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This research aims to examine how two management strategies (symmetrical communication and inclusive management) work in handling workplace conflicts (interpersonal/organizational levels), especially with regard to employee advocacy and job turnover intentions.

A total of three employee survey datasets were used to test hypotheses and research questions. Two secondary datasets were obtained in South Korea (N = 600 and N = 285), and one dataset was collected in the USA (N = 381). A series of hierarchical multiple regressions were performed for each dataset.

All three studies showed that interpersonal workplace conflict increased not only job turnover but also advocacy. In addition, in South Korean employees, both symmetrical communication and inclusive management increased employee advocacy and decreased job turnover intentions. However, in the US data, only symmetrical communication had such effects, enhancing employee advocacy and lowering job turnover intentions.

The study provides insights for practitioners into how to handle workplace conflicts from the perspective of communication (symmetrical communication) and/or behavioral strategies (inclusive management). Also, as an index to examine the effectiveness of management strategies, this study suggests advocacy behavior of employees given its effect of “rallying the troops.”

The aim of this paper is to examine the effect of information disclosure by unlisted bond issuers on the stock price informativeness of listed firms in the same industry.

This paper takes advantage of information disclosure during the bond issuance and examines the spillover effect of unlisted bond issuers' information disclosure on listed firms in the stock market. The sample is composed of A-share firms listed on the Shanghai and Shenzhen stock exchanges from 2007 to 2018. All the data are obtained from the China Stock Market and Accounting Research and WIND databases. The impact of bond market information disclosure on price informativeness of listed firms in the same industry is identified through multivariate regression analyses.

Empirical results show that price informativeness of listed firms has a significantly positive association with the information disclosure of same-industry unlisted bond issuers. Further analyses show that the above finding is more significant when information disclosure of bond issuers is a more important channel for acquiring industry information (i.e. when industry is more concentrated, when economic uncertainty is high, and when industry information is less transparent) and understanding the industry competitive landscape (i.e. when bond issuers are relatively large, when bond issuers and listed firms have more direct product competition, when bond issuance firms are large-scale state-owned business groups), and when there are more cross-market information intermediaries (i.e. more cross-market institutional investors and more sell-side analysts). This paper indicates that information disclosure of bond issuers has a positive spillover effect on the stock market.

The novelty of the research is that the authors examine industry information spillover from unlisted firms to listed firms leveraging on unlisted firms' information disclosure in bond markets.

This study aims to explore the infrared imaging effect of fabrics coated with phase change material microcapsules (PCM-MCs), which are prepared by the initiation of ultraviolet (UV) light.

PCM-MCs were prepared by UV polymerization using paraffin (PA) as core material, polymethyl methacrylate as wall material and ferric chloride as photoinitiator. The effects of emulsifier dosage and emulsification temperature on the properties of PA emulsion were investigated. Scanning electron microscopy, particle size analysis, infrared spectroscopy, differential scanning calorimetry and infrared imaging test were used to characterize the properties of microcapsules.

The PCM-MCs with good morphology and particle size were prepared with 25 cm of the distance between light source and the liquid. The average particle size was 1.066 µm and the latent heat of phase transition was 19.96 J/g. After 100 accelerated thermal cycles, the latent heat only decreased by 1.8%. It had good heat storage stability and thermal stability. The fabric coated by the microcapsules exhibited a variable temperature hysteresis effect when placed in the sun, and presented a color close to the infrared images of the human palm under the external environment temperature close to the human body temperature.

The PCM-MCs prepared based on UV light initiation showed good thermal properties and its coated fabrics had an infrared decoy effect below the temperature of the human body.

This study explored the application of microcapsules in textiles.

The microcapsules had a certain application potential in infrared decoy effect.

The purpose of this paper is to reveal the mechanism of nitrite (NO_2⁻) for the surface passivation of carbon steels in acidic environments through investigating the influences of 0.01 mol/L NaNO₂ addition on the corrosion and passivation behaviors of Q235 carbon steel in acidic phosphate buffer (APB) solutions (pH 2 to 6).

The electrochemical techniques including open circle potential evolution, potentiodynamic polarization, electrochemical impedance spectroscopy and cyclic voltammetry were applied.

In APB solutions without NO_2⁻, the Q235 steel presented the electrochemical behaviors of activation (A), activation-passivation-transpassivation and self-passivation-transpassivation at pH 2 to 4, pH 5 and pH 6, respectively; the corrosion rate decreased with the up of pH value, and the surface passivation occurred in the pH 5 and pH 6 solutions only: the anodic passivation at pH 5 and the spontaneous passivation at pH 6.

In APB solutions without NO_2⁻, the corrosion rate decreased with the up of pH value, and the surface passivation occurred in the pH 5 and pH 6 solutions only: the anodic passivation at pH 5 and the spontaneous passivation at pH 6. With the addition of 0.01 mol/L NaNO₂, into APB solutions, the variation of corrosion rate showed the same rule, but the surface passivation occurred over the whole acidic pH range, including the anodic passivation at pH 2 to 4 and the spontaneous passivation at pH 5 to 6.

Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be leveraged to enhance supply chain resilience.

Drawing on organizational information processing theory, the research investigates the impact of AI usage on proactive and reactive supply chain resilience by fostering referent power in the context of demand dynamism. The study analyzes survey data from 285 Chinese manufacturing firms using structural equation modeling and regression analysis.

The results indicate that AI usage can enhance both proactive and reactive supply chain resilience. Referent power only mediates the relationship between AI usage and reactive supply chain resilience. Furthermore, this mediating effect is stronger under high-level demand dynamism.

