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.
{"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}
Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions’ epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.
{"title":"Quality evaluation of government epidemic data openness based on cloud model and PSR theory","authors":"Liu Yang, Jian Wang, Zebin Zhao","doi":"10.1145/3564858.3564860","DOIUrl":"https://doi.org/10.1145/3564858.3564860","url":null,"abstract":"Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions’ epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"18 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":"128591938","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}
Abstract: This paper takes the local financial risk as the research object. The prevention of financial risks is a hot issue concerned by the Local Government Regulator, but from the current literature research, quantitative research is relatively rare. Based on the overview of local financial risk research, this paper constructs an analytical framework including the theoretical basis of local financial risk, multi-dimensional measurement of local financial risk, influencing factors of local financial risk and its economic effects, and provides theoretical support for effectively preventing local financial risk. Based on the above theoretical framework, this paper puts forward the research prospect of local financial risk.
{"title":"Research and its Theoretical Framework on Local Financial Risks","authors":"Yan Yuan, Jialan Ma","doi":"10.1145/3564858.3564899","DOIUrl":"https://doi.org/10.1145/3564858.3564899","url":null,"abstract":"Abstract: This paper takes the local financial risk as the research object. The prevention of financial risks is a hot issue concerned by the Local Government Regulator, but from the current literature research, quantitative research is relatively rare. Based on the overview of local financial risk research, this paper constructs an analytical framework including the theoretical basis of local financial risk, multi-dimensional measurement of local financial risk, influencing factors of local financial risk and its economic effects, and provides theoretical support for effectively preventing local financial risk. Based on the above theoretical framework, this paper puts forward the research prospect of local financial risk.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"7 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":"121377546","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}
Trajectory prediction and impact point prediction demand for high velocity accuracy of the initial prediction point, to obtain prediction precision benefit. Non-cooperative radars are usually incapable of velocity measurement. The velocity is often computed by polynomial smoothing differentiation and Kalman filtering based on the measured data, of which the accuracy is low. An orbital equation smoothing based prediction is proposed in this paper, so as to improve the precision of trajectory prediction and impact point prediction. The experimental results shows that the method can eliminate the influence of random errors and provide stable and highly accurate prediction. The method is demonstrated to perform well in practical aircraft orbit prediction and landing point prediction.
{"title":"Orbital Equation Smoothing based Trajectory and Impact Point Prediction","authors":"Shiyin Zhu, Yu Cheng, Lijun Liu","doi":"10.1145/3564858.3564862","DOIUrl":"https://doi.org/10.1145/3564858.3564862","url":null,"abstract":"Trajectory prediction and impact point prediction demand for high velocity accuracy of the initial prediction point, to obtain prediction precision benefit. Non-cooperative radars are usually incapable of velocity measurement. The velocity is often computed by polynomial smoothing differentiation and Kalman filtering based on the measured data, of which the accuracy is low. An orbital equation smoothing based prediction is proposed in this paper, so as to improve the precision of trajectory prediction and impact point prediction. The experimental results shows that the method can eliminate the influence of random errors and provide stable and highly accurate prediction. The method is demonstrated to perform well in practical aircraft orbit prediction and landing point prediction.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"32 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":"121535441","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}
Compared with traditional enterprises, the value-added mode of digital platform enterprises is quite different. Data value-added chain of digital platform enables platform enterprises to get excess profits from virtual data value to real currency. This paper gives a kind of formal description and a pross model to the data value-added chain of digital platform, clarifies the value-added process for digital platform enterprises based on data value-added chain, explains the mechanism of multi-sided market effects in digital platform such as installed base, cross network effect, competition effect, etc. The results show the key competitive behaviors of digital platform enterprises is acting on the data value-added chain for example, algorithm, user allowance and investment in platform. Then, collections of competitive strategies are given to different types of digital platform enterprises at different stage in the life cycle.
