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Sustainable Career Development of Chinese Generation Z (Post-00s) Attending and Graduating from University: Dynamic Topic Model Analysis Based on Microblogging

Author

Listed:
  • Peng Wang

    (School of Psychology, Shandong Normal University, Jinan 250358, China)

  • Mengnan Zhang

    (School of Psychology, Shandong Normal University, Jinan 250358, China)

  • Yike Wang

    (School of Psychology, Shandong Normal University, Jinan 250358, China)

  • Xiqing Yuan

    (School of Psychology, Shandong Normal University, Jinan 250358, China)

Abstract

Chinese generation Z (post-00s) are about to confront career decisions as the first batch of post-00s graduates. However, current career studies rarely take the post-00s, the liveliest group with characteristics of the era, as research subjects to investigate their beliefs, attitudes, values, motivation, career behavior, etc. Existing studies focused on the status quo of post-00s career education without dynamically studying the career development process from college to graduation. This study performed big data analysis, using the dynamic topic model (DTM), combing the golden triangle theory to study the career development of the post-00s in China. We summarized the “connection between individuals and others” as a new dimension and tried to propose a corrected theoretical model of the “golden triangle” that can help the post-00s make sustainable career decisions.

Suggested Citation

  • Peng Wang & Mengnan Zhang & Yike Wang & Xiqing Yuan, 2023. "Sustainable Career Development of Chinese Generation Z (Post-00s) Attending and Graduating from University: Dynamic Topic Model Analysis Based on Microblogging," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:1754-:d:1038576
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    References listed on IDEAS

    as
    1. Sumaira Kayani & Humaira Kayani & Khisro Kaleem Raza & Saima Kayani & Weijian Li & Michele Biasutti, 2022. "Interpersonal Factors Affecting Adolescents’ Career Exploration in PAKISTAN," Sustainability, MDPI, vol. 14(13), pages 1-12, June.
    2. Li, Daifeng & Ding, Ying & Shuai, Xin & Bollen, Johan & Tang, Jie & Chen, Shanshan & Zhu, Jiayi & Rocha, Guilherme, 2012. "Adding community and dynamic to topic models," Journal of Informetrics, Elsevier, vol. 6(2), pages 237-253.
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