The Reference Effect of Delay Announcements: A Field Experiment

Qiuping Yu (), Gad Allon () and Achal Bassamboo ()
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Qiuping Yu: Scheller College of Business, Georgia Institute of Technology, Atlanta, Georgia 30308
Gad Allon: The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104
Achal Bassamboo: Kellogg School of Management, Northwestern University, Evanston, Illinois 60208

Management Science, 2021, vol. 67, issue 12, 7417-7437

Abstract: We explore whether customers are loss averse in time and how delay information may impact such reference-dependent behavior using observational and field experiment data from two call centers of an Israeli bank. We consider settings with no announcements and announcements of different accuracy levels. We face two key challenges: (1) we do not observe the reference points customers use in our data, as any other field studies, and (2) it is difficult to separate the reference-dependent behavior from the potential nonlinear waiting cost of customers. To address these challenges, we develop a dynamic decision model with consumer learning, through which we infer the reference point each customer used during any given call. The reference points may be different across different customers and evolve across different calls of the same customers. We also exclude the alternative explanation by showing that our main reference-dependent models better explain the observed customer abandonment than models where customers have nonlinear waiting cost. Our results indicate that customers are loss averse regardless of the availability or accuracy of the announcements when their waiting time is relatively long (≥ 90 s ). Although delay announcements do not alter the nature that customers are loss averse, accurate announcements may affect customers’ belief about the offered waiting time and thus, impact the reference points. Through counterfactual studies, we demonstrate that providing delay announcements improves the call center performance given the loss aversion behavior observed in our data. Interestingly, as customers become more loss averse, the value of providing delay announcements decreases.

Keywords: loss aversion in time; delay announcements; virtual queues; structural estimation; field experiment (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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