In recent years, with the rapid development of information technology and the promotion of emerging media, e-commerce has risen rapidly. As a new business model, e-commerce has broken the shackles of time and space, and has promoted the trade links between countries. As a big trading country, the development of cross-border e-commerce has greatly promoted the import and export trade in China. Cross border e-commerce is a kind of trade behavior in which different customs entities, through the information network technology means of Internet platform, achieve commodity trading and online transaction for the purpose of commodity exchange. We analyze and simulate the intelligent cross-border commodity trading platform "Columbia" and analyze the preliminary products. "Columbia" has realized an intelligent cross-border commodity trading platform with innovative mode, providing a one-stop intelligent e-commerce solution from source development, procurement, quality inspection, inventory management, warehousing management, order processing to global logistics distribution, promoting import and export trade, balancing the benefits of brands and borrowers, and reducing the risks of both sides. Through practice, we come to the conclusion that the intelligent cross-border commodity trading platform is an inevitable trend of cross-border e-commerce. On the basis of a rich collection of commodities, it can provide the best cross-border shopping experience for the majority of users around the world. Additional Keywords and Phrases: cross-border e-commerce, Intelligent, cloud computing, SWOT analysis
{"title":"Analysis and practice of intelligent cross-border commodity trading platform","authors":"Xu Dongdong, Wen Chengge, Yin Pengzhi","doi":"10.1145/3472349.3472351","DOIUrl":"https://doi.org/10.1145/3472349.3472351","url":null,"abstract":"In recent years, with the rapid development of information technology and the promotion of emerging media, e-commerce has risen rapidly. As a new business model, e-commerce has broken the shackles of time and space, and has promoted the trade links between countries. As a big trading country, the development of cross-border e-commerce has greatly promoted the import and export trade in China. Cross border e-commerce is a kind of trade behavior in which different customs entities, through the information network technology means of Internet platform, achieve commodity trading and online transaction for the purpose of commodity exchange. We analyze and simulate the intelligent cross-border commodity trading platform \"Columbia\" and analyze the preliminary products. \"Columbia\" has realized an intelligent cross-border commodity trading platform with innovative mode, providing a one-stop intelligent e-commerce solution from source development, procurement, quality inspection, inventory management, warehousing management, order processing to global logistics distribution, promoting import and export trade, balancing the benefits of brands and borrowers, and reducing the risks of both sides. Through practice, we come to the conclusion that the intelligent cross-border commodity trading platform is an inevitable trend of cross-border e-commerce. On the basis of a rich collection of commodities, it can provide the best cross-border shopping experience for the majority of users around the world. Additional Keywords and Phrases: cross-border e-commerce, Intelligent, cloud computing, SWOT analysis","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124509623","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}
In this paper, we describe the estimation of corruption patterns in a specific region and their influence on the potential results of e-commerce for companies. Estimating the level of corruption is extremely vital in the post-crisis (like post-pandemics) recovery times. When entering a new region, companies forecast costs and benefits. Analysts may calculate the profit from selling an item through the e-commerce channels as revenue minus costs. Nevertheless, there are no chances to introduce the corruption patterns into the common balance sheet or income statement. Thus, the analysts can receive biased results from the outputs of e-commerce, because they will not observe part of the costs. It is easier to count corruption for the companies that persist long in a particular region. However, it can be a challenge for a new company entering the regional market. The new company will see the costs and benefits of its potential competitors entering the region without seeing the underwater part of this “iceberg”. Thus, the planned e-commerce campaign is a subject for a biased estimation on any stage of planning. Every percentage deviation of estimated revenue and costs may be crucial in accepting the decision when dealing the e-commerce. The competition in these sectors is severe; therefore, companies cannot ignore kickbacks or similar costs when planning e-commerce campaigns. Regressions and classical statistics might not be very useful in estimating the covered patterns. This is why MLT and AI algorithms become vital in this field. This research suggests a methodology and ready modules for the best estimate of corruption patterns possible at this time. The researchers show the efficiency of their approach on the example of the BEEPS data and company financial reporting. Entering the new market means estimating the competitors not just in terms of products they sell, but in terms of their financial stability and bankruptcy probability as well. The companies can use different accounting practices when providing financial reporting to their owners (the real reporting) and to the third parties (it can be modified balance sheet). This research suggests methods to convert the modified financial reporting into real financial reporting through AI. The AI algorithm suggested can take the modified data on the company and restore its true financial conditions and positions on the market. This could be crucial information for the e-commerce campaigns in new regions.
