Optimal Dynamic Product Development and Launch for a Network of Customers

References

• Acs ZJ, Audretsch DB (1987) Innovation, market structure, and firm size. Rev. Econom. Statist. 69(4):567–574.Crossref, Google Scholar
• Acs ZJ, Audretsch DB (1988) Innovation in large and small firms: An empirical analysis. Amer. Econom. Rev. 78(4):678–690.Google Scholar
• Bakshi N, Hosanagar K, den Bulte CV (2013) Chase and flight: New product diffusion with social attraction and repulsion. Working paper, London Business School, London.Google Scholar
• Balcer Y, Lippman SA (1984) Technological expectations and adoption of improved technology. J. Econom. Theory 34(2):292–318.Crossref, Google Scholar
• Bass FM (1969) A new product growth for model consumer durables. Management Sci. 15(5):215–227.Link, Google Scholar
• Bethuyne G (2002) The timing of technology adoption by a cost-minimizing firm. J. Econom. 76(2):123–154.Google Scholar
• Bhaskaran SR, Krishnan V (2009) Effort, revenue, and cost sharing mechanisms for collaborative new product development. Management Sci. 55(7):1152–1169.Link, Google Scholar
• Big Think (2015) Big idea: Technology grows exponentially. Accessed March 4, 2017, https://bigthink.com/think-tank/big-idea-technology-grows-exponentially.Google Scholar
• Brooks FP (1995) The Mythical Man-Month: Essays on Software Engineering, Anniversary Edition, 2/E (Pearson Education, Delhi, India).Google Scholar
• Candogan O, Bimpikis K, Ozdaglar A (2012) Optimal pricing in networks with externalities. Oper. Res. 60(4):883–905.Link, Google Scholar
• Chandler DL (2013) How to predict the progress of technology. Accessed March 4, 2017, http://news.mit.edu/2013/how-to-predict-the-progress-of-technology-0306.Google Scholar
• Cohen MA, Eliasberg J, Ho T-H (1996) New product development: The performance and time-to-market tradeoff. Management Sci. 42(2):173–186.Link, Google Scholar
• Cohen WM, Klepper S (1992) The anatomy of industry R&D intensity distributions. Amer. Econom. Rev. 82(4):773–799.Google Scholar
• Cohen WM, Klepper S (1996) A reprise of size and R&D. Econom. J. 106(437):925–951.Google Scholar
• Columbus L (2014) Where cloud computing is improving supply chain performance: Lessons learned from SCM world. Forbes (February 12), https://www.forbes.com/sites/louiscolumbus/2014/02/12/where-cloud-computing-is-improving-supply-chain-performance-lessons-learned-from-scm-world/#3ded6bb867d3.Google Scholar
• Dutta PK (1997) Optimal management of an R&D budget. J. Econom. Dynam. Control 21(2):575–602.Crossref, Google Scholar
• Farzin YH, Huisman KJ, Kort PM (1998) Optimal timing of technology adoption. J. Econom. Dynam. Control 22(5):779–799.Crossref, Google Scholar
• Friedman TL (2015) Moore’s law turns 50. New York Times (May 13), https://www.nytimes.com/2015/05/13/opinion/thomas-friedman-moores-law-turns-50.html.Google Scholar
• Graves SB, Langowitz NS (1993) Innovative productivity and returns to scale in the pharmaceutical industry. Strategic Management J. 14(8):593–605.Crossref, Google Scholar
• Graves SB, Langowitz NS (1996) R&D productivity: A global multi-industry comparison. Tech. Forecast. Soc. Change 53(2):125–137.Crossref, Google Scholar
• Grenadier SR, Weiss AM (1997) Investment in technological innovations: An option pricing approach. J. Financial Econom. 44(3):397–416.Crossref, Google Scholar
• Hackman JR, Coutu D (2009) Why teams don’t work. Interview by Diane Coutu. Harvard Bus. Rev. 87(5):98–105.Google Scholar
• Hartline J, Mirrokni V, Sundararajan M (2008) Optimal marketing strategies over social networks. Proc. 17th Internat. Conf. World Wide Web (ACM, New York), 189–198.Google Scholar
• Hill S, Provost F, Volinsky C (2006) Network-based marketing: Identifying likely adopters via consumer networks. Statist. Sci. 21(2):256–276.Crossref, Google Scholar
• HotSchedules (2017) iTunes preview—HotSchedules. Accessed March 1, 2017, https://itunes.apple.com/us/app/hotschedules/id294934058?mt=8.Google Scholar
• Huchzermeier A, Loch CH (2001) Project management under risk: Using the real options approach to evaluate flexibility in R&D. Management Sci. 47(1):85–101.Link, Google Scholar
