Proceedings of the 2022 6th International Conference on E-Business and Internet最新文献_第5页

Factors that Affect the Adoption of Digital Bank in Indonesia 影响印尼数字银行采用的因素

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572671

K. Deniswara, Kenneth Audric Nurjadi, Enrique Nathaniel, Yuliana Lisanti, Antonius Deni Paul Lega, Maeda Azalia Wardhani

{"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}

引用次数: 0

An IS-LM Equilibrium Analysis on Trade Balance and Exchange Rate during the China-US Trade 中美贸易收支与汇率的IS-LM均衡分析

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572687

Junhao Chen, Yongli Luo

引用次数: 0

Machine Learning Algorithms in Financial Market Risk Prediction 金融市场风险预测中的机器学习算法

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572692

Zongshun Hu

{"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}

引用次数: 0

Research on Customer Service System Based on Short-Form Video Mode: Take TikTok as an example 基于短视频模式的客户服务系统研究——以TikTok为例

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572657

Ying Yuan, Yixin Tian

引用次数: 0

Research on the Construction of "5 + 2" Model of After-school Service in Primary and Secondary Schools under the Background of Big Data 大数据背景下中小学课后服务“5 + 2”模式构建研究

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572679

Haoyue Wang

引用次数: 0

Carbon Trading Price Forecasting with a Hybrid Arima and LSTM Deep Leaning Methodology 基于Arima和LSTM混合深度学习方法的碳交易价格预测

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572690

Yuanyuan Hu, Wei Xiao, Bing He, Xin Tang

引用次数: 0

Exploring the Influence of Shopping Values on Live Streaming Purchase Intention: A Multi-Group Analysis of Purchase Frequency 探讨购物价值观对直播购买意愿的影响:多群体购买频率分析

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572653

Hsiu-Chia Ko

{"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}

引用次数: 0

Analysis of Impact of Competency, Professionalism, and Audit Deadline on Remote Audit Effectiveness 胜任力、专业精神和审计期限对远程审计有效性的影响分析

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572661

B. Handoko, Edo Kurniawan

引用次数: 0

Study On Purchase Intention In Different Live Streaming Scenarios Based On Experimental Approach 基于实验方法的不同直播场景购买意愿研究

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572654

Diyuan Xu, Feng Long, Xida He

引用次数: 0

Mobile Application for Board of Nutrition-Dietetics and Professional Regulation Commission (PRC) Accreditation Process 营养营养学委员会和专业监管委员会(PRC)认可程序的移动应用程序

Proceedings of the 2022 6th International Conference on E-Business and Internet Pub Date : 2022-10-14 DOI: 10.1145/3572647.3572660

Faeka D. Ahmed, Val Rindel S. Subaan, John Patrick S. Torio, Joel C. De Goma

引用次数: 0