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The form error of shaft and hole parts is inevitable because of the machining error caused by rotation error of tool axis in machine tools where the elliptical form error is the most common in shaft and bearing bush. The purpose of this paper is to present the relationship between the elliptical form error and rotation accuracy for hydrostatic journal bearing in precision spindle and rotation table.

An error averaging effect model of hydrostatic journal bearing is established by using Reynolds equation, pressure boundary conditions, flux continuity equation of the land and kinetic equation of shaft in hydrostatic journal bearing. The effects of shaft and bearing bush on rotation accuracy were analyzed quantitatively.

The results reveal that the effect of shaft elliptical form error on rotation accuracy was six times larger than bearing bush. Therefore, to improve the rotation accuracy of hydrostatic journal bearing in spindle or rotation table, the machining error of shaft should be controlled carefully.

An error averaging model is proposed to evaluate the effect of an elliptical form error on rotation accuracy of hydrostatic journal bearings, which solves the Reynolds equation, the flux continuity equation and the kinetic equation. The determination of form error parameters of shaft and bearing bush can be yielded from finding results of this study for precision design of hydrostatic journal bearings.

The purpose of this paper is to consider the following problem: the authors consider a new constructed unit system to indicate the characteristics of the inputs and outputs of different decision-making units (DMUs) and propose several modified models to calculate their efficiencies based on overall value judgment and weight restriction in the production process.

This paper applies principal component analysis (PCA) to analyze the original value judgment information, and the key indices in the production process are extracted. The modified data envelopment analysis (DEA) models are proposed and DEA efficiencies and their projections are calculated.

By incorporate PCA and DEA, the authors propose new virtual DMUs composed of unique optimal multipliers of each DMU. Crucial indexes are extracted and the weights of inputs and output are ranked through using PCA by taking the preference and value judgments of all DMUs into consideration. Weight constraints from the ranking are utilized to improve the traditional CCR-DEA model. The empirical results validate the feasibility of the approach.

The method can be used in many organizations which have excessive amounts of inputs and outputs variables, such as banks, chain stores, car factory, etc.

This paper presents an integrated methodology of using PCA and DEA for considering the preferences of the inputs and outputs and value judgment of all DMUs and ranks the importance of the indicators from the overall perspectives.

To obtain optimal deliverables, more and more crowdsourcing platforms allow contest teams to submit tentative solutions and update scores/rankings on public leaderboards. Such feedback-seeking behavior for progress benchmarking pertains to the team representation activity of boundary spanning. The literature on virtual team performance primarily focuses on team characteristics, among which network closure is generally considered a positive factor. This study further examines how boundary spanning helps mitigate the negative impact of network closure.

This study collected data of 9,793 teams in 246 contests from Kaggle.com. Negative binomial regression modeling and linear regression modeling are employed to investigate the relationships among network closure, boundary spanning and team performance in crowdsourcing contests.

Whereas network closure turns out to be a negative asset for virtual teams to seek platform feedback, boundary spanning mitigates its impact on team performance. On top of such a partial mediation, boundary spanning experience and previous contest performance serve as potential moderators.

The findings offer helpful implications for researchers and practitioners on how to break network closure and encourage boundary spanning with the establishment of facilitating structures in crowdsourcing contests.

The study advances the understanding of theoretical relationships among network closure, boundary spanning and team performance in crowdsourcing contests.

The authors develop a framework to build an early warning mechanism in detecting financial deterioration of Chinese companies. Many studies in the financial distress and bankruptcy prediction literature rarely do they examine the impact of pre-processing financial indicators on the prediction performance. The purpose of this paper is to address this shortcoming.

The proposed framework is evaluated by using both original and discretized data, and a least absolute shrinkage and selection operator (LASSO) selection technique for choosing an appropriate subset of financial ratios for improved predictive performance. The financial ratios are then analyzed by five different data mining techniques. Managerial insights, using data from Chinese companies, are revealed by the methodology employed.

The prediction accuracy increases after we discretized the continuous variables of financial ratios. A better prediction performance can be achieved by including fewer, but relatively more significant variables. Random forest has the highest overall performance following closely by SVM and neural network.

