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The purpose of this study is to address the low localization accuracy and frequent tracking failures of traditional visual SLAM methods in low-light and weak-texture situations, and we propose a mobile robot visual-inertial localization method based on the improved point-line features VINS-mono algorithm.

First, the line feature information is introduced into VINS-mono. Subsequently, the EDlines line feature extraction algorithm is optimized with a short line merging strategy and a dynamic length suppression strategy to reduce redundant short lines and fragmented segments. In the back-end sliding window optimization, line feature reprojection errors are incorporated, and Huber kernel functions are added to the inertial measurement unit residuals, point-line feature residuals and loop closure constraints to reduce the impact of outliers on the optimization results.

Comparison and verification experiments are carried out on the EuRoC MAV Data set and real weakly textured environment. In the real low-light and weak-texture scenarios, the improved mobile robot localization system achieves over 40% higher accuracy compared to VINS-mono.

The main contribution of this study is to propose a new visual-inertial SLAM method combining point-line features, which can achieve good localization effect in low-light and weak-texture scenes, with higher accuracy and robustness.

This paper aims to investigate whether family CEOs benefit investment efficiency under uncertainty with Chinese family firms and to test the moderating effect of ownership structure, including family ownership, the separation of family control from family ownership and the multiple large shareholder structure.

Fixed-effects models are designed for a sample of 5,734 firm-year observations for Chinese family firms from 2009 to 2014.

The results show that investment efficiency is low under uncertainty, and having family CEOs can reduce this negative relationship. Further analysis reveals that for firms with family CEOs, the negative effect of uncertainty on investment efficiency is weaker when the family has higher ownership, when family control is less separated from family ownership, or when family firms have multiple large shareholder structures.

The authors do not distinguish founder-CEOs and descendant-CEOs. Most of Chinese family firms are still managed by founders, so the authors cannot explore the generation effect although different generations manage firms differently. Because family succession is becoming a more and more important problem in China, further research may be able to explore the generation effect.

This paper suggests that in emerging economies with weak investor protection, outside minority shareholders can avoid expropriation from family owners by investing in firms with large family ownership, little separation of family control from ownership or multiple large shareholder structure. In addition, policymakers can encourage institutional investors to participate in family business to improve corporate governance.

Drawing on both Type I and Type II agency theory perspectives, the authors argue that although family CEOs can generally benefit firms’ investment efficiency, the benefits vary with firms’ ownership structure. In other words, family CEOs are not absolute agents or stewards but some extent of combination of both.

This paper aims to purpose an improved sensorless position-based force controller in gravitational direction for applications including polishing, milling and deburring.

The first issue is the external force/torque estimation at end-effector. By using motor’s current information and Moore-Penrose generalized inverse matrix, it can be derived from the external torques of every joints for nonsingular cases. The second issue is the force control strategy which is based on position-based impedance control model. Two novel improvements were made to achieve a better performance. One is combination of impedance control and explicit force control. The other one is the real-time prediction of the surface’s shape allowing the controller adaptive to arbitrary surfaces.

The result of validation experiments indicates that the estimation of external force and prediction of surface’s shape are credible, and the position-based constant contact force controller in gravitational direction is functional. The accuracy of force tracking is adequate for targeted applications such as polishing, deburring and milling.

The value of this paper lies in three aspects which are sensorless external force estimation, the combination of impedance control and explicit force control and the independence of surface shape information achieved by real-time surface prediction.

Radical innovation involves significant technological advances that have a critical impact on both firm growth and society development. Therefore, there is a growing need to understand how to achieve radical innovation. While previous studies have examined the direct effect of digitization on firm innovation, there is still limited knowledge of how digitization affects radical innovation. This paper aims to contribute to further exploring the underlying mechanism of how digitization affects radical innovation by incorporating the serial mediation effect of absorptive capacity.

This paper collected data from Chinese-listed manufacturing firms from 2015 to 2021 and analyzed the data using bootstrap analysis.

The research results show that digitization has a positive impact on radical innovation. Furthermore, digitization can influence radical innovation through potential absorptive capacity and realized absorptive capacity, and the mediation effect of potential absorptive capacity and realized absorptive capacity can occur sequentially. These research results are validated by a range of robustness tests.

This paper contributes to the literature on digitization and radical innovation by validating a model that links digitization through absorptive capacity to radical innovation. This model helps to explain the relationship between digitization and radical innovation, which has previously been a topic of debate. This paper also contributes to the absorptive capacity literature by unpacking the asymmetric roles of the potential absorptive capacity and the realized absorptive capacity. This paper also provides valuable implications for practices.

This study aims to show the importance of natural convection of supercritical fluid in an inclined cavity. The heat transfer performance of natural convection can be improved.

A model of an inclined cavity was set up to simulate the natural convection of supercritical fluid. The influence of inclined angles (30 to approximately 90°) and pressures (8 to approximately 12 MPa) are analyzed. To ascertain flow and heat transfer of supercritical fluid natural convection, this paper conducts a numerical investigation using the lattice Boltzmann method (LBM), which is proven to be precise and convenient.

The results show that the higher heat transfer performance can be obtained with an inclined angle of 30°. It is also presented that the heat transfer performance under pressure of 10 MPa is the best. In addition, common criterion number correlations of average Nusselt number are also fitted.

These study results can provide a theoretical reference for the study of heat transfer of supercritical fluid natural convection in engineering.

This study examines the mediating roles of the three dimensions of business intelligence (sensing capability, transforming capability and driving capability) in the relationship between the three dimensions of big data analytics capability (big data analytics management, technology and talent capabilities), and radical innovation among Chinese manufacturing enterprises.