{"title":"Influence of Corruption Resilience Patterns to Profits from E-Commerce for Companies:: AI&MLT for Big Data Analysis","authors":"Shemetev Alexander, P. Martin","doi":"10.1145/3472349.3472356","DOIUrl":"https://doi.org/10.1145/3472349.3472356","url":null,"abstract":"In this paper, we describe the estimation of corruption patterns in a specific region and their influence on the potential results of e-commerce for companies. Estimating the level of corruption is extremely vital in the post-crisis (like post-pandemics) recovery times. When entering a new region, companies forecast costs and benefits. Analysts may calculate the profit from selling an item through the e-commerce channels as revenue minus costs. Nevertheless, there are no chances to introduce the corruption patterns into the common balance sheet or income statement. Thus, the analysts can receive biased results from the outputs of e-commerce, because they will not observe part of the costs. It is easier to count corruption for the companies that persist long in a particular region. However, it can be a challenge for a new company entering the regional market. The new company will see the costs and benefits of its potential competitors entering the region without seeing the underwater part of this “iceberg”. Thus, the planned e-commerce campaign is a subject for a biased estimation on any stage of planning. Every percentage deviation of estimated revenue and costs may be crucial in accepting the decision when dealing the e-commerce. The competition in these sectors is severe; therefore, companies cannot ignore kickbacks or similar costs when planning e-commerce campaigns. Regressions and classical statistics might not be very useful in estimating the covered patterns. This is why MLT and AI algorithms become vital in this field. This research suggests a methodology and ready modules for the best estimate of corruption patterns possible at this time. The researchers show the efficiency of their approach on the example of the BEEPS data and company financial reporting. Entering the new market means estimating the competitors not just in terms of products they sell, but in terms of their financial stability and bankruptcy probability as well. The companies can use different accounting practices when providing financial reporting to their owners (the real reporting) and to the third parties (it can be modified balance sheet). This research suggests methods to convert the modified financial reporting into real financial reporting through AI. The AI algorithm suggested can take the modified data on the company and restore its true financial conditions and positions on the market. This could be crucial information for the e-commerce campaigns in new regions.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122455119","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}
With the development of the Internet, the function of mobile e-commerce webcast on e-commerce platforms has begun to develop. At the beginning of this year, because of COVID-19, people were more shopping at home by watching webcast, which promoted the further development of mobile e-commerce webcast. Mobile e-commerce webcast refers to the display of abundant products on mobile e-commerce platform merchants through live streaming media. In this paper, combined with the environmental characteristics of mobile e-commerce webcast, based on the Stimulus-Organism-Response (S-O-R) theoretical model, a model of the influencing factors of users’ online shopping behavior intentions is constructed. Taking users of China's major mobile e-commerce webcast platforms as the research object, through structural equation model analysis, the factors affecting users' willingness to use online shopping under mobile e-commerce webcast are explored.
{"title":"Research on the Influence of Mobile E-commerce Webcast on Users' Online Shopping Intentions","authors":"Yun Ling Ge","doi":"10.1145/3472349.3472353","DOIUrl":"https://doi.org/10.1145/3472349.3472353","url":null,"abstract":"With the development of the Internet, the function of mobile e-commerce webcast on e-commerce platforms has begun to develop. At the beginning of this year, because of COVID-19, people were more shopping at home by watching webcast, which promoted the further development of mobile e-commerce webcast. Mobile e-commerce webcast refers to the display of abundant products on mobile e-commerce platform merchants through live streaming media. In this paper, combined with the environmental characteristics of mobile e-commerce webcast, based on the Stimulus-Organism-Response (S-O-R) theoretical model, a model of the influencing factors of users’ online shopping behavior intentions is constructed. Taking users of China's major mobile e-commerce webcast platforms as the research object, through structural equation model analysis, the factors affecting users' willingness to use online shopping under mobile e-commerce webcast are explored.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129373963","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}
Under the condition of high energy consumption and high pollution in the traditional fossil-fuelled cars industry, new energy vehicles are not only energy-saving but low-pollution and easy to operate, which is the most ideal choice for the majority of consumers. This paper will start with BYD, the leading enterprise in the new energy vehicle industry in China, to deeply explore its development advantages and disadvantages through the financial analysis of its annual report and study the development status of China's new energy vehicle industry.
