Quality–Speed Conundrum: Trade-offs in Customer-Intensive Services

Published Online:https://doi.org/10.1287/mnsc.1100.1250

References

  • Afèche P. Incentive-compatible revenue management in queueing systems: Optimal strategic delay and other delay tactics. (2006) . Working paper, University of Toronto, TorontoGoogle Scholar
  • Allon G., Federgruen A. Competition in service industries. Oper. Res. (2007) 55(1):37–55LinkGoogle Scholar
  • Armony M., Haviv M. Price and delay competition between two service providers. Eur. J. Oper. Res. (2000) 147(1):32–50CrossrefGoogle Scholar
  • Baumol W. J. Health care, education, and the cost disease: A looming crisis for public choice. Public Choice (1993) 77(1):17–28CrossrefGoogle Scholar
  • Brahimi M., Worthington D. J. Queueing models for out-patient appointment systems—A case study. J. Oper. Res. Soc. (1991) 42(9):733–746Google Scholar
  • Cachon G., Harker P. Competition and outsourcing with scale economies. Management Sci. (2002) 48(10):1314–1333LinkGoogle Scholar
  • Chase R. B., Tansik D. A. The customer contact model for organization design. Management Sci. (1983) 29(9):1037–1050LinkGoogle Scholar
  • Chen H., Frank M. Monopoly pricing when customers queue. IIE Trans. (2004) 36(6):569–581CrossrefGoogle Scholar
  • Chen H., Wan Y. Price competition of make-to-order firms. IIE Trans. (2003) 35(9):871–832Google Scholar
  • Chen L. M., Farwell W. R., Jha A. K. Primary care visit duration and quality: Does good care take longer? Archives Internal Medicine (2009) 56(6):1866–1872Google Scholar
  • de Vericourt F., Sun P. Judgement accuracy under congestion in service systems. (2009) . Working paper, Duke University, Durham, NCGoogle Scholar
  • de Vericourt F., Zhou Y. Managing response time in a call-routing problem with service failure. Oper. Res. (2005) 53(6):968–981LinkGoogle Scholar
  • Debo L., Toktay L. B., Van Wassenhove L. N. Queueing for expert services. Management Sci. (2008) 54(8):1497–1512LinkGoogle Scholar
  • Edelson N. M., Hildebrand D. K. Congestion tolls for Poisson queuing processes. Econometrica (1975) 43(1):81–92CrossrefGoogle Scholar
  • Gans N. Customer loyalty and supplier quality competition. Management Sci. (2002) 48(2):207–221LinkGoogle Scholar
  • Gaynor M., Haas-Wilson D. Change, consolidation, and competition in health care markets. J. Econom. Perspect. (1999) 13(1):141–164CrossrefGoogle Scholar
  • Gilbert S. M., Weng Z. K. Incentive effects favor non-consolidating queues in a service system: The principal agent perspective. Management Sci. (1998) 44(12):1662–1669LinkGoogle Scholar
  • Green L., Savin S. Reducing delays for medical appointments: A queueing approach. Oper. Res. (2008) 56(6):1526–1538LinkGoogle Scholar
  • Hasija S., Pinker E., Shumsky R. A. Work expands to fill the time available: Capacity estimation and staffing under parkinson's law. Manufacturing Service Oper. Management (2009) 12(1):1–18LinkGoogle Scholar
  • Hassin R., Haviv M.To Queue or Not to Queue: Equilibrium Behavior in Queueing Systems (2003) (Kluwer Academic Publishers, Norwell, MA) CrossrefGoogle Scholar
  • Hopp W. J., Iravani S. M. R., Yuen G. Y. Operations systems with discretionary task completion. Management Sci. (2007) 53(1):61–77LinkGoogle Scholar
  • Kalai E., Kamien M., Rubinovitch M. Optimal service speeds in a competitive environment. Management Sci. (1992) 38(8):1154–1163LinkGoogle Scholar
  • Kaminetsky B. (2004) Testimony to the Joint Economic Committee of the United States Congress. Consumer-directed doctoring: The doctor is in, even if insurance is outWednesday, April 28Wahington, DCGoogle Scholar
