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The purpose of this study is to explore a signal processing method to improve the angular rate accuracy of micro-electro-mechanical system (MEMS) gyroscope by combining numerous gyroscopes.

To improve the dynamic performance of the signal processing method, the interacting multiple model (IMM) can be applied to the fusion of gyroscope array. However, the standard IMM has constant Markov parameter, which may reduce the model switching speed. To overcome this problem, an adaptive IMM filter is developed based on the kurtosis of the gyroscope output, in which the transition probabilities are adjusted online by utilizing the dynamic information of the rate signal.

The experimental results indicate that the precision of the gyroscope array composed of six gyroscopes increases significantly and the kurtosis-based adaptive Markov parameter IMM filter (K-IMM) performs better than the baseline methods, especially under dynamic conditions. These experiments prove the validity of the proposed fusion method.

The proposed method can improve the accuracy of MEMS gyroscopes without breakthrough on hardware, which is necessary to extend their utility while not restricting the overwhelming advantages.

A K-IMM algorithm is proposed in this paper, which is used to improve the angular rate accuracy of MEMS gyroscope by combining numerous gyroscopes.

In the era of the digital economy, higher demands are placed on versatile talents, and the cultivation of students with innovative and entrepreneurial abilities has become an important issue for the further development of higher education, thus leading to extensive and in-depth research by many scholars. The study summarizes the characteristics and patterns of dual-innovation education at different stages of development, hoping to provide a systematic model for the development of dual-innovation education in China and make up for the shortcomings.

This paper uses Citespace software to visualize and analyze the relevant literature in CNKI and Web of Science databases from a bibliometric perspective, focusing on quantitative analysis in terms of article trends, topic clustering, keyword co-linear networks and topic time evolution, etc., to summarize and sort out the development of innovation and entrepreneurship education research at home and abroad.

The study found that the external characteristics of the literature published in the field of bi-innovation education in China and abroad are slightly different, mainly in that foreign publishers are more closely connected and have formed a more stable ecosystem. In terms of research hotspots, China is still in a critical period of reforming its curriculum and teaching model, and research on the integration of specialization and creative education is in full swing, while foreign countries focus more on the cultivation of students' entrepreneurial awareness and the enhancement of individual effectiveness. In terms of cutting-edge analysis, the main research directions in China are “creative education”, “new engineering”, “integration of industry and education” and “rural revitalization”.

Innovation and entrepreneurship education in China is still in its infancy, and most of the studies lack an overall overview and comparison of foreign studies. Based on the econometric analysis of domestic and foreign literature, this paper proposes a path for domestic innovation and entrepreneurship education reform that can make China's future education reform more effective.

The purpose of this paper is to utilize a multi-method design for research on corruption in China. Corruption in any society is inimical to good governance. Singapore, despite her size, is argued to be a plausible model for China.

Taking a multi-method approach, the phenomena of corruption is investigated from: etymological analyses for corruption (European roots) and its Chinese equivalent, 贪污 (pinyin: tan wu) case studies taken from three periods: current, Qing Dynasty and to founding of China (zhong guo, Qin Dynasty) to ground our policy recommendation of China be modeling after Singapore on the basis of our analysis of statistical (2013 and longitudinal) data. In the process, the authors embark on inter-country comparisons (mainly Confucian China, Hong Kong, Taiwan, South Korea and Japan).

Here are the key insights: scholars are unaware the English word corruption is narrower in scope than the Chinese equivalent tan wu贪污. As far back as 3,000 years, the Chinese had attributed wu, 污 as filthy, polluting, dirty to psychological concept of greed tan, 贪. In English, corruption does not denote greed per se. Falsification of facts as a political ploy dates back to Qin dynasty. Destabilizing corrupt cases occurred in China today as in Qing Dynasty. Singapore rather Hong Kong is a better model for China in reforming society.

This paper illustrates a distinctively, in-depth approach to research on Chinese management. It shows why it is important to clarify key concepts: corruption in the West and tan wu贪污in the East. Historical cases are utilized to show the presence of a continuing Chinese mind set. The authors argued for China to embark on a city-by-city strategy (modeling after Singapore) toward becoming a corruption-free society. Now, as 3,000 years ago, the Chinese conceptualization of corruption embeds the psychology of greed.

China is at a crossroad of her economic development. There is a possible risk of China being destabilized through the corruption of the top rung of leadership. Chinese authorities must with urgency, rein in corruption. An approach is proposed in this paper.

In terms of style, approach and method of research, this paper is highly original. The integrative research here provides a rationale and basis for the Chinese leaders to implement a policy for a less corrupt society.

