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Integrating the reciprocity and equity lenses, this study explores the curvilinear relationship between leader humility and employee organizational citizenship behaviors (OCBs) by introducing psychological entitlement and perspective taking, and constructing a moderated mediation curvilinear model aiming to provide a more comprehensive understanding of why and how leader humility affects OCBs.

Using multisource, three-wave data collected from 261 employees and 55 supervisors in China, we adopted multi-level modeling analysis to test the moderated mediation curvilinear model that links leader humility to OCBs.

We found a curvilinear relationship between leader humility and psychological entitlement, and psychological entitlement mediated the curvilinear indirect relationship between leader humility and OCBs. Furthermore, employees' perspective taking buffered this curvilinear indirect effect.

Following social exchange theory and prior research discussing the potential benefits and drawbacks of leader humility, this study developed and tested a moderated mediation curvilinear model of the relationship between leader humility and OCBs. Our study thus provides a more balanced and dialectical perspective on understanding the effects of leader humility and enriching the leadership process model. This study also offers actionable strategies for leaders and organizations to optimize the benefits of humble leadership.

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.

Despite the considerable research into China's industrial relation system, little attention has been focused on what do Chinese unions at the enterprise level do and how their daily work influences employees' work-related outcomes. Drawing on the theory of planned behavior, this paper aims to examine the impact of Chinese enterprise union practices on employees' change-oriented organizational citizenship behavior through the mediating roles of psychological safety, perceived insider status, and role breadth self-efficacy.

Data were collected from 450 employees at 45 unionized enterprises in China through a three-wave survey. Multilevel analyses were conducted to test the hypothesized effects.

Chinese enterprise union practices positively predicted change-oriented organizational citizenship behavior. Critically, psychological safety and role breadth self-efficacy mediated the positive relationship between Chinese enterprise union practices and change-oriented organizational citizenship behavior.

This study provides new evidence on the effectiveness of Chinese enterprise union practices from a perspective of employees' work-related outcomes. It also enriches the existing literature on antecedents of change-oriented organizational citizenship behavior and provides a “planned” perspective to understand the mechanism that underlies the relationship between Chinese enterprise union practices and change-oriented organizational citizenship behavior.

This study aims to investigate the impact and mechanism of new energy vehicle (NEV) information sources (IS) on mass consumers' purchase intentions (PIs) in China.

Around 902 valid questionnaires were collected using the questionnaire to analyze the different effects of three types of IS (official, interpersonal and commercial) on mass consumers' PIs. Besides, this study investigates the mechanisms by examining the mediating effect of perceived risk (PR) and the moderating effect of individual differences like age and education level.

The three types of NEV IS stimulate the PI of mass consumers, but there are some differences, with interpersonal information sources (IISs) having the strongest contribution, followed by official information sources (OISs) and commercial information sources (CISs) the least. Meanwhile, PR plays a mediating role in the effect of NEV IS on mass consumers' PIs, and age and education level moderate the influence paths. Specifically, the moderating effect of age mainly works on the negative impact of PR on PI, while education level moderates the influence of IS on PR.

This study contributes to filling the gaps in the current understanding of the role played by NEV IS in shaping consumer preferences and choices. It provides valuable insights for automotive manufacturers, policymakers and marketers to tailor their marketing strategies and improve information dissemination to effectively promote NEV adoption among mass consumers.

This study aims to propose a learning pattern analysis method which can improve a predictive model’s performance, as well as discover hidden insights into micro-level learning pattern. Analyzing student’s learning patterns can help instructors understand how their course design or activities shape learning behaviors; depict students’ beliefs about learning and their motivation; and predict learning performance by analyzing individual students’ learning patterns. Although time-series analysis is one of the most feasible predictive methods for learning pattern analysis, literature-indicated current approaches cannot provide holistic insights about learning patterns for personalized intervention. This study identified at-risk students by micro-level learning pattern analysis and detected pattern types, especially at-risk patterns that existed in the case study. The connections among students’ learning patterns, corresponding self-regulated learning (SRL) strategies and learning performance were finally revealed.

The method used long short-term memory (LSTM)-encoder to process micro-level behavioral patterns for feature extraction and compression, thus the students’ behavior pattern information were saved into encoded series. The encoded time-series data were then used for pattern analysis and performance prediction. Time series clustering were performed to interpret the unique strength of proposed method.