• Jackson MO (2010) Social and Economic Networks (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Kempe D, Kleinberg J, Tardos É (2003) Maximizing the spread of influence through a social network. Proc. 9th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery, New York), 137–146.Crossref, Google Scholar
• Kempe D, Kleinberg J, Tardos É (2005) Influential nodes in a diffusion model for social networks. Automata, Languages and Programming (Springer, Berlin), 1127–1138.Crossref, Google Scholar
• Kimura M, Saito K (2006) Tractable models for information diffusion in social network. Knowledge Discovery Databases: PKDD 2006, Lecture Notes in Computer Science, vol. 4213 (Springer, Berlin), 259–271.Crossref, Google Scholar
• Klastorin T, Tsai W (2004) New product introduction: Timing, design, and pricing. Manufacturing Service Oper. Management 6(4):302–320.Link, Google 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.Link, Google Scholar
• Krishnan V, Ulrich KT (2001) Product development decisions: A review of the literature. Management Sci. 47(1):1–21.Link, Google Scholar
• Kruchten P (2004) The Rational Unified Process: An Introduction (Addison-Wesley Professional, Boston).Google Scholar
• Kumar S, Swaminathan JM (2003) Diffusion of innovations under supply constraints. Oper. Res. 51(6):866–879.Link, Google Scholar
• Kwon HD, Lippman SA, Tang CS (2010) Optimal time-based and cost-based coordinated project contracts with unobservable work rates. Internat. J. Production Econom. 126(2):247–254.Crossref, Google Scholar
• Liu H, Özer Ö (2009) Managing a product family under stochastic technological changes. Internat. J. Production Econom. 122(2):567–580.Crossref, Google Scholar
• Lobel I, Patel J, Vulcano G, Zhang J (2015) Optimizing product launches in the presence of strategic consumers. Management Sci. 62(6):1778–1799.Link, Google Scholar
• McCardle KF (1985) Information acquisition and the adoption of new technology. Management Sci. 31(11):1372–1389.Link, Google Scholar
• Özer Ö, Uncu O (2013) Competing on time: An integrated framework to optimize dynamic time-to-market and production decisions. Production Oper. Management 22(3):473–488.Crossref, Google Scholar
• Özer Ö, Uncu O (2015) Integrating dynamic time-to-market, pricing, production and sales channel decisions. Eur. J. Oper. Res. 242(2):487–500.Crossref, Google Scholar
• Quick Appointments (2016) Quick Appointments, Android. Accessed March 1, 2017, https://play.google.com/store/apps/details?id=com.nordic_tomato.drappointmentpro.Google Scholar
• Rahmani M, Ramachandran K (2017) Delegating innovation services. Working paper, Georgia Institute of Technology, Atlanta.Google Scholar
• Salas E, Tannenbaum S, Cohen D, Latham G (2013) Developing and Enhancing Teamwork in Organizations: Evidence-Based Best Practices and Guidelines, vol. 33 (John Wiley & Sons, Hoboken, NJ).Google Scholar
• Savin S, Terwiesch C (2005) Optimal product launch times in a duopoly: Balancing life-cycle revenues with product cost. Oper. Res. 53(1):26–47.Link, Google Scholar
• Shane SA, Ulrich KT (2004) 50th anniversary article: Technological innovation, product development, and entrepreneurship in Management Science. Management Sci. 50(2):133–144.Link, Google Scholar
• Sharif B, Khan SA, Bhatti MW (2012) Measuring the impact of changing requirements on software project cost: An empirical investigation. Internat. J. Comput. Sci. Issues 9(3):170–174.Google Scholar
• Shen W, Duenyas I, Kapuscinski R (2011) New product diffusion decisions under supply constraints. Management Sci. 57(10):1802–1810.Link, Google Scholar
• Shields A (2014) Must-know: Enterprise resource planning. Accessed November 15, 2015, https://marketrealist.com/2014/07/must-know-enterprise-resource-planning/.Google Scholar
• Smith JE, Ulu C (2012) Technology adoption with uncertain future costs and quality. Oper. Res. 60(2):262–274.Link, Google Scholar
• Tan T (2012) Domain-based effort distribution model for software cost estimation. Unpublished doctoral dissertation, Department of Computer Science, University of Southern California, Los Angeles.Google Scholar
• Viticci F (2011) Eavesdrop: Share your iOS music library over WiFi & Bluetooth. MacStories (blog) (March 27), https://www.macstories.net/reviews/eavesdrop-share-your-ios-music-library-over-wifi-bluetooth/.Google Scholar