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This paper aims to investigate the distributed formation control problem for a multi-quadrotor unmanned aerial vehicle system without linear velocity feedbacks.

A nonlinear controller is proposed based on the orthogonal group SE(3) to obviate singularities and ambiguities of the traditional parameterized attitude representations. A cascade structure is applied in the distributed controller design. The inner loop is responsible for attitude control, and the outer loop is responsible for translational dynamics. To ensure a linear-velocity-free characteristic, some auxiliary variables are introduced to construct virtual signals in distributed controller design. The stability analysis of the proposed distributed control method by the Lyapunov function is provided as well.

A group of four quadrotors with constant reference linear velocity and a group of six quadrotors with varying reference linear velocity are adopted to verify the effectiveness of the proposed strategy.

This is a new innovation for multi-robot formation control method to improve assembly automation.

The purpose of this paper is to consider the leader-following formation control problem for nonholonomic vehicles based on a novel biologically inspired neurodynamics approach.

The interactions among the networked multi-vehicle system is modeled by an undirected graph. First, a distributed estimation law is proposed for each follower vehicle to estimate the state including the position, orientation and linear velocity of the leader. Then, a distributed formation tracking control law is designed based on the estimated state of the leader, where a bio-inspired neural dynamic is introduced to solve the impractical velocity jumps problem. Explicit stability and convergence analyses are presented using Lyapunov tools.

The effectiveness and efficiency of the proposed control law are demonstrated by numerical simulations and physical vehicle experiments. Consequently, the proposed protocol can successfully achieve the desired formation under connected topologies while tracking the trajectory generated by the leader.

This paper proposes a neurodynamics-based leader–follower formation tracking algorithm for multiple nonholonomic vehicles.

Practical wisdom from Chinese classical traditions is still an enlightening resource for contemporary management. Based in traditional Chinese perspectives, this paper aims to explore the influence of ethical leadership and social capital on customer relationship.

The authors conduct a survey of senior executives in 215 Chinese companies. Structural model testing and hierarchical regressions are used to analyze the data.

The empirical analysis affirms the authors' hypotheses that both ethical leadership and social capital have significant influence on customer relationship.

The results imply that traditional Chinese perspectives on contemporary management research have a potentially important impact.

It may also be valuable for Chinese firms to incorporate classical traditions into their daily practice: to enhance ethical leadership and obtain more social capital.

This study is a modest step towards an integration of traditional perspectives into research on the role of ethical leadership, and social capital, in maintaining good customer relationship in China.

This paper aims to provide an overview of this special issue.

The guest editorial introduces the papers in this special issue, focusing on practical wisdom for management from the Chinese classical traditions.

Chinese culture increasingly will permeate international culture and move from peripheral to mainstream status. To ignore this in management education would be a grave oversight.

The issue offers insights into the value of practical wisdom from Confucianism, the origins of Chinese classical trditions and Daoism, and the various streams of thought within the classical Chinese traditions and their contemporary relevance.

This study aims to develop a green, economical and efficient ultrasonic-/microwave assisted extraction (UMAE) process for the extraction of anthocyanins.

After optimizing the extraction conditions by response surface methodology, three assays including DPPH, ABTS·+, FRAP were applied to analyze the antioxidant activity of the extracted anthocyanins. The stability under different temperatures, reductant concentrations and pHs was also discussed. The components of anthocyanins in blueberry were analyzed by HPLC-QTOF-MS2.

The optimal extraction parameters were ultrasonic power of 300 W, microwave power of 365.28 W and solid–liquid ratio of 30 (g/mL). The possible structures can be speculated as Delphinidin-3-O-galactoside, Delphinidin, Petunidin, Delphinidin-3-O-glucoside, Petunidin-3-O-glucoside, Cyanidin-3-O-glucoside. The results demonstrated that the UMAE can improve the yield of anthocyanins in shorter extraction time with higher activity.