Successful students showed consistent participation levels and balanced behavioral frequency distributions. The successful students also adjusted learning behaviors to meet with course requirements accordingly. The three at-risk patten types showed the low-engagement (R1) the low-interaction (R2) and the non-persistent characteristics (R3). Successful students showed more complete SRL strategies than failed students. Political Science had higher at-risk chances in all three at-risk types. Computer Science, Earth Science and Economics showed higher chances of having R3 students.

The study identified multiple learning patterns which can lead to the at-risk situation. However, more studies are needed to validate whether the same at-risk types can be found in other educational settings. In addition, this case study found the distributions of at-risk types were vary in different subjects. The relationship between subjects and at-risk types is worth further investigation.

This study found the proposed method can effectively extract micro-level behavioral information to generate better prediction outcomes and depict student’s SRL learning strategies in online learning. The authors confirm that the research in their work is original, and that all the data given in the paper are real and authentic. The study has not been submitted to peer review and not has been accepted for publishing in another journal.

The purpose of this paper is to explore the domain relevance of a comprehensive yet almost overlooked theoretical framework for studying organic food purchase behavior in a global context. This conceptual paper argues that there exists an apparently powerful model in health behavior domain that may readily be brought into organic food purchase behavior research. The paper argues for domain relevance and proposes that Montano and Kasprzyk’s integrated behavior model may readily be used in organic food behavior studies with some relevant modification.

The paper follows an exploratory approach and shows how variables used in the past may be aggregated to the model in question. The challenge is addressed by following both the inductive and the deductive reasoning. Deductive reasoning calls for investigating whether such behavior may be classified as health behavior. Inductive reasoning calls for proving relevance of all the variables in the aforesaid model to the organic food research context.

The paper concludes that the Montano and Kasprzyk’s model is theoretically relevant to the organic food behavior domain. However, it is observed that the domain-specific operationalization is necessary for further empirical studies.

Since the model was rarely tested empirically in predicting organic food purchase intention, the variable-specific relevance may not warrant the relevance of the whole model with intertwined relationships at the same time.

The paper may pave a way toward further empirical research and may also explain the apparent intention-behavior gap as often reported in literature.

The paper may provide a useful direction in future organic food purchase behavior studies by showing the domain relevance of an apparently powerful model, along with addition of some newer variables that may enrich the existing model.

Since China’s “opening-up” in the late 1970s, Singapore has played a major role in enhancing China’s engagement with the world, especially in economic terms. This traditional relationship is well manifested in the third government-to-government (G–G) project under the BRI, which is known as the Chongqing Connectivity Initiative (CCI). The purpose of this paper is to address the following question: despite Singapore’s initial reluctance to agree on a third G–G project with China, why did Singapore eventually decide to join the CCI?

This paper draws on archives of over 700 Chinese language media reports and over 400 English language media reports, as well as private interactions with scholars interested in Sino-Singapore relations and with both sides’ officials in charge of the CCI project.

The paper finds that it is the goal of connecting the region, along with the need to maintain Singapore’s relevance to China and the regional economy that led to Singapore’s participation in the third G–G project. This paper also uses this case to analyse the changes that are taking place in the bilateral economic relations.

Despite wide media coverage, op-ed commentaries and respective government statements, there are a limited number of academic studies on the rationale of the third G–G project and contemporary Sino-Singapore relations in the literature. The scholarship has not addressed the rationale for Singapore’s changing attitude towards CCI and the manner in which the CCI has improved cooperation (or upgraded cooperation to a broader and regional level).

The core aim of this study is to explore how psychological safety, psychological meaningfulness and psychological empowerment predict psychological well-being in a mediating role of promotive voice.

A cross-sectional survey is employed to collect data from 456 front-line employees (FLEs) working in the banking sector of Pakistan. The collected data were analyzed utilizing the structural equation modelling (SEM) technique.

The relationship between psychological safety and empowerment is significant. The results support the direct and mediating role of promotive voice to predict psychological well-being among frontliners. Interestingly, the mediation of promotive voice to predict the relationship between psychological meaningfulness and psychological well-being is not supported.

The managers should delegate authority to FLEs working at the front end. Moreover, voicing should be a delightful experience for employees. The management should listen to them carefully and also update the staff about the outcomes of suggestions rendered by them. Finally, rewarding employees can encourage promotive voicing among FLEs.

The psychological safety as an antecedent to promotive voice, promotive voice as a predictor of psychological well-being and the collectivist country context of Pakistan are unique products of this study.