{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T11:30:06Z","timestamp":1788003006158,"version":"build-2784847793"},"reference-count":27,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2025,3,16]],"date-time":"2025-03-16T00:00:00Z","timestamp":1742083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Humanities and Social Sciences Research Project of the Ministry of Education of China","award":["23JDSZ3020"],"award-info":[{"award-number":["23JDSZ3020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>From the perspective of the talent supply chain, this paper employs evolutionary game theory to study the decision-making behaviors of university graduates\u2019 employment-related participants, establishes a tripartite evolutionary game model of enterprises, graduates, and universities based on prospect theory, and analyzes the main factors affecting the system game strategy by combining numerical simulation. The evolutionary game theory is a theory that integrates game theory with the analysis of dynamic evolutionary processes, studying the strategy selection and dynamic equilibrium of bounded rational participants in complex environments. The findings are as follows: (1) The decision-makers influence and promote each other, and universities play a very important role in promoting the employment of graduates. (2) In the case of random initial probability, when the additional profit of each decision-maker is greater than their cost, enterprises, graduates, and universities can realize the ideal model of \u201crecruitment, participation in recruitment, active employment assistance\u201d. The higher the initial probability, the faster the system reaches a steady state. (3) Enhancing the risk perception of enterprises, graduates, and universities has a dual effect on the employment ecosystem. (4) The behavioral strategies of enterprises, graduates, and universities are affected by many factors, such as the initial probability, loss aversion degree, profit and loss sensitivity degree, talent loss risk, cost, and unemployment risk.<\/jats:p>","DOI":"10.3390\/systems13030205","type":"journal-article","created":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T06:36:23Z","timestamp":1742193383000},"page":"205","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Tripartite Evolutionary Game Analysis on the Employment of University Graduates from the Perspective of the Talent Supply Chain Based on Prospect Theory"],"prefix":"10.3390","volume":"13","author":[{"given":"Lingwei","family":"Fan","sequence":"first","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China"},{"name":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Business Administration, Northeastern University, Shenyang 110169, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiyu","family":"Lian","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China"},{"name":"Hebei Key Laboratory of Marine Perception Network and Data Processing, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,3,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1038\/s41586-022-05222-x","article-title":"Quantifying Hierarchy and Dynamics in US Faculty Hiring and Retention","volume":"610","author":"Wapman","year":"2022","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"103745","DOI":"10.1016\/j.jfineco.2023.103745","article-title":"Artificial Intelligence, Firm Growth, and Product Innovation","volume":"151","author":"Babina","year":"2024","journal-title":"J. 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