Determinants of experienced tourists’ satisfaction and actual spending behavior: a PLS path modelling approach
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the impact of customer perceived relationship marketing (CPRM), service quality and brand experience on tourists’ satisfaction and actual spending behavior in the emerging hospitality industry in Iran. Design/methodology/approach A total of 308 valid questionnaires were collected to empirically evaluate the measurement and structural model using the PLS path modelling approach, a variance-based structural equation modelling (VB-SEM) technique. Findings The results support the causal relationships that exist between the exogenous and endogenous constructs. Furthermore, three other factors were found to be second-order constructs: brand experience (reflective-reflective) comprising of sensory, affective, behavioural and intellectual; service quality (reflective-reflective) comprising of tangibility, reliability, responsiveness, assurance and empathy; and actual spending behaviour (reflective-reflective) comprising of dining frequency and dining expenditure. Originality/value Current literature has commonly investigated the attitude, satisfaction and behaviour of a traveller’s intentions; however, limited research has examined an experienced tourist’s actual spending behaviour in an emerging hospitality industry environment, such as Iran.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".