The purpose of this paper is to analyze the reasons that plagiarism in online literature is so hard to control in China, and it will conclude with a clear solution for the future.

This paper begins its research with the statistics and analysis of plagiarism data and a review of expert interviews regarding online literature publishing. All of these data materials were collected from anti-plagiarism platforms, online literature websites, news report websites and judiciary office websites.

The paper provides empirical insights into why the plagiarism is so rampant in the publishing of online literature in China. It suggests that the current task of controlling network literature plagiarism is arguably created by the literary production platform, which leads to the problem of the validity of the “self-monitoring model.” In fact, controlling plagiarism must be emphasized by means of external monitoring, because strict supervision and various external punitive measurements for committing plagiarism can force literature-generating platforms to strengthen their own internal monitoring.

Online plagiarism occurs almost constantly, but it rarely results in court cases over copyright because of the lack of a robust copyright ecology in China. This paper considers large amounts of data and cases from self-publishing media platforms.

The paper includes implications for the development of plagiarism management in online literature publishing from the publishing Association, media and government.

This paper suggests to online literature users that plagiarism will be controlled when certain active measures against it are taken. The authors hope that this view will promote the development of original online literature.

This paper points out that China must strengthen supervision that comes from outside the online literature generate platforms to control the current rampant plagiarism that occurs on these platforms.

This paper aims to propose a novel method to identify the parameters of robotic manipulators using the torque exerted by the robot joint motors (measured by current sensors).

Previous studies used additional sensors like force sensor and inertia measurement unit, or additional payload mounted on the end-effector to perform parameter identification. The settings of these previous works were complicated. They could only identify part of the parameters. This paper uses the torque exerted by each joint while performing Fourier periodic excited trajectories. It divides the parameters into a linear part and a non-linear part, and uses linear least square (LLS) parameter estimation and dual-swarm-based particle swarm optimization (DPso) to compute the linear and non-linear parts, respectively.

The settings are simpler and can identify the dynamic parameters, the viscous friction coefficients and the Coulomb friction coefficients of two joints at the same time. A SIASUN 7-Axis Flexible Robot is used to experimentally validate the proposal. Comparison between the predicted torque values and ground-truth values of the joints confirms the effectiveness of the method.

The proposed method identifies two joints at the same time with satisfying precision and high efficiency. The identification errors of joints do not accumulate.

This paper aims to study the impact of individual relationships on tacit knowledge sharing in the company setting of compulsory bond, expressive bond, instrumental bond and self-monitoring by empirical explorations.

The paper raises seven hypotheses that focus on the impact of employees’ relationship with tacit knowledge sharing in knowledge-intensive industries and positions based on relationship theory. Before distributing the formal questionnaires, a pre-research was done in a college by collecting comments and suggestions so as to correct and modify the questionnaires. A four-page questionnaire based on the Likert scale with 45 questions was used for data collection, and 210 valid questionnaires were collected from a research institute, a software company and an educational institute. Finally, SPSS17.0 was used to analyze these data, including reliability analysis, validity analysis, correlation analysis and regression analysis, etc.

The findings include: there is a positive correlation between employees’ compulsory bond and the efficiency of tacit knowledge sharing; there is a positive correlation between employees’ expressive bond and the efficiency of tacit knowledge sharing; there is a negative correlation between employees’ instrumental bond and the efficiency of tacit knowledge sharing; the more apt employees are at self-monitoring, the more effectively they will share tacit knowledge; the interaction between compulsory bonds and self-monitoring has a positive and stimulating impact on tacit knowledge sharing; the interaction between expressive bonds and self-monitoring has a positive and stimulating impact on tacit knowledge sharing; and the interaction between instrumental bonds and self-monitoring has a certain impact on tacit knowledge sharing.

However, the efficiency of tacit knowledge sharing cannot be measured easily and how to share the tacit knowledge based on employees’ relationships should be further concerned by knowledge industries.

This paper illustrates multiple, in-depth approaches to research on knowledge sharing. It shows why it is important to pay attention to employees’ relationships during the process of tacit knowledge sharing. The author argued some key factors such as compulsory bond, emotional bond and self-monitoring that may have a certain impact on the tacit knowledge sharing. The paper also further discussed the influence on the sharing of tacit knowledge as for the interaction between different relationship types and self-monitoring.

The knowledge is critical to enhance enterprises’ performance, and it will become more useful when the new knowledge is shared with others. However, tacit knowledge cannot be measured easily, and how to share the tacit knowledge based on employees’ relationships should be further concerned by knowledge industries. A series of findings are proposed in this paper.

