- 1Institute for Social Science Studies, Universiti Putra Malaysia, Serdang, Malaysia
- 2School of Culture and Communication, Guangdong Business and Technology University, Zhaoqing, China
- 3Faculty of Educational Studies, Universiti Putra Malaysia, Serdang, Malaysia
- 4Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, Malaysia
Purpose: This study investigates the relationship between psychological capital and employment expectations among vocational undergraduate students, with a particular focus on the mediating roles of educational flow experience and active coping style.
Methods: Data were collected through a questionnaire survey administered to 693 vocational undergraduate students at a university in Guangdong Province, China. The instruments used included the Positive Psychological Capital Scale (PPS), Career Expectation Scale (CES), Educational Flow Scale (EduFlow-2), and Coping Style Scale (CSS).
Results: (1) Psychological capital was found to exert a significant positive influence on employment expectations, educational flow experience, and active coping style. (2) Both educational flow experience and active coping style played significant mediating roles in a chain mediation model. Furthermore, a suppressor effect was identified in the mediation process.
Conclusion: This study confirms the significant influence of psychological capital on employment expectations and elucidates its underlying mechanisms. It highlights the critical roles of educational flow and active coping in shaping students' employment outlook, offering practical insights for enhancing employment outcomes among vocational undergraduates.
1 Introduction
1.1 Foundation
In recent years, the Chinese government has placed increasing emphasis on strengthening vocational undergraduate education as a core component in building a modern higher education system. The Action Plan for Building a Leading Education Power (2024–2035) explicitly calls for the acceleration of a modern vocational education framework, the expansion of vocational undergraduate institutions, and the development of high-quality universities with distinctive characteristics and advanced educational standards. It further advocates for vertical and horizontal integration between vocational and general higher education systems (Hou, 2025). These strategic initiatives signify a transition in the role of vocational undergraduate education—from a supplementary track to a central pillar in serving national development goals, particularly in the context of strengthening China's human capital and technological competitiveness.
As of 2025, the number of vocational undergraduate institutions in China has reached 60, with the development pipeline for vocational education continuously expanding. Simultaneously, national policies have deepened industry–education integration and enhanced university–enterprise collaboration, facilitating the establishment of practice-oriented hubs that combine teaching, training, and research. These efforts have improved the practical relevance and industrial adaptability of vocational education (Tianzuo et al., 2025). Notably, policy reforms are actively dismantling credential-based discrimination by granting vocational graduates equal access to residency permits, employment opportunities, and professional advancement, thus fostering a more inclusive and equitable talent development environment (Fan et al., 2024).
Despite these positive developments, vocational undergraduate education continues to face multifaceted challenges. Social perceptions of vocational education remain biased, with deeply entrenched hierarchical views on academic credentials undermining the legitimacy and attractiveness of vocational tracks. Compared with elite academic institutions, vocational universities still lag in student recruitment quality, social prestige, and resource allocation (Wang, 2022). These structural disparities in perception often translate into employment disadvantages, placing vocational graduates at a relative disadvantage in job acquisition, career advancement, and salary prospects. Against the backdrop of an increasingly saturated labor market, the employment anxiety and real-world difficulties faced by vocational undergraduates are especially pronounced (Song and Xu, 2024). Without targeted psychological and systemic support, these students may experience diminished confidence, reduced career identity, and weakened future expectations—ultimately threatening the attractiveness and sustainability of vocational education.
In current scholarship, employment expectations are defined as individuals' subjective anticipations regarding their future employment status, career development trajectory, and potential for achievement prior to entering the labor market (Treuren and Anderson, 2010). These expectations not only shape career decision-making and development paths but also strongly correlate with psychological wellbeing, life satisfaction, and job satisfaction. As such, employment expectations serve as a vital indicator of youth confidence and motivation in career development (Kong et al., 2015).
While previous research has primarily focused on external factors—such as individual competencies, leadership qualities, expectation-reality gaps, work experience, and family capital—relatively little attention has been paid to the internal psychological mechanisms that influence employment expectations (Drewniak et al., 2020; Ayoobzadeh et al., 2024; Xu et al., 2025; Zhang et al., 2025). In particular, the formation pathways, regulatory mechanisms, and psychological foundations of employment expectations among vocational undergraduates remain underexplored. Given the ongoing diversification of China's higher education system and the rapid expansion of vocational universities, it is critical to investigate the marginalized status and psychological adaptation of vocational graduates in the labor market.
In recent years, the rapid expansion of China's higher education system has led to an unprecedented surge in the number of university graduates. By 2025, the number of higher education graduates is projected to reach a record high of 12.22 million (Li et al., 2025). While this surge reflects the acceleration of mass higher education, it has also intensified structural pressures on youth employment. Coupled with slowing economic growth and industrial restructuring, the overall absorptive capacity of the labor market has declined, leading to increased job competition (Yang, 2024). In this context, vocational undergraduates—due to factors such as limited degree recognition, suboptimal program alignment with labor market needs, and persistent social stigma—are more vulnerable during job searches.
