{"title":"Research on the Influence Mechanism of Precision Marketing on Online Consumer Behaviour based on the ‘S–O–R’ Paradigm and Eroglu’s (2001) Online Shopping Response Model : Take the TikTok platform as an example","authors":"Yiyun Ouyang, Liang Huang, ZhongBin Wei","doi":"10.1109/ECIT52743.2021.00055","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00055","url":null,"abstract":"The development of e-commerce and the Internet has promoted the rise of the short video shopping platform called TikTok. The increasing scale of trading on the TikTok platform has aroused the increasing concern of people regarding practice and theory, but the influence mechanism of its precision marketing on consumer buying behaviour remains unclear. Combined with the ‘Stimulus–Organism—Response’ framework and Eroglu’s consumer online shopping response model, this study takes precision marketing as an independent variable and online consumer behaviour as a dependent variable. The perceived value of online shopping consumers is the mediating variable, whereas their extroversion is the moderating variable to establish the model. Through a network questionnaire, information is collected from 251 consumers. The positive correlation between precision marketing and the perceived value of online shopping consumers and purchase behaviour is confirmed by empirical research; the relationship between precision marketing and online consumer behaviour is mediated by consumer perceived value. The extraversion of online shopping consumers has a positive moderating effect on the relationship between their perceived value and precision marketing, including the above mediating effect on such a perceived value. The above conclusions provide theoretical basis and practical enlightenment for the network platform to improve its precision marketing effect.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115374690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Development of 5G under the Background of the COVID-19 Epidemic","authors":"Peizhi Wang, Yiwei Zhao","doi":"10.1109/ECIT52743.2021.00037","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00037","url":null,"abstract":"2020 has been called the first year for global 5G commercial use. However, the outbreak of COVID-19 at the end of 2019 severely affected global economic development, and 5G development was also affected. Due to the obstruction of COVID-19, countries began to close down, which brings certain development opportunities but it also presents challenges. As for the new technology represented by 5G, the market has a certain time demand for its acceptance. However, the outbreak of the epidemic has shortened the training and demand time for 5G in the market, thus giving rise to the demand and application of 5G in various fields and creating a certain space for 5G development in all walks of life. Based on this, this paper makes an in-depth analysis of the opportunities brought by 5G development in the context of the epidemic, and discusses in detail the promotion effect brought by the rise of 5G on all walks of life in terms of consumer consumption and economic development.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116680838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on College Students' Willingness to Use Internet Financial Products and Its Influencing Factors Based on Factor Analysis and Regression Analysis","authors":"Shuang Wu, Zhe Wang","doi":"10.1109/ECIT52743.2021.00070","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00070","url":null,"abstract":"Based on the sample of college students in Wuhan City, Hubei Province, 208 valid questionnaires were collected through interviews and questionnaires. Factor analysis and regression analysis were used to analyze the factors influencing college students' willingness to use Internet financial products and summarize the use of Internet financial products by college students in Wuhan city. At the same time, according to the research results, this paper puts forward targeted suggestions for the growth of various products, so as to promote the popularization and development of Internet financial products among college students, improve college students' cognition of the characteristics of various Internet financial products, promote college students to deal with the relationship between risk and income, and realize the reasonable allocation of finance.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"1235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127433036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the influence of equity pledge ratio of controlling shareholders on financing constraint of media listed companies based on Stata16.0 software","authors":"Hongzhen Lei, R. Zhang","doi":"10.1109/ECIT52743.2021.00049","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00049","url":null,"abstract":"Equity pledge increases the degree of information asymmetry between listed companies and external investors, which may aggravate the degree of financing constraints faced by companies. This article uses stata16 software, constructs the KZ index, and orders logit regression method to study how the share pledge ratio of controlling shareholders of two cultural media listed companies with different share structures affects the financing constraints of the company. The research results show that the overall pledge proportion of companies with relatively concentrated equity is higher, the pledge proportion of equity is positively correlated with the financing constraints of companies, and the degree of financing constraints on companies will increase with the increase of the pledge proportion of equity of controlling shareholders. As equity pledge makes the company more constrained in financing, it may lead the company into a vicious circle of capital shortage and performance decline. This paper has enriched the relevant articles in the field of factors affecting financing constraints, and further studied the economic consequences of equity pledge of controlling shareholders in companies with different equity structures, so as to provide new ideas for listed companies to optimize equity structure and alleviate financing constraints.