Modeling and evolution analysis of patent competition strategy system of AI enterprises
Modeling and evolution analysis of patent competition strategy system of AI enterprises
复制标题
人工智能企业专利竞争策略体系建模与演化分析
DOI：
10.3233/jifs-220572
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发表时间：
2022-11
影响因子：
2
通讯作者：
Zhaoxu Yu
中科院分区：
文献类型：
--
作者：
Shugang Li;Xiaoru Ji;Beiyan Zhang;Ying Liu;Hanyu Lu;Zhaoxu Yu
专利授权后的维护和战略运作能给企业带来巨大的市场竞争力和效益。但是，从专利许可到市场应用的时间跨度很大，这使得识别专利竞争战略的好处具有挑战性。此外，人工智能（AI）是一个新兴产业，缺乏制定专利竞争战略的现成经验，特别是目前的研究还没有从人工智能企业的微观专利管理角度设计专利竞争战略，以解决市场应用相对于专利授权滞后所带来的不确定性。本研究以系统动力学方法建立专家群判别系统，以解决此问题。它结合专家的隐性知识来确定模糊变量值和模糊关系。从企业技术竞争力的角度构建了国家维度、行业维度和企业维度的专利竞争战略子系统，以占领市场。将这三个子系统结合起来，建立了企业专利竞争战略系统动力学模型，并进行了演化分析。最后，以中国典型人工智能企业科大讯飞为例，进行了多场景仿真，得到了4种不同场景下的仿真结果，为管理者制定合理的专利竞争策略，获取较高的市场份额提供了有效的决策支持。该研究为专利竞争战略的建模和演化分析提供了思路，全面系统地考虑了专利管理的运行机制，有助于有效处理系统动力学模型中的不确定性和模糊性。
The maintenance and strategy operation after patent licensing can bring great market competitiveness and benefits to enterprises. But the large time span from patent licensing to market application makes it challenging to discern the benefits of patent competition strategy. Besides, artificial intelligence (AI) is an emerging industry without ready-to-use experience to formulate patent competition strategy, and particularly current researches have not designed patent competition strategy from the micro patent management perspective of AI enterprises to solve the uncertainty caused by the lag of market application relative to patent licensing. This research builds an expert group discriminant system based on the system dynamics method to address this problem. It integrates expert tacit knowledge to determine the fuzzy variable value and the fuzzy relationship. The patent competition strategy subsystem in national dimension, industry dimension and enterprise dimension for capturing the market from the perspective of enterprise technology competitiveness are constructed. By combining the three subsystems, the enterprise patent competition strategy system dynamics model with evolution analysis is established. Finally, taking typical Chinese AI enterprise iFLYTEK as an example, the multi-scenario simulation is carried out and the results under four different scenarios can provide effective decision supports for managers to formulate reasonable patent competition strategy and gain high market share. This research sheds light on modeling and evolution analysis of the patent competition strategy which comprehensively and systematically considers the operation mechanism of patent management and contributes to dealing with the uncertainty and ambiguity in the system dynamics model effectively.
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