2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)最新文献_第7页

Research on The Effectiveness and Influencing Factors of Internal Control Operation of Listed Companies 上市公司内部控制运行有效性及影响因素研究

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00029

Wang Qian, L. Min, Xu Xiaorong

{"title":"Research on The Effectiveness and Influencing Factors of Internal Control Operation of Listed Companies","authors":"Wang Qian, L. Min, Xu Xiaorong","doi":"10.1109/ICDSBA48748.2019.00029","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00029","url":null,"abstract":"At present, with the maturity of the internal management system structure of Listed Companies in China. But there are still drawbacks and loopholes in internal management, which have become the focus of government supervision, enterprise management and academic circles. In this paper, based on the basic concept of internal control, starting from the effectiveness of the evaluation of enterprise internal control, taking 3487 annual reports of A-share 2017 listed companies stock exchanges in Shanghai and Shenzhen as the samples of this study, the internal control rating, risk assessment, goal realization, evaluation report, audit report, evaluation defects are objectively evaluated and analyzed. In view of the main problems of the company, the paper provides many relevant and instructive ideas and suggestions based on the experience of foreign enterprise management, the current situation of enterprise management in China, the principle of government supervision according to law and the operability of enterprise management according to regulations. It lays a foundation for standardizing the reliability of the internal management and operation mechanism of listed companies.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126886448","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

A PSO Algorithm with Multi-Grouping and Two-Layer Structure 一种多分组双层结构粒子群算法

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00015

T. Zeng, Chuanjian Wang, Zhangliang Wei

{"title":"A PSO Algorithm with Multi-Grouping and Two-Layer Structure","authors":"T. Zeng, Chuanjian Wang, Zhangliang Wei","doi":"10.1109/ICDSBA48748.2019.00015","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00015","url":null,"abstract":"A PSO (particle swarm optimization) algorithm with multiple groups and two-layer structure(MTPSO) is proposed. First, the whole particle swarm is divided into several groups, each one is optimized. For enhance efficiency in the optimization process, each particle adopts a mixed algorithm of negative gradient. Secondly, according to the function value of each particle solution, the particle group is divided into two structures: the elite layer and the ordinary layer. In the algorithm initialization phase, the particles with the best value in each group are selected into the elite layer. The particles in the elite layer are relatively fixed and regularly selected (similar to the parliamentary mechanism in human society), that is, each elite layer as a whole. After several iterations of optimization calculations in the same way as the normal layer, the new elite layer is formed again according to the previou method. The optimal solution calculated by the elite layer is added as a global optimal solution to the position update formula of each particle. Similarly, the optimal solution for the common layer is also added to the update formula for each particle in the elite layer. It reflects the upper and lower particle’s mutual penetration and mutual influence of. Simulation experiments show the proposed algorithm is able to avoid premature and powerful global optimization ability and fast convergence, PSO’s computing efficiency.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126483349","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

Simulation Study of Seven-Level Shunt Active Filter 七电平并联有源滤波器的仿真研究

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00076

Wang Xinghao, Liu Mengda, W. Meng

引用次数: 0

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00071

Tieqiang Wang, Peng Lu, Xin Cao, Xiaodong Yang, Wei Wang, Hao Lv, Chunxian Feng, Chao Tian, Pushi Wang

引用次数: 0

Simulation and Analysis about the Heat Dissipation Law of Surrounding Rock in Driving Roadway 掘进巷道围岩散热规律模拟与分析

