Word of Mouth Communication Influence of Online Hotel Room Reservation Confirmation: Case Study of Individual Travelers in Hong Kong
Bibliographic record
Abstract
Hong Kong residents tend to spend their holidays by traveling overseas; hence, they reserve hotels online. Moreover, low-cost carriers have become popular and common, thereby resulting in an increase in the number of individual travelers. Accordingly, the online hotel industry can no longer ignore the potential segment of individual travelers. In addition, word of mouth (WOM) is significant in the decision-making process because of the development of Web 2.0. and Travel 3.0. Furthermore, previous studies were analyzed and only a few focus on the individual traveler perspectives on purchasing hotel reservations online. However, individual travelers have different culture and values compared with the public; the former has its own lifestyle, consumer behavior, and ego. Therefore, the investigation of individual travelers when purchasing hotel reservations online is a valuable research topic. Under all situations, WOM has become one of the crucial factors upon which individual travelers base their travel planning and decision. This study used the interpretivist approach to investigate the respondents’ experiences and views for exploring and understanding individual traveler’s perception. The current study adopted qualitative research toward the effects of WOM communication on purchasing hotel reservations online. To investigate the topic, in-depth interviews were conducted on 15 respondents who are individual travelers and travel alone. The interviews followed a semi-structured format using open-ended questions. Descriptive research was designed to gather the findings. In addition, this study provided the effects of WOM communication on purchasing hotel reservations online from the perspective of an individual traveler. New findings, effects of WOM from an individual traveler’s perspective, and recommendations are provided, thereby providing significant guidance to industrial practitioners to improve and formulate marketing strategies.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.004 | 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".