Data · dataset · 2010
A Comparative Study of Measurement Approaches of Service Quality for Travel Websites
Listed in Harvard Dataverse
Measurement of service quality is of importance to the researchers and practitioners in the field of Recreation, Tourism and Travel.
Description
Although SERVQUAL has been the most dominant measurement tool for evaluation of service quality, other evaluation models, including SERVPERF (Cronin & Taylor, 1992) and Non-difference score (NDS) (Brown、Churchill & Peter, 1993), have been developed to challenge the feasibility of SERVQUAL.
Based on the empirical results, these researchers claimed that their proposed models were superior to SERVQUAL. An interesting research question is raised to wait for responses: which model is the best one? To date, there are few studies to be conducted to compare these alternative service quality measurement frameworks.
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In this study, the conceptual and operational issues of service quality model have been examined. In addition, the effects on the data collection of the measurement tools have been investigated. Based on a well-developed e-travel service quality scale by the author as the skeleton of the tool, the three alternative measurement models have been formulated to test the validity, reliability and forecasting ability using a large-scale empirical data provided from the on-line surveys.
The strength and weakness of these models have been identified. Based on the empirical analyses, SERVPERF is superior to the other two measurement tools in terms of reliability, construct validity, convergent validity and nomological validity.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E93019-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e93019-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Tourism 73%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E93019-1 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3508 | enrichment · Harvard Dataverse | taxonomy-embedding@1.1.0 | title+keywords+description (73%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |