K. Deniswara, Kenneth Audric Nurjadi, Enrique Nathaniel, Yuliana Lisanti, Antonius Deni Paul Lega, Maeda Azalia Wardhani
The purpose of this paper is to examine a model that explains the factors that influence Indonesian customers to adopt digital banks. Digital bank is defined as a conventional bank that transforms digitally using IoTs, Big Data, and AI in industrial revolution 4.0 era and focuses on developing its services to help customers carry out their banking activity The model proposed was based on the unified theory of acceptance and use of technology 2 (UTAUT2) model. Structural equation modelling (SEM) was conducted to analyze the data collected from the questionnaires that are collected from 100 Indonesia digital banking users, the data collected were analyzed using SPSS and AMOS. The result of this paper shows that behavioral intention is significantly influenced by Habit, Trust, Price Value, Performance expectancy, Social Influence. This study provided important contribution to practitioners to know what change that is need, Indonesian Bank to know how to deal with digital bank customers, and digital bank users to know what is digital bank and its function. This study was conducted only in Indonesia which may limit various culture that exist in other country that can lead to different results in future research
{"title":"Factors that Affect the Adoption of Digital Bank in Indonesia","authors":"K. Deniswara, Kenneth Audric Nurjadi, Enrique Nathaniel, Yuliana Lisanti, Antonius Deni Paul Lega, Maeda Azalia Wardhani","doi":"10.1145/3572647.3572671","DOIUrl":"https://doi.org/10.1145/3572647.3572671","url":null,"abstract":"The purpose of this paper is to examine a model that explains the factors that influence Indonesian customers to adopt digital banks. Digital bank is defined as a conventional bank that transforms digitally using IoTs, Big Data, and AI in industrial revolution 4.0 era and focuses on developing its services to help customers carry out their banking activity The model proposed was based on the unified theory of acceptance and use of technology 2 (UTAUT2) model. Structural equation modelling (SEM) was conducted to analyze the data collected from the questionnaires that are collected from 100 Indonesia digital banking users, the data collected were analyzed using SPSS and AMOS. The result of this paper shows that behavioral intention is significantly influenced by Habit, Trust, Price Value, Performance expectancy, Social Influence. This study provided important contribution to practitioners to know what change that is need, Indonesian Bank to know how to deal with digital bank customers, and digital bank users to know what is digital bank and its function. This study was conducted only in Indonesia which may limit various culture that exist in other country that can lead to different results in future research","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117287520","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}
This study examines the China-US trade and its impact on the US trade deficit during 2017-2022. It employs the IS–LM equilibrium model and multiple linear regressions to examine how various phases of trade tariff, the US government deficit, and the bilateral foreign exchange rate affect the US trade deficit. It shows that the Phases 2 & 3 tariffs initiated by the US have a significant impact on China-US trade. It also reveals that the US government deficit has a major contribution to the US trade imbalance. In sum, the results are consistent with the interest rate parity (IRP) theory and the theory of comparative advantage, suggesting that protectionism is unsuccessful in solving international trade imbalance.
{"title":"An IS-LM Equilibrium Analysis on Trade Balance and Exchange Rate during the China-US Trade","authors":"Junhao Chen, Yongli Luo","doi":"10.1145/3572647.3572687","DOIUrl":"https://doi.org/10.1145/3572647.3572687","url":null,"abstract":"This study examines the China-US trade and its impact on the US trade deficit during 2017-2022. It employs the IS–LM equilibrium model and multiple linear regressions to examine how various phases of trade tariff, the US government deficit, and the bilateral foreign exchange rate affect the US trade deficit. It shows that the Phases 2 & 3 tariffs initiated by the US have a significant impact on China-US trade. It also reveals that the US government deficit has a major contribution to the US trade imbalance. In sum, the results are consistent with the interest rate parity (IRP) theory and the theory of comparative advantage, suggesting that protectionism is unsuccessful in solving international trade imbalance.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115637364","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 current complex international environment, whether it is data volume, data quality or computing power, the era of big data is different from the past. In addition to data problems, there are also algorithm problems that restrict the development of financial risk control, and the rapid development of machine learning just makes up for this deficiency. The purpose of this paper is to comprehensively compare the default risk early warning effects of machine learning algorithms and traditional statistical Logistic models, and to further select the most appropriate financial risk early warning model in the machine learning algorithm, so as to provide a scientific basis for online lending platforms to select default rate early warning models. method. This paper mainly studies the comparison of the prediction effects of the four models. In the test set, the early warning accuracy rate of the Logistic model is only 62.74%, while the early warning accuracy rate of the machine learning model is generally between 83% and 93%, and the accuracy rate of the integrated algorithm is generally around 90%. The lowest accuracy rate of the Stacking algorithm It also reached 85.8%, while the accuracy of the base classification algorithm was lower than 83%. The results show that, based on the specific scenario of loan risk assessment, the early warning accuracy of the machine learning algorithm is generally higher than that of the Logistic model, and it is more suitable for financial market risk prediction.
{"title":"Machine Learning Algorithms in Financial Market Risk Prediction","authors":"Zongshun Hu","doi":"10.1145/3572647.3572692","DOIUrl":"https://doi.org/10.1145/3572647.3572692","url":null,"abstract":"In the current complex international environment, whether it is data volume, data quality or computing power, the era of big data is different from the past. In addition to data problems, there are also algorithm problems that restrict the development of financial risk control, and the rapid development of machine learning just makes up for this deficiency. The purpose of this paper is to comprehensively compare the default risk early warning effects of machine learning algorithms and traditional statistical Logistic models, and to further select the most appropriate financial risk early warning model in the machine learning algorithm, so as to provide a scientific basis for online lending platforms to select default rate early warning models. method. This paper mainly studies the comparison of the prediction effects of the four models. In the test set, the early warning accuracy rate of the Logistic model is only 62.74%, while the early warning accuracy rate of the machine learning model is generally between 83% and 93%, and the accuracy rate of the integrated algorithm is generally around 90%. The lowest accuracy rate of the Stacking algorithm It also reached 85.8%, while the accuracy of the base classification algorithm was lower than 83%. The results show that, based on the specific scenario of loan risk assessment, the early warning accuracy of the machine learning algorithm is generally higher than that of the Logistic model, and it is more suitable for financial market risk prediction.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117032285","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}
This year, with the development of mobile information technology and the popularity of mobile smart devices, the live broadcasting industry has developed rapidly. With the attributes of fast transmission speed and strong social interaction, the network live broadcasting has rapidly acquired large-scale user groups. The major live broadcasting platforms have become the gathering and active places for users and businesses. Businesses can build live customer service systems with very low service costs. To solve the service problems of large-scale users nationwide from time to time, it has the advantages of timeliness, interaction and scale of service, which can not be achieved by traditional customer service system.
{"title":"Research on Customer Service System Based on Short-Form Video Mode: Take TikTok as an example","authors":"Ying Yuan, Yixin Tian","doi":"10.1145/3572647.3572657","DOIUrl":"https://doi.org/10.1145/3572647.3572657","url":null,"abstract":"This year, with the development of mobile information technology and the popularity of mobile smart devices, the live broadcasting industry has developed rapidly. With the attributes of fast transmission speed and strong social interaction, the network live broadcasting has rapidly acquired large-scale user groups. The major live broadcasting platforms have become the gathering and active places for users and businesses. Businesses can build live customer service systems with very low service costs. To solve the service problems of large-scale users nationwide from time to time, it has the advantages of timeliness, interaction and scale of service, which can not be achieved by traditional customer service system.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129285719","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 introduction of the "double reduction" policy, after-school services in primary and secondary schools have become a key concern of students, parents and schools. In order to improve the quality of education and management efficiency. Hangzhou has used big data and Internet technology to create an "after-school service" system integrating family, school, society and bureau, which meets the diverse needs of school management and students, broadening the access channels of social forces and reducing the pressure on schools. This paper introduces the Hangzhou after-school "5 + 2" system in detail from three aspects of the overall system architecture, operation process, technology, and system functions. This paper puts forward specific suggestions for the future development mode of after-school services in primary and secondary schools.
{"title":"Research on the Construction of \"5 + 2\" Model of After-school Service in Primary and Secondary Schools under the Background of Big Data","authors":"Haoyue Wang","doi":"10.1145/3572647.3572679","DOIUrl":"https://doi.org/10.1145/3572647.3572679","url":null,"abstract":"With the introduction of the \"double reduction\" policy, after-school services in primary and secondary schools have become a key concern of students, parents and schools. In order to improve the quality of education and management efficiency. Hangzhou has used big data and Internet technology to create an \"after-school service\" system integrating family, school, society and bureau, which meets the diverse needs of school management and students, broadening the access channels of social forces and reducing the pressure on schools. This paper introduces the Hangzhou after-school \"5 + 2\" system in detail from three aspects of the overall system architecture, operation process, technology, and system functions. This paper puts forward specific suggestions for the future development mode of after-school services in primary and secondary schools.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314650","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}
China's carbon trading market is an emerging market and is influenced by many factors. Considering the regular characteristics of carbon trading price as an important indicator of market development, it is important to make scientific predictions about the price of carbon trading. Since more and more artificial intelligence models (including machine learning models and neural network models, etc.) have been applied to this field in recent years compared to previous studies that mainly used traditional econometric models. This paper tests and evaluates common artificial intelligence models and econometric models in the field of carbon trading price forecasting, taking the carbon trading price of Shenzhen from 2013 to 2020 as an example. It is found that the ARIMA -LSTM hybrid model has the best prediction effect, and the prediction results indicate that the Shenzhen carbon trading market will experience significant fluctuations in the next three years and the carbon trading price will remain unstable.
