Understanding Thailand’s tourism industry from the perspective of tweets: A qualitative content analysis using NVivo 12.0

  • Received August 23, 2023;
    Accepted November 2, 2023;
    Published November 21, 2023
  • Author(s)
  • DOI
    http://dx.doi.org/10.21511/ppm.21(4).2023.33
  • Article Info
    Volume 21 2023, Issue #4, pp. 430-442
  • TO CITE АНОТАЦІЯ
  • Cited by
    2 articles
  • 433 Views
  • 129 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

Social media provide a variety of possibilities for tourist destination selection and bring new opportunities and challenges to the development of Thailand’s tourism industry. This study aims to examine Thailand’s tourism development through the lens of social media users via content analysis and find ways to improve Thailand’s tourism marketing strategies within social media. A dataset consisting of 10,008 tweets was utilized. Grounded theory is conducted to finish the open coding, axis coding, and selective coding process within NVivo 12.0, resulting in nine dimensions: the development of cities, elephant tourism development, Thailand perspective, the development of the tourism industry, tourism story, the development of tourist, tourism for Asian development, travel development perspective and cannabis. Subsequently, word frequency, sentiment, and cluster analyses were performed on those topics. The findings highlighted the critical elements of Thailand’s tourism development in social media, including cities, tourists, industries, stories, animals, and cannabis. In addition, the study identified popular tourist attractions and destinations within Thailand’s tourism development, as well as the positive impact of tourism on the economy, market, and urban development. Concurrently, Twitter users expressed concerns regarding sex tourism, cannabis, medical tourism, ecology, agriculture, and unrest in Thailand.

view full abstract hide full abstract
    • Figure 1. The word frequency analysis results
    • Table 1. The topics captured and the number of tweets
    • Table 2. Theme coding process of the development of the tourism industry
    • Table 3. Theme coding process of the development of tourists
    • Table 4. The theme coding process of the development of travel
    • Table 5. The theme coding process of the tourism story
    • Table 6. The theme coding process of the Thailand perspective
    • Table 7. The theme coding process of the development of cities
    • Table 8. The theme coding process of the elephant tourism development
    • Table 9. The theme coding process of the cannabis
    • Table 10. The theme coding process of the tourism for Asian development
    • Table 11. Results of sentiment analysis
    • Conceptualization
      Haiying Fu, Xiaoe Zhu
    • Data curation
      Haiying Fu
    • Formal Analysis
      Haiying Fu, Meizhi Ma, Xiaoe Zhu
    • Funding acquisition
      Haiying Fu
    • Investigation
      Haiying Fu, Meizhi Ma, Xiaoe Zhu
    • Methodology
      Haiying Fu, Xiaoe Zhu
    • Project administration
      Haiying Fu, Xiaoe Zhu
    • Resources
      Haiying Fu
    • Software
      Haiying Fu
    • Supervision
      Haiying Fu, Meizhi Ma
    • Validation
      Haiying Fu
    • Visualization
      Haiying Fu
    • Writing – original draft
      Haiying Fu
    • Writing – review & editing
      Haiying Fu, Meizhi Ma, Xiaoe Zhu