Likelihood to Recommend (L2R) Prediction Using Quality of Experience (QoE) Measurements: A Longitudinal Study
General Material Designation
[Thesis]
First Statement of Responsibility
Azad-Armaki, Mohammad-Amin
Subsequent Statement of Responsibility
Chignell, Mark
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
University of Toronto (Canada)
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
88 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.A.S.
Body granting the degree
University of Toronto (Canada)
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
Models that predict satisfaction with a service over time need to consider the impact of emotions and remembered quality of experience in predicting overall attitudes towards a service. However, prior research on the subjective of quality of experience has typically focused on experiments conducted in a single session or over a short period of time. Thus, there is a gap between our understanding of instantaneous quality of experience and long-term judgments, such as overall satisfaction, and likelihood to recommend and likelihood to churn. The goal of the study reported here was to carry out a longitudinal study that would provide initial insights into how experiences of service quality over time are accumulated into memories that then drive longer term attitudes about the service. Our longitudinal study was carried out over a period of roughly 4 weeks with around 3 sessions per week.