When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity

Published Online:https://doi.org/10.1287/mnsc.2014.1950

References

  • Afifi AA, Clark V, May S (2004) Computer-Aided Multivariate Analysis (CRC Press, Boca Raton, FL).Google Scholar
  • Akşin OZ, Harker PT (2001) Modeling a phone center: Analysis of a multichannel, multiresource processor shared loss system. Management Sci. 47(2):324–336.LinkGoogle Scholar
  • Akşin Z, Armony M, Mehrotra V (2007) The modern call center: A multi-disciplinary perspective on operations management research. Production Oper. Management 16(6):665–688.CrossrefGoogle Scholar
  • Alizamir S, de Véricourt F, Sun P (2013) Diagnostic accuracy under congestion. Management Sci. 59(1):157–171.LinkGoogle Scholar
  • Anand KS, Paç MF, Veeraraghavan S (2011) Quality–speed conundrum: Trade-offs in customer-intensive services. Management Sci. 57(1):40–56.LinkGoogle Scholar
  • Angrist J, Krueger AB (1994) Why do World War II veterans earn more than nonveterans? J. Labor Econom. 12(1):74–97.CrossrefGoogle Scholar
  • Arlotto A, Chick SE, Gans N (2014) Optimal hiring and retention policies for heterogeneous workers who learn. Management Sci. 60(1):110–129.LinkGoogle Scholar
  • Batt RJ, Terwiesch C (2012) Doctors under load: An empirical study of state-dependent service times in emergency care. Working paper, University of Wisconsin–Madison, Madison.Google Scholar
  • Bendoly E (2011) Linking task conditions to physiology and judgment errors in RM systems. Production Oper. Management 20(6):860–876.CrossrefGoogle Scholar
  • Bendoly E, Hur D (2007) Bipolarity in reactions to operational “constraints”: OM bugs under an OB lens. J. Oper. Management 25(1):1–13.CrossrefGoogle Scholar
  • Bendoly E, Prietula M (2008) In the “zone”: The role of evolving skill and transitional workload on motivation and realized performance in operational tasks. Internat. J. Oper. Production Management 28(12):1130–1152.CrossrefGoogle 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.CrossrefGoogle Scholar
  • Bendoly E, Swink M, Simpson WP III (2013) Prioritizing and monitoring concurrent project work: Effects on switching behavior. Production Oper. Management, ePub ahead of print September 24, http://onlinelibrary.wiley.com/doi/10.1111/poms.12083/abstract.Google Scholar
  • Bloom N, Van Reenen J (2007) Measuring and explaining management practices across firms and countries. Quart. J. Econom. 122(4):1351–1408.CrossrefGoogle Scholar
  • Boudreau JW (2004) Organizational behavior, strategy, performance, and design in management science. Management Sci. 50(11):1463–1476.LinkGoogle 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.LinkGoogle Scholar
  • Brown L, Gans N, Mandelbaum A, Sakov A, Shen H, Zeltyn S, Zhao L (2005) Statistical analysis of a telephone call center: A queuing-science perspective. J. Amer. Statist. Assoc. 100(469):36–50.CrossrefGoogle Scholar
  • Cakir A, Hart DJ, Stewart TFM (1980) Visual Display Terminals: A Manual Covering Ergonomics, Workplace Design, Health and Safety, Task Organization (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Dalton AN, Spiller SA (2012) Too much of a good thing: The benefits of implementation intentions depend on the number of goals. J. Consumer Res. 39(3):600–614.CrossrefGoogle Scholar
  • de Véricourt F, Jennings OB (2011) Nurse staffing in medical units: A queueing perspective. Oper. Res. 59(6):1320–1331.LinkGoogle Scholar
  • Debo LG, Toktay LB, Van Wassenhove LN (2008) Queuing for expert services. Management Sci. 54(8):1497–1512.LinkGoogle Scholar
