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Drawing on a contagion-interpretation model of leader affective displays and leader effectiveness, the purpose of this paper is to examine the effects of leaders’ angry feedback on followers’ cognitive and affective reactions, and ultimately, perceived leader effectiveness across different cultural contexts.

In this paper, two experimental studies were conducted with a total of 528 participants.

The results revealed a culturally divergent cognitive effect: in Western cultures where vertical collectivism is low, leaders’ angry feedback reduced followers’ inferred developmental intention and subsequently, perceived leader effectiveness, whereas in East Asian cultures where vertical collectivism is high, leaders’ angry feedback reduced the two variables to a lesser extent or did not have any effect. In contrast, there was a culturally convergent emotional effect: the impact of leaders’ angry feedback on followers’ negative emotions and subsequently, perceived leader effectiveness was the same, regardless of the level of vertical collectivism.

This research is the first to demonstrate that culture – in particular, the dimension of vertical collectivism – has different impacts on the two mechanisms (i.e. cognitive and affective) through which leader’s angry feedback influences followers’ perceived leader effectiveness.

Leaders often provide negative feedback to underperforming followers with the intention of helping improve their performance. However, the anger expression that is often involved in the delivery of the feedback may cause followers to infer negative intentions and, thus, harm the effectiveness of the leader. The purpose of this paper is to examine, from a relational perspective, the condition under which the negative effect of leader anger expressions on leader effectiveness can be alleviated.

Data were collected from 355 participants in total through two main studies and two validation studies.

The author found that leader anger expression in negative feedback delivery had detrimental effects on leader effectiveness through follower-inferred negative intentions. More importantly, the detrimental effects of leader anger expressions on leader effectiveness were alleviated when followers had high levels of trust in their leaders.

Integrating leader emotion and trust literatures, the present research is the first to examine from a relational perspective (i.e. follower trust) the boundary condition under which leader anger expressions influence leader effectiveness.

Previous research draws on the dualistic model of passion (harmonious and obsessive passion) overlooks how the different two types of passion interact within individuals using a variable-centered approach. The purpose of this paper is to identify work passion profiles and their antecedent and consequences adopting a person-centered approach, and to explain inconsistences in previous studies.

This paper conducts three studies (n=2,749 in total) using a latent profile analysis. Study 1 identifies three work passion profiles, namely, dual passion, pro harmonious passion and pro obsessive passion; study 2 examines dialectical thinking as an antecedent to work passion profile membership; study 3 examines how each profile relates to work performance and well-being.

This paper finds that the participants with a dual passion profile showed higher task performance and subjective well-being than the participants with the other two profiles; the participants with a pro obsessive passion profile were higher in task performance, interpersonal performance and psychological well-being than the participants with a pro harmonious profile.

This paper is the first that uses a latent profile analysis approach to examining work passion configurations. It provides a unique perspective to investigate how different types of passion configure and interact within individuals; it explores an antecedent (i.e. dialectical thinking) and outcomes (i.e. performance and well-being) of the three work passion profiles.

The production planning problem with fine-grained information has hardly been considered in practice. The purpose of this study is to investigate the data-driven production planning problem when a manufacturer can observe historical demand data with high-dimensional mixed-frequency features, which provides fine-grained information.

In this study, a two-step data-driven optimization model is proposed to examine production planning with the exploitation of mixed-frequency demand data is proposed. First, an Unrestricted MIxed DAta Sampling approach is proposed, which imposes Group LASSO Penalty (GP-U-MIDAS). The use of high frequency of massive demand information is analytically justified to significantly improve the predictive ability without sacrificing goodness-of-fit. Then, integrated with the GP-U-MIDAS approach, the authors develop a multiperiod production planning model with a rolling cycle. The performance is evaluated by forecasting outcomes, production planning decisions, service levels and total cost.

Numerical results show that the key variables influencing market demand can be completely recognized through the GP-U-MIDAS approach; in particular, the selected accuracy of crucial features exceeds 92%. Furthermore, the proposed approach performs well regarding both in-sample fitting and out-of-sample forecasting throughout most of the horizons. Taking the total cost and service level obtained under the actual demand as the benchmark, the mean values of both the service level and total cost differences are reduced. The mean deviations of the service level and total cost are reduced to less than 2.4%. This indicates that when faced with fluctuating demand, the manufacturer can adopt the proposed model to effectively manage total costs and experience an enhanced service level.

Compared with previous studies, the authors develop a two-step data-driven optimization model by directly incorporating a potentially large number of features; the model can help manufacturers effectively identify the key features of market demand, improve the accuracy of demand estimations and make informed production decisions. Moreover, demand forecasting and optimal production decisions behave robustly with shifting demand and different cost structures, which can provide manufacturers an excellent method for solving production planning problems under demand uncertainty.

The purpose of this paper is to examine the moderating effect of organizational politics on the relationships between work engagement, in-role performance and organization citizenship behavior – organization (OCBO).

Theoretical hypotheses were tested using a sample of 107 supervisor-subordinate dyads in China. Outcome variables, such as in-role performance and OCBO, were rated by supervisors.

Contrary to the established literature on positive work engagement-work outcomes relationships, the findings supported the prediction that work engagement was negatively related to supervisor-rated in-role performance and OCBO when the organizational is perceived as highly political.

The sample size for this study is relatively small. In addition, the authors measured organizational politics from employees’ perspectives, which might not reflect reality objectively. Furthermore, the data were collected at a single time point, so causal relationships could not be validated.

When employees perceive the work environment as political, organizations need to be aware of non-work factors that may influence supervisors’ evaluation of employee performance to ensure they do not demotivate and discourage highly engaged employees.