{"title":"Carbon Trading Price Forecasting with a Hybrid Arima and LSTM Deep Leaning Methodology","authors":"Yuanyuan Hu, Wei Xiao, Bing He, Xin Tang","doi":"10.1145/3572647.3572690","DOIUrl":"https://doi.org/10.1145/3572647.3572690","url":null,"abstract":"China's carbon trading market is an emerging market and is influenced by many factors. Considering the regular characteristics of carbon trading price as an important indicator of market development, it is important to make scientific predictions about the price of carbon trading. Since more and more artificial intelligence models (including machine learning models and neural network models, etc.) have been applied to this field in recent years compared to previous studies that mainly used traditional econometric models. This paper tests and evaluates common artificial intelligence models and econometric models in the field of carbon trading price forecasting, taking the carbon trading price of Shenzhen from 2013 to 2020 as an example. It is found that the ARIMA -LSTM hybrid model has the best prediction effect, and the prediction results indicate that the Shenzhen carbon trading market will experience significant fluctuations in the next three years and the carbon trading price will remain unstable.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117146937","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}
Live streaming shopping (LSS) is a social commerce model that has attracted much attention from the public in recent years. This study aims to use shopping value theory and theory of reasoned action as the foundation to investigate how consumers’ perception of the utilitarian and hedonic values of LSS affect their LSS attitude and purchase intention. This study extends the utilitarian value of LSS to include price discount and two key technological features of LSS, namely, visibility and interactivity, to explore how these factors affect LSS purchase intention through LSS attitude empirically. Further, this study conducts a multi-group analysis (MGA) based on LSS purchase frequency. The results indicate that LSS attitude is positively related to purchase intention. Besides, utilitarian value is more likely to increase consumers’ positive LSS attitude than the entertainment value. Among the three types of utilitarian value, price discount has the greatest impact, followed by the visibility and interactivity of LSS. The MGA results unveil that the effect of price discount on LSS attitude is greater among high-purchase frequency buyers; the entertainment value of LSS affects LSS attitude only among low-purchase frequency buyers. The main contribution of this study lies in the discovery that different dimensions of utilitarian value have different effects on LSS attitude and LSS purchase frequency plays an important moderating role in the relationship between perceived values and LSS attitude. The results of this study can be a reference for streamers when developing an LSS sales strategy.
{"title":"Exploring the Influence of Shopping Values on Live Streaming Purchase Intention: A Multi-Group Analysis of Purchase Frequency","authors":"Hsiu-Chia Ko","doi":"10.1145/3572647.3572653","DOIUrl":"https://doi.org/10.1145/3572647.3572653","url":null,"abstract":"Live streaming shopping (LSS) is a social commerce model that has attracted much attention from the public in recent years. This study aims to use shopping value theory and theory of reasoned action as the foundation to investigate how consumers’ perception of the utilitarian and hedonic values of LSS affect their LSS attitude and purchase intention. This study extends the utilitarian value of LSS to include price discount and two key technological features of LSS, namely, visibility and interactivity, to explore how these factors affect LSS purchase intention through LSS attitude empirically. Further, this study conducts a multi-group analysis (MGA) based on LSS purchase frequency. The results indicate that LSS attitude is positively related to purchase intention. Besides, utilitarian value is more likely to increase consumers’ positive LSS attitude than the entertainment value. Among the three types of utilitarian value, price discount has the greatest impact, followed by the visibility and interactivity of LSS. The MGA results unveil that the effect of price discount on LSS attitude is greater among high-purchase frequency buyers; the entertainment value of LSS affects LSS attitude only among low-purchase frequency buyers. The main contribution of this study lies in the discovery that different dimensions of utilitarian value have different effects on LSS attitude and LSS purchase frequency plays an important moderating role in the relationship between perceived values and LSS attitude. The results of this study can be a reference for streamers when developing an LSS sales strategy.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122913490","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}
Auditors must begin to develop their skills to face industry 4.0. The spread of Covid-19 has further encouraged auditors to conduct remote audits and provides an opportunity to rethink the way audits are conducted. In this study, the researcher wanted to find out how the influence of competence, professionalism, and audit deadlines on the effectiveness of remote audits. This research is quantitative, with data processing using primary data obtained from distributing questionnaires to auditors who work at Public Accounting Firms in Jakarta. Statistical analysis using multiple linear regression, before conducting a feasibility test through validity, reliability and classical assumption tests. The results showed that the variables of competence, professionalism, and audit time limit had a significant effect on the effectiveness of remote auditing.
