Automated Author ProfileNongnapat Maneekam
Nongnapat Maneekam
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.4 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The trend of travel in secondary cities is growing among Thai people especially Generation Y. This trend is a result of the campaigns of the Tourism Authority of Thailand (TAT) cam which is targets Thai Generation Y. With their purchasing power, the accommodation in the secondary cities has been significantly grown and expanded to support the demand of this group. This study aims to understand customers’ behaviors and influencing factors towards booking accommodations in the secondary cities of Thailand by using the five-stage model of the buying decision process. The result shows that most of Generation Y search and book for accommodation in secondary cities via online travel agency e.g. Agoda, Booking, Traveloka, etc. On the evaluation of the alternative stage, the attributes that Generation Y focuses on are cleanliness, location, and the picture of the accommodation. For the influence factor that impacts Generation Y in making a decision is the review from the previous customer, rating score and review from acquaintances
Authors
- Nongnapat Maneekam