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Drawing on experiential learning theory, this study seeks to understand how the perceived cultural difference in a foreign country and learning flexibility, which enables more integrated experiential learning from international experience, influence expatriates’ cultural intelligence (CQ) and consequently their adjustment and job performance.

Survey data were collected from 169 expatriates in China. Polynomial regression analyses were employed to test curvilinear relationships between cultural difference and CQ and between learning flexibility and CQ. Mediation hypotheses were tested either by the MEDCURVE procedure if a curvilinear relationship was confirmed or by the Haye’s Process procedure if a curvilinear relationship was not confirmed and instead a linear relationship was confirmed.

The results demonstrated a positive relationship between cultural difference and CQ and an inverted U-shape relationship between learning flexibility and CQ. CQ mediated the relationship between cultural difference and expatriate adjustment and partially mediated the relationship between learning flexibility and expatriate adjustment. CQ positively influenced expatriates’ job performance via expatriate adjustment.

Our findings suggest that companies should not hesitate to send expatriates on assignments to culturally very different countries and focus more attention on the selection of expatriates. The findings of this study suggest firms should choose candidates who are moderate or high in learning flexibility and could engage in integrated learning and specialized learning in a more balanced manner.

This research is the first study that examines the influence of learning flexibility on CQ and expatriate effectiveness. It examines cultural difference through the lens of experiential learning theory and argues that cultural difference constitutes “stimuli” in the experiential learning environment for individual learning in an international context. The results advance our knowledge of the role of experiential learning in developing capable global managers.

This paper aims to investigate the influence of cognitive style diversity on intra-group relationship conflict and individual-level organizational citizenship behaviors (OCBs). The role of leader-member exchange as a moderating variable is also examined.

The authors used hierarchical linear modeling and hierarchical regression analysis to analyze results from a sample of 344 members from 83 teams nested within 126 departments in six manufacturing organizations in the People’s Republic of China.

Results yielded general support for our hypothesized relationships between cognitive style diversity and intra-group relationship conflict. Leader-member exchange was also found to moderate the relationship between these two variables. Contrary to expectations, there were no relationships between these variables and individual-level organizational citizenship behaviors.

This research addresses calls from the team diversity and conflict literature to address the understudied area of deep-level cognitive diversity. Second, this study addresses previous calls for more team-level and mixed-level theory and methodology to inform OCB research. Third, this is the first study of group-level cognitive style diversity and the moderating influence of leader-member-exchange and provides valuable insights into ways of mitigating some of the negative effects of cognitive diversity on teams.

Drawing upon resource-based view (RBV) and attribution theoretical lenses, this chapter provides a paradigm for examining the interplay among environmental investment towards green innovation, environmental disclosure as well as firm performance using the structural equation modelling (SEM) methodology. This chapter demonstrate a growing environmental awareness among stakeholders of the relevance of environmental performance to share value. It is also suggested that the mediating power of environmental disclosure between environmental investment and firm value as well as incremental goodwill is crucial. The findings of this chapter provide critical implications for several stakeholders that if environmental performance is hypothesised to affect the firm's value, companies may take proactive measures to avert potential environmental-related violations. Besides, investors may trade based on the evidence as to how firm value and its goodwill from acquisition will be affected by news of its environmental performance.

Gang affiliation is strongly associated with youth crime. Although gang prevention, intervention and suppression programmes have been used to reduce affiliation and manage youth gang‐related activities, the effectiveness of these approaches is questionable. Further, comprehensive programmes supporting disengagement from gangs that also address the actual criminal behaviours of gang‐affiliated youth are rare. Arguably, these are necessary if the goal of intervention is to reduce criminal behaviour and support disengagement from gangs. This paper aims to address these issues.

This study sought to elucidate the criminogenic needs of gang‐ and nongang‐affiliated youth offenders (n=165) using two commonly used risk/need assessment instruments, the structured assessment of violence risk in youth (SAVRY) and the youth level of service/case management inventory (YLS/CMI).

The results revealed that gang‐ and nongang‐affiliated youth offenders had similar criminogenic need profiles except for one difference on an item measuring peer delinquency.

Gang‐affiliated youth offenders have comparable criminogenic needs to other youth offenders. These needs require intervention if a reduction in crime is desired, and since gang‐affiliated youth offenders are more likely to re‐offend than those that are nongang‐affiliated, these results also suggest that there may be additional needs, beyond those assessed by the SAVRY and YLS/CMI, which should be investigated and considered in rehabilitation programmes.

