Biomedical Engineering Reference
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Muller E, Peres R, Mahajan V (2010) Innovation diffusion and new product growth models: a criti-
cal review and research directions. Int J Res Mark 27(2):91-106
Narayanan S, Manchanda P (2009) Heterogeneous learning and the targeting of marketing com-
munication for new products. Mark Sci 28(3):424-441
Narayanan S, Desiraju R, Chintagunta PK (2004) Return on investment implications for pharma-
ceutical promotional expenditures: the role of marketing-mix interactions. J Mark 68(4):
90-105
Narayanan S, Manchanda P, Chintagunta PK (2005) Temporal differences in the role of marketing
communication in new product categories. J Mark Res 42(August):278-290
Ofek E (2005) Forecasting the adoption of e-books. Harvard Business School Case 9-505-063
Ofek E (2008a) Forecasting the adoption of a new product. Harvard Business School Case
9-505-062
Ofek E (2008b) Examining the adoption of drug-eluting stents. Harvard Business School Case
9-509-028
Onkvisit S, Shaw JJ (1989) International marketing analysis and strategy. Merrill Publishing,
Columbus, OH
Padmanabhan V, Bass F (1993) Optimal pricing of successive generations of product advances. Int
J Res Mark 10(2):185-207
Parsons LJ, Vanden Abeele P (1981) Analysis of sales call effectiveness. J Mark Res 18(1):
107-113
Rao AG, Yamada M (1988) Forecasting with a repeat purchase diffusion model. Manag Sci
34(6):734-752
Roberts JH, Nelson CJ, Morrison PD (2005) A prelaunch diffusion model for evaluating market
defense strategies. Mark Sci 24(1):150-164
Rosenthal MB, Berndt ER, Donohue JM, Epstein AM, Frank RG (2003) Demand effects of recent
changes in prescription drug information. In: Cutler DM, Garber AM (eds) Frontiers in health
policy research, vol 6. MIT Press, Boston, pp 1-26
Santerre R, Vernon JA (2005) Assessing consumer gains from a drug price control policy in the
U.S. NBER working paper 11139
Shankar V, Carpenter GS, Krishnamurthi L (1998) Late mover advantage: how innovative late
entrants outsell pioneers. J Mark Res 35:54-70
Singh J, Cuttler L, Shin M, Silvers J, Neuhauser D (1998) Medical decision-making and the
patient: understand preference patterns for growth hormone therapy using conjoint analysis.
Med Care 36:AS31-AS45
Stremersch S, Lemmens A (2009) Sales growth of new pharmaceuticals across the globe: the role
of regulatory regimes. Mark Sci 28(4):690-718
Stremersch S, Tellis GL (2004) Understanding and managing international growth of new prod-
ucts. Int J Res Mark 21(4):421-443
Stremersch S, Van Dyck W (2009) Marketing of the life sciences: a new framework and research
agenda for a nascent field. J Mark 73(4):4-30
Stremersch S, Landsman V, Venkataraman S (2013) The relationship between DTCA, drug
requests and prescriptions: Uncovering variation across specialty and space.” Marketing
Science 32(1): 89-110
Talukdar D, Sudhir K, Ainslie A (2002) Investigating new product diffusion across products and
countries. Mark Sci 21(1):97-116
Tellis GJ, Stremersch S, Yin E (2003) The international takeoff of new products: the role of eco-
nomics, culture, and country innovativeness. Mark Sci 22(2):188-208
Toubia O, Simester DI, Hauser JR, Dahan E (2003) Fast polyhedral adaptive conjoint estimation.
Mark Sci 22(3):273-303
Toubia O, Hauser JR, Simester DI (2004) Polyhedral methods for adaptive choice-based conjoint
analysis. J Mark Res 41(1):116-131
Urban GL, Hauser JR, Roberts JH (1990) Prelaunch forecasting of new automobiles. Manag Sci
36(4):401-421
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