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This paper aims to explore the extent to which unionized employees are dissatisfied in Chinese Enterprise Trade Unions (CETUs) when they perceive high levels of the triple-role conflicts, as well as whether rights expectations will moderate these relationships. The authors define CETUs' triple-role conflicts as the extent to which CETUs and their cadres prioritize fulfilling the roles of preserving social stability (“peace”) and/or maintaining the production order (“production”) over protecting worker's rights and interests (“workers” rights).

Pilot study developed the scales via both qualitative and quantitative studies, which include item generation using the transcript of individual interviews with 36 informants, and exploratory factor analyses with 106 respondents. The study used a sample of 327 employees from more than 20 firms in North and Southwest China.

Results indicate high reliability and validity of the scales and provide largely consistent supports for our hypotheses: three dimensions of triple-role conflicts are negatively related to employees' satisfaction in CETUs, and rights expectations moderate these relationships.

This study developed three scales to respectively measure CETUs' triple-role conflicts, rights expectation and satisfaction in CETUs. More importantly, the findings shed light on the moderating mechanism of rights expectation in the relationships between triple-role conflicts and satisfaction in CETUs.

Small talk, often regarded as a superficial interaction unrelated to work, is a pervasive and inescapable aspect of daily life and professional settings. In China, where the notion of guanxi – the cultivation of strategic relationships – is deeply valued, workplace small talk (WST) is a strategic tool used by employees to strengthen their interpersonal networks. This study aims to investigate the positive impact of WST on task performance within the Chinese workplace and explores the mechanisms underpinning this relationship.

This study adopted a time-lagged research design to test its hypotheses using data from 516 employees across various Chinese firms.

This study revealed that WST exerts both direct and indirect positive effects on task performance. It boosts task performance indirectly via two mediators: relational energy and positive affect. This study also delineated a chain mediation model wherein WST sequentially elevates task performance by first enhancing relational energy and then fostering positive affect.

Counter to the prevailing focus on the negative repercussions of WST, this study sheds light on its beneficial outcomes, proposing novel pathways connecting WST to task performance. These insights contribute to both academic discourse and the development of practical management strategies.

The purpose of this study is to explore the impact of work-to-family conflict (WFC) on unethical pro-family behavior (UPFB) and work engagement (WE) among Chinese female leaders. In addition, this study investigates the mediating role of work-to-family guilt (WFG) and the moderating role of family centrality (FC) in these relationships.

A quantitative approach was adopted, involving the collection of data through online questionnaires administered at three time points. These data were analyzed using hierarchical regression and the bootstrapping method to test the proposed hypotheses.

WFC exhibited a significant positive correlation with UPFB and a negative correlation with WE; WFG played a mediating role in the relationships between WFC and both UPFB and WE; and FC had a significant moderating effect on the relationship between WFC and WE.

This study sheds light on a model of WFC and its related effects, reveals how WFC affects UPFB and WE and uncovers the mediating role of WFG and the moderating role of FC; pays attention to a unique organizational behavior, UPFB, which enriches research on the antecedents influencing such behaviors; and examines Chinese female leaders in organizations, their current experience of WFC and the resulting psychological and behavioral outcomes.

The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method.

The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms.

The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time.

The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.

The purpose of this study is to develop a model that integrates self-conscious emotions (i.e. anticipated guilt and anticipated pride) alongside the theory of planned behavior’s key explanatory factors to challenge the idea that recycling behavior is driven mainly by cognitive factors. The model is empirically validated in the United Arab Emirates (UAE), a region where research are lacking despite generating one of the highest per capita solid waste and holding one of the lowest recycling rates.

The data was collected from the general public in the UAE using a two-wave survey (n = 287). The first wave of data collection measured the constructs except for the actual recycling behavior. The second wave assessed the respondent’s self-reported recycling behavior for the previous fortnight.

Anticipated guilt, subjective norms, perceived effort and recycling knowledge are the main drivers of the intention to recycle. The latter impacts the actual recycling behavior positively. Attitude toward recycling and anticipated pride failed to predict the intention to recycle. Awareness of consequences triggers only anticipated pride, while the degree of concern is a significant predictor of both anticipated pride and guilt.

One key implication of this research is that governments in the Middle East have not only to focus on cognitive factors but also emotions to promote recycling behavior.

This study adds to the pro-environmental literature by showing that the decision to recycle is not only based on cognitive factors but also anticipated guilt. It is also one of the first that explore recycling behavior in the UAE.

The purpose of this paper is to study the pipe-type electromagnetic induction heating device under power frequency condition.

To reduce eddy current loss and improve heating efficiency, the structure of a pipe-type power-frequency electromagnetic heating device was optimized. Based on the maximum load flow formula, a parallel excitation winding structure is designed, and the distribution of electromagnetic field under four different powers is analyzed by simulation. Four heating modes were proposed according to the structure of diversion ring, inner wall and outer wall. Two heating modes with better heating effect were obtained by comprehensively considering the factors such as magnetic field distribution, thermal power and energy consumption.

The double-wall structure of the pipe-type electromagnetic heating device can make the heat source distribution more uniform, and the use of power-frequency power supply can increase security, the installation of diversion ring can make the heating more sufficient and the heating efficiency of the two heating methods selected according to the structural performance is more than 90%.

In view of the medium or high frequency of pipe-type electromagnetic heating device, it is necessary to configure high power electronic frequency conversion drive system, and eddy current can only be produced on the tube wall, resulting in uneven distribution of heat sources. A pipe-type power-frequency electromagnetic heating device with double-wall structure was proposed.

A major difficulty in continuous speech recognition research is the lack of effective and objective evaluation of the statistical models of text. Herbert Simon's view for evaluating theories is here applied to the statistical modelling of text. Three significant contributions can be identified. First, a time‐series representation of text is used to identify three well‐known empirical laws of text generation. These laws provide an effective and objective approach for evaluating four leading statistical models of text. Second, it is shown that the Simon‐Yule model of text provides a constructive mechanism for those laws. Third, based on Simon's explanatory processes of imitation and association, an adaptive framework for continuous speech recognition is suggested.

Outlines previous research on the security analyst “superstar” phenomenon, including the stochastic model of Yule and Simon. Applies this to data on the 1986‐1997 selections for the Institutional Investor’s All‐British Research First Team (ABRT) and finds that it does not explain the distribution, i.e. that selection does appear to be based on skill rather than luck. Considers consistency with other research and expects future research to concentrate on the ABRT’s ability to forecast earnings per share and share prices.

This paper is concerned with estimation of the parameters of a high-frequency VAR model using mixed-frequency data, both for the stock and for the flow case. Extended Yule–Walker estimators and (Gaussian) maximum likelihood type estimators based on the EM algorithm are considered. Properties of these estimators are derived, partly analytically and by simulations. Finally, the loss of information due to mixed-frequency data when compared to the high-frequency situation as well as the gain of information when using mixed-frequency data relative to low-frequency data is discussed.