Few studies have directly compared the risk and needs profiles between gang‐ and nongang‐affiliated youth offenders using standardised risk assessment measures; this study may be relevant to professionals working in the juvenile justice and offender rehabilitation arenas.

Gang affiliation in youth is associated with increased criminal recidivism and an exaggeration of various criminogenic needs; affiliation also meets a variety of youth's personal and social needs. The purpose of this paper is to describe a study of the self-reported reasons for joining and leaving gangs, as well as the difficulties faced by Singaporean youth offenders in leaving youth gangs; it also explores the relationship between gang affiliation and family connectedness, educational attainment and early exposure to gangs.

This prospective study involved structured interviews and administration of questionnaires with 168 youth offenders in Singapore. Univariate and multivariate analyses were conducted to examine the research questions.

Gang-affiliated youth cited a desire to establish and maintain friendships as their primary reasons for joining a gang. Youth who left their gang reported maturing beyond this need and the activities of their gang, particularly in light of the deleterious impact of their gang-related activities on familial relationships and employment and financial status. Early exposure to gangs through family and neighborhood influences, and poor educational engagement increased the likelihood that youth would join a gang.

This study highlights the need for clinicians and other service providers to better understand the universal human needs that are met through gang affiliation and the correlates of affiliation.

Few studies have directly examined the factors relating to gang affiliation in a non-western context; this study may be relevant to professionals working in the juvenile justice and offender rehabilitation arenas.

Numerous scales have been developed and utilized in the tourism and hospitality field, yet, their psychometric properties have not been systematically reviewed and evaluated. This gap compromises researchers' ability to develop better measures and improve measurement decisions. In this current study, 56 scales were identified and evaluated in terms of their psychometric properties. It was found that most scales were imperfect in measuring tourism and hospitality domains, and most scales did not provide explicit information about the scale development procedures that were adopted. The scale development procedure and psychometric properties of the reviewed scales are summarized, evaluated, and recommendations are made for future tourism and hospitality scale development.

The electromechanical brake system is leading the latest development trend in railway braking technology. The tolerance stack-up generated during the assembly and production process catalyzes the slight geometric dimensioning and tolerancing between the motor stator and rotor inside the electromechanical cylinder. The tolerance leads to imprecise brake control, so it is necessary to diagnose the fault of the motor in the fully assembled electromechanical brake system. This paper aims to present improved variational mode decomposition (VMD) algorithm, which endeavors to elucidate and push the boundaries of mechanical synchronicity problems within the realm of the electromechanical brake system.

The VMD algorithm plays a pivotal role in the preliminary phase, employing mode decomposition techniques to decompose the motor speed signals. Afterward, the error energy algorithm precision is utilized to extract abnormal features, leveraging the practical intrinsic mode functions, eliminating extraneous noise and enhancing the signal’s fidelity. This refined signal then becomes the basis for fault analysis. In the analytical step, the cepstrum is employed to calculate the formant and envelope of the reconstructed signal. By scrutinizing the formant and envelope, the fault point within the electromechanical brake system is precisely identified, contributing to a sophisticated and accurate fault diagnosis.

This paper innovatively uses the VMD algorithm for the modal decomposition of electromechanical brake (EMB) motor speed signals and combines it with the error energy algorithm to achieve abnormal feature extraction. The signal is reconstructed according to the effective intrinsic mode functions (IMFS) component of removing noise, and the formant and envelope are calculated by cepstrum to locate the fault point. Experiments show that the empirical mode decomposition (EMD) algorithm can effectively decompose the original speed signal. After feature extraction, signal enhancement and fault identification, the motor mechanical fault point can be accurately located. This fault diagnosis method is an effective fault diagnosis algorithm suitable for EMB systems.

By using this improved VMD algorithm, the electromechanical brake system can precisely identify the rotational anomaly of the motor. This method can offer an online diagnosis analysis function during operation and contribute to an automated factory inspection strategy while parts are assembled. Compared with the conventional motor diagnosis method, this improved VMD algorithm can eliminate the need for additional acceleration sensors and save hardware costs. Moreover, the accumulation of online detection functions helps improve the reliability of train electromechanical braking systems.