Rural E-Commerce Model with Attention Mechanism: Role of Li Ziqi’s Short Videos from the Perspective of Heterogeneous Knowledge Management

Xia, Huosong; Weng, Juan; Zhang, Zuopeng; Gao, Yangmei

doi:10.1080/1097198x.2022.2062992

Cited by 8 publications

(3 citation statements)

References 71 publications

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“…Short videos are currently the most popular form of communication, with the most common length being 15-second, 30-second, or 1-minute length videos uploaded on various popular social media platforms. Its low barriers to produce, strong interaction rates, high timeliness, and widespread communication [26][27] ,make up apparent gaps that are present in other forms of media [28] ,allowing it to gain a large number of fans [29] .This ultimately gives it high levels of effect across most (if not, all) platforms [30] .…”

Section: A Review Of Research On Rural Sports and Short Videosmentioning

confidence: 99%

What Types of Chinese Rural Sports Attract Attention: Take the Village Basketball Association as an Example

2023

FSR

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In August 2022, a video clip of the 'Beautiful Village Basketball Association' in Guizhou, China, known as the 'Village Basketball Association' (VBA), went viral on Tik Tok (Tik Tok, a social media platform for creative videos of music, is the largest knowledge communication platform in China.). Using this as an example, this study analyzes the reasons for the VBA's rapid popularity as a reflection of the new elements of rural sports communication. Results herein bridge current gaps of sports communication in contemporary Chinese villages and explores a new form of cultural empowerment for rural sports. Moreover, 71,325 comments from the VBA's ten most popular Tik Tok clips were analyzed in Python using high-frequency word analysis, sentiment analysis, and co-occurrence word analysis through text mining methods. The study found that the atmosphere, which features bustling noise and excitement, is the main attraction for the public. The distinctive cheerleading and rewards of the VBA also starkly contrast with the NBA. Third, the main participants are local villagers and public participation is extremely high. Lastly, because no form of capital is involved, it is perceived as a purely sporting activity so that many people are tempted to join.

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Section: A Review Of Research On Rural Sports and Short Videosmentioning

confidence: 99%

What Types of Chinese Rural Sports Attract Attention: Take the Village Basketball Association as an Example

2023

FSR

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“…As an effective measure to promote the digital economy, e-commerce has played an important role in the development of modern society [9][10][11]. China vigorously promotes the construction of "Digital China", not only taking the combination of digital technology and e-commerce as an important driver of urban development, but also promoting digital rural development as an important aspect of sustainable rural development in the coming period [12][13][14][15]. In 2022, China will comprehensively promote rural revitalization, and in terms of focusing on industry to promote rural development, emphasize the implementation of the "digital business to revitalize agriculture" project, promote e-commerce into the countryside, and at the same time promote the healthy development of agricultural and sideline products live-streaming with goods, seize the opportunity of digital development, and create new development in the field of e-commerce.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Development Level of Rural E-Commerce in China Based on Analytic Hierarchy and Systematic Clustering Method

2022

Sustainability

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The development of rural e-commerce in China has important economic, social, cultural, and ecological values, which is conducive to the sustainable development of rural areas, the efficient use of rural resources, and the comprehensive development of farmers. This paper aims to establish a comprehensive evaluation index system for the development level of rural e-commerce, use the analytic hierarchy method to determine the weights of each level, and conduct cluster analysis of the development level of provinces through the systematic clustering method. The results show that: (1) Infrastructure, digital management, digital governance, technological innovation, and talent cultivation are all important factors affecting the development level of rural e-commerce, of which infrastructure construction, digital business expansion, and e-commerce talent cultivation are more important. (2) Overall, the development level of rural e-commerce in China’s provinces presents such a pattern: Beijing, Guangdong, Shanghai, Zhejiang, Jiangsu, Shandong, and Fujian are comprehensively leading; Inner Mongolia, Ningxia, Gansu, Qinghai, Xinjiang, and Tibet are developing rapidly, and the rest of the provinces are developing and growing. (3) The Yangtze River Delta region is the region with the most active development level of rural e-commerce in China. The development of rural e-commerce in China is characterized by the south being better than the north and the east better than the west. The findings of this study can provide a basis for evaluating the level of rural e-commerce in various provinces in China, and provide guidance for the development of rural e-commerce in various provinces to achieve high-quality development in the next step.

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“…With the enhancement of computer functions and the emergence of more machine learning techniques and statistical forecasting methods, the field of demand forecasting is booming. People are consuming increasingly, and the level of material consumption is gradually increasing, leading to an increase in the frequency of consumption and prompting a gradual shortening of product life cycles [ 3 ]. For example, the split seasons of clothing in fast fashion products have evolved from the traditional four seasons to multiple seasons, and the average shelf life of fashion apparel, satchels, shoes, and hats produced by fast fashion product companies is often only a few weeks.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Prediction Neural Network Model of Cross-Border e-Commerce Sales for Virtual Community Knowledge Sharing

Tian

Wang

2022

Computational Intelligence and Neuroscience

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In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the sales dynamics prediction of virtual community knowledge sharing in cross-border e-commerce. Both the expected returns and the social network structure are analyzed, and both have positive effects on knowledge sharing in the actual development process, but the degree of them also possesses certain variability. A model of the factors influencing the quality of knowledge shared by users is constructed to explore the relationship between the dimensions in social capital and how they affect the community users’ perceptions of knowledge quality. Exploring the strong influencing factors of product repurchase rate has key implications for promoting product sales and sales forecasting. The scale of this paper has undergone several minor revisions, and the content validity is very good. Criterion validity is generally reflected by Person correlation coefficient, and construct validity includes exploratory factor analysis and confirmatory factor analysis. First, the values were clustered, and the optimal variables were selected using stepwise regression and fitted with Poisson regression models to explore the relationship between the repurchase rate of different products and the factors that strongly influence the repurchase rate in the case. To predict the sales of goods, the advantages of the BP neural network, LSTM neural network, and Verhulst gray model are combined: BP neural network can predict sales by combining the current data corresponding to independent variables, LSTM neural network can explore the influence of historical data on sales, and Verhulst model can predict sales based on the growth trend of variables. A BP-LSTM-Verhulst nested neural network based on the AP algorithm is constructed to predict sales volume, and the accuracy of this method is proved by example. Finally, it is found that the proposed sales prediction method has higher accuracy than exponential regression and shallow neural networks. The deep learning prediction method combining unstructured data such as images proposed in the paper not only provides a more accurate sales prediction method for short life cycle products in e-commerce but also provides an effective deep learning method for management practices. The KMO value obtained after the test is less than 0.5, which is not suitable for factor analysis. Using SPSS22.0 to expand the KMO value and Bartlett’s sphericity test, the KMO value is significantly greater than the minimum requirement of 0.5, the KMO value of self-efficacy is 0.826, and the KMO value of expected return is 0.870.

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Rural E-Commerce Model with Attention Mechanism: Role of Li Ziqi’s Short Videos from the Perspective of Heterogeneous Knowledge Management

Cited by 8 publications

References 71 publications

What Types of Chinese Rural Sports Attract Attention: Take the Village Basketball Association as an Example

What Types of Chinese Rural Sports Attract Attention: Take the Village Basketball Association as an Example

Research on the Development Level of Rural E-Commerce in China Based on Analytic Hierarchy and Systematic Clustering Method

A Dynamic Prediction Neural Network Model of Cross-Border e-Commerce Sales for Virtual Community Knowledge Sharing

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