The present study may provide a promising and feasible route for extracting anthocyanins from blueberries and studying their physicochemical properties, ultimately promoting the utilization of blueberry anthocyanins.

When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s health and driving safety. The use of numerous jet fans to diffuse the smoke causes excessive energy consumption, so it is of significant practical value to design suitable tunnel ventilation.

The study is based on the continuum hypothesis, incompressible hypothesis, steady flow hypothesis and similar hypothesis of gas in a long highway tunnel. These hypotheses calculate the gas emissions and wind demand in a long highway tunnel given the deployment of the jet fan program.

This program selects each of the two 1120-type jet machine group and sets up 13 groups; each group has an interval of 184.5 m in the end. The analysis of air test results when the tunnel is in operation shows that CO and smoke concentrations meet the design requirements, which can provide reference for a similar engineering design later.

At present, a highway tunnel is recognized at home and abroad by means of clearance of longitudinal ventilation, which is 2,000 m. In view of this, this paper is based on the theory of longitudinal jet ventilation of a highway tunnel, whose length is more than 2,000 m, to calculate the ventilation and apply it to a tunnel’s ventilation design.

The purpose of this paper was to examine the relationship between organizational tenure and employee innovative behavior and the influence of culture difference and status-related moderators (i.e. status hierarchy and status stability) on the linkage.

By using a meta-analysis method that included 76 empirical studies, this study examines the relationship of organizational tenure and innovative behavior. In this study, 79 samples (N = 21659) derived from 76 empirical studies that met the inclusion criteria in the meta-analysis.

The results show that organizational tenure has a weak positive effect on employee innovative behavior (r = 0.04), and status hierarchy, position tenure, culture difference and measurement ways influence the relationship between the two. In addition, a three-way interaction among status hierarchy, position tenure and organizational tenure is found to jointly affect innovative behavior; specifically, for those who are low in status hierarchy and short in position tenure, their organizational tenures are positively related to innovative behavior, but for those with a longer position tenure in organizations, their organizational tenure may relate to innovative behavior negatively, whatever their status hierarchies are (high or low). This study is helpful in providing theoretical foundation and practical skills to such issues regarding how to trigger innovative behavior efficiently at different career stages.

Limitations include tenure range of participants and no longitudinal samples in our studies. Future research should examine more contextual factors which influenced the relationship between organizational tenure and innovative behavior.

The results of this study show that long organizational tenure is not negatively related to innovative behaviors. For managers, do not ignore the contribution of long-tenured employees to innovation. Through promotion or job rotation to increase employees’ job satisfaction and innovative willing.

To authors’ knowledge, this is the first study to examine status attribute class variables in the relationship between organizational tenure on innovative behavior. The study is helpful in providing theoretical foundation and practical skills to such issues regarding how to trigger innovative behavior at different career stages correctly.

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

The purpose of this paper is to investigate the mediating roles of tacit and explicit knowledge sharing (KS) in linking the relationship between knowledge-based HRM practices and innovation competence of firms. This study also explores the potential moderating role of market turbulence in fostering the influence of KS behaviors on two forms of innovation competence namely radical innovation and incremental innovation.

The paper applied the quantitative approach and structural equation modeling to examine the correlation among the latent constructs based on the survey data collected from 293 participants in 115 firms.

The empirical findings of this study support the mediating role of KS behaviors in the relationship between knowledge-based HRM practices and aspects of innovation competence. It highlights the important role of market turbulence in stimulating the influence of KS behaviors on innovation capabilities.

Future research should investigate the impact of knowledge-based HRM practices on innovation capability via the mediating effects of knowledge management processes to bring better understanding of the importance of knowledge resources in organizations.

The paper significantly contributes to increasing knowledge and insights into the antecedent role of knowledge-based HRM practices, the mediating role of KS behaviors as well as the moderating role of market turbulence in fostering radical and incremental innovation, thereby advancing the body of comprehension of knowledge-based resources and innovation theory.