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Responding to the call for more research on the consequences of grit, this study aims to examine the relationship between grit and employees’ perceived employability. Drawing on the self-determination theory, the authors hypothesize that job involvement and team member proactivity sequentially mediate the relationship between grit and employability.

A time-lagged research design with a one-month interval was conducted to collect data from three public sector organizations in China (N = 484). The model was tested using confirmatory factor analysis, correlation analysis and the PROCESS bootstrapping program in SPSS25.0 and AMOS21.0 software.

The findings reveal that the positive effect of grit on employability is mediated by job involvement and team member proactivity sequentially.

The authors contribute to the literature on the employability outcomes of grit. It is also one of a few studies that use a job perspective on the grit−employability relationship.

To reduce the wheel maintenance costs caused by wheel wear and to transition from traditional periodic maintenance to condition-based maintenance for railway freight wagons, it is necessary to investigate the prediction of wheel wear and understand the evolution rule of wheel profile wear.

This paper established a wheel wear prediction model for railway freight wagons based on Archard’s wear theory and proposed a prediction method that combines vehicle system dynamic, interpolation iteration and intelligent simulation. The wear coefficients in the model were obtained through wheel wear tests by using the roller rig. The model’s effectiveness was further verified through line testing and simulation models, and the corrected wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

The wheel wear prediction showed that the results of the wheel wear prediction model by adopting the wear coefficients obtained from the roller rig tests are close to the actual wheel wear, with the difference of the maximum in wear depth at the nominal rolling circle being within 7%.

This paper proposed a method that can establish a database of wheel wear coefficients for predicting wheel wear of railway freight wagons under similar operating conditions. The revised wear coefficient can be used for wear prediction of heavy-haul freight wagons in China.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2024-0329/