The contribution of this study is fourfold. First, the authors add to the literature on defaults by showing variable discretization to be an essential pre-processing step to improve the prediction performance for classification problems. Second, the authors demonstrate that machine learning approaches can achieve better performance than traditional statistical methods in classification tasks. Third, the authors provide the evidence for the adoption of C5.0 over other methods because rules generated with C5.0 provide managerial insights for managers. Finally, the authors demonstrate the effectiveness of the LASSO technique for identifying the most important financial ratios from each category, enabling one to build better predictive models.

China's universities have decoupled academic staff rewards and returnee status (scholars with a higher degree or substantial work experience gained outside China). This development possibly poses a threat to returnees' psychological contract fulfilment (PCF), i.e. the extent to which employees perceive their employer has fulfilled their promises or obligations regarding the employment relationship. Drawing on the efficiency–flexibility balance theory, the authors predict Chinese universities would institutionalise human resource management (HRM) practices intended to countervail the decoupling's potentially negative influence. Furthermore, the positive effect of returnee status on PCF would subsequently manifest as higher job satisfaction and lower turnover intention.

Utilising a mixed-method approach, the authors first undertook a large-scale multi-time field survey of Chinese business school academics from a group of non-elite universities located in Southern China. The authors then conducted a series of in-depth interviews with a subsample of the surveyed cohort, which was then analysed using multivariate regression analyses and machine-aided qualitative content analysis (i.e. NVivo 10).

The authors find that, despite the decoupling of returnee status and faculty rewards, returnee status is positively associated with PCF. This positive association further manifests as an indirect effect on job satisfaction and a negative indirect effect on turnover intention. The authors also determine that returnees experience higher PCF because universities have revised HRM practices to reward evidenced job activities. Returnees can gain a competitive advantage by using their skills gained overseas.

This study makes four original contributions. First, the authors investigate a neglected yet essential issue, namely, how returnee status relates to PCF in China's universities. Second, the authors enrich the theoretical understanding by introducing the efficiency–flexibility balance theory into the employee PCF literature. Third, the authors provide new insights on how China's universities maximise the effectiveness of academic returnees' talents and skills. Finally, by focusing on non-elite universities, the authors provide insights relevant to a broader faculty population than is available in the existing literature.

The purpose of this paper is to explore the relevant sayings and stories of the ancient Chinese sages in relation to the style of Chinese human resource management (HRM).

Related texts generated from the quotations and stories from four Chinese sages, Guanzi, Hanfeizi, Xunzi and Yanzi, were translated and analyzed and their thinking regarding ruling the state and managing the people was discussed in line with the thoughts from the mainstream and modern Western management gurus such as Warren Bennis, Peter Drucker, Mary Parker Follett, Douglas McGregor, Rosabeth Moss Kanter, Elton Mayo and Jeffrey Pfeffer.

It was found that there were striking similarities in thoughts and call for actions to address key issues in HRM by both old and contemporary, east and west thinkers across 2,500 years. The main concerns are to select the right leaders and managers and recruit the right people; create attractive organisational culture and environments that promote a participative management approach to encourage, empower and engage employees to achieve desirable outcomes; uphold the people‐centred management principles; and focus on designing reward schemes that emphasise service and contribution instead of position and profits.

There is much to be learned from the past to address the present people management issues among modern organisations both inside China and perhaps from other parts of the world. It was as difficult to take seriously the principles‐based ruling and management approaches in ancient times as it is today. However, if these principles had been put into practice, the world would have had fewer of the corporate corruption scandals and less of the mischievous behaviour in the state that are manifested in today's society, but more productive population, effective organisations, ethical governments and harmonious environment; hence less global human suffering.

The purpose of the paper is twofold. First, it investigates antecedents of online purchasing behaviour, taking into account the relationships between the constructs of service quality, perceived value and loyalty. Second, the study analyses up to what point men’s and women’s behaviours are similar.

A survey was sent to the general public in Spain. Respondents were required to be consumers of online travel agencies. In total, 1,201 valid questionnaires were collected. No gender bias was detected in the sample. The data were analysed through Structural Equation Modelling to assess the proposed model. To determine non-invariant parameters across the two groups (men and women), a test for invariance was conducted.

Both functional quality and hedonic quality are shown as antecedents for perceived value, and, in turn, perceived value impacts loyalty. The impact of loyalty on purchasing behaviour is significant, though weak. Gender differences are also examined and all parameters of the model are found to operate equivalently among men and women, indicating that both groups perform similarly.

