Search results

This study aims to investigate the mediating role of collective identity in the relations among transformational leadership, procedural justice and employee organizational commitment.

An empirical survey was conducted in 43 hotels in mainland China with 585 valid responses. In addition to descriptive statistics and the test of the presence of common method bias, a confirmatory factor analysis was conducted to test the validities and reliabilities of the variables; structural equation modeling and hierarchical regression analyses were conducted to test causal relations and the mediating effects of collective identity.

Results show that transformational leadership and procedural justice are good predictors of employee collective identity and organizational commitment. In addition to a strong impact on employee commitment, collective identity partially mediates the effects of transformational leadership and procedural justice on employee commitment.

This study is restricted to China’s hotel supervisors; therefore, caution should be taken when applying the findings to other sectors, regions and higher levels of leaders.

Findings of this study offer managerial insights for hotel supervisors to exercise transformational leadership and procedural justice to improve employee collective identity, which drives organizational commitment.

As an important concept, studies on the role of self-identity are limited in management and the field of leadership. This study tested the role of collective identity in leadership and organizational commitment in the context of Chinese culture, highlighting its theoretical and practical implications.

This study aims to investigate the effects of irregular groove textures on the friction and wear performance of sliding contact surfaces. These textures possess multiple depths and asymmetrical features. To optimize the irregular groove texture structure of the sliding contact surface, an adaptive genetic algorithm was used for research and optimization purposes.

Using adaptive genetic algorithm as an optimization tool, numerical simulations were conducted on surface textures by establishing a dimensionless form of the Reynolds equation and setting appropriate boundary conditions. An adaptive genetic algorithm program in MATLAB was established. Genetic iterative methods were used to calculate the optimal texture structure. Genetic individuals were selected through fitness comparison. The depth of the groove texture is gradually adjusted through genetic crossover, mutation, and mutation operations. The optimal groove structure was ultimately obtained by comparing the bearing capacity and pressure of different generations of micro-convex bodies.

After about 100 generations of iteration, the distribution of grooved textures became relatively stable, and after about 320 generations, the depth and distribution of groove textures reached their optimal structure. At this stage, irregular texture structures can support more loads by forming oil films. Compared with regular textures, the friction coefficient of irregular textures decreased by nearly 47.01%, while the carrying capacity of lubricating oil films increased by 54.57%. The research results show that irregular texture structures have better lubrication characteristics and can effectively improve the friction performance of component surfaces.

Surface textures can enhance the friction and lubrication performance of metal surfaces, improving the mechanical performance and lifespan of components. However, surface texture processing is challenging, as it often requires multiple experimental comparisons to determine the optimal texture structure, resulting in high trial-and-error costs. By using an adaptive genetic algorithm as an optimization tool, the optimal surface groove structure can be obtained through simulation and modeling, effectively saving costs in the process.