  • Deci EL, Connell JP, Ryan RM (1989) Self-determination in a work organization. J. Appl. Psych. 74(4):580–590.CrossrefGoogle Scholar
  • Donahue EM, Robins RW, Roberts BW, John OP (1993) The divided self: Concurrent and longitudinal effects of psychological adjustment and social roles on self-concept differentiation. J. Personality Soc. Psych. 64(5):834–846.CrossrefGoogle Scholar
  • Fields R (2007) Restaurant Success by the Numbers (Ten Speed Press, Berkeley, CA).Google Scholar
  • Fisher ML, Krishnan J, Netessine S (2006) Retail store execution: An empirical study. Working paper, The Wharton School, University of Pennsylvania, Philadelphia.Google Scholar
  • Fitzsimmons JA, Maurer GB (1991) A walk-through audit to improve restaurant performance. The Cornell Hotel and Restaurant Admin. Quart. 31(4):94–99.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.LinkGoogle Scholar
  • Hasija S, Pinker E, Shumsky RA (2010) OM Practice—Work expands to fill the time available: Capacity estimation and staffing under Parkinson's Law. Manufacturing Service Oper. Management 12(1):1–18.LinkGoogle Scholar
  • Hopp WJ, Iravani SMR, Yuen GY (2007) Operations systems with discretionary task completion. Management Sci. 53(1):61–77.LinkGoogle Scholar
  • Huckman RS, Staats BR, Upton DM (2009) Team familiarity, role experience, and performance: Evidence from Indian software services. Management Sci. 55(1):85–100.LinkGoogle 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
  • KC DS, Terwiesch C (2012) An econometric analysis of patient flows in the cardiac intensive care unit. Manufacturing Service Oper. Management 14(1):50–65.LinkGoogle Scholar
  • Kennedy P (2003) A Guide to Econometrics (MIT Press, Cambridge, MA).Google Scholar
  • Kimes SE (2004) Restaurant revenue management: Implementation at Chevys Arrowhead. Cornell Hotel and Restaurant Admin. Quart. 45(1):52–67.CrossrefGoogle Scholar
  • Kimes SE, Robson SKA (2004) The impact of restaurant table characteristics on meal duration and spending. Cornell Hotel and Restaurant Admin. Quart. 45(4):333–346.CrossrefGoogle Scholar
  • Kimes SE, Thompson GM (2004) Restaurant revenue management at Chevys: Determining the best table mix. Decision Sci. 35(3):371–392.CrossrefGoogle Scholar
  • Kimes SE, Barrash DI, Alexander JE (1999) Developing a restaurant revenue-management strategy. Cornell Hotel and Restaurant Admin. Quart. 40(5):18–29.CrossrefGoogle Scholar
  • Kimes SE, Chase RB, Choi S, Lee PY, Ngonzi EN (1998) Restaurant revenue management: Applying yield management to the restaurant industry. The Cornell Hotel and Restaurant Admin. Quart. 39(3):32–39.CrossrefGoogle Scholar
  • Kleinbaum DG, Kupper LL, Muller KE (2007) Applied Regression Analysis and Other Multivariable Methods (Duxbury Press, Pacific Grove, CA).Google Scholar
  • Kleinrock L (1976) Queueing Systems: Volume 2: Computer Applications, Vol. 82 (John Wiley & Sons, Hoboken, NJ).Google Scholar
  • Kostami V, Rajagopalan S (2014) Speed–quality trade-offs in a dynamic model. Manufacturing Service Oper. Management 16(1):104–118.LinkGoogle Scholar
  • Kuntz L, Mennicken R, Scholtes S (2014) Stress on the ward: Evidence of safety tipping points in hospitals. Management Sci. Forthcoming.Google Scholar
  • Latham GP, Locke EA (1979) Goal setting: A motivational technique that works. Organ. Dynam. 8(2):68–80.CrossrefGoogle Scholar
  • Lind JT, Mehlum H (2010) With or without U? The appropriate test for a U-shaped relationship. Oxford Bull. Econom. Statist. 72(1):109–118.CrossrefGoogle Scholar
  • Locke EA (1968) Toward a theory of task motivation and incentives. Organ. Behav. Human Performance 3(2):157–189.CrossrefGoogle Scholar
