Variety and Experience: Learning and Forgetting in the Use of Surgical Devices

Published Online:https://doi.org/10.1287/mnsc.2016.2721

References

  • Aggarwal R, Darzi A (2006) Technical-skills training in the 21st century. New England J. Medicine 355(25):2695–2696.CrossrefGoogle Scholar
  • Agrawal A, Muthulingam S (2015) Does organizational forgetting affect vendor quality performance? An empirical investigation. Manufacturing Service Oper. Management 17(3):350–367.LinkGoogle Scholar
  • Anderson D, Binder M, Krause K (2002) The motherhood wage penalty: Which mothers pay it and why? Amer. Econom. Rev. 92(2):354–358.CrossrefGoogle Scholar
  • Argote L (1999) Organizational Learning: Creating, Retaining and Transferring Knowledge (Kluwer Academic Publishers, Norwell, MA).Google Scholar
  • Argote L, Epple D (1990) Learning curves in manufacturing. Science 247(4945):920–924.CrossrefGoogle Scholar
  • Argote L, Beckman SL, Epple D (1990) The persistence and transfer of learning in industrial settings. Management Sci. 36(2):140–154.LinkGoogle Scholar
  • Bailey CD (1989) Forgetting and the learning curve: A laboratory study. Management Sci. 35(3):340–352.LinkGoogle Scholar
  • Bauer GCH (1992) What price progress? Failed innovations of the knee prosthesis. Acta Orthopaedica Scand. 63(3):245–246.CrossrefGoogle Scholar
  • Benkard CL (2000) Learning and forgetting: The dynamics of aircraft production. Amer. Econom. Rev. 90(4):1034–1054.CrossrefGoogle Scholar
  • Birkmeyer JD, Stukel TA, Siewers AE, Goodney PP, Wennberg DE, Lucas F (2003) Surgeon volume and operative mortality in the United States. New England J. Medicine 349(22):2117–2127.CrossrefGoogle Scholar
  • Boh WF, Slaughter SA, Espinosa JA (2007) Learning from experience in software development: A multilevel analysis. Management Sci. 53(8):1315–1331.LinkGoogle Scholar
  • Boone T, Ganeshan R, Hicks RL (2008) Learning and knowledge depreciation in professional services. Management Sci. 54(7):1231–1236.LinkGoogle Scholar
  • Breusch TS, Pagan AR (1980) The Lagrange multiplier test and its applications to model specification in econometrics. Rev. Econom. Stud. 47(1):239–253.CrossrefGoogle Scholar
  • Brown MB, Forsythe AB (1974) Robust tests for the equality of variances. J. Amer. Statist. Assoc. 69(346):364–367.CrossrefGoogle Scholar
  • Charlson JR, Pompei P, Ales KL, MacKenzie CR (1987) A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Diseases 40(5):383–393.CrossrefGoogle Scholar
  • Clark JR, Huckman RS (2012) Broadening focus: Spillovers and the benefits of specialization in the hospital industry. Management Sci. 58(4):708–722.LinkGoogle Scholar
  • Clark JR, Huckman RS, Staats BR (2013) Learning from customers: Individual and organizational effects in outsourced radiological services. Organ. Sci. 24(5):1539–1557.LinkGoogle Scholar
  • Curfman GD, Redberg RF (2011) Medical devices—Balancing regulation and innovation. New England J. Medicine 365(4):975–977.CrossrefGoogle Scholar
  • Dean D, Pepper J, Schmidt R, Stern SN (2017) The effects of vocational rehabilitation services for people with mental illness. J. Human Resources 52(3):826–858.CrossrefGoogle Scholar
  • Fader PS, Hardie BGS, Lee KL (2005) “Counting your customers” the easy way: An alternative to the Pareto/NBD model. Marketing Sci. 24(2):275–284.LinkGoogle Scholar
  • GAO (U.S. Government Accountability Office) (2009) Report to congressional addressees: Medical devices—FDA should take steps to ensure that high-risk device types are approved through the most stringent premarket review process. Report GAO-09-190, GAO, Washington, DC.Google Scholar
