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A causal analytic model to evaluate the impact of researchers' individual innovativeness on their collaborative outputs

机译:一种因果分析模型,用于评估研究人员的个人创新对其协作产出的影响

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Purpose - The purpose of this paper is to provide a model that tests to what extent researchers' interactions in the early stage of their collaborative network activities affect the number of collaborative outputs (COs) produced (e.g. joint publications, joint grant proposals and joint patents). Design/methodology/approach - Using self-reports from 100 tenured/tenure-track faculty at a US-based university, partial least squares (PLS) path models are run to test the extent to which researchers' individual innovativeness (Iinnov) affects the number of COs they produced taking into account the tie strength (TS) of a researcher to other conversational partners. Iinnov is determined by the specific indicators obtained from researchers' interactions in the early stage of their collaborative network activities. Findings - The results indicate that researchers' Iinnov positively affects the volume of their COs. Furthermore, TS negatively affects the relationship between researchers' Iinnov and the volume of their COs, which is consistent with the famous "Strength of Weak Ties" theory. Practical implications - By investigating the degree of impact of researchers' Iinnov on their CO, college administration could be informed regarding the extent that the social cohesion formed by interpersonal ties affects or drives the collaboration activity that results in COs. When this paper is extended to the entire university, university administration would know the capability of the different colleges, or even the university as a whole, in transforming the ideas embedded in researchers' networks into a productive work in a collaborative manner. Originality/value - It is one of the foremost attempts to investigate the relationship between researchers' Iinnov during ideation phase and their CO. Moreover, this paper contributes to the literature regarding the transformation of tacit knowledge into explicit knowledge at a university context.
机译:目的-本文的目的是提供一个模型,用于测试研究人员在其协作网络活动的早期阶段的互动在多大程度上影响所产生的协作输出(CO)的数量(例如,联合出版物,联合赠款提案和联合专利) )。设计/方法/方法-使用位于美国的一所大学的100名终身制/终身制教师的自我报告,运行偏最小二乘(PLS)路径模型来测试研究人员的个人创新(Iinnov)在多大程度上影响考虑到研究人员与其他会话伙伴之间的联系强度(TS),他们产生的CO数量。 Iinnov由研究人员在协作网络活动初期的互动中获得的特定指标确定。研究结果-结果表明研究人员的Iinnov对他们的CO量产生了积极影响。此外,TS对研究人员的Iinnov及其CO量之间的关系产生负面影响,这与著名的“弱领带的强度”理论相一致。实际意义-通过调查研究人员的Iinnov对他们的CO的影响程度,可以告知大学行政部门人际关系形成的社会凝聚力影响或驱动导致CO的合作活动的程度。当本文扩展到整个大学时,大学行政部门将了解不同学院甚至整个大学的能力,以协作的方式将研究人员网络中嵌入的思想转变为富有成果的工作。原创性/价值-这是调查研究人员在构想阶段的Iinnov与他们的CO之间关系的最重要尝试之一。此外,本文为有关在大学环境中将隐性知识转换为显性知识的文献做出了贡献。

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