  • Kostami V., Rajagopalan S. Speed quality tradeoffs in a dynamic model. (2009) . Working paper, University of Southern California, Los AngelesGoogle Scholar
  • Lederer P. J., Li L. Pricing, production, scheduling, and delivery-time competition. Oper. Res. (1997) 45(3):407–420LinkGoogle Scholar
  • Li L. The role of inventory in delivery time-competition. Management Sci. (1992) 38(2):182–197LinkGoogle Scholar
  • Li L., Lee Y. S. Pricing and delivery-time performance in a competitive environment. Management Sci. (1994) 40(5):633–646LinkGoogle Scholar
  • Lovejoy W., Sethuraman K. Congestion and complexity costs in a plant with fixed resources that strives to make schedule. Manufacturing Service Oper. Management (2000) 2(3):221–239LinkGoogle Scholar
  • Lovelock C.Service Marketing, People, Technology and Strategy (2001) (Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Lu L., Van Mieghem J., Savaskan C. Incentives for quality through endogenous routing. Manufacturing Service Oper. Management (2008) 11(2):254–273LinkGoogle Scholar
  • Mechanic D., McAlpine D., Rosenthal M. A. Are patients' visits with physicians getting shorter? New England J. Medicine (2001) 344(3):198–204CrossrefGoogle Scholar
  • Mendelson H., Whang S. Optimal incentive-compatible priority pricing for the M/M/1 queue. Oper. Res. (1990) 38(5):870–893LinkGoogle Scholar
  • Naor P. The regulation of queue sizes by levying tolls. Econometrica (1969) 37(1):15–24CrossrefGoogle Scholar
  • Oliva R., Sterman R. J. Cutting corners and working overtime: Quality erosion in the service industry. Management Sci. (2001) 47(7):894–914LinkGoogle Scholar
  • Pauly M. V., Satterthwaite M. A. The pricing of primary care physicians services: A test of the role of consumer information. Bell J. Econom. (1981) 12(2):488–506CrossrefGoogle Scholar
  • Pitts S. R., Niska R. W., Xu J., Burt C. W. National hospital ambulatory medical care survey: 2006 emergency department summary. National Health Statist. Reports (2008) 7(6). http://www.cdc.gov/nchs/data/nhsr/nhsr007.pdfGoogle Scholar
  • Png I., Reitman D. Service time competition. RAND J. Econom. (1994) 25(4):619–634CrossrefGoogle Scholar
  • Ren Z. J., Wang X. Should patients be steered to high volume hospitals? An empirical investigation of hospital volume and operations service quality. (2008) . Working paper, Boston University, BostonGoogle Scholar
  • Ross S. M.Introduction to Probability Models (2006) 9th ed.(Academic Press, San Diego) Google Scholar
  • Surowiecki J. What ails us? The New Yorker (2003) July 7):27Google Scholar
  • Triplett J. E., Bosworth B. P.Productivity in the U.S. Services Sector, New Sources of Economic Growth (2004) (Brookings Institution Press, Washington, DC) Google Scholar
  • Varian H. Economic scene; information technology may have been what cured low service-sector productivity. New York Times (2004) February 12). http://www.nytimes.com/2004/02/12/business/economic-scene-information-technology-may-have-been-what-cured-low-service.htmlGoogle Scholar
  • Veeraraghavan S., Debo L. Joining longer queues: Information externalities in queue choice. Manufacturing Service Oper. Management (2009) 11(4):543–562LinkGoogle Scholar
  • Wang X., Debo L. G., Scheller-Wolf A., Smith S. F. Design and analysis of diagnostic service centers. Management Sci. (2010) 56(11):1873–1890LinkGoogle Scholar
  • Yarnall K. S. H., Pollak K. I., Ostbye T., Krause K. M., Michener J. L. Primary Care: Is there enough time for prevention? Amer. J. Public Health (2003) 93(4):635–641CrossrefGoogle Scholar
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