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The study examines how human resource management practices (HRMPs) – including ability practice, motivation practice and opportunity practice – affect employee well-being (EWB) – including life well-being, job well-being and psychological well-being – in the Chinese cultural context.

A sample of 529 employees from various industries in China participated in the survey for this study. Data were analyzed using structural equation modeling.

The findings indicate that HRMPs have a significant positive effect on EWB. Specifically, practices based on ability, motivation and opportunity have a significant positive effect on job well-being, life well-being and psychological well-being, respectively. Integrity leadership moderates the impact of HRMPs on EWB. Organizational justice has a partial mediating effect on the relationship between HRMPs and EWB. Integrity leadership moderates the mediation effect of organizational justice in the relationship between HRMPs and EWB.

Human resource policies and practices need to create a fair organizational atmosphere, and managers implementing them must have integrity leadership. When selecting and promoting managers, organizations should pay attention to not only a candidate's ability but also his or her integrity.

This study uncovers how the important roles of organizational justice and integrity leadership act on the relationship between HRMPs and EWB, thus advancing our understanding of how HRMPs can effectively increase EWB.

Environmental sustainability is one of the most pressing issues faced by the electric and electronics industry today. Industries are being challenged to incorporate environmental initiatives in their corporate strategies. Thus, this study aims to investigate the impact of stakeholder pressures (regulatory, internal and market) on green supply chain management and green corporate resources as well as their effects on the economic and environmental performance of Taiwan's electric and electronic industry.

A total of 194 valid questionnaires were collected out of the 1,000 questionnaires distributed to Taiwan's electric and electronic product manufacturers. A structural equation modeling, using Amos 22.0, was used to test the hypotheses.

The results of the analyses show that stakeholder pressure has a significant positive impact on corporate green resources and green supply chain management practices while green supply chain management practices have a significant and positive impact on organizational performance. Moreover, corporate green resources provide a mediation between organizational stakeholder pressure and green supply chain management.

The results may be of value and interest to supply chain managers and policymakers on the push factors for implementing green supply chain management practices and their consequences.

This paper shows the complementarity of stakeholder and resource-based theories in influencing organizational performance in the electric and electronic industry in the context of sustainable development. This also enhances the understanding of the antecedents and consequences of green supply chain management and provides robust findings on the relationship between environmental and economic performance.

The purpose of this paper is to discuss a data interpolation method of curved surfaces from the point of dimension reduction and manifold learning.

Instead of transmitting data of curved surfaces in 3D space directly, the method transmits data by unfolding 3D curved surfaces into 2D planes by manifold learning algorithms. The similarity between surface unfolding and manifold learning is discussed. Projection ability of several manifold learning algorithms is investigated to unfold curved surface. The algorithms’ efficiency and their influences on the accuracy of data transmission are investigated by three examples.

It is found that the data interpolations using manifold learning algorithms LLE, HLLE and LTSA are efficient and accurate.

The method can improve the accuracies of coupling data interpolation and fluid-structure interaction simulation involving curved surfaces.

The modeling of interphase forces plays a significant role in the numerical simulation of gas–liquid flow in a rotodynamic multiphase pump, which deserves detailed study.

Numerical analysis is conducted to estimate the influence of interphase forces, including drag force, lift force, virtual mass force, wall lubrication force and turbulent dispersion force.

The results show that the magnitude of the interphase forces can be sorted by: drag force > virtual mass force > lift force > turbulent dispersion force > wall lubrication force. The relations between interphase forces and velocity difference of gas–liquid flow and also the interphase forces and gas volume fraction are revealed. The distribution characteristics of interphase forces in the passages from impeller inlet to diffuser outlet are illustrated and analyzed. According to the results, apart from the drag force, the virtual mass force, lift force and turbulent dispersion force are required, whereas wall lubrication force can be neglected for numerical simulation of gas–liquid flow in a rotodynamic multiphase pump. Compared with the conventional numerical method which considers drag force only, the relative errors of predicted pressure rise and efficiency based on the proposed numerical method in account of four major forces can be reduced by 4.95 per cent and 3.00 per cent, respectively.

The numerical analysis reveals the magnitude and distribution of interphase forces inside multiphase pump, which is meaningful for the simulation and design of multiphase pump.

