Peak Event Self-Scheduling: Implications for Service Demand Management

Services are often segmented into discrete events, allowing customers to self-schedule their own itinerary. We term this behavior as self-scheduling . We theorize that customers self-schedule peak events—those they predict will be their most salient—at predictable points, primarily for the bookends (i.e., at the beginning or the end). This behavior can create demand fluctuations and pose challenges for demand management. To examine this phenomenon, we conducted two exploratory studies. First, a survey using a tour context revealed a preference for self-scheduling the peak event at the beginning. A more balanced distribution between bookends emerged when information promoting the peak event was provided. Second, wait-time data from three major theme parks in the United States was collected during the summer of 2024 and validated that customers predominantly self-schedule peak events for the beginning. Next, we hypothesized how information provision may influence customers’ self-scheduling behavior of a peak event. A scenario-based experiment and a conjoint study in a theme park context found that practices enhancing perceived control (i.e., wayfinding and wait line management information) effectively shifted some of the demand from the beginning to later in a visit. We discuss insights to support demand management in self-scheduling service contexts.

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Publication Details

Journal
Journal of Service Research
Published
2025-08-11
DOI
https://doi.org/10.1177/10946705251354968
Primary Topic
Consumer Retail Behavior Studies
Type
article
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article

Peak Event Self-Scheduling: Implications for Service Demand Management

Michael J. Dixon, Liana Victorino
Journal of Service Research
Consumer Retail Behavior Studies
article

Peak Event Self-Scheduling: Implications for Service Demand Management

Michael J. Dixon, Liana Victorino
article en

Abstract

Services are often segmented into discrete events, allowing customers to self-schedule their own itinerary. We term this behavior as self-scheduling . We theorize that customers self-schedule peak events—those they predict will be their most salient—at predictable points, primarily for the bookends (i.e., at the beginning or the end). This behavior can create demand fluctuations and pose challenges for demand management. To examine this phenomenon, we conducted two exploratory studies. First, a survey using a tour context revealed a preference for self-scheduling the peak event at the beginning. A more balanced distribution between bookends emerged when information promoting the peak event was provided. Second, wait-time data from three major theme parks in the United States was collected during the summer of 2024 and validated that customers predominantly self-schedule peak events for the beginning. Next, we hypothesized how information provision may influence customers’ self-scheduling behavior of a peak event. A scenario-based experiment and a conjoint study in a theme park context found that practices enhancing perceived control (i.e., wayfinding and wait line management information) effectively shifted some of the demand from the beginning to later in a visit. We discuss insights to support demand management in self-scheduling service contexts.

Journal of Service Research
Utah State University (US), Huntsman (United States) (US), University of Victoria (CA)
Openalex Percentile: Top 73%
Consumer Retail Behavior Studies
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Peak Event Self-Scheduling: Implications for Service Demand Management — Michael J. Dixon, Liana Victorino · Journal of Service Research (2025) | TGRS Research Map | TGRS