, Sani M, Jean-Louis G, Pandi-Perumal SR, Durazo-Arvizu RA, Dugas LR, Kafensztok R, et al. (2015) Evidence for daily and weekly rhythmicity but not lunar or seasonal rhythmicity of physical activity in a large cohort of individuals from five different countries. Ann. Medicine 47(7):530–537.Crossref, Google Scholar
• Roels G, Staats BR (2020) People-centric operations: Achievements and future research directions INSEAD Working Paper No. 2020/51/TOM, Preprint, submitted XX, https://dx.doi.org/10.2139/ssrn.3719847.Google Scholar
• Scandura TA, Lankau MJ (1997) Relationships of gender, family responsibility and flexible work hours to organizational commitment and job satisfaction. J. Organ. Behav. 18:377–391.Crossref, Google Scholar
• Schneider D, Harknett K (2019) Consequences of routine work-schedule instability for worker health and well-being. Amer. Sociol. Rev. 84(1):82–114.Crossref, Google Scholar
• Schultz KL, Juran DC, Boudreau JW, McClain JO, Thomas LJ (1998) Modeling and worker motivation in JIT production systems. Management Sci. 44(12):1595–1607.Link, Google Scholar
• Shang G, Pekgun P, Ferguson ME, Galbreth MR (2017) How much do online consumers really value free product returns? Evidence from eBay. J. Oper. Management 53–56:45–62.Crossref, Google Scholar
• Sharma VK (2003) Adaptive significance of circadian clocks. Chronobiology Internat. 20(6):901–919.Crossref, Google Scholar
• Tan TF, Netessine S (2014) When does the devil make work? An empirical study of the impact of workload on worker productivity. Management Sci. 60(6):1574–1593.Link, Google Scholar
• Tan TF, Netessine S (2019) When you work with a superman, Will you also fly? An empirical study of the impact of coworkers on performance. Management Sci. 65(8):3495–3517.Link, Google Scholar
• Tausig M, Fenwick R (2001) Unbinding time: Alternate work schedules and work-life balance. J. Family Econom. Issues 22(2):101–119.Crossref, Google Scholar
• Truong VA (2015) Optimal advance scheduling. Management Sci. 61(7):1584–1597.Link, Google Scholar
• U.S. Bureau of Labor Statistics (2019) Workers by shift usually worked and selected characteristics, averages for the period 2017-2018. Accessed September 28, 2019, https://www.bls.gov/news.release/flex2.t07.htm.Google Scholar
• Van den Bergh J, Belien J, De Bruecker P, Demeulemeester E, Boeck L (2013) Personnel scheduling: A literature review. Eur. J. Oper. Res. 226(3):367–385.Crossref, Google Scholar
• Williams JC, Lambert SJ, Kesavan S, Fugiel PJ, Ospina LA, Rapoport EE, Jarpe M, et al. (2018) Stable scheduling increases productivity and sales. Accessed September 28, 2019, https://worklifelaw.org/publications/Stable-Scheduling-Study-Report.pdf.Google Scholar
• Wood S, Michaelides G, Totterdell P (2013) The impact of fluctuating workloads on well-being and the mediating role of work−nonwork interference in this relationship. J. Occupational Health Psych. 18(1):106–119.Crossref, Google Scholar
• Wooldridge JM (2008) Introductory Econometrics: A Modern Approach, 4th ed. (Nelson Education).Google Scholar
• Zeytinoglu I, Lillevik W, Seaton M, Moruz J (2004) Part-time and casual work in retail trade: Stress and other factors affecting the workplace. Related Industry 59(3):516–542.Crossref, Google Scholar
• Zhu L, Zee PC (2012) Circadian rhythm sleep disorders. Neurology Clinics 30(4):1167–1191.Crossref, Google Scholar
• Zhu E, Crainic TG, Gendreau M (2014) Scheduled service network design for freight rail transportation. Oper. Res. 62(2):383–400.Link, Google Scholar