2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)最新文献

Board independence, financing constraints and stock price volatility: Empirical evidence from A-share listed companies in Shanghai and Shenzhen 董事会独立性、融资约束与股价波动:来自沪深a股上市公司的经验证据

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00063

Yuchen Liu

{"title":"Board independence, financing constraints and stock price volatility: Empirical evidence from A-share listed companies in Shanghai and Shenzhen","authors":"Yuchen Liu","doi":"10.1109/ICDSBA53075.2021.00063","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00063","url":null,"abstract":"This article takes 2018 Shanghai and Shenzhen A- share listed companies as the object, and specifically examines the influence of the independence of the board of directors and financing constraints on the fluctuation of corporate stock prices. Through empirical research, we find that financing constraints are negatively correlated with stock price volatility. The financing constraint coefficient increases by 1%, and the stock price volatility decreases by 9.88%. The greater the independence of the board of directors, the greater the impact of financing constraints on stock price volatility. The independence of the board of directors increased by 1%, and the financing constraint coefficient’s ability to restrain stock price fluctuations increased by about 28.60%. Furthermore, this paper conducts a robustness test from the three dimensions of ownership, firm size, and firm age, and verifies that the extreme tail effect of stock price collapse risk does not exist in each quantile. Based on the analysis mentioned above, this article puts forward relevant policy recommendations from the two perspectives of board independence and financing constraints.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123046231","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: 1

Real-Time Detection and Analysis System for Tea Leafhopper 茶叶虫实时检测分析系统

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00049

Yanfu Wang, Li Yang, Gan Huang, Dongping Zhang

引用次数: 1

The Study on Consumer Behavior of Online Luxury Goods 网络奢侈品消费者行为研究

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00094

Kerui Zhu, Weilun Huang

{"title":"The Study on Consumer Behavior of Online Luxury Goods","authors":"Kerui Zhu, Weilun Huang","doi":"10.1109/ICDSBA53075.2021.00094","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00094","url":null,"abstract":"Due to the rapid development of science and technology in China, online luxury consumption behavior has gradually become a new trend, and more and more people begin to consume online luxury goods. The purpose of this paper is to use a multiple regression model and ANOVA analysis to explore consumer behavior and influencing factors of online luxury consumption. The results show that the online luxury purchase experience has a significant positive correlation with advantages cognition, disadvantages cognition of online luxury consumption, and the effect of star live broadcast for the promotion of luxury goods. The consumption amount was significantly positively correlated with advantages cognition, disadvantages cognition, and star live broadcast effect. Personal factors also affect online luxury purchase behavior and influencing factors. Gender has a significant impact on the reasons for the online consumption of luxury goods. Age has a significant impact on the sum of consumption of online luxury goods, consumption reasons, and the perception of disadvantages. Educational background has a significant impact on the sum of consumption of online luxury goods. Monthly income has a significant impact on the sum of consumption of online luxury goods and the perception of disadvantages, and the urbanization of residence has a significant impact on the sum of consumption of online luxury goods.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678205","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

Deep Learning for Text Matching: A Survey 文本匹配的深度学习:综述

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00022

Zhengjie Huang, Lihong Cao

引用次数: 2

Short Term Traffic Flow Prediction Method based on Fuzzy Clustering Algorithm 基于模糊聚类算法的短期交通流预测方法

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00121

H. Xie, Fengyue Jin, Hao Li

{"title":"Short Term Traffic Flow Prediction Method based on Fuzzy Clustering Algorithm","authors":"H. Xie, Fengyue Jin, Hao Li","doi":"10.1109/ICDSBA53075.2021.00121","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00121","url":null,"abstract":"With the rapid development of urbanization, the number of urban motor vehicles is rising rapidly, and the contradiction between supply and demand of urban traffic is increasingly tense. Nowadays, one of the effective ways to solve traffic problems is to build intelligent transportation system. As the key technology of this intelligent system, traffic prediction is the premise and key of traffic guidance and control. In the face of the above development, a short- term traffic flow prediction method based on fuzzy clustering algorithm is proposed. With the help of the basic characteristic parameters of traffic flow, the short-term traffic flow data are obtained and preprocessed. On this basis, the short-term traffic flow prediction evaluation index is defined, and the \"distance\" measurement conditions for the two criteria are established by publishing traffic information service, so as to realize the smooth application of the short-term traffic flow prediction method based on fuzzy clustering algorithm. The experimental results show that, with the support of fuzzy clustering algorithm, the accuracy of artificial short-term traffic flow prediction is greatly improved. Compared with the quadratic exponential smoothing method, this new prediction method has greater feasibility and application value.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116473352","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 the Application of Apriori Association Algorithm in the Collection of Enterprise Financial Data Apriori关联算法在企业财务数据收集中的应用研究

