This research investigates the process that underlies consumer decisions to abandon waits for service. The work centers on a hypothesis that stay-or-renege decisions reflect a process that blends two opposing psychic forces: escalating displeasure with waiting versus an escalating commitment to a wait that has been initiated. The consequence is a predicted tendency that abandonments are most likely near the midpoint of waits, which is suboptimal for many waiting time distributions. This study tests the hypothesis using data from three laboratory experiments in which participants play a time-management game that involves waiting for downloads from different computer servers, as well as field data about hang-ups in an emergency call center in India. The data lend support to the proposed competing hazards model and show that the trade-off between desires to abandon and persist is moderated by contextual factors, such as the initial number of alternative queues and the amount of distracting activity engaged in during a wait.
AllisonP. (1995), Survival Analysis Using the SAS System: A Practical Guide.Cary, NC: SAS Institute.
2.
CarmonZiv, and KahnemanDaniel (1995), “The Experienced Utility of Queuing: Real-Time Affect and Retrospective Evaluations of Simulated Queues,” working paper, Fuqua School of Business, Duke University.
3.
CarmonZiv K. Wertenbroch, and ZeelenbergM. (2003), “Option Attachment: When Deliberating Makes Choosing Feel Like Losing,”Journal of Consumer Research, 30 (1), 15–29.
4.
CheemaAmar, and BagchiRajesh (2011), “Goal Visualization and Goal Pursuit: Implications for Consumers and Managers,”Journal of Marketing, 75 (March), 109–123.
5.
DenuitMichel, and GenestChristian (2001), “An Extension of Osuna's Model for Stress Caused by Waiting,”Journal of Mathematical Psychology, 45 (1), 115–30.
DrezeXavier, and NunesJ. (2006), “The Endowed Progress Effect: How Artificial Advancement Increases Effort,”Journal of Consumer Research, 32 (4), 504–512.
8.
FylstraD., LasdonL., WatsonJ., and WarrenA (1998), “Design and Use of the Microsoft Excel Solver,”Interfaces, 28 (5), 29–55.
9.
GigeranzerGerd, HertwigRalph, and PachurThorsteb (2011), Heuristics: The Foundations of Adaptive Behavior.New York: Oxford University Press.
10.
HullC.L. (1932), “The Goal-Gradient Hypothesis and Maze Learning,”Psychological Review, 39 (1), 25–43.
11.
KahnemanDaniel, and TverskyAmos (1979), “Prospect Theory: An Analysis of Decision Making Under Risk,”Econometrica, 47 (March), 263–92.
12.
KeeneyR., and RaiffaH. (1976), Decisions with Multiple Objectives: Preferences and Value Tradeoffs.New York: John Wiley & Sons.
13.
KeinanGiora (1987), “Decision-Making Under Stress: Scanning Alternatives Under Controllable and Uncontrollable Threats,”Journal of Personality and Social Psychology, 52 (3), 639–44.
14.
KivetzRan, UrminskyOleg, and ZhengYuhuang (2006), “The Goal-Gradient Hypothesis Resurrected: Purchase Acceleration, Illusory Goal Progress, and Customer Retention,”Journal of Marketing Research, 43 (February), 39–58.
15.
LaibsonDavid (1997), “Golden Eggs and Hyperbolic Discounting,”Quarterly Journal of Economics, 112 (2), 443–77.
16.
LoewensteinGeorge, and PrelecDrazen (1992), “Anomalies in Intertemporal Choice: Evidence and an Interpretation,”Quarterly Journal of Economics, 107 (2), 573–98.
17.
LuceMary Frances, JohnW. Payne, and JamesR. Bettman (1999), “Emotional Trade-Off Difficulty and Choice,”Journal of Marketing Research, 36 (May), 143–59.
18.
MaisterDavid (1985), “The Psychology of Waiting Lines,” in The Service Encounter, CzepielJohn, MichaelR. Solomon, and SuprenantCarol, eds. Lexington, MA: D.C. Heath and Company, [available at http://davidmaister.eom/articles/5/52/].
19.
MandelbaumAvishai, and ShimkinNahum (2000), “A Model for Rational Abandonment from Invisible Queues,”Queuing Systems: Theory and Applications, 36 (1), 141–73.
20.
MillerE.G., KahnBarbara, and LuceMary Frances (2008), “Consumer Wait Management Strategies for Negative Service Events: A Coping Approach,”Journal of Consumer Research, 34 (5), 635–48.
21.
OsunaEdgar E. (1985), “The Psychological Cost of Waiting,”Journal of Mathematical Psychology, 29 (1), 82–105.
22.
ShimkinNahum, and MandelbaumAvishai (2002), “Rational Abandonment from Tele-Queues: Nonlinear Waiting Costs with Heterogeneous Preferences,”Queuing Systems, 47 (1), 1–30.
23.
SomanDilip (2003), “Prospective and Retrospective Evaluations of Experiences: How You Evaluate an Experience Depends on When You Evaluate It,”Journal of Behavioral Decision Making, 16 (1), 35–52.
24.
SomanDilip, and ShiM. (2003), “Virtual Progress: The Effect of Path Characteristics on Perceptions of Progress and Choice Behavior,”Management Science, 49 (September), 1229–50.
25.
TaylorShirley (1994), “Waiting for Service: The Relationships Between Delays and Evaluations of Service,”Journal of Marketing, 58 (April), 56–69.
26.
ZakayD. (1993), The Impact of Time Perception Processes on Decision Making Under Time Stress,” in Time Pressure and Stress in Human Judgment and Decision Making, SvensonOve, and MauleJ.A., eds. New York: Plenum, 59–72.
27.
ZegerScott L., and LiangKung-Yee (1986), “Longitudinal Data Analysis for Discrete and Continuous Outcomes,”Biometrics, 42 (1), 121–30.
28.
ZoharEty, MandelbaumAvishai, and ShimkinNahum (2002), “Adaptive Behavior of Impatient Customers in Tele-Queues: Theory and Empirical Support,”Management Science, 48 (4), 566–83.