  • Luo J, Zhang J (2013) Staffing and control of instant messaging contact centers. Oper. Res. 61(2):328–343.LinkGoogle Scholar
  • Lupien SJ, Maheu F, Tu M, Fiocco A, Schramek TE (2007) The effects of stress and stress hormones on human cognition: Implications for the field of brain and cognition. Brain and Cognition 65(3):209–237.CrossrefGoogle Scholar
  • Maher K (2007) Wal-mart seeks flexibility in worker shifts. Wall Street Journal (January 3), http://online.wsj.com/news/articles/SB116779472314165646.Google Scholar
  • Mani V, Kesavan S, Swaminathan JM (2011) Understaffing in retail stores: Drivers and consequences. Working paper, Pennsylvania State University, University Park.Google Scholar
  • Mill RC (2006) Restaurant Management: Customers, Operations, and Employees, 3rd ed. (Prentice Hall, Upper Saddle River, NJ).Google Scholar
  • O'Connor EJ, Peters LH, Pooyan A, Weekley J, Frank B, Erenkrantz B (1984) Situational constraint effects on performance, affective reactions, and turnover: A field replication and extension. J. Appl. Psych. 69(4):663–672.CrossrefGoogle Scholar
  • Oliva R, Sterman JD (2001) Cutting corners and working overtime: Quality erosion in the service industry. Management Sci. 47(7):894–914.LinkGoogle 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.LinkGoogle Scholar
  • Peters LH, O'Connor EJ (1980) Situational constraints and work outcomes: The influences of a frequently overlooked construct. Acad. Management Rev. 5(3):391–397.CrossrefGoogle Scholar
  • Powell A, Savin S, Savva N (2012) Physician workload and hospital reimbursement: Overworked physicians generate less revenue per patient. Manufacturing Service Oper. Management 14(4):512–528.LinkGoogle Scholar
  • Robson SKA (1999) Turning the tables: The psychology of high volume restaurant design. Cornell Hotel and Restaurant Admin. Quart. 40(3):56–63.Google Scholar
  • Schultz KL, Juran DC, Boudreau JW (1999) The effects of low inventory on the development of productivity norms. Management Sci. 45(12):1664–1678.LinkGoogle 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.LinkGoogle Scholar
  • Setyawati L (1995) Relation between feelings of fatigue, reaction time and work productivity. J. Human Ergology 24(1):129–135.Google Scholar
  • Siebert WS, Zubanov N (2010) Management economics in a large retail company. Management Sci. 56(8):1398–1414.LinkGoogle Scholar
  • Staats BR, Gino F (2012) Specialization and variety in repetitive tasks: Evidence from a Japanese bank. Management Sci. 58(6):1141–1159.LinkGoogle Scholar
  • Staiger D, Stock JH (1997) Instrumental variables regression with weak instruments. Econometrica 65(3):557–586.CrossrefGoogle Scholar
  • Sulek JM, Hensley RL (2004) The relative importance of food, atmosphere, and fairness of wait: The case of a full-service restaurant. Cornell Hotel and Restaurant Admin. Quart. 45(3):235–247.CrossrefGoogle Scholar
  • Villas-Boas JM, Winer RS (1999) Endogeneity in brand choice models. Management Sci. 45(10):1324–1338.LinkGoogle Scholar
  • White H (1980) A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 48(4):817–838.CrossrefGoogle Scholar
  • Whitt W (2006) The impact of increased employee retention on performance in a customer contact center. Manufacturing Service Oper. Management 8(3):235–252.LinkGoogle Scholar
  • Wooldridge JM (2002) Econometric Analysis of Cross Section and Panel Data (The MIT Press, Cambridge, MA).Google Scholar
  • Zellner A, Theil H (1962) Three-stage least squares: Simultaneous estimation of simultaneous equations. Econometrica 30(1):54–78.CrossrefGoogle Scholar
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