International Tourists' Satisfaction with Tour Guide's Service Quality at Babylon Archaeological Site
Bibliographic record
Abstract
This study is an initial attempt to explore the Iraqi government's role in expanding its foreign inbound tourism.Therefore, the current study investigates the factors affecting the tour guides' service quality and their impact on tourists' satisfaction.Four characteristics of tour guides were identified.These factors include behaviour; personal integrity, employment; safety and security at visiting places.In addition, five service quality attributes were considered in this study including dependability, empathy, tangibility, assurance, and responsiveness.This study also tested the tourism policy impact on satisfaction.The study's questionnaires were distributed to 536 international tourists at Babylon archaeological site.Among the 536 distributed questionnaires, only 315 responses were usable for analysis.The cross-sectional data has been applied over considered techniques, as the cross-sectional data helped in making a significant formation in terms of customer choices, customer satisfaction, and the building of relationships with each other for such places as Babylon.Based on the current findings, positive relationships were found between the tour guide attributes, service quality factors, and tourists satisfaction.Overall, this theoretical paper says that the tourism department should use the dimension model and that service providers should improve their management to increase tourist satisfaction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".