In response to these challenges, the Chinese government has introduced a series of comprehensive measures aimed at alleviating employment pressure. These include deepening industry–education integration, optimizing academic program structures, incentivizing small and medium enterprises to recruit graduates, and expanding policy-driven employment opportunities (Huang et al., 2024). However, beyond systemic interventions, the internal development of students' psychological capacities, coping mechanisms, and career beliefs is equally vital. Psychological capital, as a form of positive psychological resource, has been shown to enhance individuals' resilience and goal persistence when confronting complex employment scenarios. Educational flow experiences and active coping styles may serve as key mediating mechanisms through which psychological capital influences employment expectations.
Accordingly, this study aims to examine how psychological capital, educational flow experience, and active coping style collectively shape vocational undergraduate students' employment expectations. Specifically, we seek to test a chain mediation model to explore the underlying psychological mechanisms and provide empirical evidence and theoretical insights for advancing vocational education reform and improving graduate employment outcomes in contemporary China.
1.2 Aims and hypotheses
Psychological capital, a key construct at the intersection of positive psychology and organizational behavior, was introduced by Luthans et al. (2007) to describe an individual's positive psychological state during growth and development. It encompasses four core components—self-efficacy, hope, optimism, and resilience—collectively known as the HERO model. This theoretical framework emphasizes that internal psychological resources not only enhance individuals' adaptability in the face of challenges but also contribute positively to goal attainment and problem-solving processes. In recent years, psychological capital has gained increasing attention in the field of education, particularly in relation to students' employability, career planning, and psychological adjustment (Baluku et al., 2021). Prior research has demonstrated that higher levels of psychological capital strengthen students' confidence and goal-directed behaviors, thereby improving their ability to manage employment-related stress and adapt to occupational environments (Zhang L. et al., 2024). Moreover, psychological capital has been shown to enhance students' career decision-making self-efficacy, reducing confusion and uncertainty in career selection and fostering clearer and more positive employment expectations (Zhou A. et al., 2024). Based on this, we propose the following hypothesis:
H1: Psychological capital positively predicts employment expectations among vocational undergraduate students.
Educational flow experience is rooted in the flow theory of positive psychology (Csikszentmihalyi, 1990) and refers to a psychological state of deep concentration, immersion, and enjoyment during learning activities (Huang et al., 2025). Such a state typically occurs when the challenge level of a task matches the learner's perceived competence, leading to heightened engagement and a distortion of time perception (Heutte et al., 2016). In the context of higher education, educational flow has been recognized as a critical factor in promoting students' intrinsic motivation and enhancing learning outcomes (Shi et al., 2024). Research has found that frequent experiences of flow during learning are closely associated with stronger motivation and greater academic achievement (Yang et al., 2025). Additionally, educational flow is linked to a range of psychological variables, including emotional regulation, self-efficacy, and academic satisfaction, which in turn shape students' career development and employment expectations (Yen and Lin, 2022). According to Vroom's expectancy theory, an individual's motivation is determined by their belief in the likelihood of goal attainment and the perceived value of the outcome (Vroom, 1964; Amali et al., 2023). Educational flow strengthens students' engagement in the learning process and their expectations for success, thereby enhancing their motivational levels and influencing their employment expectations. Thus, we propose:
H2: Educational flow experience mediates the relationship between psychological capital and employment expectations among vocational undergraduates.
Coping style is a key concept in psychology, referring to the cognitive and behavioral strategies individuals use to manage stress and challenges (Bondarchuk et al., 2024). These strategies are generally categorized as either active or passive coping (Falloon et al., 2023). Active coping strategies aim to address or mitigate stressors and include behaviors such as seeking support, proactive planning, and problem-solving. In contrast, passive coping strategies involve avoidance, denial, or emotional venting, which are often ineffective and may exacerbate psychological distress (Zou et al., 2024; Lu et al., 2021).
In the educational domain, studies have shown that active coping strategies enhance students' mental health and subjective wellbeing (Jiang et al., 2021). For instance, these strategies can increase self-efficacy and reduce anxiety and depression, thereby improving students' adaptability and life satisfaction (Fischer et al., 2021). Psychological capital is also recognized as a crucial resource for promoting active coping. Students with higher psychological capital are more confident and motivated when facing difficulties, making them more likely to adopt effective coping strategies, which in turn can alleviate employment anxiety and boost employment expectations (Zewude and Hercz, 2021). Accordingly, we propose:
H3: Active coping style mediates the relationship between psychological capital and employment expectations among vocational undergraduates.
H4: Educational flow experience and active coping style jointly mediate the relationship between psychological capital and employment expectations in a chain mediation model.
Based on the theoretical background and literature review, a conceptual framework was developed (Figure 1), proposing that educational flow experience and active coping style serve as key mediators in the relationship between psychological capital and employment expectations, with a potential sequential pathway linking the two mediators.
