Achara Chandrachai
Biographic Data
| ID | 3563077 |
|---|---|
| NAME | Achara Chandrachai |
| GIVEN NAMES | Achara |
| FAMILY NAME | Chandrachai |
| SIGNATURE | CHANDRACHAI A |
| AFFILIATIONS | Chulalongkorn University |
| ORCID | 0009-0007-6345-7779 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
A Framework for Assessing Wellness Tourism Destination Competitiveness
This article aims to identify the variables that determine wellness tourism destination competitiveness using a case study in Thailand. This study outlines a suggested competitiveness framework for wellness tourism destinations based on the viewpoint of wellness tourism clusters. The study’s model illustrates the different categories and components and their relationship to competitiveness. Thirteen in-depth qualitative interviews were conducted …
Mapping Reserch Trends in Mobile Technology in Wellness Tourism Destinatination
The study aims to explore and review the literature published on the use of mobile technology in wellness tourism destinations, finding a total of 656 papers published between 2001 and 2021 to determine the thematic direction of the related research flourish. This study created a bibliometric and visualisation map of research trends in mobile technology in wellness tourism destinations using the Scopus database, PRISMA, VOSviewer and Harzing’s Pu…
Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer's requirements from the communication …
Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer's requirements from the communication …
Adopt Big-Data Analytics to Explore and Exploit the New Value for Service Innovation
Big-data analytics is gaining substantial attention due to its contribution to the process of determining business strategy and providing valuable information for the design and development of service innovation. The principal objective of this research is to study the adoption of big-data analytics for service innovation. The focus will be on leveraging features of data analytics to capture genuine customer's requirements from the communication …
Mapping Reserch Trends in Mobile Technology in Wellness Tourism Destinatination
The study aims to explore and review the literature published on the use of mobile technology in wellness tourism destinations, finding a total of 656 papers published between 2001 and 2021 to determine the thematic direction of the related research flourish. This study created a bibliometric and visualisation map of research trends in mobile technology in wellness tourism destinations using the Scopus database, PRISMA, VOSviewer and Harzing’s Pu…
A Framework for Assessing Wellness Tourism Destination Competitiveness
This article aims to identify the variables that determine wellness tourism destination competitiveness using a case study in Thailand. This study outlines a suggested competitiveness framework for wellness tourism destinations based on the viewpoint of wellness tourism clusters. The study’s model illustrates the different categories and components and their relationship to competitiveness. Thirteen in-depth qualitative interviews were conducted …
Business (3 works) · Computer Science (3 works) · Marketing (3 works) · Analytics (2 works) · Data science (2 works) · Destinations (2 works) · Diverse Aspects of Tourism Research (2 works) · Political science (2 works) · Qualitative research (2 works) · Sociology (2 works)