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2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)最新文献

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Innovation of the Higher Education Grassroots Statistical Reports System based on Low-Code Development 基于低码开发的高等教育基层统计报告系统创新
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10118335
Jinshang Luo, Mengshu Hou
{"title":"Innovation of the Higher Education Grassroots Statistical Reports System based on Low-Code Development","authors":"Jinshang Luo, Mengshu Hou","doi":"10.1109/ICMSS56787.2023.10118335","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10118335","url":null,"abstract":"The grassroots statistical reporting of higher education is not only a critical effort for the advancement of national education, but it also serves as a prominent foundation for colleges and universities in formulating development strategies. Due to numerous statistical objects, extensive fields, and complex contents, the problems of difficult data maintenance and low filling efficiency caused by traditional manual means are prone to occur. To address these issues, the low-code software development method is utilized to design and implement a higher education grassroots statistical reports system. Initially, the characteristics of low-code development are leveraged to achieve code reusability and simplify the development process. Moreover, the method emphasizes data verification to improve data quality. To handle reported data, an automatic filling flow is eventually constructed. The system's deployment optimizes data reporting, reduces the intensity of statistical work, strengthens data verification, enhances the quality of data reporting, and effectively supports statistical reports.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114349888","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 Relationship between Innovation Culture and Innovation Ability of Internet Enterprises — Based on Signaling Theory 互联网企业创新文化与创新能力关系研究——基于信号理论
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10117730
Shijuan Cui, C. Li, Ying-Cheng Tang, Yuqing Li
{"title":"Research on the Relationship between Innovation Culture and Innovation Ability of Internet Enterprises — Based on Signaling Theory","authors":"Shijuan Cui, C. Li, Ying-Cheng Tang, Yuqing Li","doi":"10.1109/ICMSS56787.2023.10117730","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10117730","url":null,"abstract":"This article used the data of the Shanghai and Shenzhen A-share Internet industry listed companies from 2015 to 2019 as a research sample to explore the relationship between corporate innovation culture and innovation ability. From the perspective of signaling theory, the influence of innovation culture on the corporate innovation ability is analyzed to help stakeholders effectively identify the innovation level of different enterprises under the condition of information asymmetry. The empirical results show that corporate innovation culture has a significant positive effect on innovation ability, and R&D investment is beneficial to strengthen the positive effect of innovation culture on innovation ability. Through the results of this paper, it is further verified that innovation culture is a signal reflecting corporate innovation and plays an important role in innovative development of enterprise. It expanded the application of signaling theory in the field of enterprise innovation and provided some practical references for the Internet enterprises.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134185074","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 and enlightenment on the Graduation Rate of American Universities Based on Panel Data 基于面板数据的美国大学毕业率研究及启示
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10118079
Xinyi Liao
{"title":"Research and enlightenment on the Graduation Rate of American Universities Based on Panel Data","authors":"Xinyi Liao","doi":"10.1109/ICMSS56787.2023.10118079","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10118079","url":null,"abstract":"The undergraduate graduation rate has an important connotation of measuring the quality of higher education and plays an important role in the evaluation and assessment of the teaching quality of American universities. Based on the panel data, this paper establishes a linear regression model (selecting the data of universities from 51 states in the United States from 2009–2020) and analyzes the relationship between graduation rate and education investment policy, faculty level, student cost and so on. The conclusion is that the ratio of students to federal financial aid, state education funding and full-time instructional staff/student amount are negative to the graduation rate. Meanwhile, the state average tuition fee has a positive effect on student graduation rate. This paper innovatively introduces the analysis of panel data to the graduation rate study, and the quantitative study of higher education data has practical significance.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675627","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
Leveraging Best Industry Practices to Developing Software for Academic Research 利用最佳行业实践为学术研究开发软件
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10117776
Levi T. Connelly, Melody L. Hammel, Lan Lin
{"title":"Leveraging Best Industry Practices to Developing Software for Academic Research","authors":"Levi T. Connelly, Melody L. Hammel, Lan Lin","doi":"10.1109/ICMSS56787.2023.10117776","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10117776","url":null,"abstract":"Best industry practices in software development are vital to the success of a project. When these practices are not well-applied, the development process can be severely hindered, and the final product can be of poor quality as a result. Implementing techniques for managing source code: version control, issue tracking, a branching strategy, a pull request strategy, a coding standard, unit testing, CI/CD, and automated testing, are not just widely-used industry practices for no reason. Thus, we took to applying these practices to a development project for research designed to reduce user time and effort in hydrologic modeling studies, CyberWater. The software package is built on legacy software and the development team is made up of a wide variety of people from various backgrounds, not all computer science. Applying these best industry practices to their development project has made their lives easier and the final product better. We report our experience in this paper and hope it provides some useful suggestions to domain scientists in an academic setting regarding how to develop high-quality research software.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132098197","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 Empirical Study on the Influence of Insurance Innovation to Corporate Violations Based on the Crawler Program by Python 基于Python爬虫程序的保险创新对企业违法行为影响的实证研究