{"title":"Financial Analysis on the New Energy Vehicle Industry-Taking BYD as An Example","authors":"Huang Mengyao","doi":"10.1145/3472349.3472358","DOIUrl":"https://doi.org/10.1145/3472349.3472358","url":null,"abstract":"Under the condition of high energy consumption and high pollution in the traditional fossil-fuelled cars industry, new energy vehicles are not only energy-saving but low-pollution and easy to operate, which is the most ideal choice for the majority of consumers. This paper will start with BYD, the leading enterprise in the new energy vehicle industry in China, to deeply explore its development advantages and disadvantages through the financial analysis of its annual report and study the development status of China's new energy vehicle industry.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790649","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}
Togo's agriculture needs to modernize itself by changing its traditional techniques, it needs to intensify to follow the course of globalization and to integrate into an economic competition. To do so, adequate financing is required. Starting from the lower class in Togo, small farms cannot finance themselves, whereas they should be excluded from commercial banks because of the nature of their activity. This paper analyses the factors that may or may not allow small farms to access credit from Financial Institutions in Togo. The logit model was used under Spss software to analyze data obtained from a survey of 440 family farms and 12 financial institutions in Togo. It is obtained as determining parameters whether or not farmers accessed credit from the FIs: the number of years of experience, membership in a farmers' organization, income on the main activity, participation in training or meetings for the setting up of agricultural micro-projects. The descriptive analysis shows the total exclusion of small farm banks. Of the 12 financial institutions that were the subject of our survey, only the microfinance institutions offer credit to family farms.
{"title":"Analyses of the Determinants of Access to Credit by Smallholder Farmers in Togo","authors":"Songling Yang, Abide Tchewafei, Leleingda Tchewafei, Lengue Sambiani, Agoura Badja Tchewafei, Steve-Harold Wendikuuni Kagembega","doi":"10.1145/3472349.3472357","DOIUrl":"https://doi.org/10.1145/3472349.3472357","url":null,"abstract":"Togo's agriculture needs to modernize itself by changing its traditional techniques, it needs to intensify to follow the course of globalization and to integrate into an economic competition. To do so, adequate financing is required. Starting from the lower class in Togo, small farms cannot finance themselves, whereas they should be excluded from commercial banks because of the nature of their activity. This paper analyses the factors that may or may not allow small farms to access credit from Financial Institutions in Togo. The logit model was used under Spss software to analyze data obtained from a survey of 440 family farms and 12 financial institutions in Togo. It is obtained as determining parameters whether or not farmers accessed credit from the FIs: the number of years of experience, membership in a farmers' organization, income on the main activity, participation in training or meetings for the setting up of agricultural micro-projects. The descriptive analysis shows the total exclusion of small farm banks. Of the 12 financial institutions that were the subject of our survey, only the microfinance institutions offer credit to family farms.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116183683","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}
PChome Online, a company ran a web portal, established its e-commerce department in June 2000. It first launched a B2C shopping platform called “PChome Online Shopping.” However, as time passed by, lots of emerging competitors showed up. How PChome can stand still in the e-commerce of Taiwan becomes a challenge. Thereby, the present study attempts to explore each of the service quality of PChome 24h Shopping. We conducted a service quality survey with 22 items and distributed it by random sampling, and the distribution period is half a month. After collecting responses, we deleted invalid ones and proceed data analysis. By this, 48 responses in total are valid though the sample size is small. Given that, we exploited KMO and Bartlett's Sphericity Test to filter out items that are improper for factor analysis, and used Cronbach's a to do reliability analysis. Subsequently, the results showed that there are no consumers valuing the “assurance” of PChome 24h Shopping. so that we deleted this factor. Also, we divided consumers into four different categories (i.e., tangible, reliability, responsiveness, empathy) according to valuable factors of theirs. Then we proposed relevant improvement strategies for explanation. Lastly, we indicated the research limitation and suggestions of this study as a reference for future researches.
