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In response to the challenge of reduced efficiency or failure of robot motion planning algorithms when faced with end-effector constraints, this study aims to propose a new constraint method to improve the performance of the sampling-based planner.

In this work, a constraint method (TC method) based on the idea of cross-sampling is proposed. This method uses the tangent space in the workspace to approximate the constrained manifold pattern and projects the entire sampling process into the workspace for constraint correction. This method avoids the need for extensive computational work involving multiple iterations of the Jacobi inverse matrix in the configuration space and retains the sampling properties of the sampling-based algorithm.

Simulation results demonstrate that the performance of the planner when using the TC method under the end-effector constraint surpasses that of other methods. Physical experiments further confirm that the TC-Planner does not cause excessive constraint errors that might lead to task failure. Moreover, field tests conducted on robots underscore the effectiveness of the TC-Planner, and its excellent performance, thereby advancing the autonomy of robots in power-line connection tasks.

This paper proposes a new constraint method combined with the rapid-exploring random trees algorithm to generate collision-free trajectories that satisfy the constraints for a high-dimensional robotic system under end-effector constraints. In a series of simulation and experimental tests, the planner using the TC method under end-effector constraints efficiently performs. Tests on a power distribution live-line operation robot also show that the TC method can greatly aid the robot in completing operation tasks with end-effector constraints. This helps robots to perform tasks with complex end-effector constraints such as grinding and welding more efficiently and autonomously.

The current difficulties of distribution network working robots are mainly in the performance and operation mode. On the one hand, high-altitude power operation tasks require high load-carrying capacity and dexterity of the robot; on the other hand, the fully autonomous mode is uncontrollable and the teleoperation mode has a high failure rate. Therefore, this study aims to design a distribution network operation robot named Sky-Worker to solve the above two problems.

The heterogeneous arms of Sky-Worker are driven by hydraulics and electric motors to solve the contradiction between high load-carrying capacity and high flexibility. A human–robot collaborative shared control architecture is built to realize real-time human intervention during autonomous operation, and control weights are dynamically assigned based on energy optimization.

Simulations and tests show that Sky-Worker has good dexterity while having a high load capacity. Based on Sky-Worker, multiuser tests and practical application experiments show that the designed shared-control mode effectively improves the success rate and efficiency of operations compared with other current operation modes.

The designed heterogeneous dual-arm distribution robot aims to better serve distribution line operation tasks.

For the first time, the integration of hydraulic and motor drives into a distribution network operation robot has achieved better overall performance. A human–robot cooperative shared control framework is proposed for remote live-line working robots, which provides better operation results than other current operation modes.

Drawing on the resource gain development (RGD) perspective, this study is aimed to examine how servant leadership as an environmental resource and general self-esteem as a personal resource influence employees' family performance through work-to-family facilitation (WFF) and explore the moderating effects of gender and Chinese traditionality on the relationship between servant leadership and WFF.

Two-wave data were collected from 369 employees in China. The structural equation model and path analysis were used to analyze the data.

The results confirm that WFF mediates the effects of servant leadership and employees' general self-esteem on employees' family performance. Gender and Chinese traditionality moderate the relationship between servant leadership and WFF.

This study contributes to existing research by revealing how specific environmental resources (servant leadership) and personal resources (general self-esteem) impact employee family performance through WFF; it also identifies gender and Chinese traditionality as demand characteristics which moderate the effect of environmental resources on WFF.

This paper aims to explore how different service relationships (mentoring relationship versus partnering relationship) in service co-production affect service outcomes. Specifically, it aims to explore whether the effects of service relationships on customers’ intention to purchase the service are contingent upon service appeals’ regulatory focus (promotion versus prevention focus) and when the regulatory fit effects exist.

Three experimental studies were conducted to test hypotheses. ANOVA and bootstrapping were used to analyze the data.

The findings of the three experiments provide convergent evidence for the hypotheses. Specifically, when customers view service employees as mentors (versus partners) in service co-production, promotion-focused (versus prevention focused) service appeals effectively enhance customers’ intention to purchase the service because customers experience a regulatory fit. Moreover, the regulatory fit effects are strengthened or attenuated according to customers’ subjective social status.

Service firms should adopt promotion-focused (versus prevention-focused) service appeals if employees and customers are having mentoring (versus partnering) relationships, especially when customers have higher (lower) social status.

To better manage service co-production, this paper investigates beneficial outcomes of mentoring and partnering relationships from a regulatory fit perspective. It highlights the importance of compatibility between service relationship and service appeals’ regulatory focus and demonstrates a novel regulatory fit effect. It also uncovers engagement as the underlying mechanism for the regulatory-fit effect and identifies social class as a boundary condition.

Risks resulted from asymmetric information have become crucial barriers for commercial banks to implement supply chain finance (SCF) – mainly the inventory pledge financing (IPF). At the same time, online financial service providers (OFSPs) are emerging as strong competitors in the SCF market. As a result, commercial banks need to update their traditional SCF business models and alleviate their over-dependence on OFSPs.

The authors employ a multi-case-study method to investigate how the Internet of things (IoT) and blockchain technologies can be jointly leveraged to mitigate SCF risks. In-depth interviews were conducted to depict the business models and their novel ecosystem to reinforce traditional banks' ability in SCF services.

