--

15(4)2025

Analyzing public perceptions of street food in Ho Chi Minh City from a management perspective using data analytics and netnography approaches


Author - Affiliation:
Hien Nguyen Trong Ton - Van Lang University, Ho Chi Minh City , Vietnam
Corresponding author: Hien Nguyen Trong Ton - hien.tnt@vlu.edu.vn
Submitted: 04-09-2024
Accepted: 27-09-2024
Published: 18-10-2024

Abstract
Street food plays a pivotal role in tourism development, and effective management is crucial for optimizing its impact. This study explores public perceptions of street food in Ho Chi Minh City from a management perspective, utilizing data analytics and netnography approaches. By analyzing viewer comments on street food videos, the research aims to understand public sentiment and its influence on local tourism. Data analytics methods employed include toxicity analysis, sentiment analysis, and 3D semantic clustering to group comments based on thematic relevance and sentiment. The findings reveal that the majority of feedback is positive, driven by factors such as affordability, cultural diversity, and the aesthetic appeal of food streets. Despite this, negative comments, while in the minority, often stem from cultural misunderstandings, preconceived biases regarding Vietnamese cuisine, or, in some cases, unfair competition in the tourism sector. To improve street food tourism and counter these misconceptions, several strategies are recommended. These include government-led initiatives promoting Vietnamese culinary culture globally, vendor training in business management and cross-cultural communication, and collaborations among local governments, tourism agencies, and the private sector. Additionally, establishing an official tourism blog for Ho Chi Minh City is proposed, allowing for authentic storytelling and data-driven analysis of tourist feedback to inform future marketing and service improvements.

JEL codes
C88; M310; L38

Keywords
data analytics; Ho Chi Minh City; netnography; street food

Full Text:
PDF

References

Aji, F. S., Iriani, A., & Hendry, N. (2023). Toxicity and Sentiment Analysis About Digital Bounty on Social Media. https://doi.org/10.1109/icast57874.2023.10359318.


Favaretto, M., De Clercq, E. M., & Elger, B. S. (2019). Big Data and discrimination: perils, promises and solutions. A systematic review. Journal of Big Data, 6(1). https://doi.org/10.1186/s40537-019-0177-4.


Feng, Y., Chen, H., & He, L. (2019). Consumer Responses to Femvertising: A Data-Mining Case of Dove’s “Campaign for Real Beauty” on YouTube. Journal of Advertising, 48(3), 292–301. https://doi.org/10.1080/00913367.2019.1602858.


Gruzd, A., Mai, P., & Soares, F. B. (2023). From Trolling to Cyberbullying. https://doi.org/10.1145/3603163.3610531.


Hậu, P. X., & Thắng, B. X. (2019). Development of street food in Ho Chi Minh city to attract international tourists (Vietnamese). Journal of Science, 16(2), 123. https://doi.org/10.54607/hcmue.js.16.2.2444(2019).


Hiemstra, A. M. F., Van Der Kooy, K. G., & Frese, M. (2006). Entrepreneurship in the Street Food Sector of Vietnam-Assessment of Psychological Success and Failure Factors. Journal of Small Business Management, 44(3), 474–481. https://doi.org/10.1111/j.1540-627x.2006.00183.x.


Hinkin, T. R. (1998). A Brief Tutorial on the Development of Measures for Use in Survey Questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106.


Pai, W. T., Phan, K. T., Pham, C. V., Lee, J. M., & Hsieh, C. J. (2024). Analyzing tourist expenditures incurred on long-, medium-, and short-haul trips to Taiwan. Annals of Tourism Research Empirical Insights, 5(2), 100138. https://doi.org/10.1016/j.annale.2024.100138.


Porreca, A., Scozzari, F., & Di Nicola, M. (2020). Using text mining and sentiment analysis to analyse YouTube Italian videos concerning vaccination. BMC Public Health, 20(1). https://doi.org/10.1186/s12889-020-8342-4.


Tiberius, V., Chen, N., Bartels, M., & Von Der Oelsnitz, D. (2024). Breaking out! A netnography study on motives of a digital nomad lifestyle. Technology in Society, 78, 102678. https://doi.org/10.1016/j.techsoc.2024.102678.


TITC (2024, January 1). International visitors to Vietnam reach 12.6 million arrivals in 2023, increased 3.5 times to 2022. Retrieved August 3, 2024, from https://vietnamtourism.gov.vn/en/post/19434.


Tran, V. T., Nguyen, T. P. C., & Nguyen, T. T. (2018). Factors affecting international tourists’ satisfaction of street food in Ho Chi Minh city. Journal of International Economics and Management, 111, 87-100. https://jiem.ftu.edu.vn/index.php/jiem/article/view/198.


Vo-Thanh, T., & Kirova, V. (2018). Wine tourism experience: A netnography study. Journal of Business Research, 83, 30–37. https://doi.org/10.1016/j.jbusres.2017.10.008.


Wang, Y. S. (2019). User experiences in live video streaming: a netnography analysis. Internet Research, 29(4), 638–658. https://doi.org/10.1108/intr-01-2018-0029.



Creative Commons License
© The Author(s) 2025. This is an open access publication under CC BY NC licence.