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Team learning behaviours as predictors of innovative work behaviour - a longitudinal study

机译:团队学习行为作为创新工作行为的预测因素 - 纵向研究

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摘要

Teams have a high potential for innovation development by carrying out innovative work behaviour (IWB), but research remains limited on how engagement in team learning behaviours (TLBs) can foster IWB among team members. Especially longitudinal studies investigating the dynamic character of both constructs are missing. To clarify the relationship between TLBs and IWB over time, we conducted a three-wave longitudinal survey among interdisciplinary work teams in German vocational education. Based on a sample of 66 work teams with 275 team members consisting of vocational educators, such as teachers, school principals and social workers, a manifest cross-lagged panel model was estimated to capture the dynamic relationship between TLBs and IWB. The hierarchical structure was taken into account and missing data were imputed. The results indicate that knowledge sharing and team reflexivity at the beginning of the teamwork predict future engagement in dimensions of IWB. In the further course of the teamwork boundary spanning becomes an important TLB for IWB. The TLBs that are relevant for IWB are influenced by task interdependence and team structure. The results provide insight into how IWB can be fostered through TLBs over time. At the beginning of a work task, knowledge sharing and team reflexivity should be fostered by encouraging discussion and enriching different perspectives to reach high engagement in IWB. In the further course of teamwork information should be gathered from outside the team, for instance by inviting experts.
机译:通过开展创新的工作行为(IWB),团队具有很大的创新发展潜力,但研究仍然有限于团队学习行为(TLB)如何在团队成员之间培育IWB。特别是调查两个构建体的动态特征的纵向研究缺失。为了澄清TLB和IWB之间的关系随着时间的推移,我们在德国职业教育中进行了三波纵向调查。根据66名工作团队的样本,拥有275名职业教育者,如教师,学校校长和社会工作者,估计明显的交叉滞后面板模型才能捕捉TLBS和IWB之间的动态关系。考虑分层结构,缺少数据。结果表明,团队合作开始的知识共享和团队反射性预测IWB的维度的未来参与。在Teamwork边界的进一步过程中,Spanning成为IWB的重要TLB。与IWB相关的TLB受任务相互依存和团队结构的影响。结果提供了洞察IWB如何随着时间的推移通过TLB培养。在工作任务开始时,应通过鼓励讨论和丰富不同的观点来促进知识共享和团队反射性,以达到IWB的高度参与。在进一步的团队合作过程中,应该从团队外面收集,例如通过邀请专家。

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