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00085

Jinrong Tian, Qing-Wei Huang, Wenjie Hong, W. Liu

{"title":"Simulation and Analysis about the Heat Dissipation Law of Surrounding Rock in Driving Roadway","authors":"Jinrong Tian, Qing-Wei Huang, Wenjie Hong, W. Liu","doi":"10.1109/ICDSBA48748.2019.00085","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00085","url":null,"abstract":"By analyzing the heat dissipation mechanism of roadway surrounding rock, the physical model and mathematical model of heat transfer of roadway surrounding rock are constructed respectively. Based on the finite element volume method, the software for heat dissipation of roadway surrounding rock is developed. Through computer simulation, the influencing factors such as the distance between temperature field of roadway surrounding rock and wall surface of surrounding rock, ventilation time, wind speed and lithology are analyzed. The relationship and regularity of thermal hazards in different lithologic roadways are divided. The results show that the more far away from the wall of roadway, the more stable the temperature changes; with the prolongation of ventilation time, the shape and size of cooling ring change significantly, and the shape of cooling ring gradually changes from semi-circular arch to circular; granite, limestone and sandstone have little influence on the heat dissipation of surrounding rock; the distance between rock roadway and coal roadway is about 30 m ahead of the roadway. The roadway spacing is about 50 m from the front, which is the key area of heat hazard prevention and control.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123754056","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

Analyzing Success Factors of Digital Transformation in Aviation Industry Using Fuzzy Cognitive Map Approach 运用模糊认知图法分析航空业数字化转型成功因素

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00035

G. Büyüközkan, O. Feyzioğlu, Celal Alpay Havle

{"title":"Analyzing Success Factors of Digital Transformation in Aviation Industry Using Fuzzy Cognitive Map Approach","authors":"G. Büyüközkan, O. Feyzioğlu, Celal Alpay Havle","doi":"10.1109/ICDSBA48748.2019.00035","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00035","url":null,"abstract":"Rapid developments in technology have made widespread use of digital technologies in almost every sector. With the spread of these digital technologies, companies have found themselves in an inevitable process of digital transformation. Companies that have started to take part in a new digital ecosystem have tried to provide their competitiveness and sustainability to compete with the benefits of digital transformation. However, a successful digital transformation process has become a necessity to counter the disruptive power of digital transformation. In this study, critical factors necessary for successful digital transformation are analyzed. Fuzzy cognitive map (FCM) technique extension of cognitive maps (CM), which helps to analyze the relationship between these factors and allows scenario analysis for future situations, has been utilized with the thought that these factors are related to each other. These factors are discussed from the perspective of the aviation industry, one of the industries where the effects of digital transformation are intensely observed.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114854836","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: 2

Factors Clustering Analysis of Influencing Thai Consumers to Buy China's Products Online 影响泰国消费者在线购买中国产品的因素聚类分析

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/icdsba48748.2019.00103

Xueqi Qian, Xianliang Shi, Yumin Wang, Qiaoling Ma, Lixin Shen, L. Lv

{"title":"Factors Clustering Analysis of Influencing Thai Consumers to Buy China's Products Online","authors":"Xueqi Qian, Xianliang Shi, Yumin Wang, Qiaoling Ma, Lixin Shen, L. Lv","doi":"10.1109/icdsba48748.2019.00103","DOIUrl":"https://doi.org/10.1109/icdsba48748.2019.00103","url":null,"abstract":"Background: In the rapid development of cross-border e-commerce nowadays, it is of great significance to study and analyze the influencing factors of consumer online shopping. At present, China and Thailand have a strong trade momentum, governments and enterprises of both countries are eager to find the influence factors of consumers online shopping in Thailand, in order to promote the overseas market smoothly; Methods: Data was obtained by collecting survey questionnaires from a sample of 286 online consumers in Thailand, and was analyzed with SPSS and cluster these consumers with the K-means and SOM; Results: K-means clearly divides consumers into two categories that pay attention to product promotion price and product quality and aesthetics. The three people clusters obtained by SOM algorithm clustering pay more attention to shopping time cost, product evaluation and price; Conclusions: From the perspective of consumer diversity and market segmentation, the three clusters clustered by SOM algorithm may be closer to the real situation, and also enable enterprises to target consumers of each cluster from the perspective of consumer characteristics, so as to develop marketing strategies more effectively.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129420047","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: 2

