Multigeneration Product Diffusion in the Presence of Strategic Consumers

Published Online:https://doi.org/10.1287/isre.2017.0720

References

  • Apple (2012) iPhone 5 pre-orders top two million in first 24 hours. (September 17), Apple Press Info, Cupertino, CA. https://www.apple.com/sg/newsroom/2012/09/17iPhone-5-Pre-Orders-Top-Two-Million-in-First-24-Hours/.Google Scholar
  • Aviv Y, Pazgal A (2008) Optimal pricing of seasonal products in the presence of forward-looking consumers. Manufacturing Service Oper. Management 10(3):339–359.LinkGoogle Scholar
  • Bala R, Carr S (2009) Pricing software upgrades: The role of product improvement and user costs. Production Oper. Management 18(5):560–580.CrossrefGoogle Scholar
  • Balakrishnan PV, Pathak S (2014) Impeding the juggernaut of innovation diffusion: A production-constrained model. Production Oper. Management 23(7):1183–1197.CrossrefGoogle Scholar
  • Bass FM (1969) A new-product growth model for consumer durables. Management Sci. 15(1):215–227.LinkGoogle Scholar
  • Besanko D, Winston WL (1990) Optimal price skimming by a monopolist facing rational customers. Management Sci. 36(5):555–567.LinkGoogle Scholar
  • Bhattacharya S, Krishnan V, Mahajan V (2003) Operationalizing technology improvements in product development decision making. Eur. J. Oper. Res. 149(1):102–130.CrossrefGoogle Scholar
  • Chatterjee R, Eliashberg J (1990) The innovation diffusion process in a heterogeneous population: A micromodeling approach. Management Sci. 36(9):1057–1079.LinkGoogle Scholar
  • Cheng HK, Liu Y (2012) Optimal software free trial strategy: The impact of network externalities and consumer uncertainty. Inform. Systems Res. 23(2):488–504.LinkGoogle Scholar
  • Chu CP, Pan JG (2008) The forecasting of the mobile Internet in Taiwan by diffusion model. Tech. Forecasting Soc. Change 75(7):1054–1067.CrossrefGoogle Scholar
  • Danaher PJ, Hardie BGS, Putsis WP Jr (2001) Marketing-mix variables and the diffusion of successive generations of a technological innovation. J. Marketing Res. 38(4):501–514.CrossrefGoogle Scholar
  • Dolan RJ, Jeuland AP (1981) Experience curve and dynamic demand models: Implications for optimal pricing strategies. J. Marketing 45(1):52–62.CrossrefGoogle Scholar
  • Dou Y, Niculescu MF, Wu DJ (2013) Engineering optimal network effects via social media features and seeding in markets for digital goods and services. Inform. Systems Res. 24(1):164–185.LinkGoogle Scholar
  • Feichtinger G (1982) Optimal pricing in a diffusion model with concave price-dependent market potential. Oper. Res. Lett. 1(6):236–240.CrossrefGoogle Scholar
  • Goldenberg J, Linai B, Muller E (2002) Riding the saddle: How cross-market communications can create a major slump in sales. J. Marketing 66(2):1–16.CrossrefGoogle Scholar
  • Golder PN, Tellis GJ (1997) Will it ever fly? Modeling the takeoff of really new consumer durables. Marketing Sci. 16(3):256–270.LinkGoogle Scholar
  • Hall RE (1988) Intertemporal substitution in consumption. J. Political Econom. 96(2):339–357.CrossrefGoogle Scholar
  • Hiebert LD (1974) Risk, learning and the adoption of fertilizer responsive seed varieties. Amer. J. Agricultural Econom. 56(4):764–768.CrossrefGoogle Scholar
  • Ho T, Savin S, Terwiesch C (2002) Managing demand and sales dynamics in new product diffusion under supply constraint. Management Sci. 48(2):187–206.LinkGoogle Scholar
  • Islam T, Meade N (1997) The diffusion of successive generations of a technology: A more general model. Tech. Forecasting Soc. Change 56(1):49–60.CrossrefGoogle Scholar
  • Jain DC, Mahajan V, Muller E (1991) Innovation of diffusion in presence of supply restrictions. Marketing Sci. 10(1):83–90.LinkGoogle Scholar
  • Jensen R (1982) Adoption and diffusion of an innovation of uncertain profitability. J. Econom. Theory 27(1):182–193.CrossrefGoogle Scholar
  • Jiang Z (2010) How to give away software with successive versions. Decision Support Systems 49(4):430–441.CrossrefGoogle Scholar
  • Jiang Z, Jain D (2012) A generalized Norton-Bass model for multigeneration diffusion. Management Sci. 58(10):1887–1897.LinkGoogle Scholar
  • Jun DB, Park YS (1999) A choice-based diffusion model for multiple generations of products. Tech. Forecasting Soc. Change 61(1):45–58.CrossrefGoogle Scholar
  • Kalish S (1983) Monopolist pricing with dynamic demand and production cost. Marketing Sci. 2(2):135–159.LinkGoogle Scholar