  • Garber AM (2010) Modernizing device regulation. New England J. Medicine 362(13):1161–1163.CrossrefGoogle Scholar
  • Gelberman RH, Samson D, Mirza SK, Callaghan JJ, Pellegrini VD (2010) Orthopaedic surgeons and the medical device industry: The threat to scientific integrity and the public trust. J. Bone Joint Surgery 92(3):765–777.CrossrefGoogle Scholar
  • Gorman PJ, Meier AH, Rawn C, Krummel TM (2000) The future of medical education is no longer blood and guts, it is bits and bytes. Amer. J. Surgery 180(5):353–356.CrossrefGoogle Scholar
  • Gourieroux C, Monfort A, Renault E, Trognon A (1987) Generalised residuals. J. Econometrics 34(1–2):5–32.CrossrefGoogle Scholar
  • Ho T-H, Tang CS (1998) Product Variety Management: Research Advances, Vol. 10 (Springer Science and Business Media, New York).CrossrefGoogle Scholar
  • Huckman RS, Pisano GP (2006) The firm specificity of individual performance: Evidence from cardiac surgery. Management Sci. 52(4):473–488.LinkGoogle Scholar
  • Huckman RS, Staats BR (2011) Fluid tasks and fluid teams: The impact of diversity in experience and team familiarity on team performance. Manufacturing Service Oper. Management 13(3):310–328.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 D, Staats BR (2012) Accumulating a portfolio of experience: The effect of focal and related experience on surgeon performance. Manufacturing Service Oper. Management 14(4):618–633.LinkGoogle Scholar
  • Keane MP, Wolpin KI (1997) Career decisions of young men. J. Political Econom. 105(3):473–522.CrossrefGoogle Scholar
  • Kuntz L, Mennicken R, Scholtes S (2015) Stress on the ward: Evidence of safety the nonlinear relationship between organizational workload and service quality. Management Sci. 61(4):754–771.LinkGoogle Scholar
  • Levene H (1960) Robust tests for equality of variances. Olkin I, Ghurye SG, Hoeffding W, Maddow WG, Mann HB, eds. Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling (Stanford University Press, Stanford, CA), 278–292.Google Scholar
  • Lieberman M (1984) The learning curve and pricing in the chemical processing industries. RAND J. Econom. 15(2):213–228.CrossrefGoogle Scholar
  • MacDuffie JP, Sethuraman K, Fisher ML (1996) Product variety and manufacturing performance: Evidence from the international automotive assembly plant study. Management Sci. 42(3):350–369.LinkGoogle Scholar
  • Maisel WH (2004) Medical device regulation: An introduction for the practicing physician. Ann. Internal Medicine 140(4):296–302.CrossrefGoogle Scholar
  • McFadden D (1989) A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57(5):995–1026.CrossrefGoogle Scholar
  • Meier B (2011) In medicine, new isn’t always improved. New York Times (June 25), http://www.nytimes.com/2011/06/26/health/26innovate.html.Google Scholar
  • Mincer J, Ofek H (1982) Interrupted work careers: Depreciation and restoration of human capital. J. Human Resources 82(17):3–24.CrossrefGoogle Scholar
  • Narayanan S, Balasubramanian S, Swaminathan JM (2009) A matter of balance: Specialization, task variety, and individual learning in a software maintenance environment. Management Sci. 55(11):1861–1876.LinkGoogle Scholar
  • Nembhard DA, Osothsilp N (2001) An empirical comparison of forgetting models. IEEE Trans. Engrg. Management 48(3):283–291.CrossrefGoogle Scholar
  • Nembhard DA, Osothsilp N (2002) Task complexity effects on between-individual learning/forgetting variability. Internat. J. Indust. Ergonomics 29(5):297–306.CrossrefGoogle Scholar
  • Nembhard DA, Uzumeri MV (2000) Experiential learning and forgetting for manual and cognitive tasks. Internat. J. Indust. Ergonomics 25(4):315–326.CrossrefGoogle Scholar
