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This paper aims to investigate the corrosion kinetics and corrosion behavior of NdFeB magnets with the addition of heavy rare earth dysprosium (Dy) for its inhibitory activity on poor corrosion resistance of NdFeB magnets.

To study the effect of dysprosium addition on corrosion behavior of NdFeB magnets and investigate its mechanism, potentiodynamic polarization, scanning electron microscopy (SEM), electrochemical impedance, energy dispersion spectrum (EDS) and scanning Kelvin probe force microscopy (SKPFM) were applied in the research. Besides, microstructures were observed by SEM equipped with EDS. Atomic force microscopy was introduced to analyze the morphology, potential image as well as the contact potential difference. The SKPFM mapping scan was applied to obtain the contact potential around Nd-rich phase at 0.1 Hz. The magnets were detected via X-ray diffraction.

Substitution of Nd with Dy led to improvement of corrosion resistance and reduced the potential difference between matrix and Nd-rich phase. Corrosion resistance is Nd-rich phase < the void < metal matrix; maximum potential difference between matrix and Nd-rich phase of Dy = 0, Dy = 3 and Dy = 6 Wt.% is 411.3, 279.4 and 255.8 mV, respectively. The corrosion rate of NdFeB magnet with 6 Wt.% Dy is about 67% of that without Dy at steady corrosion stage. The addition of Dy markedly enhanced the corrosion resistance of NdFeB magnets.

This research innovatively investigates the effect of adding heavy rare earth Dy to NdFeB permanent magnets on magnetic properties, as well as their effects on microstructure, phase structure and most importantly on corrosion resistance. Most scholars are studying the effect of element addition on magnetic properties but not on corrosion resistance. This paper creatively fills this research gap. NdFeB magnets are applied in smart cars, robotics, AI intelligence, etc. The in-depth research on corrosion resistance by adding heavy rare earths has made significant and outstanding contributions to promoting the rapid development of the rare earth industry.

Given the significance of innovation in enabling firms to maintain a long-term competitive edge and secure excess profits, this paper aims to investigate whether and how stakeholders’ attention to innovation (SATI) influences corporate innovation.

This paper introduces a novel variable, SATI, which is achieved by segmenting stakeholders’ attention into two categories: attention to innovation and attention to other facets, using textual analysis methods. Subsequently, this paper empirically examines the influence of SATI on corporate innovation.

This paper finds that SATI positively affects corporate innovation input, and the result remains true after addressing possible endogeneity issues using instrumental variable regression. Furthermore, the positive effect of SATI on corporate innovation is stronger in firms facing greater financing constraints, thus verifying the financing constraints hypothesis. The positive effect is also stronger in firms with lower risk-taking levels, thus confirming the innovation failure tolerance hypothesis. Further analysis suggests that SATI increases both corporate innovation output and efficiency, thus ruling out the catering hypothesis.

This paper highlights the importance of SATI in driving corporate innovation. It enriches the literature on the repercussions of stakeholders’ attention and determinants of corporate innovation. In addition, it provides practical suggestions for further implementing China’s national innovation-driven development strategy.

Since 1960s it has been realized that the bilateral trade at international level cannot be explained solely by the classical and neoclassical models of trade based on inter-industry trade. There is an existence of export and import within the same industry among the trading partners. Intra-industry trade (IIT) for products and product groups has been empirically observed by several studies. However, there is not much literature available on IIT in services. So also, from country perspective many studies are based on IIT for advanced countries. There is not much empirical evidence available for IIT among the emerging economies. The study aims to analyze the IIT in tourism services for five major emerging economies constituting BRICS – Brazil, Russia, India, China, and South Africa. The group constitutes 41% of world population with 24% of world GDP and 16% share in world trade. The study used both static and dynamic approaches to measure the IIT between India and other BRICS nations between 2018 and 2020. To empirically estimate the IIT, the study employs Grubel and Lloyd index and Brülhart index (MIIT). The study reveals that India had a very high level of intra-tourism trade with Brazil and South Africa. While with China and Russian Federation it was moderate. Results denote a correlation between the theory of international trade and tourism. There is two-way trade in BRICS tourism flows.

