 |
[email protected] |
 |
3275638434 |
 |
 |
| Paper Publishing WeChat |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
PEST and SWOT Analysis of The Chinese Version of TikTok
LI Ruiwei
Full-Text PDF
XML 1356 Views
DOI:10.17265/2159-5542/2023.04.004
Queen’s University, Kingston, Canada
This paper applies PEST analysis to The Chinese Version of TikTok, a video-sharing app developed by Zhang Yiming and founded in 2016. It examines how TikTok has adapted to different market conditions over time using PEST and SWOT analyses. This paper will provide critical insights into how The Chinese Version of TikTok has developed from the perspective of the company’s top management team in light of changes within the market since its establishment to help them make decisions about their strategy going forward. It will also look at changes in social behavior over time to explain their resilience. The PEST study of The Chinese Version of TikTok reveals that the political paradigm of the technical element, which includes the AI big data algorithms and the AI economic calculation model, can stimulate public interest because it is a content platform. As a result of its monopolistic nature, however, it is motivated by a desire to serve the public interest. We can see the opportunities that arise from these problems, but the benefits of technological advances are less noticeable. According to the SWOT analysis, five main advantages stem from the technical aspects. First, it has a vast user volume, which means it has acquired many data on user behavior. Second, it has powerful Big Data-based financial debugging skills. Third, it has access to cutting-edge artificial intelligence tools and data. In the fourth place, it has created an advertiser-friendly platform. As the last step, it has established a public service-oriented website. Because it relies on Big Data, AI’s technical flaws—including its flawed big data algorithms and extremely conservative economic calculating model—are greatly relieved because it relies on Big Data. Business choices under a centralized economic paradigm have to be made at the top, reducing room for creativity. Another flaw is that there is no internal mechanism for The Chinese Version of TikTok to adapt to changing circumstances or industry trends. The AI big data algorithms and the AI economic calculation model face competition from other participants in this industry who may have access to a more comprehensive database and superior artificial intelligence equipment.
The Chinese Version of TikTok, SWOT, PEST, the trend of The Chinese Version of TikTok
Psychology Research, April 2023, Vol. 13, No. 4, 182-187
Cai, H., Huang, R., & Wang, T. (2022, March). TikTok’s advertising policy in the Chinese market and impacts on China’s Internet economic advertising market. In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) (pp. 1884-1893). Paris: Atlantis Press.
Hsieh, W. H. (2020). Doing business in China: Market entry strategies for a foreign print-on-demand company (Bachelor’s thesis, Metropolia University of Applied Sciences, 2020).
Hua, P. (2020, November). Promotion of the marketization of cultural content by local conditions. In 2020 International Conference on Management, Economy, and Law (ICMEL 2020) (pp. 266-272). Paris: Atlantis Press.
Lu, D. (2022, April). Analyze the marketing strategies of new-tea drinks industry by the SWOT and PEST tools—Take Nayuki as an example. In 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022) (pp. 98-101). Paris: Atlantis Press.
Ma, J., & Yu, S. (2021, October). The future development of e-commerce in Tiktok. In 2021 International Conference on Public Relations and Social Sciences (ICPRSS 2021) (pp. 241-246). Paris: Atlantis Press.
Shen, L. (2018). The new social media marketing plan for HK Maxims’ cakes in mainland China—A case study. International Journal of Economics, Finance and Management Sciences, 6(6), 246-254.
Wang, P. (2022). Analysis of short video algorithm marketing strategy of enterprises. In International Conference on Multi-modal Information Analytics (pp. 271-277). Cham: Springer.
Wang, J. M., Zhang, Y., Du, X. Y., Zhang, Y. F., & Lin, C. Y. (2022, March). Research on SYNSH development strategy selection and implementation based on DELPHI-SWOT model. In 2022 7th International Conference on Financial Innovation and Economic Development (ICFIED 2022) (pp. 1160-1164). Paris: Atlantis Press.
Xiao, W. (2021, February). Challenges and countermeasures for payment and settlement services of commercial banks in the context of Internet finance. In 5th Asia-Pacific Conference on Economic Research and Management Innovation (ERMI 2021) (pp. 8-12). Paris: Atlantis Press.
Yang, J., Wang, C., Jiang, B., Song, H., & Meng, Q. (2020). Visual perception enabled industry intelligence: State of the art, challenges, and prospects. IEEE Transactions on Industrial Informatics, 17(3), 2204-2219.
Zhao, Q., Pan, Y., & Xia, X. (2021). The Internet can help in the reduction of pesticide use by farmers: Evidence from rural China. Environmental Science and Pollution Research, 28(2), 2063-2073.
Zhang, Y. (2021). How to use Chinese digital platforms to pursue and increase their brand awareness in the Chinese market (Bachelor’s thesis, Satakunta University of Applied Sciences, 2021).