Consumer Psychology of Ethnic Clothing Based on Artificial Intelligence Decision-Making and Internet of Things

Abstract

The consumer psychology and consumption behavior of ethnic clothing is often a special category of modern clothing consumption, which has a significant impact on the composition of future consumer culture. The research on the consumption psychology of ethnic costumes will help us to better grasp the legal direction of the development of cultural trends. The purpose of this paper is to study the consumer psychology of ethnic wear based on artificial intelligence decision-making and the Internet of Things. After an overview and theoretical analysis of the existing results, the framework of the research and the direction to start are determined. In order to understand the basic situation of the current market, the main multichannels of ethnic wear are classified, and the preference information for these functions is explored in the minds of consumers. Use decision-making process research tools to quantify decision-making process data for all ethnic apparel consumption. The research obtains specific data through questionnaires and grasps the mass psychology of ethnic costume consumption. And then build a scientific system to promote the consumption of national costumes. Research has proved that the creation of cultural scope and the enrichment of commodity types have a very positive impact on the consumption of ethnic clothing and can become one of the important breakthroughs in promoting the consumption of ethnic clothing.

Artificial Intelligence in Consumer Behaviour: A Systematic Literature Review

“…The intersection of AI and fashion evaluation is addressed by Sohn et al (2021), who compare consumer evaluations of products generated by generative adversarial networks (GAN). Peng and Krutasaen (2022) shift the focus to ethnic clothing consumption, employing AI decision-making and the Internet of Things (IoT) to identify factors in uencing consumer psychology.…”

“…This review delves into several aspects, including the favorable in uence of AI on the consumption of ethnic clothes (Peng & Krutasaen, 2022), the integration of AI in the leisure sector (Xian, 2021), and its signi cant role in transforming digital marketing (Tchelidze, 2019). In addition, the study conducted by Dwivedi and Wang (2022) on the use of AI in B2B settings, as well as the research by Tan et al (2022) on the importance of AI in increasing the security of AIoT, contribute to a more comprehensive understanding of the extensive rami cations of AI.…”

Digital transformation and supply chain efficiency improvement: An empirical study from a-share listed companies in China

“…Thus, digital transformation is a key catalyst in advancing modern corporate governance [ 49 , 50 ], providing necessary tools and capabilities for enterprises to maintain competitiveness in the complex and volatile global economic environment. For example, artificial intelligence can be used to analyze market trends and consumer behavior to guide strategic decisions [ 51 ]; blockchain technology can create a secure, immutable record in the supply chain, thereby increasing the transparency and traceability of transactions [ 52 ]; and cloud computing provides flexible resource allocation and data storage solutions, facilitating collaboration across departments and regions [ 53 ]. Additionally, digital transformation, through automated processes and real-time monitoring systems, helps enterprises identify and respond to risks promptly, enhancing internal control and compliance checking capabilities [ 54 ], thereby promoting the improvement of corporate governance level.…”

Multigranulation-Based Granularity Selection for Intuitionistic Fuzzy Weighted Neighborhood IoT Data

“…The Internet of Things (IoT) [1][2][3][4] refers to the real-time collection of important information or processes that need monitoring, connection, and interaction through various information sensors, laser scanners, and other devices and technologies, so as to form the IoT datasets. Granular computing [5][6][7][8] is an area of study that explores different levels of granularity in human-centered perception, problem solving, and information processing, as well as their applications in the design and implementation of knowledge-intensive intelligent systems.…”