Intention to Recommend Tourism Destination on Social Media for Tourists in Thailand

Nowadays, the Internet community is very important in every organization, especially in tourism. Thai tourism should promote destinations by using social media to highlight the uniqueness of each area. The objective is to find the intention to recommend tourism destinations in Thailand using the social media. This research uses a mixed-methods approach. The qualitative data was gathered by email from 21 experts. A consensus of 21 experts used a rough set of Delphi. The quantitative research obtained data from a total of 800 sample tourists who recommended various tourism destinations. The result of this study found eight factors, such as information quality, perceived usefulness, push travel motivations, pull travel motivations, overall satisfaction, trust, customer loyalty, and intention to recommend. The benefit of this research is that Tourism Authority of Thailand (TAT) should implement the factor of intention to recommend.

Authors

Institutions

Publication Details

Journal
TEM Journal
Published
2024-11-27
DOI
https://doi.org/10.18421/tem134-26
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intention to Recommend Tourism Destination on Social Media for Tourists in Thailand

Sumaman Pankham, Mayprapawee Varnakomola Kolenberg
TEM Journal
Digital Marketing and Social Media
article

Intention to Recommend Tourism Destination on Social Media for Tourists in Thailand

Sumaman Pankham, Mayprapawee Varnakomola Kolenberg
article en

Abstract

Nowadays, the Internet community is very important in every organization, especially in tourism. Thai tourism should promote destinations by using social media to highlight the uniqueness of each area. The objective is to find the intention to recommend tourism destinations in Thailand using the social media. This research uses a mixed-methods approach. The qualitative data was gathered by email from 21 experts. A consensus of 21 experts used a rough set of Delphi. The quantitative research obtained data from a total of 800 sample tourists who recommended various tourism destinations. The result of this study found eight factors, such as information quality, perceived usefulness, push travel motivations, pull travel motivations, overall satisfaction, trust, customer loyalty, and intention to recommend. The benefit of this research is that Tourism Authority of Thailand (TAT) should implement the factor of intention to recommend.

TEM Journal
Rangsit University (TH)
Decent work and economic growth
Openalex Percentile: Top 65%
Digital Marketing and Social Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intention to Recommend Tourism Destination on Social Media for Tourists in Thailand — Sumaman Pankham, Mayprapawee Varnakomola Kolenberg · TEM Journal (2024) | TGRS Research Map | TGRS