A Study on the Filling-in Cycle and Talent Mobility Characteristics of Key Positions in Public Research Institutions | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Study on the Filling-in Cycle and Talent Mobility Characteristics of Key Positions in Public Research Institutions Emily J. Thompson, Daniel R. McKenzie, Laura K. Bennett This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8923241/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract In the process of undertaking long-term research tasks, the filling efficiency of key technical and management positions in public research institutions directly affects the project's progress. This study analyzes the impact of different position attributes on recruitment efficiency, focusing on the filling-in cycle and talent mobility characteristics. The study selected 36 months of personnel and recruitment data from a national-level research institution, covering 1,384 job openings and 12,760 candidate records. Explanatory variables included job professional requirements, project cycle stage, salary range, and team size. Survival analysis was used to characterize the filling-in time distribution, and a proportional hazards model was used to estimate influencing factors. The results show that the median filling time for positions with higher professional requirements is extended by approximately 18 days, and the filling-in risk rate significantly decreases when the project is in a critical stage. The research results provide a quantitative basis for research institutions to formulate phased talent recruitment strategies. Public Administration Management Other Public Policy Public research institutions Job filling Survival analysis Talent mobility Human resource planning Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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