2 Method
2.1 Participants
A total of 693 vocational undergraduate students from a university in Guangdong Province, China, participated in this study. Among them, 377 were female (54.40%) and 316 were male (45.60%). Their ages ranged from 18 to 22 years, with a mean age of 19.970 years (SD = 1.362). All data were collected anonymously to ensure participant privacy.
2.2 Instruments
2.2.1 Psychological capital
The Positive Psychological Capital Scale (PPS; Zhang et al., 2010) was used to assess the four components of psychological capital. The scale includes 7 items for self-efficacy, 7 for resilience, 6 for optimism, and 6 for hope. The PPS has been validated for use among Chinese university students and exhibits strong reliability and construct validity (Pan and Wu, 2022). A 7-point Likert scale was used (1 = strongly disagree; 7 = strongly agree). Items 8, 10, 12, and 14 (resilience) and item 25 (hope) were reverse-coded. Higher scores indicated higher levels of psychological capital. Cronbach's alpha coefficients for the subscales ranged from 0.943 to 0.960. Confirmatory factor analysis yielded satisfactory fit indices: χ2/df = 2.728, RMSEA = 0.049, CFI = 0.979, NFI = 0.967, GFI = 0.917.
2.2.2 Employment expectations
The Career Expectation Scale (CES; Manhardt, 1972) was used to assess students' employment expectations across four dimensions: long-term career success (6 items), work environment and interpersonal relations (5 items), autonomy and self-fulfillment (8 items), and professional values (6 items). The CES has demonstrated good psychometric properties in Chinese student populations (Chullen et al., 2015). A 7-point Likert scale was used (1 = strongly disagree; 7 = strongly agree). Higher scores indicate stronger employment expectations. Cronbach's alpha coefficients ranged from 0.853 to 0.942. Fit indices were as follows: χ2/df = 2.197, RMSEA = 0.042, CFI = 0.986, NFI = 0.975, GFI = 0.936.
2.2.3 Educational flow experience
The EduFlow-2 Scale (Heutte et al., 2021) was used to measure four dimensions of educational flow: cognitive control (3 items), immersion and time transformation (3 items), loss of self-consciousness (3 items), and autotelic experience (3 items). The Chinese version has shown high reliability and validity (Shi et al., 2024). A 7-point Likert scale was used (1 = strongly disagree; 7 = strongly agree). Higher scores reflected a stronger flow experience. Cronbach's alpha values ranged from 0.884 to 0.913. Fit indices were χ2/df = 2.775, RMSEA = 0.048, CFI = 0.989, NFI = 0.983, GFI = 0.965.
2.2.4 Active coping style
The Coping Style Scale (CSS; Chan, 1998) was used to assess coping styles across four dimensions: rational problem-solving (4 items), resigned distancing (4 items), seeking support and ventilation (4 items), and passive wishful thinking (4 items). The scale has demonstrated good reliability and validity in prior studies (Chan, 2007). A 7-point Likert scale was used (1 = strongly disagree; 7 = strongly agree). Items in the resigned distancing and passive wishful thinking subscales were reverse-coded. Higher scores indicated more active coping strategies. Cronbach's alpha coefficients ranged from 0.947 to 0.954. Model fit indices were χ2/df = 2.751, RMSEA = 0.049, CFI = 0.986, NFI = 0.979, GFI = 0.952.
2.3 Procedure
This study employed a convenience sampling method to recruit participants. Ethical approval was obtained from the Ethics Committee of Guangdong Business and Technology University on March 19, 2024 (Approval No.: 2024GS032). Data collection took place between April 10 and April 20, 2024, using an online survey platform. Before completing the questionnaire, participants were informed about the purpose and content of the study and provided written informed consent in accordance with institutional requirements. The survey was administered in a self-report format.
2.4 Data analysis
All data were entered, processed, and analyzed using SPSS 27.0, AMOS 27.0, and the PROCESS macro. Analytical procedures included descriptive statistics, Pearson correlation analysis, and mediation analysis to examine the chain mediation effect of educational flow experience and active coping style. To ensure consistency, all data were standardized using z-scores prior to analysis. Given the self-report nature of the data, Harman's one-factor test was employed to assess potential common method bias. Bootstrapping procedures were used to evaluate mediation effects, with 5,000 resamples and 95% confidence intervals. A mediation effect was considered statistically significant if the confidence interval for the indirect effect did not include zero.
3 Results
3.1 Common method deviation test
To assess potential common method variance, Harman's single-factor test was conducted on the measures of psychological capital, employment expectations, educational flow, and active coping. The analysis revealed 16 factors with eigenvalues >1, with the first factor accounting for only 25.93% of the total variance—well below the 40% threshold—indicating that common method bias was not a significant concern (Podsakoff and Organ, 1986).
