Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
---|---|---|
Article Number | 03008 | |
Number of page(s) | 5 | |
Section | Enterprise Operation and Human Resource Management | |
DOI | https://doi.org/10.1051/shsconf/202317003008 | |
Published online | 14 June 2023 |
Bibliometric Analysis of Chinese Research on City Brand and Brand Building Strategies for Beijing
1 Beijing Information Science and Technology University, Beijing, 100192, China
2 Beijing Key Laboratory of Green Development and Decision Making Based on Big Data, Beijing, 100192, China
a 18810390957@163.com
b wangzongshui8@163.com
With the gradual improvement of urbanization in China, it is important to research city branding to promote high-quality urban development. This paper uses CSSCI journals (including the expanded edition) in CNKI as the data source to collect the papers related to city branding from 2001-2022, analyzes the research content of city branding based on the bibliometric method, and accordingly proposes strategies for city branding in Beijing. The analysis result shows that the research on city branding involves a wide range of content, mainly including city branding, place marketing, and multilayer brand strategy. Based on this, we propose strategic suggestions for city branding for Beijing: exploring the characteristics of city resources and enhancing the cultural connotation; building a multilayer brand strategy to promote regional development; expanding multi-channel marketing to highlight the differentiation of city brand.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.