عنوان

Likelihood to Recommend (L2R) Prediction Using Quality of Experience (QoE) Measurements:

Number

TLpq2323127622

.Language of Text, Soundtrack etc

انگلیسی

Title Proper

Likelihood to Recommend (L2R) Prediction Using Quality of Experience (QoE) Measurements:

General Material Designation

[Thesis]

First Statement of Responsibility

Azad-Armaki, Mohammad-Amin

Title Proper by Another Author

A Longitudinal Study

Subsequent Statement of Responsibility

Chignell, Mark

Name of Publisher, Distributor, etc.

University of Toronto (Canada)

Date of Publication, Distribution, etc.

2019

Specific Material Designation and Extent of Item

88

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

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.

Business education

Industrial engineering

Psychology

Azad-Armaki, Mohammad-Amin

Chignell, Mark

Electronic name

p

[Thesis]

276903

a

Y