The Chinese government hopes to achieve the goal of benefiting citizens by building a National Integrated Online Government Service Platform (NIOGSP). However, citizens' low adoption of the platform makes it difficult for the government to achieve its goal. Research on the influencing factors of citizen adoption of NIOGSP can help the government fully understand the concerns and needs of its citizens and take targeted measures to increase citizen adoption.

First, this research builds a model of the citizen adoption process, including attention, retention and motivation, based on an observational learning model. Next, research variables are determined based on social cognitive theory, literature review and real-world needs. Finally, based on the questionnaire survey and structural equation model, the influencing factors of each stage of the citizen adoption process model are studied and the relationship between the three stages of the model is verified.

Results show that perceived usefulness (PU) and self-efficacy (SE) positively affect attention. SE positively affects retention, while perceived privacy (PP) negatively affects retention. PU, social influence, PP and anxiety positively affect motivation.

The conclusion of this study can provide reference for governments in various countries to establish and improve online one-stop government. In addition, this study verifies the citizen adoption process model and finds that there is no obvious causal relationship between attention and retention, but both have positive effects on motivation.

This paper explores the challenges of using cable-driven parallel robots on high-altitude, large-span facades, where redundancy in multicable systems and the elastic deformation of the cables are significant issues. This study aims to improve the accuracy and stability of the work platform through enhanced control strategies. These strategies address the redundancy in multicable systems and reduce the risks associated with cable deformation and mechanical failures during large-span movements.

The paper proposes a dynamic model for a four-rope parallel robot designed explicitly for large-span applications. The study introduces a position–force control strategy incorporating kinematic inverse solutions and a rope dynamics model to account for rope elasticity and its effects. This approach increases the number of system equations to match the unknowns, effectively solving the redundancy problem inherent in multicable systems. In addition, the tension changes of ropes and the stability of the working platform are examined under different motion distances (X = 50 m and X = 100 m) and varying Young’s modulus values (K = 5000 MPa and K = 8000 MPa).

This study’s large-span rope force–position control strategy successfully resolves the typical nonlinear characteristics and external disturbances in multicable parallel systems. By continuously monitoring and adjusting cable tension and end positions, this strategy ensures precise control over each cable’s tension, optimizes the distribution of cable tensions and maintains the system’s stability and response speed. The analysis in this paper indicates that this control strategy significantly improves the motion accuracy of robots operating on large-span high-altitude facades.

Industry adoption: The design and control strategies developed for the four-cable-driven parallel robot can be adopted by companies specializing in facade maintenance, construction or inspection. This could lead to safer, more efficient and cost-effective operations, especially in challenging environments like high-rise buildings. Innovation in robotic solutions: The research can inspire innovation within the field of robotics, particularly in developing robots for specific applications such as large surface maintenance. It showcases how adaptive control and stability can be achieved in complex operational scenarios. Safety improvements: By demonstrating a more stable and precise control mechanism for navigating large facades, the study could contribute to significant safety improvements, reducing the risk of accidents associated with manual facade maintenance and inspection tasks.

This paper combines the force/position hybrid control method with actual robotic applications, offering a novel solution to the complex issue of controlling cable-driven parallel robots in challenging environments. Thus, it contributes to the field. The proposed method significantly enhances the precision and stability of such systems and provides robust technical support for high-precision tasks in complex mechanical settings.

This research is aimed to mainly be applicable to expediting engineering projects, uses the method of inverse optimization and the double-layer nested genetic algorithm combined with nonlinear programming algorithm, study how to schedule the number of labor in each process at the minimum cost to achieve an extremely short construction period goal.

The method of inverse optimization is mainly used in this study. In the first phase, establish a positive optimization model, according to the existing labor constraints, aiming at the shortest construction period. In the second phase, under the condition that the expected shortest construction period is known, on the basis of the positive optimization model, the inverse optimization method is used to establish the inverse optimization model aiming at the minimum change of the number of workers, and finally the optimal labor allocation scheme that meets the conditions is obtained. Finally, use algorithm to solve and prove with a case.

