Siva Shankar Ramasamy
Biographic Data
| ID | 6295084 |
|---|---|
| NAME | Siva Shankar Ramasamy |
| GIVEN NAMES | Siva Shankar |
| FAMILY NAME | Ramasamy |
| SIGNATURE | RAMASAMY S S |
| AFFILIATIONS | Chiang Mai University |
| ORCID | 0000-0002-6160-5949 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Understanding cross-cultural destination perceptions through key attraction factors
Understanding the behavior and satisfaction of tourists is crucial for maintaining the quality of tourism experiences and improving local products and services. However, existing methods for extracting semantic information and sentiment have limitations. This paper proposes a novel approach to extract topics and sentiments from comments on a Chinese social media platform. This method combines hybrid topic extraction and dynamic sentiment analysis…
Development and TAM-Based Validation of a User Experience Scale for Actual System Use in Online Courses
This study aims to develop and validate a user experience scale to construct an Actual System Use model for online courses based on the Technology Acceptance Model, allowing for a comprehensive assessment of the multidimensional factors affecting Learning Outcomes and Actual System Use in the context of online courses. The scale includes six core dimensions: Interactive Experience, Content Quality, Learning Outcomes, Teaching Quality, Technical S…
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Development and TAM-Based Validation of a User Experience Scale for Actual System Use in Online Courses
This study aims to develop and validate a user experience scale to construct an Actual System Use model for online courses based on the Technology Acceptance Model, allowing for a comprehensive assessment of the multidimensional factors affecting Learning Outcomes and Actual System Use in the context of online courses. The scale includes six core dimensions: Interactive Experience, Content Quality, Learning Outcomes, Teaching Quality, Technical S…
Understanding cross-cultural destination perceptions through key attraction factors
Understanding the behavior and satisfaction of tourists is crucial for maintaining the quality of tourism experiences and improving local products and services. However, existing methods for extracting semantic information and sentiment have limitations. This paper proposes a novel approach to extract topics and sentiments from comments on a Chinese social media platform. This method combines hybrid topic extraction and dynamic sentiment analysis…
Attraction (1 works) · Computer Science (1 works) · Culinary Culture and Tourism (1 works) · Destinations (1 works) · Diverse Aspects of Tourism Research (1 works) · Health Education and Validation (1 works) · Human–computer interaction (1 works) · Key (lock (1 works) · Perception (1 works) · Religious Tourism and Spaces (1 works)