{"title":"图书馆情报学(LIS)团队规模的扩大:越大越好吗?","authors":"Xiaobo Tang, Wenxuan Shi, Renli Wu, Shixuan Li","doi":"10.1177/01655515231204800","DOIUrl":null,"url":null,"abstract":"The increasing prevalence of large research teams in contemporary science has prompted an investigation into the trends of team size in library and information science (LIS). In this study, we analysed 103,299 LIS publications written by 129,560 unique authors between 2000 and 2020 sourced from the Microsoft Academic Graph (MAG) data sets. We conducted a temporal analysis from multiple dimensions, including journal quartiles, research topics and researchers with varying impact levels. In addition, we employed two multivariate linear regression models – with and without author fixed effects – to scrutinise the relationship between team size and publication impact. Our findings reveal continuous growth in LIS team size. Notably, publications in higher-quartile journals tend to have larger teams; the team size of technical topic publications is generally larger than that of theoretical topic publications; and researchers with a higher h-index are able to assemble larger teams. Although we observed that co-authored papers have a higher average citation impact than single-authored papers, the overall positive impact of team expansion on citation growth is not always significant within the common LIS team size range (three to six authors). Our research suggests that indiscriminately increasing the size of a team may not be a prudent decision.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"73 4","pages":"0"},"PeriodicalIF":1.8000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The expansion of team size in library and information science (LIS): <i>Is bigger always better?</i>\",\"authors\":\"Xiaobo Tang, Wenxuan Shi, Renli Wu, Shixuan Li\",\"doi\":\"10.1177/01655515231204800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing prevalence of large research teams in contemporary science has prompted an investigation into the trends of team size in library and information science (LIS). In this study, we analysed 103,299 LIS publications written by 129,560 unique authors between 2000 and 2020 sourced from the Microsoft Academic Graph (MAG) data sets. We conducted a temporal analysis from multiple dimensions, including journal quartiles, research topics and researchers with varying impact levels. In addition, we employed two multivariate linear regression models – with and without author fixed effects – to scrutinise the relationship between team size and publication impact. Our findings reveal continuous growth in LIS team size. Notably, publications in higher-quartile journals tend to have larger teams; the team size of technical topic publications is generally larger than that of theoretical topic publications; and researchers with a higher h-index are able to assemble larger teams. Although we observed that co-authored papers have a higher average citation impact than single-authored papers, the overall positive impact of team expansion on citation growth is not always significant within the common LIS team size range (three to six authors). Our research suggests that indiscriminately increasing the size of a team may not be a prudent decision.\",\"PeriodicalId\":54796,\"journal\":{\"name\":\"Journal of Information Science\",\"volume\":\"73 4\",\"pages\":\"0\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Information Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/01655515231204800\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/01655515231204800","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
The expansion of team size in library and information science (LIS): Is bigger always better?
The increasing prevalence of large research teams in contemporary science has prompted an investigation into the trends of team size in library and information science (LIS). In this study, we analysed 103,299 LIS publications written by 129,560 unique authors between 2000 and 2020 sourced from the Microsoft Academic Graph (MAG) data sets. We conducted a temporal analysis from multiple dimensions, including journal quartiles, research topics and researchers with varying impact levels. In addition, we employed two multivariate linear regression models – with and without author fixed effects – to scrutinise the relationship between team size and publication impact. Our findings reveal continuous growth in LIS team size. Notably, publications in higher-quartile journals tend to have larger teams; the team size of technical topic publications is generally larger than that of theoretical topic publications; and researchers with a higher h-index are able to assemble larger teams. Although we observed that co-authored papers have a higher average citation impact than single-authored papers, the overall positive impact of team expansion on citation growth is not always significant within the common LIS team size range (three to six authors). Our research suggests that indiscriminately increasing the size of a team may not be a prudent decision.
期刊介绍:
The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.