The case study shows that this method can effectively achieve the extremely short duration goal of the engineering project at the minimum cost, and provide the basis for the decision-making of the engineering project.

The contribution of this paper to the existing knowledge is to carry out a preliminary study on the relatively blank field of the current engineering project with a very short construction period, and provide a path for the vast number of engineering projects with strict requirements on the construction period to achieve a very short construction period, and apply the inverse optimization method to the engineering field. Furthermore, a double-nested genetic algorithm and nonlinear programming algorithm are designed. It can effectively solve various optimization problems.

This paper aims to investigate the influence of religiosity on the relationship between abusive supervision and deviant work behavior (DWB). This paper examines whether the desire for revenge mediates the relationship between abusive supervision and DWB and whether the strength of this relationship is moderated by religiosity.

The proposed relationships were examined by collecting primary data from 350 employees using multistage sampling procedures. Hayes’ Process Macro was used to analyze the proposed moderated-mediation model of abusive supervision, DWB, religiosity and desire for revenge.

The analytical findings indicate that an employee’s desire for revenge mediates the relationship between abusive supervision and DWB. However, religiosity moderates the indirect effect of abusive supervision (mediated by the desire for revenge) on DWB.

To the best of the authors’ knowledge, this is the first study that explores the role of individual-level religiosity in mitigating the harmful effects of abusive supervision on deviant behavior and revenge in the workplace.

Drawing upon the conservation of resources (COR) theory, this study aims to examine whether ego depletion mediates the relationship between negative workplace gossip and employees’ service sabotage behavior and whether psychological resilience moderates the relationship between negative workplace gossip and service sabotage behavior through the mediator of ego depletion among hotel frontline employees and their colleagues.

A paired sample was collected at three-time points from employees and their colleagues working in hotels in Guizhou province, China. The PROCESS macro for SPSS was applied to examine the moderated mediation model.

The results showed that negative workplace gossip has a positive effect on employee service sabotage behavior, and that ego depletion mediates the relationship between negative workplace gossip and employee service sabotage behavior. Psychological resilience weakens the relationship between negative workplace gossip and ego depletion, as well as the indirect effect of negative workplace gossip on employee service sabotage behavior through ego depletion.

The present research provides a thorough understanding of when and how negative workplace gossip influences employee service sabotage behavior in the hospitality industry. The findings of this moderated mediation relationship expanded the boundary conditions of negative workplace gossip and employee service sabotage behavior.

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm.

According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode.

The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Cyber security incidents pose a major threat to organisations. Reporting cyber security incidents and providing organisations with information about their true nature, type and volume, is crucial to inform risk-based decisions. Despite the importance of reporting cyber security incidents, little research has addressed employees’ motivations to do so. Therefore, the purpose of this study is to investigate the factors that influence employees to report cyber security incidents using the theory of planned behaviour as a theoretical framework.

Survey data were collected from a sample of 549 working Australian adults. Demographics were gathered, in addition to data using the Cyber Security Incident Reporting Inventory (CSIRI; pronounced, “Siri”).

Attitude towards reporting, subjective norms and perceived behavioural control each significantly predicted intention-to-report cyber security incidents. Perceived behavioural control also significantly predicted actual reporting behaviour.

The results of this study validate the application of the theory of planned behaviour to the cyber security incident reporting context, also indicating that the relationship between intention to report a cyber security incident and actual reporting behaviour may be facilitated by perceived behavioural control.

These findings can be applied to inform the development of strategies that increase employees’ cyber security incident reporting behaviour.

This study outlines the development of a new tool to measure attitudes, subjective norms and perceived behavioural control in relation to the reporting of cyber security incidents. To the best of the authors’ knowledge, this is the first study of its kind to identify the relationship between these factors and intentions to report cyber security incidents.