基于唤起理论的协同创新任务难度划分研究

发布时间：2018-03-10 15:53

本文选题：唤起理论　切入点：协同创新　出处：《管理工程学报》2017年03期 　论文类型：期刊论文

【摘要】：任务分解与合作是协同创新的重要途径,确定合理的任务难度是调动创新主体最优唤起水平,从而提升创新绩效的关键。基于心理学唤起理论中作业绩效与唤起水平的倒U型曲线关系以及任务难易程度对倒U型曲线产生的偏移,构建任务难易程度影响下的协同创新收益模型。通过模型演算得到,提高任务难度有利于降低主体的最优唤起水平,提高创新资源投入分摊比例只能降低其自身的最优唤起水平,协作方的最优唤起水平反而随着分摊比例提升而提高。恰当的任务难易程度受到创新效率常数、创新收益常数以及创新资源投入比例的共同影响。以算例和案例对模型结论进行验证。研究结论有助于协同创新组织合理确定创新任务难度以及分配创新任务。
[Abstract]:Task decomposition and cooperation are important ways of collaborative innovation. To determine the reasonable task difficulty is to mobilize the optimal arousal level of innovation subject. Based on the relationship between job performance and arousal level in psychological arousal theory and the shift of task difficulty to inverted U-shaped curve, Under the influence of task difficulty degree, the cooperative innovation income model is constructed. Through model calculation, it is found that increasing task difficulty is conducive to reducing the optimal arousal level of the subject. Increasing the allocation ratio of innovation resources can only reduce its own optimal arousal level, but the optimal arousal level of the collaborators increases with the increase of the allocation ratio. The appropriate task difficulty is subject to the innovation efficiency constant. The model conclusions are verified by examples and cases. The research results are helpful to determine the difficulty of innovation task and allocate innovation task reasonably by collaborative innovation organization.
【作者单位】：重庆科技学院;
【基金】：国家社科基金资助一般项目(16BGL029) 重庆市教委人文社科基金资助一般项目(16SKGH191)
【分类号】：F273.1;F49

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