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The purpose of this paper is to propose a strategy for the final assembly of helicopter fuselage with weak rigidity parts and mismatched jointing butt ends.

The strategy is based on path planning methods. Compared with traditional path planning methods, the configuration-space and collision detection in the method are different. The obstacles in the configuration-space are weakly rigid and allow continuous contact with the robot. The collision detection is based on interference magnitudes, and the result is divided into no collision, weak collision and strong collision. Only strong collision is unacceptable. Then a compliant jointing path planning algorithm based on RRT is designed, combined with some improvements in search efficiency.

A series of planning results show that the efficiency of this method is higher than original RRT under the same conditions. The effectiveness of the method is verified by a series of simulations and experiments on two sets of systems.

There are few reports on the automation technology of helicopter fuselage assembly. This paper analyzes the problem and provides a solution from the perspective of path planning. This method contains a new configuration-space and collision detection method adapted to this problem and could be intuitive for the jointing of other weakly rigid parts.

While the rapid adoption of information communication technologies (ICT) in organizations has been linked with a higher risk of cyberbullying, research on the influence of cyberbullying on interpersonal behaviors in the workplace remains limited. By drawing on the ego-depletion theory and the leader-member exchange (LMX) theory, this research investigates how, why and when workplace cyberbullying may trigger interpersonal aggression through ICT.

The authors collected data from 259 employees and 62 supervisors working in large ICT organizations in China through a multi-wave survey. The authors performed multilevel analysis and used hierarchical linear modeling to test the proposed moderated mediation model.

The results revealed that workplace cyberbullying has a significant and positive influence on interpersonal aggression in the workplace via ego depletion. The authors found that differentiation in LMX processes at group level moderates the indirect relationship between workplace cyberbullying and interpersonal aggression (via ego depletion). Furthermore, the positive indirect effect of workplace cyberbullying was found to be stronger in the presence of a high LMX differentiation condition in comparison to a low LMX differentiation condition.

The data were collected from Chinese ICT organizations, which may limit the generalization of this study’s findings to other cultural and sectoral contexts.

This paper provides the first step in understanding how, why and when workplace cyberbullying triggers interpersonal aggression by investigating the role of ego depletion as a mediator and LMX differentiation as a boundary condition. This is the first study to empirically examine the relationships between workplace cyberbullying, ego depletion, LMX differentiation and interpersonal aggression in ICT organizations using multi-level modeling.

The implied assembly constraints of a computer-aided design (CAD) model (e.g. hierarchical constraints, geometric constraints and topological constraints) represent an important basis for product assembly sequence intelligent planning. Assembly prior knowledge contains factual assembly knowledge and experience assembly knowledge, which are important factors for assembly sequence intelligent planning. This paper aims to improve monotonous assembly sequence planning for a rigid product, intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge is proposed.

A spatio-temporal semantic assembly information model is established. The internal data of the CAD model are accessed to extract spatio-temporal semantic assembly information. The knowledge system for assembly sequence intelligent planning is built using an ontology model. The assembly sequence for the sub-assembly and assembly is generated via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge. The optimal assembly sequence is achieved via a fuzzy comprehensive evaluation.

The proposed spatio-temporal semantic information model and knowledge system can simultaneously express CAD model knowledge and prior knowledge for intelligent planning of product assembly sequences. Attribute retrieval and rule reasoning of spatio-temporal semantic knowledge can be used to generate product assembly sequences.

The assembly sequence intelligent planning example of linear motor highlights the validity of intelligent planning of product assembly sequences based on spatio-temporal semantic knowledge.

The spatio-temporal semantic information model and knowledge system are built to simultaneously express CAD model knowledge and assembly prior knowledge. The generation algorithm via attribute retrieval and rule reasoning of spatio-temporal semantic knowledge is given for intelligent planning of product assembly sequences in this paper. The proposed method is efficient because of the small search space.

The purpose of this study is to test the mechanism of visionary leadership on subordinates' work withdrawal behavior through cognitive strain and psychological contract violation, and also to reveal the possible dark side of visionary leadership. The moderation effects of subordinates' facades of conformity and leader behavioral integrity in the cognition–affect dual-path process are also discussed.

This study conducted a three-wave longitudinal survey. The data were collected from 574 employees and their superiors in several Chinese enterprises. The authors used Mplus 7.4 and adopted a bootstrapping technique in the data analysis.

Visionary leadership has positive effects on cognitive strain and psychological contract violation; cognitive strain and psychological contract violation mediate the relationship between visionary leadership and work withdrawal behavior, respectively. Subordinates' facades of conformity and leader behavioral integrity moderate the positive effects of visionary leadership on cognitive strain and psychological contract violation, as well as the indirect effect of visionary leadership on subordinates' work withdrawal behavior through cognitive strain and psychological contract violation.

This study reveals the underlying mechanism of visionary leadership's negative impact on job outcome through the cognition and affective reaction of subordinates to visionary leadership, and broadens the scope of visionary leadership research. It also provides some practical suggestions on how to transmit the organizational vision effectively and reduce subordinates' work withdrawal behavior.

The disability datasets are the datasets that contain the information of disabled populations. By analyzing these datasets, professionals who work with disabled populations can have a better understanding of the inherent characteristics of the disabled populations, so that working plans and policies, which can effectively help the disabled populations, can be made accordingly.

In this paper, the authors proposed a big data management and analytic approach for disability datasets.

By using a set of data mining algorithms, the proposed approach can provide the following services. The data management scheme in the approach can improve the quality of disability data by estimating miss attribute values and detecting anomaly and low-quality data instances. The data mining scheme in the approach can explore useful patterns which reflect the correlation, association and interactional between the disability data attributes. Experiments based on real-world dataset are conducted at the end to prove the effectiveness of the approach.