3.2 Descriptive statistics
Table 1 presents the means, standard deviations, and Pearson correlations for the study variables. Psychological capital was moderately correlated with employment expectations (r = 0.597, p < 0.01), educational flow (r = 0.380, p < 0.01), and active coping (r = 0.449, p < 0.01). Employment expectations were also significantly correlated with educational flow (r = 0.500, p < 0.01) and active coping (r = 0.511, p < 0.01). Additionally, educational flow and active coping were moderately correlated (r = 0.349, p < 0.01). These results support the assumptions necessary for mediation analysis. All correlation coefficients were below 0.700, indicating no multicollinearity.
3.3 Main effect
When testing the main effect path using structural equation modeling (SEM), the standardized regression coefficients ranged from 0.59 to 0.86. The model demonstrated a good fit to the sample data: χ2 = 47.287, χ2/df = 2.489 (Schumacker and Lomax, 2004), RMSEA = 0.047 (<0.05; McDonald and Ho, 2002), CFI = 0.985, NFI = 0.975 (Hu and Bentler, 1999), GFI = 0.982, and TLI = 0.978 (Doll et al., 1994). Psychological capital accounted for 53.60% of the variance in employment expectations (β = 0.73, p < 0.001), supporting Hypothesis 1 (Figure 2).
3.4 Structural model
In the SEM model, standardized regression coefficients for the main paths ranged from 0.230 to 0.531. The structural model exhibited acceptable fit to the data: χ2 = 237.556, χ2/df = 2.424 (Schumacker and Lomax, 2004), RMSEA = 0.045 (<0.05; McDonald and Ho, 2002), CFI = 0.965, NFI = 0.943 (Hu and Bentler, 1999), GFI = 0.958, and TLI = 0.958 (Doll et al., 1994). Hypotheses 2 to 4 involved the mediating variables integrated into this structural model (Figure 3).
3.5 Mediating effect
To test the hypotheses, the bootstrapping method was applied to examine the chain mediation model from educational flow experience to active coping style in the relationship between psychological capital and employment expectations (Hayes, 2009). As shown in Table 2, the 95% confidence intervals (5,000 resamples) did not include zero (Zhang Z. et al., 2024). The direct effect of psychological capital on employment expectations was significant (β = 0.471, p < 0.001). For the path “psychological capital → educational flow → employment expectations,” the 95% CI excluded zero (β = 0.124, p < 0.001). Similarly, for “psychological capital → active coping → employment expectations,” the 95% CI also excluded zero (β = 0.110, p < 0.001). For the chain path “psychological capital → educational flow → active coping → employment expectations,” the CI again excluded zero (β = 0.024, p < 0.001), indicating a significant chain mediation effect.
4 Discussion
4.1 The impact of psychological capital on employment expectations
This study explored the influence of psychological capital on the employment expectations of vocational undergraduate students and found a significant positive predictive effect, supporting Hypothesis 1. In today's complex and uncertain higher education and employment landscape, understanding how individuals construct a stable and positive career identity has become a pressing issue (James et al., 2021). Psychological capital, reflecting the integration of internal resources and adaptive capacity, plays a fundamental role in shaping career beliefs, motivational systems, and goal-directed behavior (Zhou W. et al., 2024).
Psychological capital contributes not only to emotional regulation and self-worth maintenance but also translates into problem-solving ability, persistence, and future orientation in career contexts (Belle et al., 2022). Rather than viewing psychological capital as a single predictor, it should be understood as an embedded resource that influences multiple stages of career development, from motivation initiation to identity integration. Given the transformation of vocational education systems, educational interventions that foster psychological capital may be critical to enhancing students' long-term adaptability and development potential.
4.2 Chain mediation of educational flow and active coping
The study further revealed a significant chain mediation effect through the path “educational flow → active coping,” supporting Hypothesis 4. This finding is largely consistent with previous research (Georgiou et al., 2021) and offers new theoretical insight into how psychological capital operates through complex psychosocial mechanisms to shape employment cognition.
Specifically, the chain mediation model uncovered the following psychological pathway: first, psychological capital enhances students' positive perceptions of educational equity, upward mobility, and returns to education, thereby improving their educational flow experience (Kawalya et al., 2019). Educational flow, reflecting cognitively enriched beliefs about the empowering nature of education, helps students develop a clear and optimistic outlook on future opportunities, motivating them to adopt active coping strategies.
Second, educational flow positively predicts active coping (Khedmatian et al., 2022). When students perceive education as a viable pathway for social mobility, they are more likely to address challenges using problem-focused strategies. This conversion from institutional trust to behavioral motivation highlights how educational flow mobilizes students' psychological resources, enabling them to exhibit resilience and goal orientation in uncertain job markets.
Such coping strategies, in turn, enhance students' sense of control and sustained effort toward employment goals, indirectly reinforcing employment expectations. Participants showed greater self-efficacy, problem-solving capacity, and perseverance, shaping more optimistic and defined career expectations (Belle et al., 2022). This chain mediation pathway demonstrates that psychological capital influences employment expectations not only directly but also indirectly via a cognitive-affective-behavioral sequence.