From the perspective of information asymmetry, the authors categorize IPF risks into three groups based on the principal-agent theory: collateral, warehousing and liquidity risk. The findings suggest that IoT can primarily improve traditional banks' information acquisition ability, and blockchain can facilitate credible information transformation, enabling banks to acquire knowledge from collaterals. Besides, the e-platform in the new architecture increases banks' involvement in the supply chain and builds a fair network to curtail warehousing risks. The employment of smart contracts and collaborative mechanism ensure process and outcome control in mitigating liquidity risks.

The research contributes to the literature by confirming the role of emerging technologies in reducing information asymmetry risks. Besides, the findings provide valuable insights for practitioners to promote effective practices and approaches in IPF.

The purpose of this paper is to explore the relationship between demographic diversity on boards and employer/employee relationship (EER) and to test the moderating effect of contextual factors such as a firm’s financial situation.

This paper analyzes data from over 1,000 publicly listed US firms and uses hierarchical regression.

Demographic diversity on boards of a given firm, such as ethnic diversity and gender diversity, should have positive effects on EER, which can be considered as an important dimension of overall human resource management performance in a given firm. Contextual factors such as a firm’s financial situation should moderate the relationship between demographic diversity on boards and the EER.

First, this research contributes to the current literature by showing that EER can be influenced by demographic diversity on boards, which further helps to highlight the beneficial effect of demographic diversity in top management team. Second, this study uncovers the moderating role of some contextual factors such as a firm’ financial situation. Third, this study also contributes to the corporate governance literature by studying the link between demographic diversity on boards and EER.

Users' knowledge sharing provides valuable resources for brand community participants and is, therefore, critical for the viability of virtual brand communities. Drawing from both self-determination theory (SDT) and psychological ownership theory, the paper aims to investigate the impact of fulfillment of three basic psychological needs on brand users' knowledge-sharing behavior and examines psychological ownership as a mediator.

Survey data consisting of 316 valid responses were collected from users of Huawei Pollen Club Community. Confirmatory factor analysis (CFA) confirmed the reliability and validity of measures, and hierarchical linear regression and bootstrapping were used to test all hypotheses.

Fulfillment of the need for autonomy, relatedness and competence in a virtual brand community boosts users' psychological ownership and has a positive influence on their knowledge-sharing behavior. Furthermore, psychological ownership partially mediates the relationships between the fulfillment of psychological needs and knowledge-sharing behavior. In addition, the authors found that when users participate in more offline brand activities, the positive impact of the fulfillment of the need for relatedness on psychological ownership is strengthened, while the positive impact of the fulfillment of the need for autonomy on psychological ownership is weakened.

The paper contributes to the existing literature by exploring the relationships between fulfilling users' three basic psychological needs and their knowledge-sharing behavior through the mediating role of psychological ownership. The authors also provide insight into how offline brand activities interact with the fulfillment of psychological needs in virtual brand communities.

Artificial intelligence (AI) has a large number of applications at the industry and user levels. However, AI's uniqueness neglect is becoming an obstacle in the further application of AI. Based on the theory of innovation resistance, this paper aims to explore the effect of AI's uniqueness neglect on consumer resistance to AI.

The authors tested four hypothesis across four studies by conducting lab experiments. Study 1 used a questionnaire to verify the hypothesis that AI's uniqueness neglect leads to consumer resistance to AI; Studies 2 focused on the role of human–AI interaction trust as an underlying driver of resistance to medical AI. Study 3–4 provided process evidence by way of a measured moderator, testing whether participants with a greater sense of non-verbal human–AI communication are more reluctant to have consumer resistance to AI.

The authors found that AI's uniqueness neglect increased users' resistance to AI. This occurs because the uniqueness neglect of AI hinders the formation of interaction trust between users and AI. The study also found that increasing the gaze behavior of AI and increasing the physical distance in the interaction can alleviate the effect of AI's uniqueness neglect on consumer resistance to AI.

This paper explored the effect of AI's uniqueness neglect on consumer resistance to AI and uncovered human–AI interaction trust as a mediator for this effect and gaze behavior and physical distance as moderators for this effect.

To understand the service performance of full ceramic ball bearings under extreme working conditions and improve their service life, dynamic characteristic tests of full ceramic ball bearings under ultra-low temperature conditions were carried out by a low-temperature bearing life testing machine, and temperature rise and friction were measured under extreme low-temperature environment.

The heat-flow coupling model of bearing was established by CFD software, and the test results were further analyzed.

The results show that the temperature rise of the bearing is not obvious in the liquid nitrogen environment. With the increase of the chamber temperature, the lubrication state of the bearing changes, resulting in the temperature rise of the outer ring of the bearing. As the temperature of the test chamber increases, the friction force on the bearing increases first and then decreases under the action of multifactor coupling.

The research results provide test data and theoretical basis for the application of all-ceramic ball bearings in aerospace and other fields and have important significance for improving the service life of high-end equipment under extreme working conditions.

The research results provide test data and theoretical basis for the application of full ceramic ball bearings in aerospace and other fields and have important significance for improving the service life of high-end equipment under extreme working conditions.

The research results provide test data and theoretical basis for the application of full ceramic ball bearings in aerospace and other fields and have important significance for improving the service life of high-end equipment under extreme working conditions.

The research results provide test data and theoretical basis for the application of full ceramic ball bearings in aerospace and other fields and have important significance for improving the service life of high-end equipment under extreme working conditions.