  • Kalish S (1985) A new product adoption model with price, advertising, and uncertainty. Management Sci. 31(12):1569–1585.LinkGoogle Scholar
  • Ke TT, Shen ZM, Li S (2013) How inventory cost influences introduction timing of product line extensions. Production Oper. Management 22(5):1214–1231.Google Scholar
  • Kim N, Srivastava RK, Han JK (2001) Consumer decision-making in a multi-generational choice set context. J. Bus. Res. 53(3):123–136.CrossrefGoogle Scholar
  • Kim WJ, Lee JD, Kim TY (2005) Demand forecasting for multigenerational products combining discrete choice and dynamics of diffusion under technological trajectories. Tech. Forecasting Soc. Change 72(7):825–849.CrossrefGoogle Scholar
  • Krankel RM, Duenyas I, Kapuscinski R (2006) Timing successive product introductions with demand diffusion and stochastic technology improvement. Manufacturing Service Oper. Management 8(2):119–135.LinkGoogle Scholar
  • Kurawarwala A, Matsuo H (1996) Forecasting and inventory management of short life-cycle products. Oper. Res. 44(1):131–150.LinkGoogle Scholar
  • Levin Y, McGill J, Nediak M (2009) Dynamic pricing in the presence of strategic consumers and oligopolistic competition. Management Sci. 55(1):32–46.LinkGoogle Scholar
  • Liu Q, van Ryzin G (2008) Strategic capacity rationing to induce early purchases. Management Sci. 54(6):1115–1131.LinkGoogle Scholar
  • Liu Q, Zhang D (2013) Dynamic pricing competition with strategic customers under vertical product differentiation. Management Sci. 59(1):84–101.LinkGoogle Scholar
  • Mahajan V, Muller E (1996) Timing, diffusion, and substitution of successive generations of technological innovations: The IBM mainframe case. Tech. Forecasting Soc. Change 51(2):109–132.CrossrefGoogle Scholar
  • Mahajan V, Muller E, Bass FM (1990) New product diffusion models in marketing: A review and directions for research. J. Marketing 54(1):1–26.CrossrefGoogle Scholar
  • Mehra A, Seidmann A, Mojumder P (2014) Product life-cycle management of packaged software. Production Oper. Management 23(3):366–378.CrossrefGoogle Scholar
  • Moorthy K, Png I (1992) Market segmentation, cannibalization, and the timing of product introductions. Management Sci. 38(3):345–359.LinkGoogle Scholar
  • Newton C (2012) iPad sales miss estimates as rate of adoption slowed. CNET (October 25). https://www.cnet.com/news/ipad-sales-miss-estimates-as-rate-of-adoption-slowed/.Google Scholar
  • Niculescu MF, Shin H, Whang S (2012) Underlying consumer heterogeneity in markets for subscription-based IT services with network effects. Inform. Systems Res. 23(4):1322–1341.LinkGoogle Scholar
  • Norton JA, Bass FM (1987) A diffusion theory model of adoption and substitution for successive generations of high-technology products. Management Sci. 33(9):1069–1086.LinkGoogle Scholar
  • Oren SS, Schwartz RG (1988) Diffusion of new products in risk-sensitive markets. J. Forecasting 7(4):273–287.CrossrefGoogle Scholar
  • Padmanabhan V, Bass FM (1993) Optimal pricing of successive generations of product advances. Internat. J. Res. Marketing 10(2):185–207.CrossrefGoogle Scholar
  • Peres R, Muller E, Mahajan V (2010) Innovation diffusion and new product growth models: A critical review and research directions. Internat. J. Res. Marketing 27(2):91–106.CrossrefGoogle Scholar
  • Roberts JH, Urban GL (1988) Modeling multiattribute utility risk, and belief dynamics for new consumer durable brand choice. Management Sci. 34(2):167–185.LinkGoogle Scholar
  • Robinson B, Lakhani C (1975) Dynamic price models for new-product planning. Management Sci. 21(10):1113–1122.LinkGoogle Scholar
  • Roger EM (1983) The Diffusion of Innovation (Free Press, New York).Google Scholar
  • Seitz P (2015) Many consumers waiting for Apple watch version 2. Investors (September 30). https://www.investors.com/news/technology/click/apple-watch-version-2-needed-to-convince-many-buyers/.Google Scholar
  • Song I, Chintagunta PK (2003) A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Marketing Econom. 1(4):371–407.CrossrefGoogle Scholar
  • Stokey NL (1981) Rational expectations and durable goods pricing. Bell J. Econom. 12(1):112–128.CrossrefGoogle Scholar
  • Su X, Zhang F (2008) Strategic consumer behavior, commitment, and supply chain performance. Management Sci. 54(10):1759–1773.LinkGoogle Scholar
  • Wilson LO, Norton JA (1989) Optimal entry time for a product line extension. Marketing Sci. 8(1):1–17.LinkGoogle Scholar
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