Proceedings of the 5th International Conference on Information Management and Management Science最新文献

Research on modeling method of organizational decision-making behavior based on group social network 基于群体社会网络的组织决策行为建模方法研究

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564925

Yie-Zhuang Tian, Bo Li, Duoyong Sun, Renqi Zhu

{"title":"Research on modeling method of organizational decision-making behavior based on group social network","authors":"Yie-Zhuang Tian, Bo Li, Duoyong Sun, Renqi Zhu","doi":"10.1145/3564858.3564925","DOIUrl":"https://doi.org/10.1145/3564858.3564925","url":null,"abstract":"As an important part of strategic analysis and strategic evaluation, the analysis of organizational decision-making behavior is widely used in strategic research and application fields such as politics, military affairs and economy. At present, the research on organizational decision-making behavior based on organizational theory mainly involves the fields of social network analysis, group decision making and multi-stage decision making. Because of the many advantages of social network to organization modeling, decision behavior analysis based on social network has been paid more and more attention by researchers. Based on organizational theory and social network analysis method, this paper explores the modeling and analysis methods of organizational decision-making behavior through the study of organizational structure, decision-making mode, decision-making behavior analysis and other related issues, so as to provide methodological support for the strategic analysis and research of relevant departments in the political, military, economic and other fields.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115208949","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

Quality evaluation of government epidemic data openness based on cloud model and PSR theory 基于云模型和PSR理论的政府疫情数据开放质量评价

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564860

Liu Yang, Jian Wang, Zebin Zhao

引用次数: 0

Research and its Theoretical Framework on Local Financial Risks 地方金融风险研究及其理论框架

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564899

Yan Yuan, Jialan Ma

引用次数: 0

Orbital Equation Smoothing based Trajectory and Impact Point Prediction 基于轨道方程平滑的轨迹和弹着点预测

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564862

Shiyin Zhu, Yu Cheng, Lijun Liu

引用次数: 0

Data Value-added Chain and Competitive Application for Digital Platform 数字平台的数据价值链与竞争性应用

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564859

Yaxin Han, Huamin Li

引用次数: 0

Establishment of Multi-type Differentiated Warehouse KPI Evaluation System Based on Principal Component Analysis 基于主成分分析的多类型差异化仓库KPI评价体系的建立

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564884

He Yuan, Xu Xin

引用次数: 0

Research on Military Network Computer Purchasing Decision Based on Multi-Objective Decision 基于多目标决策的军事网络计算机采购决策研究

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564870

Dongjing Li, Bin Wang

引用次数: 0

Factors Influencing Stocks in the New Energy Vehicle Industry based on Multiple Linear Regression Models 基于多元线性回归模型的新能源汽车行业股票影响因素分析

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564904

Yawen Zhou

{"title":"Factors Influencing Stocks in the New Energy Vehicle Industry based on Multiple Linear Regression Models","authors":"Yawen Zhou","doi":"10.1145/3564858.3564904","DOIUrl":"https://doi.org/10.1145/3564858.3564904","url":null,"abstract":"With the promulgation of the Paris Peace Treaty, governments are paying more and more attention to environmental protection, and the world has put forward higher requirements for energy conservation. New energy becomes a focal spot, and more people are willing to invest in the new energy industry. Therefore, the question “which company is the worthiest to invest?” bother every investor. BYD, for example, has been China's new energy vehicle sales champion for four consecutive years. From January to October this year, the company's sales of new energy vehicles reached 172,000 units, increasing its market share to 20 percent and continuing to rank first. The Tesla Model 3, which is owned by Tesla Motors, has sold 158,925 units in the United States, occupying almost half of the sales of new energy vehicles in the United States. This paper takes Tesla as an example to study the influencing factors of new energy stocks, and this paper selects the closing price of Tesla from 2017 to the end of 2021. It studies the corresponding daily USD to RMB exchange rate, Dow Jones index, P/E ratio and CPI data for analysis, using S&P linear regression. In conclusion, the stoke of Tesla is most sensitive to Dow Jones and least sensitive to exchange rate. New energy is an important area of future energy development in the world and the one with the greatest potential. The trend of new energy stocks reflects the stockholders' expectation and bullishness on the future prospect of new energy.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115500159","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

Study on the Impact of Big Data Technology on Green Logistics Performance of Manufacturing Enterprises 大数据技术对制造企业绿色物流绩效的影响研究

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564909

Lan Wang, Li Yang

引用次数: 0

China's Green Development Path Based on The Belt and Road Initiative 基于“一带一路”倡议的中国绿色发展道路

Proceedings of the 5th International Conference on Information Management and Management Science Pub Date : 2022-08-26 DOI: 10.1145/3564858.3564903

M. Fan

{"title":"China's Green Development Path Based on The Belt and Road Initiative","authors":"M. Fan","doi":"10.1145/3564858.3564903","DOIUrl":"https://doi.org/10.1145/3564858.3564903","url":null,"abstract":"The Green Silk Road is an important part of the \"Belt and Road\" construction, which is highly in line with the green development needs of the \"Belt and Road\" countries, and is fully compatible with the United Nations 2030 Sustainable Development Goals in addressing climate change, protecting biodiversity, and promoting green investment and financing. Through the construction of the \"Belt and Road\" green development policy dialogue and communication platform, environmental knowledge and information platform, technology exchange and transfer platform, the construction of the Green Silk Road has achieved pragmatic results. China has taken the initiative in the global environmental governance system and contributed Chinese wisdom and Chinese solutions to promote global sustainable development. Looking forward to the future, the Green Silk Road will continue to support the green and low-carbon recovery of the joint construction of the country, deeply integrate into the global environmental governance system, and work together to build the country to actively respond to climate change and serve the high-quality development of the \"Belt and Road\". In the eight years since the Belt and Road Initiative was proposed, China has always adhered to the concept of green development in the practice of the \"Belt and Road\" construction, and regarded the construction of the Green Silk Road as an important measure to promote the implementation of the United Nations 2030 Sustainable Development Goals by the \"Belt and Road\" countries.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123439024","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