{"title":"Analysis of Impact of Competency, Professionalism, and Audit Deadline on Remote Audit Effectiveness","authors":"B. Handoko, Edo Kurniawan","doi":"10.1145/3572647.3572661","DOIUrl":"https://doi.org/10.1145/3572647.3572661","url":null,"abstract":"Auditors must begin to develop their skills to face industry 4.0. The spread of Covid-19 has further encouraged auditors to conduct remote audits and provides an opportunity to rethink the way audits are conducted. In this study, the researcher wanted to find out how the influence of competence, professionalism, and audit deadlines on the effectiveness of remote audits. This research is quantitative, with data processing using primary data obtained from distributing questionnaires to auditors who work at Public Accounting Firms in Jakarta. Statistical analysis using multiple linear regression, before conducting a feasibility test through validity, reliability and classical assumption tests. The results showed that the variables of competence, professionalism, and audit time limit had a significant effect on the effectiveness of remote auditing.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129024842","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}
Live streaming e-commerce has exploded recently. While the live streaming traffic is dominated by the top live streamers, merchants and ordinary live streamers attempt to establish self-operating live streaming, but the number of fans and sales performance are far approaching of the top live streamers. By using the experimental approach, it is found that a significant difference in the purchase intention in three different live streaming scenarios: top live streaming, merchants’ self-operating live streaming, and ordinary live streaming. As well as a significant difference in the evaluation from three dimensions: live streamer, product, and live streaming room. More precise analysis results demonstrate that top live streamers are much higher than other streamers in all dimensions after pairwise comparison investigation. Based on the results of the experimental analysis and with reference to consumers' evaluation of the top live streamers, this study provides executable improvement suggestions for merchants’ self-operating live streaming and ordinary live streaming.
{"title":"Study On Purchase Intention In Different Live Streaming Scenarios Based On Experimental Approach","authors":"Diyuan Xu, Feng Long, Xida He","doi":"10.1145/3572647.3572654","DOIUrl":"https://doi.org/10.1145/3572647.3572654","url":null,"abstract":"Live streaming e-commerce has exploded recently. While the live streaming traffic is dominated by the top live streamers, merchants and ordinary live streamers attempt to establish self-operating live streaming, but the number of fans and sales performance are far approaching of the top live streamers. By using the experimental approach, it is found that a significant difference in the purchase intention in three different live streaming scenarios: top live streaming, merchants’ self-operating live streaming, and ordinary live streaming. As well as a significant difference in the evaluation from three dimensions: live streamer, product, and live streaming room. More precise analysis results demonstrate that top live streamers are much higher than other streamers in all dimensions after pairwise comparison investigation. Based on the results of the experimental analysis and with reference to consumers' evaluation of the top live streamers, this study provides executable improvement suggestions for merchants’ self-operating live streaming and ordinary live streaming.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130806174","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}
Faeka D. Ahmed, Val Rindel S. Subaan, John Patrick S. Torio, Joel C. De Goma
The onset of the COVID-19 pandemic delayed certain operations and paved the way to strict travel restrictions. This also meant that the traditional face-to-face process for accreditation inspection was affected. With this, to adapt to the situation, many institutions switched to relying on technology. This study aims to address the digitalization of the Professional Regulation Commission of the Philippines’ monitoring and accreditation system. Hence, the objective of the study is to develop an effective digital system for the Professional Regulation Commission of the Philippines. The Agile Development Lifecycle will be implemented in constructing the system. Mobile Application Test and Performance Test are tests designed to evaluate the system's capabilities and usefulness. The outcomes met the study's goal, which led to the tests being successful.
{"title":"Mobile Application for Board of Nutrition-Dietetics and Professional Regulation Commission (PRC) Accreditation Process","authors":"Faeka D. Ahmed, Val Rindel S. Subaan, John Patrick S. Torio, Joel C. De Goma","doi":"10.1145/3572647.3572660","DOIUrl":"https://doi.org/10.1145/3572647.3572660","url":null,"abstract":"The onset of the COVID-19 pandemic delayed certain operations and paved the way to strict travel restrictions. This also meant that the traditional face-to-face process for accreditation inspection was affected. With this, to adapt to the situation, many institutions switched to relying on technology. This study aims to address the digitalization of the Professional Regulation Commission of the Philippines’ monitoring and accreditation system. Hence, the objective of the study is to develop an effective digital system for the Professional Regulation Commission of the Philippines. The Agile Development Lifecycle will be implemented in constructing the system. Mobile Application Test and Performance Test are tests designed to evaluate the system's capabilities and usefulness. The outcomes met the study's goal, which led to the tests being successful.","PeriodicalId":118352,"journal":{"name":"Proceedings of the 2022 6th International Conference on E-Business and Internet","volume":"9 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127425454","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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