{"title":"A Study to Explore the Service Quality of PChome 24h Shopping","authors":"Kai-Fu Yang, Hao-Wei Yang, Fen-Yun Chien","doi":"10.1145/3472349.3472350","DOIUrl":"https://doi.org/10.1145/3472349.3472350","url":null,"abstract":"PChome Online, a company ran a web portal, established its e-commerce department in June 2000. It first launched a B2C shopping platform called “PChome Online Shopping.” However, as time passed by, lots of emerging competitors showed up. How PChome can stand still in the e-commerce of Taiwan becomes a challenge. Thereby, the present study attempts to explore each of the service quality of PChome 24h Shopping. We conducted a service quality survey with 22 items and distributed it by random sampling, and the distribution period is half a month. After collecting responses, we deleted invalid ones and proceed data analysis. By this, 48 responses in total are valid though the sample size is small. Given that, we exploited KMO and Bartlett's Sphericity Test to filter out items that are improper for factor analysis, and used Cronbach's a to do reliability analysis. Subsequently, the results showed that there are no consumers valuing the “assurance” of PChome 24h Shopping. so that we deleted this factor. Also, we divided consumers into four different categories (i.e., tangible, reliability, responsiveness, empathy) according to valuable factors of theirs. Then we proposed relevant improvement strategies for explanation. Lastly, we indicated the research limitation and suggestions of this study as a reference for future researches.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"18 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132733593","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}
The rage of covid-19 violently rebuilt the order of human society, giving rise to potential recessions and deglobalization. In order to prevent gigantic financial institutions from ending up with insolvent situations, it is of vital significance to measure the impact of the pandemic on these firms. In this paper, the reliability of the top four commercial banks in China is painstakingly examined by utilizing linear regression and analysis of variance based on Stata. Thanks to Altman's Z-score model, the author manages to quantitatively measure the amount of credit risk the banks are currently taking. Based on the result of linear regression, this paper hardly finds supportive evidence on the hypothesis that the COVID has negative impact neither on banks’ financial performance nor on their risk management indicators. On the contrary, the outcome from ANOVA reveals that the Corona virus subtly raised the risk of commercial banks in China, especially for ABC and ICBC, whose liquidity dropped during 2020. Furthermore, the overall deteriorating trend in the industry is obvious but subtle, since these banks also raise their sales and profitability thanks to remote deals and commission fees. Taking advantage of Altman's Z-score, this paper estimates the impact of COVID-19 on the elite banks’ risk, reinforcing the importance of consummating the risk measure system as well as persisting in supervising the financial intermediates efficiently.
{"title":"Analysis on the Risk of Commercial Banks in China during COVID-19","authors":"Siyu Zhao","doi":"10.1145/3472349.3472365","DOIUrl":"https://doi.org/10.1145/3472349.3472365","url":null,"abstract":"The rage of covid-19 violently rebuilt the order of human society, giving rise to potential recessions and deglobalization. In order to prevent gigantic financial institutions from ending up with insolvent situations, it is of vital significance to measure the impact of the pandemic on these firms. In this paper, the reliability of the top four commercial banks in China is painstakingly examined by utilizing linear regression and analysis of variance based on Stata. Thanks to Altman's Z-score model, the author manages to quantitatively measure the amount of credit risk the banks are currently taking. Based on the result of linear regression, this paper hardly finds supportive evidence on the hypothesis that the COVID has negative impact neither on banks’ financial performance nor on their risk management indicators. On the contrary, the outcome from ANOVA reveals that the Corona virus subtly raised the risk of commercial banks in China, especially for ABC and ICBC, whose liquidity dropped during 2020. Furthermore, the overall deteriorating trend in the industry is obvious but subtle, since these banks also raise their sales and profitability thanks to remote deals and commission fees. Taking advantage of Altman's Z-score, this paper estimates the impact of COVID-19 on the elite banks’ risk, reinforcing the importance of consummating the risk measure system as well as persisting in supervising the financial intermediates efficiently.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843068","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}
Brands in the fast fashion industry often have a good development when they just enter China, but this development does not last for a long time. This paper will analyze financial statements and use PESTEL model to study the reasons why fast fashion brands cannot achieve long-term development in China, taking ZARA (owned by Inditex) as an example. In addition to references, the data graph of the study is mainly from Inditex's 2019 annual report and information published in the industry. Through the analysis, conclusions are made here. The macroeconomic environment in China is generally favorable for Zara's growth. Zara plans to close some stores in the future and switch to online sales, so in a country like China where online shopping is popular, this strategy makes sense. Besides, more and more people and institutions begin to pay attention to the issue of sustainable development. Therefore, if ZARA can improve the quality to a certain extent to promote the sustainability of its products in the future, it is also a strategy conducive to long-term development. Both the analysis of the financial position of a company and general environment in a certain country for the industry is important for its improvement strategy.