Importantly, the chain model underscores the indirect and progressive nature of psychological capital's effect. Compared with single mediation paths, this sequential model better reflects the complexity of real-life psychological processes (Hou and Hu, 2024) and highlights the layered transmission of internal resources across beliefs, strategies, and outcomes. This finding also emphasizes that psychological capital development and educational flow experience should be jointly addressed to foster students' employment readiness.
4.3 Independent mediation and suppressor effects
Further analyses confirmed that educational flow and active coping independently mediated the relationship between psychological capital and employment expectations, supporting Hypotheses 2 and 3, which is consistent with previous studies (Adil et al., 2020; Sun et al., 2022). However, both mediators exhibited suppressor effects, meaning they attenuated the direct effect of psychological capital.
A suppressor effect occurs when introducing mediators weakens or reverses the direct relationship between the independent and dependent variables (MacKinnon et al., 2000). In this study, introducing educational flow and active coping reduced the strength of the direct path from psychological capital to employment expectations. This suggests that the mediators may partially obscure or counterbalance the direct positive influence of psychological capital.
In the case of educational flow, while high psychological capital typically enhances students' perceived control and future orientation, their perceptions of fairness and opportunity within the education system may be influenced by external instability. Students with high psychological capital but low perceived educational equity may moderate their expectations due to perceived systemic barriers (Sesen and Ertan, 2020), leading to a negative suppressor effect.
For active coping, although it is generally a beneficial resource, in highly competitive or structurally unequal employment environments, excessive reliance on individual coping may result in internalizing all responsibility for job outcomes. This overemphasis on self-responsibility can trigger stress and anxiety (Hecht, 2013), particularly when external limitations are ignored, thereby reducing employment expectations.
In summary, while both educational flow and active coping served as mediators, they also partially suppressed the direct effect of psychological capital on employment expectations. These findings deepen our understanding of mediation complexity and highlight the need to consider dual-function effects of seemingly positive variables in psychological models.
5 Conclusion
This study systematically investigated the relationship between psychological capital and employment expectations among vocational undergraduate students and verified the mediating roles of educational flow and active coping. Results revealed that psychological capital significantly predicts employment expectations, both directly and indirectly through two mediators, which also form a significant chain pathway.
Notably, the analysis uncovered suppressor effects, wherein the mediators weakened the direct influence of psychological capital. This finding challenges the conventional assumption that mediators uniformly enhance effects and highlights the potential for unintended cognitive and behavioral side effects.
Theoretically, the identified chain mediation model—“psychological capital → educational flow → active coping → employment expectations”—offers a nuanced framework for understanding how internal psychological resources shape career-related outcomes via cognitive and behavioral channels. The suppressor effect further refines our understanding by illustrating the complexity and context-dependence of positive psychological mechanisms.
Practically, the findings suggest that targeted interventions are needed to cultivate psychological capital among vocational students, such as training programs to enhance self-efficacy, hope, optimism, and resilience (Martono et al., 2022). Simultaneously, educational institutions should foster immersive and empowering learning environments to improve students' perceptions of educational mobility. However, educators and policymakers must also avoid overemphasizing personal responsibility in coping strategies, especially in structurally constrained job markets, as this may inadvertently lower students' career optimism.
This study has several limitations. (1) The sample was drawn from a single vocational university in Guangdong Province, which may limit generalizability. Future research should examine broader and more diverse populations. (2) This study focused on three key variables—psychological capital, educational flow, and active coping—while other potential influences on employment expectations, such as family capital or personality traits, were not included. Future studies should consider these additional factors to provide a more comprehensive understanding.
Future research should consider longitudinal designs to explore the temporal dynamics of suppressor effects and examine contextual moderators, such as perceived policy fairness or labor market signals, that shape the translation of psychological resources into career attitudes. Further exploration of the interplay between psychological traits, educational experiences, and coping behaviors can provide a more holistic basis for supporting the career development and adaptability of vocational undergraduates.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
Ethics statement
The studies involving humans were approved by Ethics Committee of Guangdong Business and Technology University. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants' legal guardians/next of kin.
