Study on the Current Situation and Countermeasures of Mengniu Dairy Brand Building Based on SWOT Model
- DOI
- 10.2991/978-94-6463-300-9_88How to use a DOI?
- Keywords
- Mengniu Dairy; Brand Building; SWOT Model
- Abstract
With the growing demand for dairy products, the attention of the dairy industry has increased, and the brand-building task of Mengniu Dairy, as one of the leading companies in China’s dairy industry, is a top priority. This paper uses the SWOT model to study the current situation of Mengniu Dairy’s brand building and analyzes the internal and external environment of Mengniu Dairy’s brand building from four aspects: strengths, weaknesses, opportunities, and threats, respectively. The study shows that Mengniu Dairy has strong market advantages, but also faces challenges such as limited brand recognition, increased industry competition, and lack of digital marketing. Based on the results, this paper proposes scientific suggestions and countermeasures to promote Mengniu Dairy’s brand building from the aspects of market planning, product innovation, food safety, economic consumption, and digital development, respectively, in order to optimize Mengniu Dairy’s market position in the dairy industry and enhance Mengniu Dairy’s brand competitiveness.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Delong Shi PY - 2023 DA - 2023/11/27 TI - Study on the Current Situation and Countermeasures of Mengniu Dairy Brand Building Based on SWOT Model BT - Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023) PB - Atlantis Press SP - 856 EP - 867 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-300-9_88 DO - 10.2991/978-94-6463-300-9_88 ID - Shi2023 ER -