The Distributional Impact of Fatigue on Performance

Published Online:https://doi.org/10.1287/mnsc.2023.4855

References

  • Ackerman PL, Kanfer R (2009) Test length and cognitive fatigue: An empirical examination of effects on performance and test-taker reactions. J. Exp. Psychol. Appl. 15(2):163–181.CrossrefGoogle Scholar
  • Akşin Z, Deo S, Jónasson JO, Ramdas K (2021) Learning from many: Partner exposure and team familiarity in fluid teams. Management Sci. 67(2):854–874.LinkGoogle Scholar
  • Arai T (1912) Mental Fatigue, vol. 54 (Teachers College, Columbia University, New York).Google Scholar
  • Batt RJ, Terwiesch C (2016) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.LinkGoogle Scholar
  • Bavafa H, Jónasson JO (2020) Recovering from critical incidents: Evidence from paramedic performance. Manufacturing Service Oper. Management 23(4):914–932.Google Scholar
  • Bavafa H, Jónasson JO (2021) The variance learning curve. Management Sci. 67(5):3104–3116.Google Scholar
  • Berry-Jaeker JA, Tucker AL (2016) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.LinkGoogle Scholar
  • Bertelson P, Joffe R (1963) Blockings in prolonged serial responding. Ergonomics 6(2):109–116.CrossrefGoogle Scholar
  • Bradley EH, Herrin J, Wang Y, Barton BA, Webster TR, Mattera JA, Roumanis SA, et al. (2006) Strategies for reducing the door-to-balloon time in acute myocardial infarction. N. Engl. J. Med. 355(22):2308–2320.CrossrefGoogle Scholar
  • Broadbent DE (1971) Decision and Stress (Academic Press, London).Google Scholar
  • Cameron C (1973) A theory of fatigue. Ergonomics 16(5):633–648.CrossrefGoogle Scholar
  • Cobb JA, Lin K (2017) Growing apart: The changing firm-size wage premium and its inequality consequences. Organ. Sci. 28(3):429–446.LinkGoogle Scholar
  • Correia S (2015) Singletons, Cluster-Robust Standard Errors and Fixed Effects: A Bad Mix (Technical Note, Duke University, Durham, NC).Google Scholar
  • Dai H, Milkman KL, Hofmann DA, Staats BR (2015) The impact of time at work and time off from work on rule compliance: The case of hand hygiene in healthcare. J. Appl. Psychol. 100(3):846–862.CrossrefGoogle Scholar
  • Deo S, Jain A (2019) Slow first, fast later: Temporal speed-up in service episodes of finite duration. Production Oper. Management 28(5):1061–1081.CrossrefGoogle Scholar
  • Dobkin C, Finkelstein A, Kluender R, Notowidigdo MJ (2018) The economic consequences of hospital admissions. Amer. Econom. Rev. 108(2):308–352.CrossrefGoogle Scholar
  • Dube A (2019) Minimum wages and the distribution of family incomes. Amer. Econom. J. Appl. Econom. 11(4):268–304.CrossrefGoogle Scholar
  • Evans-Davis T (1999) Pilot fatigue: Unresponsive federal aviation regulations and increasing cockpit technology threaten to rock the nation’s pilots to sleep and compromise consumer safety. J. Air Law Commerce 65(3):567–604.Google Scholar
  • Falk A, Zimmermann F (2016) Consistency as a signal of skills. Management Sci. 63(7):2197–2210.LinkGoogle Scholar
  • Feero S, Hedges JR, Simmons E, Irwin L (1995) Does out-of-hospital EMS time affect trauma survival? Amer. J. Emerg. Medicine 13(2):133–135.CrossrefGoogle Scholar
  • Firpo S, Fortin NM, Lemieux T (2009) Unconditional quantile regressions. Econometrica 77(3):953–973.CrossrefGoogle Scholar
  • Freeman M, Savva N, Scholtes S (2016) Gatekeepers at work: An empirical analysis of a maternity unit. Management Sci. 63(10):3147–3167.LinkGoogle Scholar
  • Grandjean E (1979) Fatigue in industry. Occup. Environ. Med. 36(3):175–186.CrossrefGoogle Scholar
  • Hockey R (1986) Changes in operator efficiency as a function of environmental stress, fatigue, and circadian rhythms. Boff K, Kaufman L, Thomas JP, eds. Handbook of Perception and Performance, Vol. 2: Cognitive Processes and Performance (Wiley), 41–44.Google Scholar
  • Hockey R (2013) The Psychology of Fatigue: Work, Effort and Control (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Hong LJ (2009) Estimating quantile sensitivities. Oper. Res. 57(1):118–130.LinkGoogle Scholar
  • Ibanez MR, Toffel MW (2020) How scheduling can bias quality assessment: Evidence from food-safety inspections. Management Sci. 66(6):2396–2416.LinkGoogle Scholar
  • Ibanez MR, Clark JR, Huckman RS, Staats BR (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.LinkGoogle Scholar