  • Olivares M, Terwiesch C, Cassorla L (2008) Structural estimation of the newsvendor model: An application to reserving operating room time. Management Sci. 54(1):41–55.LinkGoogle Scholar
  • Peersman G, Laskin R, Davis J, Peterson MG, Richart T (2006) Prolonged operative time correlates with increased infection rate after total knee arthroplasty. HSS J. 2(2):70–72.CrossrefGoogle Scholar
  • Pisano GP, Bohmer RM, Edmondson AC (2001) Organizational differences in rates of learning: Evidence from the adoption of minimally invasive cardiac surgery. Management Sci. 47(6):752–768.LinkGoogle Scholar
  • Ramdas K (2003) Managing product variety: An integrative review and research directions. Production Oper. Management 12(1):79–101.CrossrefGoogle Scholar
  • Ramdas K, Randall T (2008) Does component sharing help or hurt reliability? An empirical study in the automotive industry. Management Sci. 54(5):922–938.LinkGoogle 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
  • Rosenthal E (2013) In need of a new hip, but priced out of the U.S. New York Times (August 3), http://www.nytimes.com/2013/08/04/health/for-medical-tourists-simple-math.html.Google Scholar
  • Saleh KJ, Novicoff WM, Rion D, MacCracken LH, Siegrist R (2009) Operating-room throughput: Strategies for improvement. J. Bone Joint Surgery 91(8):2028–2039.CrossrefGoogle Scholar
  • Salemi T (2011) Are device VCs becoming spineless? In Vivo 29(5):Article 2011800069.Google Scholar
  • Shafer SM, Nembhard DA, Uzumeri MV (2001) The effects of worker learning, forgetting, and heterogeneity on assembly line productivity. Management Sci. 47(12):1639–1653.LinkGoogle Scholar
  • Shwartz M, Ren J, Peköz EA, Wang X, Cohen AB, Restuccia JD (2008) Estimating a composite measure of hospital quality from the hospital compare database: Differences when using a Bayesian hierarchical latent variable model versus denominator-based weights. Medical Care 46(8):778–785.CrossrefGoogle Scholar
  • Shervin N, Rubash HE, Katz JN (2007) Orthopaedic procedure volume and patient outcomes: A systematic literature review. Clinical Orthopedics Related Res. 457(April):35–41.CrossrefGoogle Scholar
  • Sokal SM, Craft DL, Chang Y, Sandberg WS, Berger DL (2006) Maximizing operating room and recovery room capacity in an era of constrained resources. Arch. Surgery 141(4):389–396.CrossrefGoogle 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
  • Stern S (1997) Simulation-based estimation. J. Econom. Literature 35(4):2006–2039.Google Scholar
  • Thompson P (2007) How much did the Liberty shipbuilders forget? Management Sci. 53(6):908–918.LinkGoogle Scholar
  • Thornton RA, Thompson P (2001) Association learning from experience and learning from others: An exploration of learning and spillovers in wartime shipbuilding. Amer. Econom. Rev. 91(5):1350–1368.CrossrefGoogle Scholar
  • U.S. Senate (2008) Examining the relationship between the medical device industry and physicians: Testimony of Gregory E. Demske, Assistant Inspector General for Legal Affairs. Hearing Before the Senate Special Committee on Aging, Washington, DC.Google Scholar
  • Wixted JT (2004) The psychology and neuroscience of forgetting. Annual Rev. Psych. 55:235–269.CrossrefGoogle Scholar
  • Wright T (1936) Factors affecting the cost of airplanes. J. Aeronautical Sci. 3(4):122–128.CrossrefGoogle Scholar
  • Yamaguchi S (2012) Tasks and heterogeneous human capital. J. Labor Econom. 30(1):1–53.CrossrefGoogle Scholar
  • Yasunaga H, Tsuchiya K, Matsuyama Y, Ohe K (2009) High-volume surgeons in regard to reductions in operating time, blood loss and postoperative complications for total hip arthroplasty. J. Orthopaedic Sci. 14(1):3–9.CrossrefGoogle Scholar
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