Author contributions
ZH: Conceptualization, Methodology, Software, Writing – original draft, Writing – review & editing. II: Conceptualization, Data curation, Writing – review & editing. AG: Formal analysis, Methodology, Writing – review & editing. JD'S: Methodology, Supervision, Writing – review & editing. HA: Project administration, Validation, Writing – review & editing. ZZ: Data curation, Formal analysis, Funding acquisition, Investigation, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Adil, A., Ameer, S., and Ghayas, S. (2020). Impact of academic psychological capital on academic achievement among university undergraduates: roles of flow and self-handicapping behavior. Psych. J. 9, 56–66. doi: 10.1002/pchj.318
Amali, N. A. K., Seng, H. Z., Rahmat, N. H., Mustafa, N. C., and Ibrahim, I. W. (2023). An investigation of learners' motivational drive to learn foreign language: a look at Vroom's expectancy theory. Int. J. Acad. Res. Bus. Soc. Sci. 13, 580–596. doi: 10.6007/IJARBSS/v13-i3/16493
Ayoobzadeh, M., Schweitzer, L., Lyons, S., and Ng, E. (2024). A tale of two generations: a time-lag study of career expectations. Pers. Rev. 53, 1649–1665. doi: 10.1108/PR-02-2022-0101
Baluku, M. M., Mugabi, E. N., Nansamba, J., Matagi, L., Onderi, P., and Otto, K. (2021). Psychological capital and career outcomes among final year university students: The mediating role of career engagement and perceived employability. Int J Appl Posit Psychol. 6, 55–80. doi: 10.1007/s41042-020-00040-w
Belle, M. A., Antwi, C. O., Ntim, S. Y., Affum-Osei, E., and Ren, J. (2022). Am I gonna get a job? Graduating students' psychological capital, coping styles, and employment anxiety. J Career Dev. 49, 1122–1136. doi: 10.1177/08948453211020124
Bondarchuk, O., Balakhtar, V., Pinchuk, N., Pustovalov, I., and Pavlenok, K. (2024). Coping with stressfull situations using coping strategies and their impact on mental health. Mult. Rev. 7:2024spe034. doi: 10.31893/multirev.2024spe034
Chan, D. W. (1998). Stress, coping strategies, and psychological distress among secondary school teachers in Hong Kong. Am. Educ. Res. J. 35, 145–163. doi: 10.3102/00028312035001145
Chan, D. W. (2007). Perfectionism among Chinese gifted students in Hong Kong: relationships to coping strategies and teacher ratings. Gift. Educ. Int. 23, 289–300. doi: 10.1177/026142940702300310
Chullen, C. L., Adeyemi-Bello, T., and Xi, X.-Y. (2015). Job expectations of Chinese college students: re-examining gender differences. Equal. Divers. Incl. Int. J. 34, 742–763. doi: 10.1108/EDI-07-2015-0051
Doll, W. J., Xia, W., and Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quart. 18, 453–461. doi: 10.2307/249524
Drewniak, R., Drewniak, Z., and Posadzinska, I. (2020). Leadership styles and employee expectations. Eur. Res. Stud. 23, 398–411. doi: 10.35808/ersj/1768
Falloon, I. R., Laporta, M., Fadden, G., and Graham-Hole, V. (2023). Managing stress in families: Cognitive and behavioural strategies for enhancing coping skills. Milton Park: Routledge. doi: 10.4324/9781003413745
Fan, Y., Zheng, H., Ebonite, R. S., De Asis, W. R., and Juanatas, R. A. (2024). Overview and developmental analysis of China's technical and vocational education and training. Int. J. Innov. Res. Sci. Stud. 7, 251–260. doi: 10.53894/ijirss.v7i1.2606
Fischer, R., Scheunemann, J., and Moritz, S. (2021). Coping strategies and subjective well-being: context matters. J. Happiness Stud. 22, 3413–3434. doi: 10.1007/s10902-021-00372-7
Georgiou, K., Nikolaou, I., and Turban, D. B. (2021). The impact of a training intervention developing psychological capital on job search success. J. Career Dev. 48, 369–384. doi: 10.1177/0894845319852425
Hayes, A. F. (2009). Beyond Baron and Kenny: statistical mediation analysis in the new millennium. Commun. Monogr. 76, 408–420. doi: 10.1080/03637750903310360
Hecht, D. (2013). The neural basis of optimism and pessimism. Exp. Neurobiol. 22:173. doi: 10.5607/en.2013.22.3.173
Heutte, J., Fenouillet, F., Kaplan, J., Martin-Krumm, C., and Bachelet, R. (2016). “The EduFlow model: a contribution toward the study of optimal learning environments,” in Flow Experience: Empirical Research and Applications, Chapter: 9 eds. L. Harmat, F. Ø. Andersen, F. Ullén, J. Wright, G. Sadlo (New York: Springer International Publishing), pp. 127–143. doi: 10.1007/978-3-319-28634-1_9
Heutte, J., Fenouillet, F., Martin-Krumm, C., Gute, G., Raes, A., Gute, D., et al. (2021). Optimal experience in adult learning: conception and validation of the flow in education scale (EduFlow-2). Front. Psychol. 12:828027. doi: 10.3389/fpsyg.2021.828027
Hou, Y. (2025). China's National Education Conference Matters: major education discursive blueprinting in 2024. ECNU Rev. Educ. 8:20965311251318367. doi: 10.1177/20965311251318367