Motor Imagery EEG-based Control of Intelligent Wheelchair Using Deep Belief Network Coupled with OVO-CSP Algorithm 基于运动意象脑电图的深度信念网络与OVO-CSP算法的智能轮椅控制

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00086

Hongsen Zhou, GuoLong Zhang

引用次数: 1

An Integrated Hesitant Fuzzy MCDM Methodology for Supply Chain Analytics Tool Selection 供应链分析工具选择的综合犹豫模糊MCDM方法

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00037

G. Büyüközkan, Merve Güler, Esin Mukul

{"title":"An Integrated Hesitant Fuzzy MCDM Methodology for Supply Chain Analytics Tool Selection","authors":"G. Büyüközkan, Merve Güler, Esin Mukul","doi":"10.1109/ICDSBA48748.2019.00037","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00037","url":null,"abstract":"The complex, extended, connected and global supply chains produces a huge amount of data over various phases. Companies have to manage this data for executing their daily works. Supply chain analytics (SCA) allows more informed decisions to companies by giving insight from their data. SCA can be described as the utilization of analytical methods for deriving insights from data in order to obtain a deeper comprehension. With the utilization of SCA, various profits can be provided. However, companies need to decide on the most appropriate SCA tool for their company. For this reason, in this paper, the aim is to present a research methodology for selecting the most appropriate SCA tool. The criteria and alternatives in the evaluation model are specified by conducting the literature and industrial reports, and by collecting experts’ views. The criteria weights are computed using Hesitant Fuzzy Linguistic (HFL) Analytic Hierarchy Process (AHP) method. The alternatives are ranked using HFL VIKOR (VIseKriterijumska optimizacija I Kompromisno Resenje, meaning Multi-Criteria optimization and Compromise Solution) method. Hesitant Fuzzy Linguistic Term Set (HFLTS) technique is applied to overcome the uncertainty in decision-making and the hesitancy in experts’ evaluations. At the end of the study, an implementation of the research methodology is presented, and the suggestions for future studies are provided.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"569 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132519059","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

Analyzing Motivation and Timing of Chinese Companies for Overseas IPOs 中国企业海外ipo动机与时机分析

2019 3rd International Conference on Data Science and Business Analytics (ICDSBA) Pub Date : 2019-10-01 DOI: 10.1109/ICDSBA48748.2019.00027

Yang‐Chao Wang, Jui‐Jung Tsai, Yuchao Lin

{"title":"Analyzing Motivation and Timing of Chinese Companies for Overseas IPOs","authors":"Yang‐Chao Wang, Jui‐Jung Tsai, Yuchao Lin","doi":"10.1109/ICDSBA48748.2019.00027","DOIUrl":"https://doi.org/10.1109/ICDSBA48748.2019.00027","url":null,"abstract":"This study uses the domestic and overseas IPO data of China from 1993 to 2017 to conduct empirical analyses, proving a positive correlation between the A-shares IPO market popularity and the number of overseas IPOs. Through research, we find that when the number of A-share IPOs listed and the financing amount rises, the willingness of Chinese companies to choose overseas IPOs is enhanced. This is because when the investment sentiment in the A-shares market is overheated, the government implicitly intervenes in the issuance of domestic IPOs to adjust the market heat. However, when the domestic IPO market is gaining popularity, the demand for IPO financing of Chinese companies also rises, while the government does not adjust the IPO issuance rate according to financing demands. As a result, the financing problems faced by Chinese companies are not solved in a timely manner. Therefore, many companies seek to solve this problem by listing in overseas capital markets. On the other hand, when the A-share IPO market is too hot, the degree of market pricing deviation will also rise. Many high-quality companies are unwilling to list in China because of the high IPO underpricing rate, and instead they choose to list overseas.","PeriodicalId":382429,"journal":{"name":"2019 3rd International Conference on Data Science and Business Analytics (ICDSBA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122034449","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