The proposed approach can enable data-driven decision-making for professionals who work with disabled populations.

This study aims to explore how intersecting identities shape experiences of workplace discrimination faced by Muslim employees in Catalonia, Spain. We seek to understand the interplay of religion, ethnicity, gender and age in their employment experiences in order to improve managerial practices.

The research employs a qualitative approach, conducting in-depth interviews with 39 diverse Muslim employees in Catalonia through convenience and snowball sampling to support an intersectional analysis.

Findings reveal that Muslim employees navigate a workplace environment where their experiences of discrimination are shaped by intersecting identities including religion, age, gender and ethnicity which become salient at various stages of their careers, prompted by HRM practices such as recruitment, selection and promotion. Their experiences as recipients of these practices illuminate the complex ways in which intersecting identities shape the experiences of discrimination. The study reveals the hiding of their religious identity, giving up on traditional career paths, seeking social support from other Muslims and emphasizing privileged identities, to deal with discrimination.

This study deepens understanding of the complexity of religious identity in minorities and explores its role in workplace discrimination. In particular, the research sheds light on the psychological impact in the form of feelings of guilt and shame which arise from coping strategies such as concealing religious markers which are adopted by these employees in response to organizational and managerial practices. Lastly, the paper stresses the need for intersectional approaches in order to improve effectiveness of HR policies and managerial practices.

The purpose of this paper is to explore the structure of leader communication style in the context of organizational change. In doing so, the authors intend to shed more light on how leaders can effectively communicate change projects to their subordinates, which is viewed as the key to implementing change initiatives.

This paper builds an integrated conceptual model for understanding leader’s communication style and subordinates’ commitment to change. By analyzing subordinates’ different fears of change, the paper further proposes a multidimensional structure of leader communication style in the context of change. The authors then develop a scale to measure these different dimensions and test the relationship between the proposed communication style and subordinates’ affective commitment to change.

Leader communication style in the context of change is found to be composed of five dimensions: hope orientation, reality orientation, subordinate orientation, support orientation, and enforcement orientation. A cross-level field study of 31 teams and 194 members shows that hope orientation, subordinate orientation, and support orientation are positively associated with subordinates’ affective commitment to change.

This paper identifies a new structure of leader communication style that will lead to a richer understanding of how leaders communicate to their subordinates in the context of change. It also contributes to the leadership literature by implying effective ways of communicating change projects.

In recent years, with the increase in computing power, artificial intelligence can gradually be regarded as intelligent agents and interact with humans, this interactive network has become increasingly complex. Therefore, it is necessary to model and analyze this complex interactive network. This paper aims to model and demonstrate the evolution of crowd intelligence using visual complex networks.

This paper uses the complex network to model and observe the collaborative evolution behavior and self-organizing system of crowd intelligence.

The authors use the complex network to construct the cooperative behavior and self-organizing system in crowd intelligence. Determine the evolution mode of the node by constructing the interactive relationship between nodes and observe the global evolution state through the force layout.

The simulation results show that the state evolution map can effectively simulate the distribution, interaction and evolution of crowd intelligence through force layout and the intelligent agents’ link mode the authors proposed.

Based on the complex network, this paper constructs the interactive behavior and organization system in crowd intelligence and visualizes the evolution process.

Drawing on climate theory and social exchange theory, the purpose of this paper is to examine whether and how the strength of the expectation climate, defined as the degree of agreement among job incumbents on what is expected from them, affects their job performance. To explain this relationship, the authors utilize mediating trust-in-the organization effects as an explanatory avenue.

In a time-lagged data sample of 568 public service employees, whose job performance is rated by their 242 line managers, the authors apply multilevel modeling. The authors employed stratified random sampling techniques across 75 job categories in a large, public sector organization in Belgium.

The analysis provides support for the argument that expectation climate strength via mediating trust-in-the organization effects impacts positively on the relationship between employee expectations and performance. Specifically, the significant association of the expectation climate strength with trust suggests that the perceived consensus about the expectations among different job incumbents demonstrates an organization’s trustworthiness and reliability to pursue intentions that are deemed favorable for employees. The authors conjecture that expectation climate strength breeds trust which strengthens employees’ job performance.

HRM professionals in general, and line managers in particular, should heed the advice and carefully manage their tools and practices in an effort to signal compatible expectancies to different job incumbents in the same or similar roles.

The results shed new light on the mechanisms through which the strength of collective expectations impacts employee outcomes.

In Beijing, urban agriculture (UA) experienced a corkscrew development with its role changing in decades: It has evolved from the purely production mode to multi-functional urban agriculture, fulfilling both social and ecological demands. At present, the practice of UA as well as the number of rural to urban migrants is growing rapidly in peri-urban Beijing. Through Multi-stakeholder Process for Action planning and Policy Design (MPAP) methodology and four in-depth case studies, we can see that UA activities are playing very important roles in reshaping peri-urban Beijing. Socially, UA induces the emergence of new migrant communities. While migrants rebuild their social network, they are changed by the city as well, which has also changed the local community. The new comers are on their way to creating a new balance. Physically, urban and peri-urban farmland limits urban sprawl, supplies agricultural products for everyday life, and reserves urban green spaces for recreation and leisure for citizens in Beijing, which has changed the landscape and land use and land cover (LUCC) pattern greatly. Under Beijing's land policy, the concentric configuration spatial allocation through multi-functional UA is formed, which at the same time due to migrants' UA activities are creating harmful and low efficient land use pattern which should be of concern.