Hou, Z., and Hu, Y. (2024). The impact of stressful events on mental health among college students during the COVID-19 pandemic a study of the chain-mediated effects of cognitive mood and sense of meaning in life. Acad. J. Human. Soc. Sci. 7, 15–24. doi: 10.25236/AJHSS.2024.070203
Hu, L., and Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria vs. new alternatives. Struct Equ Modeling. Multidisp. J. 6, 1–55. doi: 10.1080/10705519909540118
Huang, X., Liu, Y., Deng, C., Guo, Y., and Xu, Y. (2024). Study on employment pressure on Chinese college students and constructing higher education strategies in the post—epidemic era. SHS Web Conf. 209:01007. doi: 10.1051/shsconf/202420901007
Huang, Z., Ismail, I. A., Ghazali, A. H. A., D'Silva, J. L., Abdullah, H., and Zhang, Z. (2025). The influence of psychological capital on employment expectations of vocational undergraduate students: the chain mediating role of active coping style and educational flow experience. PLoS ONE 2:e0319742. doi: 10.1371/journal.pone.0319742
James, S., Mallman, M., and Midford, S. (2021). University students, career uncertainty, and the culture of authenticity. J. Youth Stud. 24, 466–480. doi: 10.1080/13676261.2020.1742300
Jiang, X., Ji, L., Chen, Y., Zhou, C., Ge, C., and Zhang, X. (2021). How to improve the well-being of youths: an exploratory study of the relationships among coping style, emotion regulation, and subjective well-being using the random forest classification and structural equation modeling. Front. Psychol. 12:637712. doi: 10.3389/fpsyg.2021.637712
Kawalya, C., Munene, J. C., Ntayi, J., Kagaari, J., Mafabi, S., and Kasekende, F. (2019). Psychological capital and happiness at the workplace: the mediating role of flow experience. Cogent Bus. Manag. 6:1685060. doi: 10.1080/23311975.2019.1685060
Khedmatian, A., Naami, A. Z., Zarei, E., and Khalafie, A. (2022). Academic grit, academic flow, and academic thriving: mediating role of adaptive coping style. Iran. Evol. Psycho. J. 4, 244–255. doi: 10.52547/ieepj.4.2.244
Kong, H., Wang, S., and Fu, X. (2015). Meeting career expectation: can it enhance job satisfaction of Generation Y? Int. J. Contemp. Hosp. Manag. 27, 147–168. doi: 10.1108/IJCHM-08-2013-0353
Li, H., Liang, J., and Wu, B. (2025). Labor Market Experience and Returns to College Education in Fast-Growing Economies. J. Human Res. 60, 289–325. doi: 10.3368/jhr.0421-11629R2
Lu, G.-L., Ding, Y.-M., Zhang, Y.-M., Huang, H.-T., Liang, Y.-P., and Chen, C.-R. (2021). The correlation between mobile phone addiction and coping style among Chinese adolescents: A meta-analysis. Child Adolesc. Psychiatry Ment. Health 15, 1–11. doi: 10.1186/s13034-021-00413-2
Luthans, F., Avolio, B. J., Avey, J. B., and Norman, S. M. (2007). Positive psychological capital: measurement and relationship with performance and satisfaction. Pers. Psychol. 60, 541–572. doi: 10.1111/j.1744-6570.2007.00083.x
MacKinnon, D. P., Krull, J. L., and Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Preven. Sci. 1, 173–181. doi: 10.1023/A:1026595011371
Manhardt, P. J. (1972). Job orientation of male and female college graduates in business. Pers. Psychol. 25, 361–368. doi: 10.1111/j.1744-6570.1972.tb01111.x
Martono, S., WP, S. D., Yulianto, A., Purwanta, E., and Dwiningrum, S. I. A. (2022). Role of optimism, self-efficacy and motivation for goals achievement in academic resilience: moderating role of institutional support. Eurasian J. Educ. Res. 101, 1–16. doi: 10.14689/ejer.2022.101.010
McDonald, R. P., and Ho, M.-H. R. (2002). Principles and practice in reporting structural equation analyses. Psychol. Methods. 7:64. doi: 10.1037/1082-989X.7.1.64
Pan, L., and Wu, Y. (2022). An investigation on the characteristics of students' psychological capital of professional learning in zhejiang normal University—Taking physical education as an example. Open Access Libr. J. 9, 1–14. doi: 10.4236/oalib.1109121
Podsakoff, P. M., and Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. J. Manag. 12, 531–544. doi: 10.1177/014920638601200408
Schumacker, R. E., and Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Hove: Psychology Press. doi: 10.4324/9781410610904
Sesen, H., and Ertan, S. S. (2020). Perceived overqualification and job crafting: the moderating role of positive psychological capital. Pers. Rev. 49, 808–824. doi: 10.1108/PR-10-2018-0423
Shi, S. J., Li, J. W., and Zhang, R. (2024). A study on the impact of Generative Artificial Intelligence supported Situational Interactive Teaching on students' ‘flow' experience and learning effectiveness—A case study of legal education in China. Asia Pac. J. Educ. 44, 112–138. doi: 10.1080/02188791.2024.2305161
