{"title":"Distributed leadership in inter-organisational public research and development teams","authors":"Dohyoung Kim, Sunmi Jung, Eungdo Kim","doi":"10.1108/ejim-07-2023-0591","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.</p><!--/ Abstract__block -->","PeriodicalId":51462,"journal":{"name":"European Journal of Innovation Management","volume":null,"pages":null},"PeriodicalIF":5.0000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Innovation Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/ejim-07-2023-0591","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.
Design/methodology/approach
The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.
Findings
The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.
Originality/value
The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.
目的作者通过研究主要研究者(PI)的特征如何影响创新绩效,以及在组织间研究项目的背景下,合作项目和非合作项目如何调节这种关系,为有关领导力的文献做出了贡献。作者分析了国家科技信息服务部提供的面板数据,这些数据涉及韩国健康产业发展研究院监管的生物医学和再生医学项目中的 171 个研究项目。作者使用基于普通最小二乘法的分层回归模型,从数量和质量两方面考察了 PI 特征与绩效之间的关系。PI 内部的性别多样性对创新绩效的质量有负面影响,而 PI 的能力则对创新绩效的质量有正面影响。此外,首席研究员的参与程度与创新绩效的数量呈正相关,但与绩效的质量没有显著关系。在调节效应方面,就创新绩效而言,与由单一领导者领导的非合作项目相比,由多位领导者领导的合作项目似乎更少依赖于首席信息官的能力。 原创性/价值 通过研究领导力在合作环境中提高创新绩效的作用,研究结果为创新管理方面的文献做出了重要贡献,满足了这一领域对实证证据的需求。通过分析政府研发管理中的 PI 特征,可以提高团队绩效、流程效率和资源分配效率,最终促进创新。
期刊介绍:
The subject of innovation is receiving increased interest both from companies because of their increased awareness of the impact of innovation in determining market success and also from the research community. Academics are increasingly beginning to place innovation as a priority area in their research agenda. This impetus has been partly fuelled by the Economic & Social Research Council (ESRC) who have designated innovation as one of nine research areas in their research initiative schemes.