Research on the Effects of Influencing Factors of International Students on Employability: A Case Study in China

Abstract

The current study explored the effects of international students' influencing factors on their perceived employability: A case study of China. The explanatory research design was adopted to involve 514 international African students in the study. The research was conducted with a random sampling technique. Fifty (50)-test items standardized questionnaire was adopted as research instrument for the study. Using Structural Equation Modeling (SEM), the study found that there is a strong positive relationship between students' personal professional ability, university curriculum and social support, interpersonal and communication ability, social support and perceived employability. Four hypotheses were tested to determine whether they could predict international African students' perceived employability. Out of the four models, it was revealed that personal professional ability, university curriculum and social support, interpersonal and communication ability, social support significantly predicted international students' employability. The study found that the aforesaid variables have a significant positive effect on students' perceived employability and that an increase in any of the influencing factors would significantly and positively increase international African students' chances of employability after graduating from their respective universities in China. The study concluded that international African students could secure themselves employment after school within China or outside China if they take serious consideration of developing their personal professional abilities, interpersonal communication skills, social support from family and loved ones and become committed to the courses they are offered and taught in their respective university with uttermost precision and importance.

Unleashing Potential: Overcoming Bottlenecks and Catalyzing Innovations in Intellectual Capital Intellectualization of Small and Medium-Sized Enterprises in Jiangsu During the Post-Industrial Era

“…Since enough data points were available, PLS-SEM was used to evaluate the innovativeness of small and medium-sized enterprises in Jiangsu. PLS covers structural and measurement models and the evaluation of internal model validity and dependability (Kir et al, 2021; Owusu et al, 2022). In the past three decades, PLS has grown in importance in business research (Hair, Ringle, & Sarstedt, 2012).…”

“…By examining the interactions between the environment, the economy, and sustainable development, this study intends to give insight on the complexities of achieving environmental sustainability in key sectors (Ahakwa et al, 2023; Ahmed et al, 2022; Xu & Li, 2020). Prior studies have demonstrated that this sampling methodology is accurate and provides reliable outcomes (Cobbinah et al, 2020; Kir et al, 2021; Owusu et al, 2022; Sappor et al, 2023; F. A. Sarpong et al, 2022, 2023).…”

“…This assessment examines the parameters of the theoretical model and ensures its compatibility with the observed data. The significance of assessing model fit has been highlighted by multiple investigations (Benah & Li, 2020; Kir et al, 2021; Owusu et al, 2022).…”

“…This assessment examines the parameters of the theoretical model and ensures its compatibility with the observed data. The significance of assessing model fit has been highlighted by multiple investigations (Benah & Li, 2020;Kir et al, 2021;Owusu et al, 2022). Using t-statistics and path coefficient values, bootstrapping was applied to evaluate the relevance of the linkages between model components and the strength of associations between these structures.…”

Impact Of Sustainable Supply Chain Management Practices On Organizational Performance In Ghana

“…The model's "fitness" to the data is estimated to determine whether was deemed appropriate to measure the relationship that exist between the dependent and independent variables. Model fit evaluation is used to verify a theoretical model via parameter fitting (Benah & Li, 2020;Kir et al, 2021). The model's fitness was assessed using the RMSEA, CFI, TLI, GFI, NFI, and Standardized Root Mean Square Residual indices (SRMR).…”