{"title":"认识科学生产力分析的趋势:相关文献综述","authors":"Ren Ren, Koichi Murata","doi":"10.1145/3557738.3557833","DOIUrl":null,"url":null,"abstract":"The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.","PeriodicalId":178760,"journal":{"name":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the Trend of Scientific Productivity Analysis: Literature Review of Relevant Papers\",\"authors\":\"Ren Ren, Koichi Murata\",\"doi\":\"10.1145/3557738.3557833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.\",\"PeriodicalId\":178760,\"journal\":{\"name\":\"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3557738.3557833\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 International Conference on Engineering and Information Technology for Sustainable Industry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3557738.3557833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding the Trend of Scientific Productivity Analysis: Literature Review of Relevant Papers
The productivity of academic scientific world is an important indicator for the allocation of university research funds. In order to understand the current state of research on dissertation productivity, this study organizes 21 papers on dissertation productivity published between 1986 to 2021 and compiles tables to understand research on dissertation productivity and discuss related items. The results obtained from the summary table show that case studies of papers tend to focus on one-unit influencing factors, and the analytical perspective is not comprehensive. Many papers make database decisions based on the authoritative nature of the database. It becomes clear that the method of analyzing productivity in the papers is overwhelmingly a statistical mathematical analysis. When a government or organization wants to evaluate scientific productivity, it should not focus on efficiency, but should choose the appropriate scientific productivity evaluation indicators according to the needs. The ease of data acquisition suggests that country-level scientific productivity is more suitable for qualitative analysis, while organization-level or individual-level factors are suitable for quantitative analysis studies.