With the implementation and development of China's digital economy strategy, the integration of the real economy and the digital economy has become a national strategy. The traditional textile manufacturing enterprise has gradually become the main direction of enterprise reform in the form of digital marketing. In the face of the increasing consumer demand of consumers and the gradually unbalanced market supply and demand of textile manufacturing enterprises in China, this paper uses the methods of generalization and case analysis to comprehensively expound the necessity of digital marketing reform for textile manufacturing enterprises from the aspects of policy, technology and industrial environment. According to the research results, it is necessary to construct a new path for future upgrading and development from the two dimensions of industrial upgrading strategy and universe marketing layout based on different perspectives of textile manufacturing enterprise management reform, and to shape a closed loop of digital marketing, thus further promoting the deep integration of digitization technology and textile manufacturing enterprise.
In current society, smart clothing technology has become a critical way to improve the life quality of the elderly. This work conducted a category product evaluation and user demand system through the bibliometrics method, product evaluation analysis, focus group interviews and questionnaires. Based on the system, we designed smart clothing from the aspects of the clothing structure, hardware, software program and intelligent terminal platform to meet the needs of disabled elderly people and their caregivers in multiple scenarios. According to the test results of the smart clothing, the average error of temperature and humidity monitoring is 0.20°C and 2.88%RH. The time of putting on-taking off clothing in 6 representative daily scenarios was reduced by 51.67%. The daily body checking times, uncomfortable behaviours, and the anxiety of caregivers was decreased by 42.31%, 28.52% and 74.37%. Compared with ordinary clothing, six of the eight comfort performances are basically the same, and two are slightly worse.
With the advent of the 5G era, the digital application of big data technology has become the future development direction of various industries. The integration of digital and fashion has changed all aspects of the fashion industry from design, manufacturing to sales, and brought revolutionary changes. Aiming at the problem that the digital development of traditional fashion industry is relatively lagging behind, the method of literature analysis, case analysis and generalization is used to build the digital transformation and upgrading path of fashion industry by using VOS viewer, government released policy analysis and focus group discussion in the context of big data, and summarize the 4 kinds of fashion design digitalization, fashion marketing digitalization, fashion supply digitalization and fashion consumption digitalization strategy methods. The aim is to provide theoretical reference for the digital transformation and upgrading of the fashion industry under multi-dimensional demand, and to expand the direction of the digital development of the fashion industry under the background of big data.
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