{"title":"知识管理过程对项目绩效的影响:系统回顾、差距分析和科学计量分析","authors":"","doi":"10.7176/ikm/13-6-01","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to review the current Knowledge Management (KM) trends and make inference for future directions of KM in project-based organizations and project performance through a Systematic Literature Review (SRL) and Scientometric analysis. First a Google advanced search was conducted and produced five hundred and seventy six (576) papers A SLR of 38 articles from 2000 – 2022 was conducted to narrow the study. Key stages in the systematic review included the formulation of the research questions, the identification of relevant research, data extraction and assessment of the risk of bias, data synthesis, summary and interpretation of the findings. Further, 981 academic documents on the topic were retrieved from Publish or Perish database. Then, co-occurrence and co-citation analysis were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant key words, network of terms co-occurrences with 68 keywords, 793 links, and total link strength of 1,486 was revealed. The most popular keywords within the period, together with their frequency, mean year of publication, links, and total link strength were identified. Keywords: Knowledge Management, Systematic Literature Review, Scientometric Analysis, Project Performance, Bibliometric DOI: 10.7176/IKM/13-6-01 Publication date: September 30 th 2023","PeriodicalId":45590,"journal":{"name":"VINE Journal of Information and Knowledge Management Systems","volume":"2 1","pages":"0"},"PeriodicalIF":2.7000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Implications of Knowledge Management Processes for Project Performance:Systematic Review, Gap Analysis and Scientometric Analysis\",\"authors\":\"\",\"doi\":\"10.7176/ikm/13-6-01\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to review the current Knowledge Management (KM) trends and make inference for future directions of KM in project-based organizations and project performance through a Systematic Literature Review (SRL) and Scientometric analysis. First a Google advanced search was conducted and produced five hundred and seventy six (576) papers A SLR of 38 articles from 2000 – 2022 was conducted to narrow the study. Key stages in the systematic review included the formulation of the research questions, the identification of relevant research, data extraction and assessment of the risk of bias, data synthesis, summary and interpretation of the findings. Further, 981 academic documents on the topic were retrieved from Publish or Perish database. Then, co-occurrence and co-citation analysis were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant key words, network of terms co-occurrences with 68 keywords, 793 links, and total link strength of 1,486 was revealed. The most popular keywords within the period, together with their frequency, mean year of publication, links, and total link strength were identified. Keywords: Knowledge Management, Systematic Literature Review, Scientometric Analysis, Project Performance, Bibliometric DOI: 10.7176/IKM/13-6-01 Publication date: September 30 th 2023\",\"PeriodicalId\":45590,\"journal\":{\"name\":\"VINE Journal of Information and Knowledge Management Systems\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VINE Journal of Information and Knowledge Management Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7176/ikm/13-6-01\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VINE Journal of Information and Knowledge Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7176/ikm/13-6-01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Implications of Knowledge Management Processes for Project Performance:Systematic Review, Gap Analysis and Scientometric Analysis
The purpose of this study is to review the current Knowledge Management (KM) trends and make inference for future directions of KM in project-based organizations and project performance through a Systematic Literature Review (SRL) and Scientometric analysis. First a Google advanced search was conducted and produced five hundred and seventy six (576) papers A SLR of 38 articles from 2000 – 2022 was conducted to narrow the study. Key stages in the systematic review included the formulation of the research questions, the identification of relevant research, data extraction and assessment of the risk of bias, data synthesis, summary and interpretation of the findings. Further, 981 academic documents on the topic were retrieved from Publish or Perish database. Then, co-occurrence and co-citation analysis were performed along with network visualization to examine research interconnections’ patterns. As a result, relevant key words, network of terms co-occurrences with 68 keywords, 793 links, and total link strength of 1,486 was revealed. The most popular keywords within the period, together with their frequency, mean year of publication, links, and total link strength were identified. Keywords: Knowledge Management, Systematic Literature Review, Scientometric Analysis, Project Performance, Bibliometric DOI: 10.7176/IKM/13-6-01 Publication date: September 30 th 2023