Considerable research has shown that work engagement is positively related to in-role performance and OCBO. The present study, however, challenges and extends previous research by suggesting that work engagement can lead to low supervisor evaluation of in-role performance and OCBO when the organization is perceived to be political.

The purpose of this paper is to investigate the influence of sprue distributions on the flow field and temperature field of the cladding casting process and verify the simulation results by experiments.

A steady-state mathematic model for the coupling of fluid flow, heat transfer and solidification to describe the process of cladding casting was present. The effect of sprue distributions on melt flow and temperature field was discussed. Based on the numerical simulation results, the cladding billet was prepared successfully. Moreover, the model has been verified against by temperature measurements during the cladding casting process.

There is a good agreement between the measured and calculated results. The homogeneity of melt flow determines the formability of cladding billets and circular temperature difference affects the bonding of the two alloys. The AA4045/AA3003 cladding billet with no defects in size of f140/f110 mm was fabricated successfully. The alloy elements diffused across the interface and formed diffusion layer with a thickness of 15 µm. The interface bonding strength is higher than the tensile strength of AA3003, indicating the metallurgical bonding between two alloys.

The casting parameters are limited to the aluminum alloy cladding billet in size of f140/f110 mm in this paper.

There are few reports of cladding billet, which are used to prepare condense pipes of automotive engines. The effect of distribution schemes on the cladding casting process is rarely studied.

Previous research has demonstrated the importance of emotion recognition ability in negotiations and leadership, but scant research has investigated the role of emotion recognition ability in service contexts. The purpose of this paper is to propose and test a compensatory model in which service employees’ emotion recognition ability helps enhance their job performance, particularly when employees score low on the agreeableness personality dimension or have low cognitive ability.

With a two-wave multisource dataset collected from a service center of a large retail bank, multiple regression analysis was used to test the moderating roles of agreeableness and cognitive ability on the relationship between service employees’ emotion recognition ability and their performance.

Service employees’ emotion recognition ability helped enhance their job performance. However, the positive effect of emotion recognition ability on job performance was only statistically significant when employees’ agreeableness or cognitive ability was low.

The findings have important implications for how service organizations select and recruit employees. In particular, service employees with low agreeableness or cognitive ability may still be able to perform well when possessing high emotion recognition ability. Therefore, emotion recognition ability should be considered in the selection and recruitment process.

Going beyond self-report measures of emotion recognition and using a performance measure from organizational records, this study is one of the first to examine how emotion recognition ability interacts with personality and cognitive ability in predicting service employees’ effectiveness in a service organization.

With the development of integrated circuit and communication technology, digital secure communication has become a research hotspot. This paper aims to design a five-dimensional fractional-order chaotic secure communication circuit with sliding mode synchronous based on microcontroller (MCU).

First, a five-dimensional fractional-order chaotic system for encryption is constructed. The approximate numerical solution of fractional-order chaotic system is calculated by Adomian decomposition method, and the phase diagram is obtained. Then, combined with the complexity and 0–1 test algorithm, the parameters of fractional-order chaotic system for encryption are selected. In addition, a sliding mode controller based on the new reaching law is constructed, and its stability is proved. The chaotic system can be synchronized in a short time by using sliding mode control synchronization.

The electronic circuit is implemented to verify the feasibility and effectiveness of the designed scheme.

It is feasible to realize fractional-order chaotic secure communication using MCU, and further reducing the synchronization error is the focus of future work.

The purpose of this study is to evaluate the effect of graphene, basalt flakes and their synergy on the corrosion resistance of zinc-rich coatings. As the important heavy-duty anticorrosion coatings, zinc-rich coatings provided cathodic protection for the substrate. However, to ensure cathodic protection, a large number of zinc powder made the penetration resistance known as the weakness of zinc-rich coatings. Therefore, graphene and basalt flakes were introduced into zinc-rich coatings to coordinate its cathodic protection and shielding performance.

Three kinds of coatings were prepared; they were graphene modified zinc-rich coatings, basalt flakes modified zinc-rich coatings and graphene-basalt flakes modified zinc-rich coatings. The anticorrosion behavior of painted steel was studied by using the electrochemical impedance spectroscopy (EIS) technique in chloride solutions. The equivalent circuit methods were used for EIS analysis to obtain the electrode process structure of the coated steel system. Simultaneously, the corrosion resistance of the three coatings was evaluated by water resistance test, salt water resistance test and salt spray test.

The study found that the addition of a small amount of graphene and basalt flakes significantly improved the anticorrosion performance of coatings by enhancing their shielding ability against corrosive media and increasing the resistance of the electrochemical reaction. The modified coatings exhibited higher water resistance, salt water resistance and salt spray resistance. The graphene-basalt flakes modified zinc-rich coatings demonstrated the best anticorrosion effect. The presence of basalt scales and graphene oxide in the coatings significantly reduced the water content and slowed down the water penetration rate in the coatings, thus prolonging the coating life and improving anticorrosion effects. The modification of zinc-rich coatings with graphene and basalt flakes improved the utilization rate of zinc powder and the shielding property of coatings against corrosive media, thus strengthening the protective effect on steel structures and prolonging the service life of anticorrosion coatings.

The significance of developing graphene-basalt flakes modified zinc-rich coatings lies in their potential to offer superior performance in corrosive environments, leading to prolonged service life of metallic structures, reduced maintenance costs and a safer working environment. Furthermore, such coatings can be used in various industrial applications, including bridges, pipelines and offshore structures, among others.