  • Jex HR (1988) Measuring mental workload: Problems, progress, and promises. Adv. Psych. 52:5–39.Google Scholar
  • KC DS, Terwiesch C (2009) Impact of workload on service time and patient safety: An econometric analysis of hospital operations. Management Sci. 55(9):1486–1498.LinkGoogle Scholar
  • Kim S, Chan CW, Olivares M, Escobar G (2014) Icu admission control: An empirical study of capacity allocation and its implication for patient outcomes. Management Sci. 61(1):19–38.LinkGoogle Scholar
  • Kingman JFC (1961) The single server queue in heavy traffic. Mathematical Proceedings of the Cambridge Philosophical Society, vol. 57 (Cambridge University Press), 902–904.CrossrefGoogle Scholar
  • Kraeplin E (1902) Die arbeitskurve. [the work curve] Philos. Stud. 19:451–502.Google Scholar
  • Krueger GP (1989) Sustained work, fatigue, sleep loss and performance: A review of the issues. Work Stress. 3(2):129–141.CrossrefGoogle Scholar
  • Kuntz L, Mennicken R, Scholtes S (2014) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. 61(4):754–771.LinkGoogle Scholar
  • LAS (2019) Annual report 2018–2019. Technical report, London Ambulance Service, London.Google Scholar
  • Lee E, Jang I (2020) Nurses’ fatigue, job stress, organizational culture, and turnover intention: A culture–work–health model. West. J. Nurs. Res. 42(2):108–116.CrossrefGoogle Scholar
  • Mackworth NH (1948) The breakdown of vigilance during prolonged visual search. Quart. J. Exp. Psychol. 1:6–21.CrossrefGoogle Scholar
  • Phillips GE (1920) Mental Fatigue. Records of the Education Society, Teachers College, Sydney, Australia.Google Scholar
  • Reagans R, Argote L, Brooks D (2005) Individual experience and experience working together: Predicting learning rates from knowing who knows what and knowing how to work together. Management Sci. 51(6):869–881.LinkGoogle Scholar
  • Rios-Avila F (2020) Recentered influence functions (rifs) in stata: Rif regression and rif decomposition. Stata J. 20(1):51–94.CrossrefGoogle Scholar
  • Robinson ES, Bills AG (1926) Two factors in the work decrement. J. Exp. Psychol. 9:415–443.CrossrefGoogle Scholar
  • Roels G, Staats BR (2021) People-centric operations: Achievements and future research directions. Manufacturing Service Oper. Management 23(4):745–757.LinkGoogle Scholar
  • Rosa RR (1995) Extended workshifts and excessive fatigue. J. Sleep Res. 4:51–56.CrossrefGoogle Scholar
  • Rossnagel K, Jungehülsing GJ, Nolte CH, Müller-Nordhorn J, Roll S, Wegscheider K, Villringer A, Willich SN (2004) Out-of-hospital delays in patients with acute stroke. Ann. Emerg. Medicine 44(5):476–483.CrossrefGoogle Scholar
  • Sacco WJ, Navin DM, Fiedler KE, Waddell RK II, Long WB, Buckman RF (2005) Precise formulation and evidence-based application of resource-constrained triage. Acad. Emerg. Medicine 12(8):759–770.CrossrefGoogle Scholar
  • Schwartz, Lindsay P, Hursh SR, Boyle L, Davis E, Smith M, Fitzgibbons SC (2021) Fatigue in surgical residents an analysis of duty-hours and the effect of hypothetical naps on predicted performance. Amer. J. Surg. 221(5):866–871.CrossrefGoogle Scholar
  • Smith KR (1941) Fatigue. Psychol. Bull. 38(6):346–369.CrossrefGoogle 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.LinkGoogle Scholar
  • Thorndike EL (1912) The curve of work. Psychol. Rev. 19(3):165–194.CrossrefGoogle Scholar
  • Thorndike EL (1914) Educ. Psychol. vol. 3. Mental work and fatigue and individual differences and their causes (Teachers College, Columbia University, New York). https://doi.org/10.1037/13796-000.Google Scholar
  • Ursin H (1998) The psychology in psychoneuroendocrinology. Psychoneuroendocrinology. 23(6):555–570.CrossrefGoogle Scholar
  • Vernon HM (1921) Industrial Fatigue and Efficiency (Routledge, London).Google Scholar
  • Warm JS, Dember WN, Hancock PA (2018) Vigilance and workload in automated systems. Parasuraman R, Mouloua M, eds., Automation and Human Performance: Theory and Application (Routledge, London), 183–200.Google Scholar
  • Wyatt S, Langdon JN (1932) Inspection Processes in Industry. Medical Research Council, Industrial Health Research Board Report, no. 63, HMSO, London.Google Scholar
  • Young MS, Stanton NA (2002) Malleable attentional resources theory: A new explanation for the effects of mental underload on performance. Hum. Factors. 44(3):365–375.CrossrefGoogle Scholar
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