Mathupayas Thongmak
Biographic Data
| ID | 6195759 |
|---|---|
| NAME | Mathupayas Thongmak |
| GIVEN NAMES | Mathupayas |
| FAMILY NAME | Thongmak |
| SIGNATURE | THONGMAK M |
| AFFILIATIONS | Thammasat University |
| ORCID | 0000-0001-9064-2071 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Social media horsepower
Purpose – This research aims to look at the effects of content and emotions on X (formerly known as Twitter) users’ engagement with luxury car brands. Design/methodology/approach Marketer-generated data (MGC) on X by two leading luxury car brands were examined. Data was collected and pre-processed to extract context-specific content topics, sentiments, and emojis using automated tools i.e., Tweet scarper (Vicinitas), ChatGPT, and Python. Hierarch…
Twitter content strategies to maximize engagement
Protecting privacy in Pokémon Go
Inquiring into lifelong learning intention
This study aims to explore the influences of individual, institutional, and pedagogical factors on lifelong learners’ motivation and intention and to compare differences among gender, employment status, and media exposure. The data were collected from 525 participants using quota sampling. The results showed that the learning pedagogies and the organisation’s online learning readiness, directly affected learners’ self-determination but not their …
Inquiring into lifelong learning intention
This study aims to explore the influences of individual, institutional, and pedagogical factors on lifelong learners’ motivation and intention and to compare differences among gender, employment status, and media exposure. The data were collected from 525 participants using quota sampling. The results showed that the learning pedagogies and the organisation’s online learning readiness, directly affected learners’ self-determination but not their …
Inquiring into lifelong learning intention
This study aims to explore the influences of individual, institutional, and pedagogical factors on lifelong learners’ motivation and intention and to compare differences among gender, employment status, and media exposure. The data were collected from 525 participants using quota sampling. The results showed that the learning pedagogies and the organisation’s online learning readiness, directly affected learners’ self-determination but not their …
Protecting privacy in Pokémon Go
Twitter content strategies to maximize engagement
Social media horsepower
Purpose – This research aims to look at the effects of content and emotions on X (formerly known as Twitter) users’ engagement with luxury car brands. Design/methodology/approach Marketer-generated data (MGC) on X by two leading luxury car brands were examined. Data was collected and pre-processed to extract context-specific content topics, sentiments, and emojis using automated tools i.e., Tweet scarper (Vicinitas), ChatGPT, and Python. Hierarch…
Psychology (4 works) · Computer Science (3 works) · Digital Marketing and Social Media (3 works) · Advertising (2 works) · Business (2 works) · Knowledge Management and Sharing (2 works) · Social media (2 works) · Technology Adoption and User Behaviour (2 works) · World Wide Web (2 works) · Artificial Intelligence (1 work)