Service Quality Variability and Termination Behavior

Published Online:https://doi.org/10.1287/mnsc.2014.2105

References

  • Bolton RN, Lemon KN, Bramlett MD (2006) The effect of service experiences over time on a supplier’s retention of business customers. Managament Sci. 52(12):1811–1823.LinkGoogle Scholar
  • Chan T, Hamilton B (2006) Learning, private information, and the economic evaluation of randomized experiments. J. Political Econom. 47(6):997–1040.CrossrefGoogle Scholar
  • Ching A (2010) Consumer learning and heterogeneity: Dynamics of demand for prescription drugs after patent expiration. Internat. J. Indust. Organ. 28(6):619–638.CrossrefGoogle Scholar
  • Ching A, Erdem T, Keane M (2013) Learning models: An assessment of progress, challenges, and new developments. Marketing Sci. 32(6):913–938.LinkGoogle Scholar
  • Ching A, Ishihara M (2010) The effects of detailing on prescription decisions under quality uncertainty. Quant. Marketing Econom. 8(2):123–165.CrossrefGoogle Scholar
  • Coscelli A, Shum M (2004) An empirical model of learning and patient spillovers in new drug entry. J. Econometrics 122(4):213–246.CrossrefGoogle Scholar
  • Crawford G, Shum M (2005) Uncertainty and learning in pharmaceutical demand. Econometrica 73(4):1137–1173.CrossrefGoogle Scholar
  • Dayton MC, Macready GB (1988) Concomitant-variable latent-class models. J. Amer. Statist. Assoc. 83(401):173–178.CrossrefGoogle Scholar
  • Erdem T, Keane M (1996) Decision making under uncertainty: Capturing dynamic brand choice processes in turbulent consumer goods markets. Marketing Sci. 15(3):1–20.LinkGoogle Scholar
  • Gelman A, Carlin J, Stern HS, Rubin DB (2000) Bayesian Data Analysis (Chapman and Hall, Boca Raton, FL).Google Scholar
  • Grubb MD, Osborne M (2015) Cellular service demand: Biased beliefs, learning, and bill shock. Amer. Econom. Rev. 105(1):234–271.CrossrefGoogle Scholar
  • Gupta S, Chintagunta PK (1994) On using demographic variables to determine segment membership in logit mixture models. J. Marketing Res. 31(1):128–136.CrossrefGoogle Scholar
  • Hitsch G (2006) An empirical model of optimal dynamic product launch and exit under demand uncertainty. Marketing Sci. 25(1):25–50.LinkGoogle Scholar
  • Kannan PK, Proenca J (2010) Design of service systems under variability: Research issues. Inform. Systems E-Business Management 8(1):1–11.CrossrefGoogle Scholar
  • Knutson R (2013) Video boom forces Verizon to upgrade network. Wall Street Journal (December 15), http://www.wsj.com/articles/SB10001424052702304173704579260354018157042.Google Scholar
  • Lin S, Zhang J, Hauser JR (2015) Learning from experience, simply. Marketing Sci. 34(1):1–19.LinkGoogle 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
  • Meyer R (1981) A model of multiattribure judgments under attribute uncertainty and information constraint. J. Marketing Res. 18(4):428–441.CrossrefGoogle Scholar
  • Nam S, Manchanda P, Chintagunta P (2010) The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Sci. 29(4):690–700.LinkGoogle Scholar
  • Narayanan S, Manchanda P, Chintagunta P (2005) Temporal differences in the role of marketing communication in new product categories. J. Marketing Res. 42(3):278–290.CrossrefGoogle Scholar
  • Parasuraman A, Zeithaml VA, Berry LL (1985) A conceptual model of service quality and its implications for future research. J. Marketing 49(4):41–50.CrossrefGoogle Scholar
  • Parasuraman A, Zeithaml VA, Berry LL (1988) SERVQUAL: A multiple-item scale for measuring customer perceptions of service quality. J. Retailing 64(1):12–40.Google Scholar
  • Pleskac T (2008) Decision-making and learning while taking sequential risks. Experiment. Psych. 34(1):167–185.Google Scholar
  • Rust R, Inman J, Jia J, Zahorik A (1999) What you don’t know about customer-perceived quality: The role of customer expectation distributions. Marketing Sci. 18(1):77–92.LinkGoogle Scholar
  • Sun M (2012) How does the variance of product ratings matter? Management Sci. 58(4):696–707.LinkGoogle Scholar
  • Zeithaml VA (1981) How consumer evaluation processes differ between goods and services. Donnelly JH, George WR, eds. Marketing of Services (American Marketing Association, Chicago), 186–190.Google 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
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