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The purpose of this paper is to investigate the moderating roles of trust in leaders and felt trust by leaders on the relationship between proactive personality and voice behaviour.

Self-report data were collected from 242 employees in China using an online survey.

Trust strengthens, whereas felt trust weakens the relationship between proactive personality and voice behaviour. Proactive personality is related to voice behaviour more positively when trust in leaders is high or when felt trust by leaders is low.

Trust in leaders and felt trust by leaders provide different motivational cues for employee proactivity. It would be wise for leaders to develop different trusting relationships with employees who have different levels of proactive personality. If leaders expect to promote voice behaviour in the workplace, they should gain trust from proactive employees by demonstrating their own trustworthiness while signalling or granting trust to less proactive employees by engaging in trusting behaviours.

The present research extends the boundary conditions of the effectiveness of proactive personality by demonstrating that proactive employees' motivation to speak up can be enhanced or substituted by relational variables. The authors thus underscore the importance of the personality × relations perspective when examining employee proactivity. In addition, the authors contribute to the trust literature by advancing the understanding of different roles of trust and felt trust in influencing proactive motivation in social interactions.

Based on the social exchange theory, this study explores the mechanism of leader–subordinate power distance orientation (PDO) congruence with employees' taking charge behavior (TCB) and also verifies the moderated mediation effect of employees' promotion regulatory focus (PROM-F) on leader–subordinate PDO congruence and on employees' TCB through trust in the leader (which is the mediator).

Based on 296 questionnaires from 46 teams of Chinese enterprises, the authors use cross-level polynomial regressions and response surface techniques to analyze the effect of leader–subordinate PDO congruence on employees' TCB and use the block variable technique to test the mediating effect of trust in the leader.

(1) When leader–subordinates' PDO is congruent, the leader–subordinate low-low PDO matching pattern leads to more employees' TCB than the leader–subordinate high-high PDO matching pattern. (2) When leader–subordinate PDO is incongruent, the leader–subordinate low–high PDO matching pattern will lead to more TCB than the high-low PDO pattern.

(1) Encourage and promote the development of diverse cultures in enterprises. (2) Respect the power and status of employees and encourage a low-PDO leadership style. (3) Increase credibility by developing and establishing a good corporate leader image.

(1) The unique background of this survey offers important cross-cultural information on the effects of leader–subordinate PDO congruence. (2) The results of this research enrich the theoretical understanding of the factors that influence TCB. (3) Reveal the internal mechanisms of CPD congruence with TCB and demonstrate an indirect effect of trust in leader. (4) The discussion of the moderating role of employee's PROM-F will also deepen the understanding of the exchange relationship between leaders and subordinates.

The purpose of this paper is to investigate the motivational mechanisms of felt obligation and intrinsic motivation by which felt trust affects promotive voice behaviour and to differentiate the role of two dimensions of felt trust (i.e. felt reliance and felt disclosure).

Self-report data were collected from 269 employees using a two-wave online survey with one-month intervals. A cross-lagged panel model and structural equation modeling were used to test the hypotheses.

Felt reliance has a positive and significant effect on voice behaviour whereas felt disclosure does not. The relationship between felt reliance and voice behaviour is mediated by felt obligation and intrinsic motivation. Moreover, felt disclosure can indirectly affect voice behaviour through intrinsic motivation.

Leaders could make employees feel trusted to promote voice behaviour by allowing latitude and providing information at work. Exhibiting reliance through empowerment and delegation is superior to disclosing personal information.

This paper contributes to the felt trust literature by investigating whether and how felt trust affects voice behaviour and by differentiating two dimensions of felt trust.

This paper aims to offer a convenient method to develop an oven recipe for a specific soldering profile in a reflow process. The method is devised to quickly achieve proper profile shape and heating factor Q_η, a measure of success for high reliability of the solder joints reflowed.

An in‐depth analysis of the heating mechanism and some experiments of the reflow soldering process are performed to research on how to realize a specific shape reflow profile were conducted.

Heating mechanism analysis and experiments demonstrate that the combinatorial parameters based method is feasible to do thermal profiling.

The mapping function among a particular configured PCBA, an oven used, a target reflow profile and an optimal range of the heating factor should be further established for fast and reliable production of reflow soldering.

Provides a methodology for designing an oven recipe for reflow soldering production.

An oven recipe can be quickly attained with the approach established in this paper, facilitating the formation of solder joints with high reliability during the reflow soldering process.

The paper's purpose is to provide a new spreading method for sheet metal parts, which aims to improve the standard radial spreading method.

A new radial spreading approach considering outside normal direction, which is based on geometric mapping method and triangle elements, is developed to resolve blank development in sheet metal forming.

Through practical applications, the effectiveness and usefulness of the approach presented are evaluated, and the development result is more reasonable, meanwhile, the obtained blank shape should be a better initial values in the application of one‐step analysis for fast deep drawing simulation.

This paper offers a more reasonable spreading method for sheet metal parts.

The purpose of this research is to study the management approach of automotive industry managers and students in China.

This paper focused on comparing the leadership orientation of respondents and compared 200 working managers with 181 graduate students in the automotive industry.

It appears that these Chinese respondents from the automotive industry have significantly higher scores on the relationship orientation than task orientation. Managers have significantly higher scores on both dimensions of leadership. Similarly, the female respondents in China had similar scores as their male colleagues.

It appears that being socialized in a collectivistic or high context culture can lead to higher focus on relationship orientation. Based on the results, practical implications and application for future research are explored.

This paper is original and analyzes the leadership orientation of respondents.

Educational data mining (EDM) discovers significant patterns from educational data and thus can help understand the relations between learners and their educational settings. However, most previous data mining techniques focus on prediction of learning performance of learners without integrating learning patterns identification techniques.

This study proposes a new framework for identifying learning patterns and predicting learning performance. Two modules, the learning patterns identification module and the deep learning prediction models (DNN), are integrated into this framework to identify the difference of learning performance and predicting learning performance from profiles of students.

Experimental results from survey data indicate that the proposed identifying learning patterns module could facilitate identifying valuable difference (change) patterns from student’s profiles. The proposed learning performance prediction module which adapts DNN also performs better than traditional machine techniques in prediction performance metrics.

To our best knowledge, the framework is the only educational system in the literature for identifying learning patterns and predicting learning performance.