Knowledge spillover via collaboration is essential to innovation,with proximity being a vital factor.Nevertheless,little consensus has been achieved on which form of proximity is more critical for innovation.Instead o...Knowledge spillover via collaboration is essential to innovation,with proximity being a vital factor.Nevertheless,little consensus has been achieved on which form of proximity is more critical for innovation.Instead of reaching a definitive conclusion,we highlight the potential of addressing the argument through the lens of innovation heterogeneity.This work thus contributes to current literature by integrating two forms of innovation,radical and incremental,into the discourse of geographical and organizational proximity in knowledge spillover via collaboration.Utilizing a dataset of patents from China’s listed firms between 2001 and 2017,we first categorize radical and incremental innovation according to the characteristics of knowledge combination,encompassing the familiarity of combined knowledge and maturity of combination ways.We further investigate the heterogenous effects of intra-region and intra-group knowledge spillovers,linked to geographical and organizational proximity in collaboration,on radical and incremental innovation.Empirical findings demonstrate that innovation relies on knowledge spillover both within groups and within regions.Moreover,intra-region spillover is essential for fostering radical innovation,while intra-group spillover only facilitates incremental innovation.Our findings provide both theoretical and practical implications,suggesting that multilocational enterprises should enhance their collaborator selection to leverage diverse knowledge spillovers,thereby fostering radical and incremental innovation in distinct ways.展开更多
本文提出了对群体内部总体情绪强度进行测量的一种方法,并采用系统动力学(system of dynamic)方法对该强度随时间变化的规律进行建模,随后选取20个教学班级共686名大学生被试通过心理实验对模型进行了检验,发现模型具有较好的生态效度...本文提出了对群体内部总体情绪强度进行测量的一种方法,并采用系统动力学(system of dynamic)方法对该强度随时间变化的规律进行建模,随后选取20个教学班级共686名大学生被试通过心理实验对模型进行了检验,发现模型具有较好的生态效度。本研究表明:群体认同感是影响内群体情绪强度变化的重要心理量,从而将基于个体的群体情绪理论(intergroup emotion theory)拓展到群体中,也为监控与预测群体情绪的发展变化进而预防和处置群体性事件提供了可供参考的定量方法与解决方案。展开更多
基金National Natural Science Foundation of China,No.42122006,No.42471187。
文摘Knowledge spillover via collaboration is essential to innovation,with proximity being a vital factor.Nevertheless,little consensus has been achieved on which form of proximity is more critical for innovation.Instead of reaching a definitive conclusion,we highlight the potential of addressing the argument through the lens of innovation heterogeneity.This work thus contributes to current literature by integrating two forms of innovation,radical and incremental,into the discourse of geographical and organizational proximity in knowledge spillover via collaboration.Utilizing a dataset of patents from China’s listed firms between 2001 and 2017,we first categorize radical and incremental innovation according to the characteristics of knowledge combination,encompassing the familiarity of combined knowledge and maturity of combination ways.We further investigate the heterogenous effects of intra-region and intra-group knowledge spillovers,linked to geographical and organizational proximity in collaboration,on radical and incremental innovation.Empirical findings demonstrate that innovation relies on knowledge spillover both within groups and within regions.Moreover,intra-region spillover is essential for fostering radical innovation,while intra-group spillover only facilitates incremental innovation.Our findings provide both theoretical and practical implications,suggesting that multilocational enterprises should enhance their collaborator selection to leverage diverse knowledge spillovers,thereby fostering radical and incremental innovation in distinct ways.
文摘本文提出了对群体内部总体情绪强度进行测量的一种方法,并采用系统动力学(system of dynamic)方法对该强度随时间变化的规律进行建模,随后选取20个教学班级共686名大学生被试通过心理实验对模型进行了检验,发现模型具有较好的生态效度。本研究表明:群体认同感是影响内群体情绪强度变化的重要心理量,从而将基于个体的群体情绪理论(intergroup emotion theory)拓展到群体中,也为监控与预测群体情绪的发展变化进而预防和处置群体性事件提供了可供参考的定量方法与解决方案。