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00018

Dong-Heon Yang

引用次数: 0

Design and Implementation of Multimodal Video Retrieval System 多模式视频检索系统的设计与实现

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00036

Bin Qi

引用次数: 0

A User Behavior Analysis Method Based on Big Data 基于大数据的用户行为分析方法

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00101

Yuan Sun

{"title":"A User Behavior Analysis Method Based on Big Data","authors":"Yuan Sun","doi":"10.1109/ICDSBA53075.2021.00101","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00101","url":null,"abstract":"With the developing progress of the Internet and the pandemic deterioration, more people decide to shop online. The online eCommerce business is quickly expanding. Understanding users’ purchase behavior is a key component to growing sales and improving the website’s design and flow. We use User Behavior Data from Tianchi of Alibaba Cloud. The data were randomly selected about one million users who have behaviors of page view, purchase, shopping to cart, and adding to favorite during November 25 to December 27, 2017. There are a total of ten million records. We used four dimensions to approach this problem: time, item, conversion rate from Funnel Analysis, and valuable customers from RFM Model. From the time dimension, users are more likely to visit pages during the weekends from 10 am to 3 pm. From the item dimension, the top ten items were purchased over one hundred times during this time frame. The number is outstanding back in 2017. For the conversion rate from Funnel Analysis, adding items into the cart has a higher conversion rate compared to marking items as favorites. For the customer dimension, we used an RFM (recency, frequency, monetary) model to identify valuable users. We can advise Taobao to improve the favorite item remainder process, increase the exposure of hot selling items during peak hours and week of the day, and offer more promotions/recommendations to valuable customers.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128183036","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: 1

The Application of Data Mining Technology in Crime Prediction Analysis 数据挖掘技术在犯罪预测分析中的应用

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00011

Xu Wang, Fan Meng

引用次数: 0

Analysis on the Relationship between Diversified M&A Types and Long-term Performance of Tourism Enterprises Based on Environmental Dynamics 基于环境动力学的旅游企业多元化并购类型与长期绩效关系分析

2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2021-09-01 DOI: 10.1109/ICDSBA53075.2021.00052

Deming Li, Shengdong Zhu, Xiangyang Yu

{"title":"Analysis on the Relationship between Diversified M&A Types and Long-term Performance of Tourism Enterprises Based on Environmental Dynamics","authors":"Deming Li, Shengdong Zhu, Xiangyang Yu","doi":"10.1109/ICDSBA53075.2021.00052","DOIUrl":"https://doi.org/10.1109/ICDSBA53075.2021.00052","url":null,"abstract":"With the improvement of the capital market, the merger and acquisition activities of enterprises gradually show the characteristics of standardization and marketization. According to the dynamic environment, the relationship between enterprise diversification and its performance is one of the core research topics of enterprise strategic management. Dynamic capabilities and their dimension capabilities are positively correlated with financial performance and non-financial performance of enterprises, and environmental dynamics has a moderating effect on the relationship between dynamic capabilities and non-financial performance of enterprises. An empirical study on the relationship between environmental dynamics and corporate performance aims to examine the relationship between the capital structure of listed companies and corporate performance in a transitional economy with environmental dynamics as the main feature in China. And because of the particularity of China’s market environment, traditional research methods can not measure the diversified M&A performance of enterprises. Therefore, the relationship between diversified M&A types and long-term performance of tourism enterprises using environmental dynamics is studied.","PeriodicalId":154348,"journal":{"name":"2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132373377","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