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10118022
Wen Mu, Peiran Liu, Yuanyuan Huang, Xiqiong He
{"title":"An Empirical Study on the Influence of Insurance Innovation to Corporate Violations Based on the Crawler Program by Python","authors":"Wen Mu, Peiran Liu, Yuanyuan Huang, Xiqiong He","doi":"10.1109/ICMSS56787.2023.10118022","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10118022","url":null,"abstract":"Using the web crawler technology by Python and Stata's correlation, regression, and propensity score matching analysis methods, this paper employs a large sample of A-share listed companies from 2016 to 2020 in China. It explores the impact of directors' and officers' liability insurance on firms' violating behaviors. The empirical results show that as a vital insurance innovation in the Chinese capital market, this insurance can effectively inhibit enterprises' tendency to violate regulations and prevent violations from happening. This article contributes to the literature by enriching the research methods of applying advanced computer technology to the management engineering field, providing new avenues for corporate financial innovation and risk management, and expanding the application of data mining in the field of decision making and process optimization.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015877","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
Credit Loan Default Prediction Based On Data Mining 基于数据挖掘的信用贷款违约预测
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10117838
Chencheng Zhao, Xiang Xie
{"title":"Credit Loan Default Prediction Based On Data Mining","authors":"Chencheng Zhao, Xiang Xie","doi":"10.1109/ICMSS56787.2023.10117838","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10117838","url":null,"abstract":"With the continuous development of economy and the improvement of people's level, personal credit loan develops rapidly. Because the problem of credit loan default is becoming more and more serious, the development of credit loan business needs an accurate prediction system. Banks have a lot of historical data, using data mining technology, from the basic information, social relations, consumption behavior, such as address information as much as possible in the massive amounts of customer data mining on the information of the borrowers, summed up the main factors influencing the personal credit risk prediction, and based on this model can effectively predict the personal credit risk related. The results show that the prediction accuracy of XGBoost model is higher than that of Logistic Regression model and Random Forest model.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116651009","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 Multi-Graph Joint Learning Network with Side Information for Recommender Systems 基于侧信息的推荐系统多图联合学习网络
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10117761
Qiaowen Huang, Zheng Fei
{"title":"A Multi-Graph Joint Learning Network with Side Information for Recommender Systems","authors":"Qiaowen Huang, Zheng Fei","doi":"10.1109/ICMSS56787.2023.10117761","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10117761","url":null,"abstract":"The application of knowledge graph in recommendation algorithms effectively enhances the interpretability of recommendation results, but it still lacks the mining of deep semantic information. Aiming at the problem that the current knowledge graph based recommendation algorithm is difficult to fully mine the potentially related information between entities, this paper proposes a multi-graph joint knowledge graph recommendation algorithm. This model combines the ideas of metapath2vec and EGES to enhance the embedding representation of nodes by simultaneously learning the original graph composed of the node itself and the auxiliary graph consisting of their side information to improve the recommendation effect. Extensive experiments on public datasets show that, compared with other benchmark algorithms, the proposed approach has a certain improvement in accuracy and robustness, and has a better ability to deal with sparse data.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"54 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132900686","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 Influencing Factors of the Dual System of Agricultural Product E-commerce and Cold Chain Logistics under Low-carbon Economy 低碳经济下农产品电子商务与冷链物流双体系的影响因素研究
2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS) Pub Date : 2023-01-06 DOI: 10.1109/ICMSS56787.2023.10117632
Jing Zhao, Fenfang Ye, G. Jang
{"title":"Research on the Influencing Factors of the Dual System of Agricultural Product E-commerce and Cold Chain Logistics under Low-carbon Economy","authors":"Jing Zhao, Fenfang Ye, G. Jang","doi":"10.1109/ICMSS56787.2023.10117632","DOIUrl":"https://doi.org/10.1109/ICMSS56787.2023.10117632","url":null,"abstract":"Focusing on the development of agricultural products e-commerce and cold chain logistics under the low-carbon economy, this paper analyzes the influencing factors of cold chain logistics and agricultural products e-commerce, uses principal component analysis method to extract the principal components of agricultural products e-commerce and cold chain logistics, and carries out correlation analysis on the dual system. It is found that the dual system has a strong correlation with the infrastructure construction and development potential, and the carbon emission has a strong correlation with the infrastructure construction of the dual system. According to the analysis results, puts forward to promote agricultural electricity under low carbon economy and the coordinated development of cold chain logistics ideas and Suggestions, to obtain rapid development of cold chain logistics and produce electricity matching degrees, to speed up the pace of reduction, decreasing the consumption and low-carbon transformation, promote agricultural electricity and cold chain logistics structure adjustment, realize the healthy and sustainable development.","PeriodicalId":115225,"journal":{"name":"2023 7th International Conference on Management Engineering, Software Engineering and Service Sciences (ICMSS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115395500","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
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