Nucleic acid testing is an effective method of accurate prevention and control and a key measure to block the spread of the epidemic. However, the fraud in nucleic acid testing occurred frequently during epidemics. This paper aims to provide a viable scheme for the government to strengthen the supervision of nucleic acid testing and to provide a new condition for the punishment for the negative act of the government and the upper limit of the reward for nucleic acid testing institution of no data fraud.

This paper formulates an evolutionary game model between the government and nucleic acid testing institution under four different mechanisms of reward and punishment to solve the issue of nucleic acid testing supervision. The authors discuss the stability of equilibrium points under the four distinct strategies and conduct simulation experiments.

The authors find that the strategy of dynamic reward and static penalty outperforms the strategies of static reward and static penalty, dynamic reward and static penalty, static reward and dynamic penalty, dynamic reward and dynamic penalty. The results reveal the appropriate punishment for the negative act of the government can enhance the positivity of the government's supervision in the strategy of dynamic reward and static penalty, while the upper limit of the reward for nucleic acid testing institution of no data fraud cannot be too high. Otherwise, it will backfire. Another interesting and counterintuitive result is that in the strategy of dynamic reward and dynamic penalty, the upper limit of the penalty for data fraud of nucleic acid testing institution cannot be augmented recklessly. Otherwise, it will diminish the government's positivity for supervision.

Most of the existing evolutionary game researches related to the reward and punishment mechanism and data fraud merely highlight that increasing the intensity of reward and punishment can help improve the government's supervision initiative and can minimize data fraud of nucleic acid institution, but they fall short of the boundary conditions for the punishment and reward mechanism. Previous literature only study the supervision of nucleic acid testing qualitatively and lacks quantitative research. Moreover, they do not depict the problem scenario of testing data fraud of nucleic acid institution regulated by the government via the evolutionary game model. Thus, this study effectively bridges these gaps. This research is universal and can be extended to other industries.

The authors examine the interest rate pass-through in Hong Kong (HK) and Macao both in the long term and short term.

The authors use time series methodology, i.e. unit root, cointegration and error correction models.

The results show that in the post-global financial crisis (GFC) period, both the long-run and short-run interest rate pass-through from policy rates to prime rates have disappeared in Macao and are weakened significantly in Hong Kong. The long-term relationship between deposit rates and policy rates no longer exists in either market while the short-term relationship has been reduced significantly.

The results indicate that the effectiveness of monetary policy in HK and Macao has been seriously undermined in the post-GFC period. New tools are needed in both regions.

Monetary policy transmission via bank interest rates in both HK and Macao are no longer effective after the outbreak of the GFC.

Effort to stimulate the economy and/or control inflation will be hampered.

To the best of the authors’ knowledge, this is the first study to examine the impact of the GFC on the effectiveness of monetary policy transmission in HK and Macao.

The purpose of this paper is to find the key innovative principles for evaluating the long-term care (LTC) cloud system by exploring contradictory and complex points in its development.

The theory of inventive problem solving (TRIZ) and the decision-making trial and evaluation laboratory (DEMATEL) approaches are integrated to resolve complex contradictions in the system. The heuristic reasoning of TRIZ is applied to obtain innovation principles for an LTC cloud mining system. However, the importance and feasibility of these innovative principles require further assessment. In this study, DEMATEL is employed to clarify the complex relationships among the principles and evaluate their key influences.

This paper identifies six primary contradictions and derives 25 innovative principles for the resolution of these conflicts. Further analysis confirms three key innovative principles. First, the government should consider the overall planning of the cloud system platform, followed by the participation of other medical and LTC institutions. Second, the information capability of LTC institutions should be unified by recording the pathology data of care recipients to create an information exchange system. Third, LTC institutions should act in cooperation with medical institutions to provide professional medical capabilities.

The contributions of this paper are two-fold. First, this study provides an integrated methodology integrating the TRIZ and DEMATEL approaches to resolve LTC problems. Second, this research identifies the key innovative principles for developing an LTC cloud system in Taiwan.

Green sustainability has become a critical challenge for businesses to execute green supply chain management (GSCM). Most of the literature on GSCM emphasizes regulations as drivers and few pieces of research are conducted from an internal organizational culture view. This study aims to use the cultural perspective of market orientation (MO) and draws on both the natural resource-based view (NRBV) and dynamic capability view (DCV) to explore the relationships among green market orientation (GMO), GSCM capability and organizational performance.

