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Dynamic effects of learning capabilities and profit structures on the innovation competition

机译：学习能力和利润结构对创新竞争的动态影响

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摘要

Firms' long-term competitiveness depends on their capability of attaining product and/or process innovations that enable them to appropriate extraordinary rents for a certain period of time. In this paper, we investigate a dynamic interplaybetween firms' learning capabilities, market reward structures for the innovation, and other cost factors, establishing an optimal control model for an innovation game context. The analysis helps us to construct a causal relationship map among the keydecision elements that identify a dynamic path through which a firm's learning capability affects its competitor's innovation strategy. Numerical examples based on the control model indicate that the firm with lower learning capability would invest lessamount in innovation than would its competitor with higher learning capability. The faster the market reward to the innovation depreciates as the development delays, the more the rate of investment increase slows down as time advances. Likewise, the morethe market reward depreciates, the lesser the increase rate of probability that the firm completes the innovation successfully. The mathematical model in this paper can shed light on the modelling of an innovation game involving dynamic capabilities, andthus contribute to an effective innovation decision making.
机译：企业的长期竞争力取决于他们获得产品和/或流程创新的能力，从而使其能够在一定时期内获得适当的超额租金。在本文中，我们研究了企业学习能力，创新的市场奖励结构以及其他成本因素之间的动态相互作用，建立了创新博弈环境的最优控制模型。该分析有助于我们在关键决策要素之间构建因果关系图，从而确定企业学习能力影响其竞争对手创新策略的动态路径。基于控制模型的数值示例表明，学习能力较低的公司比创新能力较高的竞争对手在创新上的投入更少。随着开发的延误，市场对创新的报酬越快贬值，随着时间的推移，投资增长率下降的速度就越大。同样，市场奖励贬值越多，企业成功完成创新的可能性的增长率就越小。本文中的数学模型可以阐明涉及动态能力的创新博弈的建模，从而有助于有效的创新决策。

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