This study highlights the value of AI usage in strengthening supply chain resilience and uncovers its underlying mechanisms. Theoretical and practical implications are discussed.

Prior studies have consistently shown that leader psychological capital is beneficial for leader–member exchange (LMX) and followers’ outcomes. In this study, the authors challenge this consensus; they propose that a leader with high-level psychological capital may decrease LMX and promote followers’ turnover intention when encountering a follower with low-level psychological capital. Only congruent psychological capital in leader–follower dyads increases LMX and decreases turnover intention.

A two-wave survey was designed to collect data from a sample of 207 leader–follower dyads in the service industries of China. Polynomial regression combined with the response surface analysis was used to test the hypotheses.

(1) LMX increased when the levels of psychological capital between leaders and followers were congruent, but LMX suffered when they were not congruent (e.g. leaders’ psychological capital was higher than followers’ or otherwise); (2) in the conditions of psychological capital congruence, LMX was higher when a leader’s and a follower’s psychological capital were both high than low; (3) LMX mediated the relationship between psychological capital congruence and followers’ turnover intention.

These findings provide a novel perspective on understanding of the function of psychological capital and its implications for turnover management.

Focusing on the corporations in China and aiming to figure out the significant connection between organizational justice perception and job satisfaction from Chinese setting, this study aimed to examine the effects of organizational justice upon job satisfaction of the full-time and part-time employees in the state owned enterprise (SOEs) and primate Chinese companies.

The study adopted the questionnaire to investigate more than 300 employees, and the empirical data of this paper is based on statistical analysis, such as confirmatory factor analysis, correlational and regression analysis.

The paper arrives at the conclusion that in SOEs, the employees’ perception about procedural justice was higher than distributive justice. While in private enterprises, the procedural justice and interactive justice were tested to have similar coefficients. The relationship between organizational justice and job satisfaction differed between full-time employees and part-time employees.

This study opens a new window for understanding how organizational justice influences employees’ job satisfaction in Chinese context, taking a further step to explore the different impacts of organizational justice on job satisfaction among different types of employees.

This paper collected data from both SOE and private companies in China, increasing the external validity of the findings. Meanwhile, the authors observed consistent findings with the studies in Western Society, which increase the generalization of our findings as well. The findings highlight the value of integrating literatures on organizational justice and job satisfaction.

This research addresses the diverse characteristics of existing railway steel bridges in China, including variations in construction age, design standards, structural types, manufacturing processes, materials and service conditions. It also focuses on prominent defects and challenges related to heavy transportation conditions, particularly low live haul reserves and severe fatigue problems.

The study encompasses three key aspects: (1) Adaptability assessment: It begins with assessing the suitability of existing railway steel bridges for heavy-haul operations through comprehensive analyses, experiments and engineering applications. (2) Strengthening: To combat frequent crack defects in the vertical stiffener end structure of girder webs, fatigue performance tests and reinforcement scheme experiments were conducted. These experiments included the development of a hot-spot stress S-N curve for this structure, validating the effectiveness of methods like crack stop holes, ultrasonic hammering and flange angle steel. (3) Service life extension: Research on the cruciform welded joint structure (non-fusion transfer type) focused on fatigue performance over the long life cycle. This led to the establishment of a fatigue S-N curve, enhancing Chinese design codes.

The research achieved several significant outcomes: (1) Successful implementation of strengthening and retrofitting measures on a 64-m single-span double-track railway steel truss girder on an existing heavy-duty line. (2) Post-reinforcement, a substantial 26% to 32% reduction in live haul stress on bridge members was achieved. (3) The strengthening and retrofitting efforts met design expectations, enabling the bridge to accommodate vehicles with a 30-ton axle haul on the railway line.

This research systematically tackles challenges and defects associated with Chinese existing railway steel bridges, providing valuable insights into adaptability assessment, strengthening techniques and service life extension methods. Furthermore, the development of fatigue S-N curves and the successful implementation of bridge enhancements have practical implications for improving the resilience and operational capacity of railway steel bridges in China.

The purpose of this paper is to achieve the trajectory tracking measurement of a moving target based on double position sensitive detectors (PSDs).

In this paper, first, a double PSD-based measurement system including hardware system and software system is built up. Then, the working principle is studied to calculate parameters, and calibration experience is conducted. Finally, this double PSD-based measurement system is used to test angular displacement and axial displacement on the tool magazine and automatic tool changer.

In the experiment, the maximum position error of a space point based on double PSD measurement system is 0.8566 mm, and the average error is 0.4716 mm. These results show that the built double PSD-based measurement system of trajectory tracking of a moving target is reasonable.

Combining the characteristics of the PSD and principles of binocular visual measurement, a non-contact three-dimensional measuring system based on double PSDs is developed. The designed double-based measurement system is quite suitable for measurement of a fast-changing illuminant or in the case that the tracking accuracy is not tight.

The safety performance of Delta robots is particularly important. Hence, this paper aims to improve the existing method to achieve efficient and safe robots.

This paper designs a generalized momentum extended state observer method to estimate external torque. Meanwhile, a dynamic threshold method for current torque is designed. In addition, a segmented safety response strategy based on task space position feedforward is introduced.

Simulation and experimental results verify the effectiveness of the proposed method.

This paper designs a dynamic threshold collision detection method that does not require external sensors. Compared with static threshold collision detection methods, this method can avoid false alarm problems. This paper also proposes a segmented safety response strategy, which can improve the efficiency and safety of Delta robots.