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123566474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Purchase Intention of Fresh Agricultural Products Based on TAM Model in Pre-sale Mode","authors":"Wanyi Yang, Yu Liu","doi":"10.1109/ECIT52743.2021.00071","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00071","url":null,"abstract":"In the online pre- sale mode, based on TAM technology acceptance model, this paper introduces perceived risk, defines external variables as agricultural product quality, consumer characteristics, platform characteristics, and constructs the relationship model among external variables, perceived usefulness, perceived ease of use, perceived risk and purchase intention. Research results show that the quality of fresh agricultural products were significant positive and negative impact on perceived usefulness and perceived risk, consumer traits were significant positive and negative impact is easy to use and perceived risk, platform features significantly positive influence on perceived ease of use and perceived usefulness, consumers of network opens to booking a perceived ease of use and perceived usefulness of fresh agricultural products is significantly positive influence on purchase intention. Therefore, from the perspective of consumers, it is of great significance to improve the quality of agricultural products by using the advantages of the pre-sale model to promote the sales of fresh agricultural products.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123702347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the influence of the cross-border e-commerce development of small and medium-sized enterprises in Dongguan in the post-epidemic era","authors":"Ni Wang","doi":"10.1109/ECIT52743.2021.00047","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00047","url":null,"abstract":"Small and medium-sized enterprises are an important part of China's national economy, which greatly promote the development of China's national economy. The development of small and medium-sized enterprises can drive the economic development of the whole region to a certain extent, and cross-border e-commerce, a new foreign trade development mode, is the main trade developing trend in China in the future. In recent years, Dongguan City, Guangdong Province has developed rapidly, but a sudden COVID-19 has brought a greater impact on cross-border e-commerce small and medium-sized enterprises in Dongguan. Under COVID-19 impact, Dongguan's small and medium-sized enterprises need to focus on products, optimize supply chain management, optimize store management, improve customer service, adjust logistics strategy and operation and break down financing barriers.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Poverty Prediction Through Machine Learning","authors":"Huang Zixi","doi":"10.1109/ECIT52743.2021.00073","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00073","url":null,"abstract":"Poverty elimination stands as an inevitable process in human development, with predicting poverty being the first and one of the essential steps. The paper considers poverty as an outcome of multidimensional factors, and offers various practical models for such prediction using machine learning, none of which accounts for the whole, while some factors may outweigh others. Thereby, an integrated approach of prediction is needed by combining the data from Poverty Probability Index and Oxford Poverty & Human Development Initiative. Through applying linear regression model, decision tree, random forest model, gradian boosting model, and neural network to analysis existing data, the paper assesses respectively the extent to which the factors matter and the efficacy of each model. Final advancing employs cross validation and grid research. Through analysis and comparison, the paper concludes that generally, gradient boosting is the model with the highest accuracy for predicting poverty and education as the most influencing factor. The finale finishes upon the possible reason behind the factors.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of Short Video Marketing Strategy under the Background of Social E-commerce","authors":"Liu Qian","doi":"10.1109/ECIT52743.2021.00012","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00012","url":null,"abstract":"In the Internet age, the rapid development of e-commerce depends on the maturity of social mode and systematic and diversified management mode. In the process of network information technology from 3G to 4G, the mainstream marketing mode of social e-commerce has also changed from text marketing to short video marketing, and the marketing strategy of short video marketing is based on the essence of social e-commerce, bringing its delivery channels and announcing utility into the interactive mode of people and goods by means of various network symbols, forming a cycle of brushing videos-paying attention to anchors-e-commerce shopping.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121690252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learning-based Airbnb Price Prediction Model","authors":"Siqi Yang","doi":"10.1109/ECIT52743.2021.00068","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00068","url":null,"abstract":"Airbnb has become one of the largest online accommodation booking platforms today, providing more than 700 million accommodations in more than 220 countries. The main reason of successful booking is the proper price. To increase the success booking rate, the platform needs to provide price suggestions for the hosts. This paper focuses on Airbnb market of Beijing since China will be one of the main markets of Airbnb. The paper has developed a pricing prediction model based on machine learning approaches, i.e., XGBoost and neural network, for the Beijing Airbnb market. Through the analysis of the features related to the price, the research selects important ones to develop the prediction model. Apart from the accurate price prediction model, the research also gives suggestions for hosts about how to increase their price by adding important amenities.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114743667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the network structure and organizational model of multi-value chain based on third-party platform","authors":"Wenbo Li, Shengming Zhang, B. Dan","doi":"10.1109/ECIT52743.2021.00089","DOIUrl":"https://doi.org/10.1109/ECIT52743.2021.00089","url":null,"abstract":"To study the multi-value chain’s network structure and the organizational model, this paper researches the multi-value chain based on the third-party platform. The network structure is analyzed from the perspective of multi-value chain business collaboration. We also investigated the multi-value chain organizational structure on the business relationships of the multi-value chain participating enterprises view. Research results show that the multi-value chain network structure mainly includes the business collaboration of production chain, logistics chain, marketing chain and service chain, and has the characteristics of complex network, dynamic collaboration, and cross-regional collaboration. The multi-value chain organization mainly include component suppliers, host manufacturers, distributors/retailers, and service providers. Meanwhile, the organization are dynamic reorganization, organizational flattening, complexity, and virtuality.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114787057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}