{"title":"Analysis on the Operating Condition of the Foreign Fast Fashion Company in China","authors":"Zhao Wenjing","doi":"10.1145/3472349.3472361","DOIUrl":"https://doi.org/10.1145/3472349.3472361","url":null,"abstract":"Brands in the fast fashion industry often have a good development when they just enter China, but this development does not last for a long time. This paper will analyze financial statements and use PESTEL model to study the reasons why fast fashion brands cannot achieve long-term development in China, taking ZARA (owned by Inditex) as an example. In addition to references, the data graph of the study is mainly from Inditex's 2019 annual report and information published in the industry. Through the analysis, conclusions are made here. The macroeconomic environment in China is generally favorable for Zara's growth. Zara plans to close some stores in the future and switch to online sales, so in a country like China where online shopping is popular, this strategy makes sense. Besides, more and more people and institutions begin to pay attention to the issue of sustainable development. Therefore, if ZARA can improve the quality to a certain extent to promote the sustainability of its products in the future, it is also a strategy conducive to long-term development. Both the analysis of the financial position of a company and general environment in a certain country for the industry is important for its improvement strategy.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122714797","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}
With the rapid rise of China in recent years and the intensification of conflicts with other countries, the potential "aggressive strategy" of China has attracted more and more attention. This work argues that from the economic perspective, aggressive strategy cannot be regarded as the best choice of China's future development strategy in recent years. This paper will evaluate possible result of the "aggressive strategies" at the economic level through the Stackelberg model and the case study of the trade war between China and the United States (2016-2020). In addition, this paper will focus on the perspective of the results of "aggressive strategy” and will have a certain role in predicting the future development trend.
{"title":"The Assessment of Potential “Aggressive Strategy” for China: Analysis and Forecasting from an Economic Perspective","authors":"M. Mo","doi":"10.1145/3472349.3472363","DOIUrl":"https://doi.org/10.1145/3472349.3472363","url":null,"abstract":"With the rapid rise of China in recent years and the intensification of conflicts with other countries, the potential \"aggressive strategy\" of China has attracted more and more attention. This work argues that from the economic perspective, aggressive strategy cannot be regarded as the best choice of China's future development strategy in recent years. This paper will evaluate possible result of the \"aggressive strategies\" at the economic level through the Stackelberg model and the case study of the trade war between China and the United States (2016-2020). In addition, this paper will focus on the perspective of the results of \"aggressive strategy” and will have a certain role in predicting the future development trend.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127018279","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}
In the era of big data, the speed of information dissemination is accelerating and the amount of data is increasing. People in all corners of the world can quickly share information through the network, and the computer network has become an information superhighway for various applications. However, science and technology is a double-edged sword. Computer networks are facing security problems such as hacker attacks, virus intrusion and information leakage. In order to provide users with a safe network environment, this paper analyzes the security problems and security protection strategies of computer networks, and takes the network construction of colleges and universities as an example, puts forward the design of the network security system of colleges and universities.
{"title":"A Research on Problems and Countermeasures of Computer Network Security in the Era of Big Data","authors":"Zhang Yuling","doi":"10.1145/3472349.3472354","DOIUrl":"https://doi.org/10.1145/3472349.3472354","url":null,"abstract":"In the era of big data, the speed of information dissemination is accelerating and the amount of data is increasing. People in all corners of the world can quickly share information through the network, and the computer network has become an information superhighway for various applications. However, science and technology is a double-edged sword. Computer networks are facing security problems such as hacker attacks, virus intrusion and information leakage. In order to provide users with a safe network environment, this paper analyzes the security problems and security protection strategies of computer networks, and takes the network construction of colleges and universities as an example, puts forward the design of the network security system of colleges and universities.","PeriodicalId":151080,"journal":{"name":"Proceedings of the 2021 International Conference on E-business and Mobile Commerce","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124513886","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}
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