A queuing theory-based approach to evaluate service delivery quality

Purpose Service delivery delay and how customers perceive their waits influence their service evaluation regarding quality and satisfaction. This paper aims to apply a queuing theory-based approach to estimate the quality of service delivery and explores delay reduction in service delivery. Design/methodology/approach This paper integrates the expectancy-disconfirmation paradigm and queuing theory to characterize service delivery quality in the time dimension. Discrete event simulation experiments are conducted to validate the accuracy of the models. Findings This paper presents evidence-based guidelines for evaluating service delivery quality regarding wait time. The novel queuing theory-based model can be used to assess service delivery time at a chosen service level. Research limitations/implications The analytical models provide insights into developing strategies to reduce service delivery delays. The service delivery metrics are restricted in time. The research can be extended to evaluate service delivery time in multi-stage services. Practical implications The explicit queuing models formula can be implemented in parameterized experiments to perform what-if analysis, aiding managers in selecting appropriate service levels. Originality/value This paper proposes a composite measure to evaluate the service quality within the wait experience. The queuing models present a practical yet rigorous approach to estimating service delivery time.

Authors

Institutions

Publication Details

Journal
International Journal of Quality and Service Sciences
Published
2025-03-18
DOI
https://doi.org/10.1108/ijqss-10-2024-0149
Citations
4
Primary Topic
Customer Service Quality and Loyalty
Type
article
Field-Weighted Citation Impact
11.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A queuing theory-based approach to evaluate service delivery quality

Kenneth Gilbert, Xiaofeng Zhao
4 citations
International Journal of Quality and Service Sciences
Customer Service Quality and Loyalty
11.05
article

A queuing theory-based approach to evaluate service delivery quality

Kenneth Gilbert, Xiaofeng Zhao
article en
4 citations

Abstract

Purpose Service delivery delay and how customers perceive their waits influence their service evaluation regarding quality and satisfaction. This paper aims to apply a queuing theory-based approach to estimate the quality of service delivery and explores delay reduction in service delivery. Design/methodology/approach This paper integrates the expectancy-disconfirmation paradigm and queuing theory to characterize service delivery quality in the time dimension. Discrete event simulation experiments are conducted to validate the accuracy of the models. Findings This paper presents evidence-based guidelines for evaluating service delivery quality regarding wait time. The novel queuing theory-based model can be used to assess service delivery time at a chosen service level. Research limitations/implications The analytical models provide insights into developing strategies to reduce service delivery delays. The service delivery metrics are restricted in time. The research can be extended to evaluate service delivery time in multi-stage services. Practical implications The explicit queuing models formula can be implemented in parameterized experiments to perform what-if analysis, aiding managers in selecting appropriate service levels. Originality/value This paper proposes a composite measure to evaluate the service quality within the wait experience. The queuing models present a practical yet rigorous approach to estimating service delivery time.

International Journal of Quality and Service SciencesVol. 17(2)
University of Mary Washington (US), Knoxville College (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 2%
Customer Service Quality and Loyalty
11.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.