KDV PRASAD's dataset supports the study 'From Destination Image to Digital Advocacy: A Cognition–Affect–Involvement Model of Tourists’ eWOM Intentions'. It contains empirical data from 630 domestic tourists across major destinations in India, used to develop and validate a psychological model of electronic word-of-mouth generation. The dataset was last updated on 2026-04 16 and is available under a CC-BY-4.0 license.
Use Cases
- Validate structural equation models based on cognitive, affective, and engagement variables mentioned in the description.
- Analyze the relationship between destination image and digital advocacy intentions based on survey constructs.
- Study the psychological mechanisms of electronic word-of-mouth (eWOM) generation in a tourism context.
Strengths
- Dataset size is 134.3 KB, indicating a compact and likely focused survey dataset.
- Data is derived from a sample of 630 domestic tourists, providing a specific empirical base.
- The study employs structural equation modeling, suggesting the data is structured for causal analysis.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Data may reflect geographic bias inherent to the sample being from major Indian destinations.
Provenance
- Source
- KDV PRASAD via figshare.
- Collection Method
- Empirical survey data collected from domestic tourists.
- Time Range
- null
- Freshness
- Last updated 2026-04-16 05:02:02; freshness should be verified.
- Geography
- Major destinations in India.