Song, X., and Xu, D. (2024). More graduates, fewer skills? Vocational education expansion and skilled labour shortages in China. China Q. 260, 970–985. doi: 10.1017/S0305741023001856
Sun, L., Zhang, Y., He, J., Qiao, K., Wang, C., Zhao, S., et al. (2022). Relationship between psychological capital and depression in Chinese physicians: the mediating role of organizational commitment and coping style. Front. Psychol. 13:904447. doi: 10.3389/fpsyg.2022.904447
Tianzuo, Y., Xiaomei, Y., and Yuqi, J. (2025). Vocational education in China. Education in China and the World. New York: Springer, p. 361. doi: 10.1007/978-981-97-7415-9_8
Treuren, G., and Anderson, K. (2010). The employment expectations of different age cohorts: is generation Y really that different? Aust. J. Career Dev. 19, 49–61. doi: 10.1177/103841621001900207
Wang, G. (2022). “A cultured man is not a tool”: the impact of confucian legacies on the standing of vocational education in China. J. Vocat. Educ. Train. 76, 179–196. doi: 10.1080/13636820.2021.2024590
Xu, K., Zhang, D., and Wang, M. (2025). How do career expectations affect the social withdrawal behavior of graduates not in employment, education, or training (NEETs)? The chain mediating role of human capital and problem-solving ability. Behav. Sci. 15:506. doi: 10.3390/bs15040506
Yang, P. (2024). “Growing pains: Higher education expansion and graduate employment in China,” in Mass Higher Education and the Changing Labour Market for Graduates Cheltenham: Edward Elgar Publishing (pp. 183–205). doi: 10.4337/9781035307159.00018
Yang, Y., Chen, J., and Zhuang, X. (2025). Self-determination theory and the influence of social support, self-regulated learning, and flow experience on student learning engagement in self-directed e-learning. Front. Psychol. 16:1545980. doi: 10.3389/fpsyg.2025.1545980
Yen, W.-C., and Lin, H.-H. (2022). Investigating the effect of flow experience on learning performance and entrepreneurial self-efficacy in a business simulation systems context. Interact. Learn. Environ. 30, 1593–1608. doi: 10.1080/10494820.2020.1734624
Zewude, G. T., and Hercz, M. (2021). Psychological capital and teacher well-being: the mediation role of coping with stress. Eur. J. Educ. Res.10, 1227–1245. doi: 10.12973/eu-jer.10.3.1227
Zhang, K., Zhang, S., and Dong, Y. (2010). Positive psychological capital: Measurement and relationship with mental health. Stud. Psychol. Behav. 8:58–64. Available online at: https://psybeh.tjnu.edu.cn/EN/Y2010/V8/I1/58
Zhang, L., Wider, W., Fauzi, M. A., Jiang, L., Tanucan, J. C. M., and Naces Udang, L. (2024). Psychological capital research in HEIs: bibliometric analysis of current and future trends. Heliyon 10:e26607. doi: 10.1016/j.heliyon.2024.e26607
Zhang, Z., Abdullah, H., Ghazali, A. H. A., D'Silva, J. L., Ismail, I. A., and Huang, Z. (2024). The influence of health awareness on university students' healthy lifestyles: the chain mediating role of self-esteem and social support. PLoS ONE 19:e0311886. doi: 10.1371/journal.pone.0311886
Zhang, Z., Abdullah, H., Ghazali, A. H. A., D'Silva, J. L., Ismail, I. A., and Huang, Z. (2025). Family capital and entrepreneurial intentions of vocational undergraduates: the chain mediating role of social support and critical thinking. Front. Educ.10:1462419. doi: 10.3389/feduc.2025.1462419
Zhou, A., Liu, J., Xu, C., and Jobe, M. C. (2024). Effect of social support on career decision-making difficulties: the chain mediating roles of psychological capital and career decision-making self-efficacy. Behav. Sci. 14:318. doi: 10.3390/bs14040318
Zhou, W., Feng, Y., and Jin, Q. (2024). How psychological capital impacts career growth of university students? The role of academic major choice. J. Career Dev. 51, 431–446. doi: 10.1177/08948453241253594
Keywords: psychological capital, employment expectations, educational flow experience, active coping style, vocational undergraduates, suppressor effect
Citation: Huang Z, Ismail IA, Ghazali AHA, D'Silva JL, Abdullah H and Zhang Z (2025) Uncovering a suppressor effect in the relationship between psychological capital and employment expectations: a chain mediation model among vocational undergraduates. Front. Psychol. 16:1461983. doi: 10.3389/fpsyg.2025.1461983
Received: 09 July 2024; Accepted: 26 May 2025;
Published: 17 June 2025.
Edited by:
Jesus de la Fuente, University of Navarra, SpainReviewed by:
Luis Carlos Jaume, University of Buenos Aires, ArgentinaGehad Mohammed Ahmed Naji, University of Technology Petronas, Malaysia
Geraldine Keawe, Independent Researcher, Los Angeles, CA, United States
Copyright © 2025 Huang, Ismail, Ghazali, D'Silva, Abdullah and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Zerui Huang, aHVhbmd6cmlvQGZveG1haWwuY29t; Zeqing Zhang, emhhbmd6cWx1bmFAZm94bWFpbC5jb20=