A Dynamic Model of Player Level-Progression Decisions in Online Gaming

Published Online:https://doi.org/10.1287/mnsc.2021.4255

References

  • Albuquerque P, Nevskaya Y (2012) The impact of innovation on product usage: A dynamic model with progression in content consumption. Preprint, submitted June 24, https://dx.doi.org/10.2139/ssrn.1960020.Google Scholar
  • Arrow K (1962) The economic implications of learning by doing. Rev. Econom. Stud. 29(3):155–173.CrossrefGoogle Scholar
  • Bernoulli D (1954) Exposition of a new theory on the measurement of risk. Econometrica 22(1):22–36.CrossrefGoogle Scholar
  • Billeter D, Kalra A, Loewenstein G (2011) Underpredicting learning after initial experience with a product. J. Consumer Res. 37(5):723–736.CrossrefGoogle Scholar
  • Brown JD, Collins RL, Schmidt GW (1988) Self-esteem and direct versus indirect forms of self enhancement. J. Personality Soc. Psych. 55(3):445–453.CrossrefGoogle Scholar
  • Buehler R, Griffin D, Ross M (1994) Exploring the “planning fallacy”: Why people underestimate their task completion times. J. Personality Soc. Psych. 67(3):366–381.CrossrefGoogle Scholar
  • Camerer C, Lovallo D (1999) Overconfidence and excess entry: An experimental approach. Amer. Econom. Rev. 89(1):306–318.CrossrefGoogle Scholar
  • Chan T, Li J, Pierce L (2014) Learning from peers: Knowledge transfer and sales force productivity growth. Marketing Sci. 33(4):463–484.LinkGoogle Scholar
  • Ching AT, Ishihara M (2012) Measuring the informative and persuasive roles of detailing on prescribing decisions. Management Sci. 58(7):1374–1387.LinkGoogle Scholar
  • Ching AT, Erdem T, Keane M (2013) Learning models: An assessment of progress, challenges and new developments. Marketing Sci. 32(6):913–938.LinkGoogle Scholar
  • Chintagunta PK, Jiang R, Jin GZ (2009) Information, learning, and drug diffusion: The case of Cox-2 inhibitors. Quant. Marketing Econom. 7(4):399–443.CrossrefGoogle Scholar
  • Chylinski MB, Roberts JH, Hardie BG (2012) Consumer learning of new binary attribute importance accounting for priors, bias, and order effects. Marketing Sci. 31(4):549–566.LinkGoogle Scholar
  • Erdem T, Keane MP (1996) Decision-making under uncertainty: Capturing choice dynamics in turbulent consumer goods markets. Marketing Sci. 15(1):1–20.LinkGoogle Scholar
  • Folkes V (1988) Recent attribution research in consumer behavior: A review and new directions. J. Consumer Res. 14(4):548–565.CrossrefGoogle Scholar
  • Hartmann W (2006) Intertemporal effects of consumption and their implications for demand elasticity estimates. Quant. Marketing Econom. 4(4):325–349.CrossrefGoogle Scholar
  • Hirshleifer D, Luo GY (2001) On the survival of overconfident traders in a competitive securities market. J. Financial Marketing 4(1):73–84.CrossrefGoogle Scholar
  • Huang Y, Jasin S, Manchanda P (2019) “Level up”: Leveraging skill and engagement to maximize player retention in online video games. Inform. Systems Res. 30(3):927–947.LinkGoogle Scholar
  • Ishihara M, Ching A (2019) Dynamic demand for new and used durable goods without physical depreciation: The case of Japanese video games. Marketing Sci. 38(3):392–416.Google Scholar
  • Kamakura WA, Russell GJ (1989) A probabilistic choice model for market segmentation and elasticity structure. J. Marketing Res. 26(4):379–390.CrossrefGoogle Scholar
  • Kim Y-H, Kwon H, Lee J, Chiu C-Y (2016) Why do people overestimate or underestimate their abilities? A cross-culturally valid model of cognitive and motivational processes in self-assessment biases. J. Cross Cultural Psych. 47(9):1201–1216.CrossrefGoogle Scholar
  • Kruglanski AW, Webster DM (1996) Motivated closing of the mind: “Seizing” and “freezing.” Psych. Rev. 103(2):263–283.CrossrefGoogle Scholar
  • Langer EJ (1975) The illusion of control. J. Personality Soc. Psych. 32(2):311–328.CrossrefGoogle Scholar
  • Lee C, Kumar V, Gupta S (2014) Designing freemium: A model of consumer usage, upgrade, and referral dynamics. Working paper, Cornell University, Ithaca, NY.Google Scholar
  • Libby R, Rennekamp K (2012) Self-serving attribution bias, overconfidence, and the issuance of management forecasts. J. Accounting Res. 50(1):197–230.CrossrefGoogle Scholar
  • Mehta N, Rajiv S, Srinivasan K (2004) Role of forgetting in memory-based choice decisions: A Structural model. Quant. Marketing Econom. 2(2):107–140.CrossrefGoogle Scholar
  • Nevskaya Y, Albuquerque P (2019) How should firms manage excessive product use? A continuous-time demand model to test reward schedules, notifications, and time limits. J. Marketing Res. 56(3):379–400.CrossrefGoogle Scholar
  • Oskamp S (1965) Overconfidence in case-study judgments. J. Consulting Psych. 29(3):261–265.CrossrefGoogle Scholar
  • Rust J (1988) Maximum likelihood estimation of discrete control processes. SIAM J. Control Optim. 26(5):1006–1024.CrossrefGoogle Scholar
  • Taylor SE, Brown JD (1988) Illusion and well-being: A social psychological perspective on mental health. Psych. Bull. 103(2):193–210.CrossrefGoogle Scholar
  • Weinstein ND (1989) Optimistic biases about personal risks. Sci. 246(4935):1232–1233.CrossrefGoogle Scholar
  • Zauberman G, Lynch JG Jr (2005) Resource slack and propensity to discount delayed investments of time versus money. J. Experiment. Psych. General 134(1):23–37.CrossrefGoogle Scholar
  • Zhao Y, Zhao Y, Helsen K (2011) Consumer learning in a turbulent market environment: Modeling consumer choice dynamics after a product harm crisis. J. Marketing Res. 48(2):255–267.CrossrefGoogle Scholar
  • Zhao Y, Yang S, Narayan V, Zhao Y (2013) Modeling consumer learning from online product reviews. Marketing Sci. 32(1):153–169.LinkGoogle Scholar
  • Zuckerman M (1994) Behavioral Expression and Biosocial Bases of Sensation Seeking (Cambridge University Press, New York).Google Scholar
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