The When and Why of Abandonment: The Role of Organizational Differences In Medical Technology Life Cycles

References

• Aaron HJ (2000) The plight of academic medical centers. Report, Brookings Institution, Washington, DC.Google Scholar
• Abrahamson E, Rosenkopf L (1993) Institutional and competitive bandwagons: Using mathematical modeling as a tool to explore innovation diffusion. Acad. Management Rev. 18(3): 487–517.Crossref, Google Scholar
• Adner R, Kapoor R (2016) Innovation ecosystems and the pace of substitution: Re-examining technology S-curves. Strategic Management J. 37(4):625–648.Crossref, Google Scholar
• Adner R, Snow D (2010) Old technology responses to new technology threats: Demand heterogeneity and technology retreats. Indust. Corporate Change 19(5):1655–1675.Crossref, Google Scholar
• Agarwal R, Ohyama A (2013) Industry or academia, basic or applied? Career choices and earnings trajectories of scientists. Management Sci. 59(4):950–970.Link, Google Scholar
• Agarwal R, Tripsas M (2011) Technology and industry evolution. Shane S, ed. Handbook of Technology and Innovation Management (John Wiley & Sons, Hoboken, NJ), 3–55.Google Scholar
• Agarwal R, Gao G, DesRoches C, Jha AK (2010) Research commentary—The digital transformation of healthcare: Current status and the road ahead. Inform. Systems Res. 21(4):796–809.Link, Google Scholar
• Ai C, Norton EC (2003) Interaction terms in logit and probit models. Econom. Lett. 80(1):123–129.Crossref, Google Scholar
• American Heart Association (2006) Adopting technological innovation in hospitals: Who pays and who benefits? Report, American Heart Association, Dallas.Google Scholar
• Angrist JD, Pischke JS (2008) Mostly Harmless Econometrics: An Empiricist’s Companion (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Angst CM, Agarwal R, Sambamurthy V, Kelley K (2010) Social contagion and information technology diffusion: The adoption of electronic medical records in U.S. hospitals. Management Sci. 56(8):1219–1241.Link, Google Scholar
• Bales R, Tiberio K, Tesch T (2014) Nonprofit or for-profit? Hospital conversion considerations. Report, The Camden Group, El Segundo, CA.Google Scholar
• Boden WE, O’Rourke RA, Teo KK, Hartigan PM, Maron DJ, Kostuk WJ, Knudtson Met al. (2007) Optimal medical therapy with or without PCI for stable coronary disease. New England J. Medicine 356(15):1503–1516.Crossref, Google Scholar
• Boston Scientific (2014) 2014 Procedural reimbursement guide. Report, Boston Scientific, Natick, MA. https://www.bostonscientific.com/content/dam/bostonscientific/Reimbursement/IC/2014_PPG_CRV_210407_AA_JAN2014.pdf.Google Scholar
• Burke MA, Fournier GM, Prasad K (2003) Physician social networks and geographical variation in medical care. Report, Center on Social and Economic Dynamics, Brookings Institution, Washington, DC.Google Scholar
• Burke MA, Fournier GM, Prasad K (2007) The diffusion of a medical innovation: Is success in the stars? Southern Econom. J. 73(3): 588–603.Google Scholar
• Burns LR, Wholey DR (1993) Adoption and abandonment of matrix management programs: Effects of organizational characteristics and interorganizational networks. Acad. Management J. 36(1): 106–138.Crossref, Google Scholar
• Bynum WF, Porter R (2013) Companion Encyclopedia of the History of Medicine (Routledge, New York).Google Scholar
• Cassar A, Holmes DR, Rihal CS, Gersh BJ (2009) Chronic coronary artery disease: Diagnosis and management. Mayo Clinic Proc. 84(12):1130–1146.Crossref, Google Scholar
• Daemen J, Simoons ML, Wijns W, Bagust A, Bos G, Bowen JM, Braunwald Eet al. (2009) Meeting report. Eur. Heart J. 30(2): 152–161.Google Scholar
• Finkelstein SN, Gilbert DL (1985) Scientific evidence and the abandonment of medical technology: A study of eight drugs. Res. Policy 14(4):225–233.Crossref, Google Scholar
• Florida Hospital Government and Public Affairs (2011) The economics of not for profit hospitals: Health issues brief. Report, Florida Hospital Government and Public Affairs, Altamonte Springs, FL.Google Scholar
• Freidson E (1988) Profession of Medicine: A Study of the Sociology of Applied Knowledge (University of Chicago Press, Chicago).Google Scholar
• Gawande A (2015) Overkill: An avalanche of unnecessary medical care is harming patients physically and financially. What can we do about it? The New Yorker (May 11), http://www.newyorker.com/magazine/2015/05/11/overkill-atul-gawande.Google Scholar
• Gort M, Klepper S (1982) Time paths in the diffusion of product innovations. Econom. J. 92(367):630–653.Google Scholar
• Greenwood BN, Agarwal R (2016) Matching platforms and HIV incidence: An empirical investigation of race, gender, and socio-economic status. Management Sci. 62(8):2281–2303.Link, Google Scholar
• Greer AL (1981) Medical technology: Assessment, adoption, and utilization. J. Medical Systems 5(1–2):129–145.Crossref, Google Scholar
