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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.<\/jats:p>","DOI":"10.3233\/jifs-220572","type":"journal-article","created":{"date-parts":[[2022,11,22]],"date-time":"2022-11-22T11:01:01Z","timestamp":1669114861000},"page":"3603-3619","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Modeling and evolution analysis of patent competition strategy system of AI enterprises"],"prefix":"10.1177","volume":"44","author":[{"given":"Shugang","family":"Li","sequence":"first","affiliation":[{"name":"School of Management, Shanghai University, Shanghai, China"}]},{"given":"Xiaoru","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai, China"}]},{"given":"Beiyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai, China"}]},{"given":"Ying","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai, China"}]},{"given":"Hanyu","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Management, Shanghai University, Shanghai, China"}]},{"given":"Zhaoxu","family":"Yu","sequence":"additional","affiliation":[{"name":"Department of Automation, East China University of Science and Technology, Shanghai, China"}]}],"member":"179","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"issue":"10","key":"e_1_3_2_2_2","first-page":"3935","article-title":"Patent intelligence and business strategy","volume":"5","author":"Xiuhong W.","year":"2011","unstructured":"XiuhongW., Patent intelligence and business strategy, African Journal of Business Management 5(10) (2011), 3935\u20133941.","journal-title":"African Journal of Business Management"},{"issue":"119959","key":"e_1_3_2_3_2","first-page":"1","article-title":"How does patent transfer affect innovation of firms","volume":"154","author":"Kwon S.","year":"2020","unstructured":"KwonS. and PhillipsF., How does patent transfer affect innovation of firms, Technological Forecasting and Social Change 154(119959) (2020), 1\u201331.","journal-title":"Technological Forecasting and Social Change"},{"key":"e_1_3_2_4_2","doi-asserted-by":"crossref","unstructured":"YangY. 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