A total of 1,000 survey questionnaires were distributed to the Taiwanese electronics industry and 207 valid questionnaires were collected. Data was analyzed using structural equation modeling.

The results show that GMOs have a significant positive impact on GSCM capability, environmental performance and economic performance. Moreover, GSCM capability is positively related to environmental and economic performance. The results also show that GMOs have a significant indirect influence on environmental performance and economic performance through GSCM capability.

The findings of this study suggest how Taiwan’s electrical and electronic manufacturers, while faced with pressure from competitors, customers and regulations (i.e. waste electrical and electronic equipment directive, Restriction of Hazardous Substances Directive and energy-using products directives), should efficiently and effectively implement GMO and enhance GSCM capability to improve organizational performance.

This study fills up the gap between MO and performance indistinct relationships. It has also integrated two perspectives, namely, NRBV and DCV, to explain GSCM capability as a mediator between GMO and organizational performance relationship and to examine the relationships among GMO, GSCM capability and organizational performance.

The purpose of this study is to investigate whether corporate social responsibility (CSR) can lower tax risk. Previous studies have demonstrated a negative link between CSR and tax aggressiveness. Generally, corporations engaging in social irresponsibility tend to undertake aggressive tax planning; whereas socially responsible firms enjoy tax savings. Because several recent studies have suggested that lower tax payments do not necessarily create higher tax risk, an exploration of the relationship between CSR and tax risk was not only interesting but also important.

Using an ethical perspective of CSR, this paper argues that executives who are nourished by an ethical climate tend to make responsible and reliable operating decisions. Therefore, their corporations would have better control of tax administration, and the corresponding tax risk would be constrained. Such corporations would enjoy greater tax savings while keeping their tax risk at relatively low levels. However, this reasoning ignores the fact that limited economic resources would constrain a firm from practicing CSR in the form of donations. This situation would also influence its attitude toward tax strategies. Specifically, when a firm’s performance is unsatisfactory, the cultural effect of CSR may diminish or even disappear.

Firms donating additional resources to CSR activities can construct a more ethical work climate that encourages executives to control tax risk while lowering tax expenses. For firms with unsatisfactory performance, the ethical benefits of CSR could disappear, thus suggesting a relationship with firm performance. This finding contributes to the knowledge on the ethical implications of CSR and proposes that the culture argument is conditional on satisfactory firm performance.

This study explores the association between corporate culture (CSR) and tax risk. The empirical results help shareholders, analysts and other investors to make their business decision better because CSR or corporate culture is less likely to change suddenly or dramatically in an abbreviated time. The finding of this study shed light on the importance of corporate culture on making an investment evaluation or decision. In addition, this study extends the research on CSR by demonstrating that the effects of CSR are conditioned on firm performance. The beneficial effect of CSR on tax risk would disappear when firms have unfavorable financial performance.

Autonomous orbit determination using geomagnetic measurements is an important backup technique for safe spacecraft navigation with a mere magnetometer. The geomagnetic model is used for the state estimation of orbit elements, but this model is highly nonlinear. Therefore, many efforts have been paid to developing nonlinear filters based on extended Kalman filter (EKF) and unscented Kalman filter (UKF). This paper aims to analyze whether to use UKF or EKF in solving the geomagnetic orbit determination problem and try to give a general conclusion.

This paper revisits the problem and from both the theoretical and engineering results, the authors show that the EKF and UKF show identical estimation performances in the presence of nonlinearity in the geomagnetic model.

While EKF consumes less computational time, the UKF is computationally inefficient but owns better accuracy for most nonlinear models. It is also noted that some other navigation techniques are also very similar with the geomagnetic orbit determination.

The intrinsic reason of such equivalence is because of the orthogonality of the spherical harmonics which has not been discovered in previous studies. Thus, the applicability of the presented findings are not limited only to the major problem in this paper but can be extended to all those schemes with spherical harmonic models.

The results of this paper provide a fact that there is no need to choose UKF as a preferred candidate in orbit determination. As UKF achieves almost the same accuracy as that of EKF, its loss in computational efficiency will be a significant obstacle in real-time implementation.