This paper highlights that the hedonic dimension of quality is important in adding value for customers. Accordingly, managers should reinforce this dimension and include it in their business strategy.

Although the link between perceived quality and value-loyalty is well-established, there are still few studies that expand this link upstream or downstream. This paper analyses the next link in this chain.

The banking industry plays a key role in China's financial industry. In the past decade, the speed of the development of China's commercial banks has gradually declined. Commercial banks with different ownership structures also have certain differences in terms of operating efficiency, and their monetary policies are often different. Therefore, the authors study the impact of ownership structure on the efficiency of commercial banks under different monetary policies. This study also provides relevant reference opinions with regard to the healthy, sustainable and stable development of China's banking industry.

This paper mainly uses the two-stage data envelope analysis (DEA) model under meta-frontier and group frontier to study the deposit and loan efficiency changes of 16 banks from 2007 to 2014 under ownership structure heterogeneity. Furthermore, the model introduces the balance parameters between deposits and loans, in order to realize the mathematical abstraction description of macro-monetary policy.

First, based on bank efficiency analysis, the paper finds that most banks' loan efficiency is higher than their deposits. Second, the paper concludes that different monetary policies have little effect on bank deposit and loan efficiency, while ownership heterogeneity has a significant impact on bank performance. Finally, through the decomposition of the sources of inefficiency in bank performance, this paper finds that management and technology are two factors that affect the inefficiency of banks.

The authors work contributes to the existing literature in the following ways: First, to the best of the authors’ knowledge, this is the first attempt to use the DEA model to study the relationship between monetary policies and bank supply chain efficiency. The results may provide additional managerial implications for the banking industry from the perspective of monetary policies. The result is helpful in terms of explaining how and why banks should strengthen risk management, as well as how to deal with non-performing loans in management terms and finally, why banks should make financial technology innovations in technology terms.

The purpose of this paper is to analyze the effects of private investor's fair preference on the governmental compensation mechanism based on the uncertainty of income for the public-private-partnership (PPP) project.

Based on the governmental dilemma for the compensation of PPP project, a generalized compensation contract is designed by the combination of compensation before the event and compensation after the event. Then the private investor's claimed concession profit is taken as its fair reference point according to the idea of the BO model, and its fair utility function is established by improving the FS model. Thus the master-slave counter measure game is applied to conduct the behavior modeling for the governmental compensation contract design.

By analyzing the model given in this paper, some conclusions are obtained. First, the governmental optimal compensation contract is fair incentive for the private investor. Second, the private fair preference is not intuitively positive or negative related to the social efficiency of compensation. Only under some given conditions, the correlation will show the consistent effect. Third, the private fair behavior’s impact on the efficiency of compensation will become lower and lower as the social cost of compensation reduces. Fourth, the governmental effective compensation scheme should be carried out based on the different comparison scene of the private claimed portfolio profit and the expected revenue for the project.

This study analyzes the effects of private investor's fair preference on the validity of governmental generalized compensation contract of the PPP project for the first time; and the governmental generalized compensation contract designed in this study is a pioneering and exploratory attempt.

Based on the theory of social identity mechanism, this study aimed to investigate the associations with millennial consumers' need for uniqueness (NFU), susceptibility to peer influence (SPI) and attitudes towards luxury brands (ALB) under the cross-cultural context. The mediating effect of fashion innovativeness (FI) and the moderating effect of culture were examined.

The data for this study were collected through a survey from 217 millennials in Shanghai and 268 millennials in Tokyo. Moderation analysis and mediation analysis using Hayes PROCESS macro were applied to test proposed hypotheses.

Results show that NFU and SPI have a significantly positive effect on millennials' ALB, and fashion innovativeness plays a mediating role in this process. Furthermore, the positive impact of NFU on millennials' ALB for relatively individualistic cities (Shanghai) is stronger than for relatively collectivist cities (Tokyo). The positive impact of susceptibility to informative influence (SII) on millennials' ALB for Tokyo is stronger than for Shanghai.

The research results suggest how different cultures can support marketers in effectively carrying out their business strategy.

Under the cross-cultural background, the social identity mechanism behind the attitudes of millennials towards luxury brands has been widely recognised. However, little is known about how culture could moderate the social identity mechanism behind millennials' ALB. By analysing these mechanisms, this study compares the cultures of Shanghai and Tokyo and expands the previous research achievements.