Integrating the knowledge of different individuals, of which 90 per cent is tacit knowledge, in an organization that engages in producing products and providing service is instrumental to the sustainability and productivity of that organization. This study addressed the factors and dynamics of tacit knowledge sharing that can be used in knowledge management to effectively capture, store and disseminate tacit knowledge across an organization.

The purpose of this paper is to study the operational efficiency of aerospace industry in China and compare the difference in efficiency between the private aerospace enterprises and the state-owned aerospace enterprises. This paper enriches the study on evaluating the operational efficiency of aerospace industry and develops the theory on aerospace industry management.

The sample comprises all the aerospace enterprises listed in the A share market for which financial data are collected from the RESSET for subsequent analysis. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) are used to derive findings.

The paper finds both the scale and the technical level of the industry increased during the period, and this was mainly due to the growth of the state-owned enterprises. However, with the increase of scale, the total factor productivity of the sample decreased. This was mainly because the performance of the leading enterprises regressed. Overall, the operational efficiency of the industry was still relatively low. By comparing the private enterprises and the state-owned enterprises, this paper finds, in terms of scale, the private enterprises were far lower than the state-owned enterprises. However, as for operational efficiency, the private was more efficient, which indicates an imbalance in the development of the industry.

This paper explores the operational efficiency across the Chinese aerospace industry, a focus currently lacking in research, presenting an overview of the industry and examining the difference in efficiency between the private aerospace enterprises and the state-owned aerospace enterprises to provide policymakers and managers with some practical suggestions to promote the development of the industry.

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.

The purpose of this paper is to prepare Ti(C,N) coatings on TA15 treated and not treated by shot peening using double glow plasma alloying technique. The effect of shot peening on the wear behavior of Ti(C,N) coatings is discussed.

The Ti(C,N) coatings were prepared by double glow plasma alloying technique on two different TA15 substrate; one is shot peened and the other is not.

Ti(C,N) coating on SP-treated TA15 was thicker and denser, and the grain size was smaller compared with that on original TA15. Compared with the Ti(C,N) coating on original TA15, the wear resistance of that on SP-treated TA15 is improved. Ti(C,N) coating on SP-treated TA15 showed higher nanohardness and bearing capacity than that on original TA15.

For double glow plasma alloying technique, surface quality, surface activity and other factors will have influence on the thickness and density of the coating. The wear mechanisms of Ti(C,N) coating on original TA15 are serious abrasive wear and oxidation wear. However, the wear mechanism of Ti(C,N) coating on SP-treated TA15 is slightly oxidation wear.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0283/

The purpose of this paper is to examine why employees hide knowledge and how organizations intervene and influence the negative effects of knowledge hiding. This study builds and tests a theoretical model at both individual and team level.

Data were collected from universities, research institutes and enterprises’ research and development (R&D) teams in China via a two-wave survey. The final sample contained 417 cases. Hierarchical linear modeling was used to test hypotheses.

The results show that territoriality plays a mediating role between psychological ownership and knowledge hiding, and that organizational result justice negatively moderated the relationship between territoriality and knowledge hiding. Procedure justice negatively moderated the relationship between territoriality and rationalized hiding, and that between territoriality and evasive hiding. Interactive justice negatively moderated the relationship between territoriality and rationalized hiding, and that between territoriality and evasive hiding. There were thus interactive effects among territoriality, perceived knowledge value and psychological ownership; the relationship between individual psychological ownership and territoriality was weaker when perceived knowledge value was lower and task interdependence was higher, and stronger with higher perceived knowledge value and lower task interdependence.

Territorial behaviors, such as knowledge hoarding and misleading within R&D teams, are the primary challenges for organizations’ positive activities, including internal sharing, teamwork and organizational goal accomplishment. Researching knowledge territoriality in the Chinese cultural context will help to distinguish territorial behaviors and to take preventive measures. In addition, this study not only enables managers to understand clearly the precipitating factors of knowledge territoriality and the relationships among them but also provides constructive strategies for reducing the negative effect of organizational intervention in knowledge territoriality.

This study adopts a multilevel modeling method and not only reveals the “black box” of interaction among psychological ownership, territoriality and knowledge hiding at the individual level but also probes the three-way interaction of perceived knowledge value, team task dependency and psychological ownership with territoriality at both individual and team levels, and then discusses the mediation effect of organizational justice on the relationship between territoriality and knowledge hiding. The conclusion of this study not only enriches the literature on knowledge hiding in the field of knowledge management but also helps to elucidate the function and intervention mechanism of knowledge hiding.