A theoretical framework was developed using the resource-based view. The hypothesis was tested using empirical survey data from 326 Chinese manufacturing enterprises.

Empirical results show that, in the Chinese manufacturing context, business intelligence sensing capability, business intelligence transforming capability and business intelligence driving capability positively mediate the impact of big data analytics capability on radical innovation.

The results offer managerial guidance for leaders to properly use big data analytics capability, business intelligence and radical innovation as well as offering theoretical insight for future research in the manufacturing industry’s radical innovation.

This is among the first studies to examine three dimensions of big data analytics capability on the manufacturing industry’s radical innovation by considering the mediating role of three dimensions of business intelligence.

This study aims to offer insights regarding the impact of emotional conflict on innovation behavior. This study also explores the boundary conditions by examining the moderating effects of leader-member exchange (LMX) and team-member exchange (TMX) on the relationship between emotional conflict and innovation behavior.

This study used a questionnaire survey to collect data in China. Hypotheses were tested using hierarchical regression analysis. To test for inverted U-shaped relationship between emotional conflict and innovation behavior, the authors computed the squared term for emotional conflict. To investigate moderating roles of LMX and TMX, the authors carried out an interaction term between the main effect variables (emotional conflict and emotional conflict²) and the moderating variables (LMX and TMX).

The empirical findings indicated that emotional conflict had an inverted U-shaped relationship with innovation behavior. Furthermore, LMX and TMX moderated the inverted U-shaped relationship between the emotional conflict and innovation behavior in such a way that the inverted U-shaped relationship was flatter in high-quality LMX and TMX than in low-quality LMX and TMX. That is to say, LMX and TMX may dampen the positive effects of lower levels of emotional conflict on innovation behavior; yet, it may also weaken the negative effects of higher levels of emotional conflict on innovation behavior.

This research can be extended in several ways. First, future research can investigate the impact mechanism of emotional conflict on innovation behavior. Second, future research can analyze other types of moderators at different levels. The last but not the least, future research can test the results using heterogeneous samples. Despite these potential limitations, this study provides an elaborate understanding of the conflict–creativity relationship by outlining the inverted U-shaped relationship between emotional conflict and innovation behavior under the LMX and TMX contexts, which can make important contributions to the conflict management literature.

The findings of this study offer some guidance on how to stimulate innovation behavior through emotional conflict. It suggests that managers should maintain the emotional conflict at the moderate level. Furthermore, managers can strengthen the LMX and TMX to avoid the negative effects of high levels of emotional conflict, and several practices are provided as well.

This study develops an exhaustive understanding of the conflict–creativity relationship by figuring the curvilinear relationship between emotional conflict and innovation behavior, which is the response to the call of Posthuma to focus on the outcomes of conflict management. The findings further provide an empirical evidence of the conceptual argument that the consequences of conflict depend on the situational context by pointing out the important contingency factors of LMX and TMX.

The purpose of this study is to establish a novel airfoil icing prediction model using deep learning with geometrical constraints, called geometrical constraints enhancement neural networks, to improve the prediction accuracy compared to the non-geometrical constraints model.

The model is developed with flight velocity, ambient temperature, liquid water content, median volumetric diameter and icing time taken as inputs and icing thickness given as outputs. To enhance the icing prediction accuracy, the model involves geometrical constraints into the loss function. Then the model is trained according to icing samples of 2D NACA0012 airfoil acquired by numerical simulation.

The results show that the involvement of geometrical constraints effectively enhances the prediction accuracy of ice shape, by weakening the appearance of fluctuation features. After training, the airfoil icing prediction model can be used for quickly predicting airfoil icing.

This work involves geometrical constraints in airfoil icing prediction model. The proposed model has reasonable capability in the fast assessment of aircraft icing.

This paper aims to introduce and explore the creation, transfer, diffusion and application of knowledge in the Chinese context and the Chinese aerospace management modes, methodologies and mechanism, etc., based on the successful managerial experience of China’s aerospace. The paper then illustrates the current research domains and the future research opportunities in knowledge and aerospace management in China.

Review and reflection.

The Chinese knowledge management theory has achieved great development, the focus of which covers the whole chain from knowledge creation, knowledge transfer, knowledge sharing to knowledge application. However, Chinese aerospace management studies seem not so systematic, although some successful managerial practices and theories are being introduced. There is an opportunity to construct the Chinese aerospace management theory due to its features with general implications to high technology industries in China. Especially, integrating knowledge and aerospace, or studying aerospace from the perspective of knowledge, is a promising way of formulating a logic for deciphering China’s aerospace. It is also anticipated that qualitative methodology and Chinese traditional philosophy will be more popular in Chinese management studies.

This paper, by introducing some new research in knowledge management and aerospace management in China, outlines the current situations of Chinese knowledge and aerospace management research and sheds lights on the future research in aspects of research topics, research methodologies and Chinese traditional philosophy. For the first time, this paper provides the basic logic of Chinese knowledge management research and integrates Chinese aerospace management studies to reveal to the world the uniqueness and facts of China’s aerospace industry.

The paper aims to explore the factors that influence the risk perception. The moderating roles of purchase experience and purchase involvement are also investigated.

The conceptual model is framed into the SOR (stimulus-organism-response) model, which was tested using data collected from the users of a leading group buying platform in China, with the help of LISREL.

The result indicates that both vendor- and intermediary-related factors exert negative yet significant influences on perceived risk. The relationships between vendor-related attributes and perceived risk are contingent on purchase involvement. The relationships between intermediary-related attributes and perceived risk are subject to purchase experience.

This study explores the moderating effects of purchase experience and purchase involvement based on the characteristics of group buying, demonstrating the differences from traditional online shopping.