• Greve HR (1995) Jumping ship: The diffusion of strategy abandonment. Admin. Sci. Quart. 40(3):444–473.Crossref, Google Scholar
• Horwitz JR (2005) Making profits and providing care: Comparing nonprofit, for-profit, and government hospitals. Health Affairs 24(3):790–801.Crossref, Google Scholar
• Howard DH, Shen YC (2012) Comparative effectiveness research, technological abandonment, and health care spending. Adv. Health Econom. Health Services Res. 23:103–121.Crossref, Google Scholar
• Huckman RS, Pisano GP (2006) The firm specificity of individual performance: Evidence from cardiac surgery. Management Sci. 52(4):473–488.Link, Google Scholar
• Iglehart JK (1999) The American health care system. New England J. Medicine 340(5):403–408.Crossref, Google Scholar
• Jha AK, Li Z, Orav EJ, Epstein AM (2005) Care in US hospitals—The hospital quality alliance program. New England J. Medicine 353(3):265–274.Crossref, Google Scholar
• Kapoor R, Furr NR (2015) Complementarities and competition: Unpacking the drivers of entrants’ technology choices in the solar photovoltaic industry. Strategic Management J. 36(3):416–436.Crossref, Google Scholar
• Kennedy MT (2011) Diffusion and delegitimation: The growth of trusts and the rise of antitrust law, 1865–1930. Working paper, Imperial College London, South Kensington, UK.Google Scholar
• Kennedy MT, Fiss PC (2009) Institutionalization, framing, and diffusion: The logic of TQM adoption and implementation decisions among US hospitals. Acad. Management J. 52(5):897–918.Crossref, Google Scholar
• King G, Zeng L (2001) Logistic regression in rare events data. Political Anal. 9(2):137–163.Crossref, Google Scholar
• Lee TM (2004) EMTALA primer: The impact of changes in the emergency medicine landscape on EMTALA compliance and enforcement. Ann. Health Law 13(1):145–178.Google Scholar
• Lüscher TF, Steffel J, Eberli FR, Joner M, Nakazawa G, Tanner FC, Virmani R (2007) Drug-eluting stent and coronary thrombosis biological mechanisms and clinical implications. Circulation 115(8):1051–1058.Crossref, Google Scholar
• Merton RK (1973) The Normative Structure of Science (University of Chicago Press, Chicago).Google Scholar
• Moulton BR (1990) An illustration of a pitfall in estimating the effects of aggregate variables on micro units. Rev. Econom. Statist. 72(2):334–338.Crossref, Google Scholar
• Rao H, Greve HR, Davis GF (2001) Fool’s gold: Social proof in the initiation and abandonment of coverage by Wall Street Analysts. Admin. Sci. Quart. 46(3):502–526.Crossref, Google Scholar
• Rosamond W (2007) AHA statistical update. Circulation 115: e69–e171.Crossref, Google Scholar
• Simpson EH (1951) The interpretation of interaction in contingency tables. J. Roy. Statist. Soc. Ser. B (Methodological) 238–241.Google Scholar
• Smith SC, Feldman TE, Hirshfeld JW, Jacobs AK, Kern MJ, King SB, Morrison DAet al. (2006) ACC/AHA/SCAI 2005 guideline update for percutaneous coronary intervention: A report of the American College of Cardiology/American Heart Association Task Force on practice guidelines (ACC/AHA/SCAI writing committee to update the 2001 guidelines for percutaneous coronary intervention). J. Amer. College Cardiology 47(1):e1–e121.Crossref, Google Scholar
• Timbie JW, Fox DS, Van Busum K, Schneider EC (2012) Five reasons that many comparative effectiveness studies fail to change patient care and clinical practice. Health Affairs 31(10): 2168–2175.Crossref, Google Scholar
• Tripsas M (2009) Technology, identity, and inertia through the lens of “the digital photography company.” Organ. Sci. 20(2):441–460.Link, Google Scholar
• Tu JV, Bowen J, Chiu M, Ko DT, Austin PC, He Y, Hopkins R, Tarride J-E, Blackhouse G, Lazzam C (2007) Effectiveness and safety of drug-eluting stents in Ontario. New England J. Medicine 357(14):1393–1402.Crossref, Google Scholar
• Venkatesh V, Morris MG, Gordon BD, Davis FD (2003) User acceptance of information technology: Toward a unified view. MIS Quart. 27(3):425–478.Crossref, Google Scholar
• Wales SD (2003) The Stark Law: Boon or boondoggle? An analysis of the prohibition on physician self-referrals. Law Psych. Rev. 27:1–28.Google Scholar
• Wartman SA (2008) The Academic health center: Evolving organizational models. Report, Association of Academic Health Centers, Washington, DC.Google Scholar
• Wartman SA (2010) Commentary: Academic health centers: The compelling need for recalibration. Acad. Medicine 85(12): 1821–1822.Crossref, Google Scholar
• Wieffering E (2011) Patients and taxpayers bear cost of stent wars. Star Tribune (June 18), http://www.startribune.com/patients-and-taxpayers-bear-cost-of-stent-wars/124101119/.Google Scholar
• Zelner BA (2009) Using simulation to interpret results from logit, probit, and other nonlinear models. Strategic Management J. 30(12):1335–1348.Crossref, Google Scholar