Abstract

While call centers have recently invested in callback technology, the impact of this innovation on caller behavior and call center performance is not clearly understood. Using call center data from a US commercial bank, we perform an empirical study of the callers' decision-making process in the presence of a callback option. We formulate a structural model of the caller decision-making process, and impute their underlying preferences from the data. Our estimates show that callers experience substantially less discomfort per unit of time while waiting for callbacks than while waiting in queue. However, we also find that, after controlling for expected waiting times, callers generally prefer actively waiting in queue over accepting a callback and waiting offline. Using the estimates of our model, we are able to conduct counterfactual analyses of how various callback policies affect the performance of this call center. This helps managers to gauge different callback policies against each other to find the most effective policy before implementing it. Our counterfactual analyses show that offering to hold the callers' spot in line or to call back within a short window improves service quality by decreasing callers' average incurred waiting cost. Moreover, we find that offering callbacks as a demand postponement strategy during periods of temporary congestion substantially increases service quality and system throughput.

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