摘要：
创新驱动发展关键在于企业, 企业创新战略选择是理论和实践关注的重要命题, 二元创新是目前研究热点.现有研究均把企业资源有限作为分析创新二元性的既定约束条件, 重点分析或者实证研究实施二元创新的前因、中介、调节和控制变量, 而对于有限资源如何在二元创新中分配的问题不够重视.本文聚焦企业实行二元创新的有限资源动态配置机制.学术界一致认为只有两种创新行为同时发展, 才能保持其竞争力, 并且获得短期和长期的利益, 然而关于针对有限的创新资源具体分配机制仍鲜有研究.研究发现, 企业资源分配比例与上一期的绩效差值有关, 基于有限资源的二元创新活动都将促进知识水平以及绩效的发展.在此基础上进行数据模拟, 结果表明:与利用型创新导向企业相比, 探索型创新导向企业长期绩效明显更优;而且探索型创新导向企业对绩效越敏感, 长期绩效越好;反之, 利用型创新导向企业对绩效越不敏感, 长期绩效越好.%Enterprise is the key to pursue innovation-driven development. The innovation strategy selection of enterprises is the important issue in the theory and practice. Nowadays, the innovation ambidexterity becomes a hot area of research. However, existing researches usually take"resource limitation"as constraint condition on the analysis of innovation ambidexterity, and attach great importance on the antecedent, moderate, mediating and control variables of ambidextrous innovation, but rarely research was on the allocation problem of limited resources in exploitative innovation and exploratory innovation. It focused on dynamic resource allocation mechanism of ambidextrous innovation in enterprises. It is generally accepted by the academy that only these 2 innovation behaviors develop at the same time, can enterprises remain competitive and acquire the long-term benefits. But researchers seldom study the specific allocation mechanism on the limited innovation resources. The previous researches showed that the allocation proportion on enterprise resource was associated with performance gap between the targeted performance, and actual performance, and both exploitative innovation and exploratory innovation can increase the level of knowledge and promote the development of performance. Based on this theory, a simulation was conducted. And it shows that exploratory innovation-oriented firms have better long-term performance than exploitative innovation-oriented firms. And for exploratory innovation-oriented firms, the more sensitive on the performance gap, the better long-term performance, but for the exploitative innovationoriented firms, the less sensitive on the performance gap, the better long-term performance.
