Research Article
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Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population

Year 2026, Issue: 54 , 29 - 48 , 30.03.2026
https://doi.org/10.53570/jnt.1840399
https://izlik.org/JA99NC64AK

Abstract

This study proposes a comprehensive mathematical framework to investigate the emergence, progression, and reduction of job anxiety among senior undergraduate students and recent graduates. Job anxiety has emerged as a prominent psychological concern for students, stemming from a multitude of factors, including uncertainty regarding future employment prospects, academic pressure, and the transition to professional life. To capture the dynamic nature of this phenomenon, a compartment-based model is constructed by categorizing individuals into groups representing different levels of susceptibility, risk, anxiety, support, and recovery. The model diagram and the associated system of differential equations are formulated to describe the transitions between these parameters. The equilibrium points of the system are identified, and their stability properties are analyzed to determine the conditions under which job anxiety persists or diminishes within the population. The numerical analyses are conducted using parameter values obtained through a survey administered to university students. The simulation results demonstrate the progression of job anxiety over time and underscore the factors that contribute to its escalation or mitigation. These findings offer a quantitative perspective on the psychological challenges faced by students and demonstrate the potential of dynamic modeling to inform support strategies and intervention policies. The study concludes by focusing on the theoretical and practical implications of the proposed model and delineating future research directions to enhance student well-being during the transition to professional life.

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There are 33 citations in total.

Details

Primary Language English
Subjects Numerical Solution of Differential and Integral Equations, Numerical Analysis, Dynamical Systems in Applications
Journal Section Research Article
Authors

Mehmet Kocabıyık 0000-0002-7701-6946

Zeynep Sena Baloğlu 0009-0003-7265-189X

Submission Date December 11, 2025
Acceptance Date March 5, 2026
Publication Date March 30, 2026
DOI https://doi.org/10.53570/jnt.1840399
IZ https://izlik.org/JA99NC64AK
Published in Issue Year 2026 Issue: 54

Cite

APA Kocabıyık, M., & Baloğlu, Z. S. (2026). Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population. Journal of New Theory, 54, 29-48. https://doi.org/10.53570/jnt.1840399
AMA 1.Kocabıyık M, Baloğlu ZS. Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population. JNT. 2026;(54):29-48. doi:10.53570/jnt.1840399
Chicago Kocabıyık, Mehmet, and Zeynep Sena Baloğlu. 2026. “Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population”. Journal of New Theory, nos. 54: 29-48. https://doi.org/10.53570/jnt.1840399.
EndNote Kocabıyık M, Baloğlu ZS (March 1, 2026) Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population. Journal of New Theory 54 29–48.
IEEE [1]M. Kocabıyık and Z. S. Baloğlu, “Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population”, JNT, no. 54, pp. 29–48, Mar. 2026, doi: 10.53570/jnt.1840399.
ISNAD Kocabıyık, Mehmet - Baloğlu, Zeynep Sena. “Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population”. Journal of New Theory. 54 (March 1, 2026): 29-48. https://doi.org/10.53570/jnt.1840399.
JAMA 1.Kocabıyık M, Baloğlu ZS. Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population. JNT. 2026;:29–48.
MLA Kocabıyık, Mehmet, and Zeynep Sena Baloğlu. “Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population”. Journal of New Theory, no. 54, Mar. 2026, pp. 29-48, doi:10.53570/jnt.1840399.
Vancouver 1.Mehmet Kocabıyık, Zeynep Sena Baloğlu. Mathematical Modeling and Dynamical Analysis of Job Anxiety in a Student Population. JNT. 2026 Mar. 1;(54):29-48. doi:10.53570/jnt.1840399

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