{"title":"Data Value-added Chain and Competitive Application for Digital Platform","authors":"Yaxin Han, Huamin Li","doi":"10.1145/3564858.3564859","DOIUrl":"https://doi.org/10.1145/3564858.3564859","url":null,"abstract":"Compared with traditional enterprises, the value-added mode of digital platform enterprises is quite different. Data value-added chain of digital platform enables platform enterprises to get excess profits from virtual data value to real currency. This paper gives a kind of formal description and a pross model to the data value-added chain of digital platform, clarifies the value-added process for digital platform enterprises based on data value-added chain, explains the mechanism of multi-sided market effects in digital platform such as installed base, cross network effect, competition effect, etc. The results show the key competitive behaviors of digital platform enterprises is acting on the data value-added chain for example, algorithm, user allowance and investment in platform. Then, collections of competitive strategies are given to different types of digital platform enterprises at different stage in the life cycle.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"85 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":"132791949","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}
There are differences in geographical location, warehouse conditions and warehouse facilities of various types of warehouses, and the evaluation data of warehouses cannot be unified. It is difficult to evaluate the level of each warehouse uniformly, which is a challenge for warehouse management.Finding a suitable multi-type differentiated warehouse evaluation index system and timely improvement and optimization can make logistics companies better understand the actual situation of their various warehouses.In this paper, A logistics company's warehouse as the research object, through the analysis of multiple influencing factors, finally comprehensive screening storage ability, operating ability and ability to use human resources of the three factors, using principal component analysis (PCA) to analysis and calculation, obtained a type of KPI evaluation system can be applied to all warehouse, it can be used to scientifically evaluate multi-type differentiation of the warehouse.
{"title":"Establishment of Multi-type Differentiated Warehouse KPI Evaluation System Based on Principal Component Analysis","authors":"He Yuan, Xu Xin","doi":"10.1145/3564858.3564884","DOIUrl":"https://doi.org/10.1145/3564858.3564884","url":null,"abstract":"There are differences in geographical location, warehouse conditions and warehouse facilities of various types of warehouses, and the evaluation data of warehouses cannot be unified. It is difficult to evaluate the level of each warehouse uniformly, which is a challenge for warehouse management.Finding a suitable multi-type differentiated warehouse evaluation index system and timely improvement and optimization can make logistics companies better understand the actual situation of their various warehouses.In this paper, A logistics company's warehouse as the research object, through the analysis of multiple influencing factors, finally comprehensive screening storage ability, operating ability and ability to use human resources of the three factors, using principal component analysis (PCA) to analysis and calculation, obtained a type of KPI evaluation system can be applied to all warehouse, it can be used to scientifically evaluate multi-type differentiation of the warehouse.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"5 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":"126578216","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}
According to the basic steps of decision analysis, this paper studies how consumers make computer purchase decisions. Through market research, from the four aspects of product quality, price, service level and personal preference, using the weighted-square method and the relative position estimation method based on estimated relative position Four computer products were analyzed for purchasing decision, and relevant conclusions were drawn.
{"title":"Research on Military Network Computer Purchasing Decision Based on Multi-Objective Decision","authors":"Dongjing Li, Bin Wang","doi":"10.1145/3564858.3564870","DOIUrl":"https://doi.org/10.1145/3564858.3564870","url":null,"abstract":"According to the basic steps of decision analysis, this paper studies how consumers make computer purchase decisions. Through market research, from the four aspects of product quality, price, service level and personal preference, using the weighted-square method and the relative position estimation method based on estimated relative position Four computer products were analyzed for purchasing decision, and relevant conclusions were drawn.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"46 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":"132258903","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 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.
{"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}
In the context of carbon peaking and carbon neutrality goals, more and more enterprises realize the importance of green development for enterprise transformation and sustainable development. We explore the impact of big data technology on green logistics performance of manufacturing enterprises by introducing supply chain integration as a mediator variable. We select annual reports of 696 manufacturing company in Shanghai and Shenzhen stock markets, and quantify the level of big data technology using the method of content analysis. The results show that (1) big data technology can positively affect the green logistics performance; (2) supply chain integration can significantly positively affect the green logistics performance; (3) supply chain integration plays a mediation role in the relationship of big data technology and green logistics performance. It confirms the positive impact of big data technology on green logistics performance and enriches relevant research on green logistics performance.
{"title":"Study on the Impact of Big Data Technology on Green Logistics Performance of Manufacturing Enterprises","authors":"Lan Wang, Li Yang","doi":"10.1145/3564858.3564909","DOIUrl":"https://doi.org/10.1145/3564858.3564909","url":null,"abstract":"In the context of carbon peaking and carbon neutrality goals, more and more enterprises realize the importance of green development for enterprise transformation and sustainable development. We explore the impact of big data technology on green logistics performance of manufacturing enterprises by introducing supply chain integration as a mediator variable. We select annual reports of 696 manufacturing company in Shanghai and Shenzhen stock markets, and quantify the level of big data technology using the method of content analysis. The results show that (1) big data technology can positively affect the green logistics performance; (2) supply chain integration can significantly positively affect the green logistics performance; (3) supply chain integration plays a mediation role in the relationship of big data technology and green logistics performance. It confirms the positive impact of big data technology on green logistics performance and enriches relevant research on green logistics performance.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"32 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":"123422756","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}
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.
{"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}
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