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Microribbon with meander type based on giant magnetoimpedance (GMI) effect has become a research hot spot due to their higher sensitivity and spatial resolution. The purpose of this paper is to further optimize the line spacing to improve the performance of meanders for sensor application.

The model of GMI effect of microribbon with meander type is established. The effect of line spacing (Ls) on GMI behavior in meanders is analyzed systematically.

Comparison of theory and experiment indicates that decreasing the line spacing increases the negative mutual inductance and a consequent increase in the GMI effect. The maximum value of the GMI ratio increases from 69% to 91.8% (simulation results) and 16.9% to 51.4% (experimental results) when the line spacing is reduced from 400 to 50 µm. The contribution of line spacing versus line width to the GMI ratio of microribbon with meander type was contrasted. This behavior of the GMI ratio is dominated by the overall negative contribution of the mutual inductance.

This paper explores the effect of line spacing on the GMI ratio of meander type by comparing the simulation results with the experimental results. The superior line spacing is found in the identical sensing area. The findings will contribute to the design of high-performance micropatterned ribbon with meander-type GMI sensors and the establishment of a ribbon-based magnetic-sensitive biosensing system.

The purpose of this paper is to study the electrochemical properties of electrode material on activated carbon double layer capacitors. It also tries to develop a prediction model to evaluate pore size value.

Back-propagation neural network (BPNN) prediction model is used to evaluate pore size value. Also, an improved heuristic approach genetic algorithm (HAGA) is used to search for the optimal relationship between process parameters and electrochemical properties.

A three-layer ANN is found to be optimum with the architecture of three and six neurons in the first and second hidden layer and one neuron in output layer. The simulation results show that the optimized design model based on HAGA can get the suitable process parameters.

HAGA BPNN is proved to be a practical and efficient way for acquiring information and providing optimal parameters about the activated carbon double layer capacitor electrode material.

The purpose of this paper is to explore the relationship between effective knowledge management and corporate performance, to explore the dynamic symbiosis phenomenon of effective knowledge management based on organizational ecology with multinational companies (MNCs) and non-multinational companies (non-MNCs) and to explore the symbiosis strategy of knowledge management between multinational and non-multinational companies (non-MNCs) in China.

To measure effective knowledge management, this paper first uses structural equation model to measure knowledge management, based on the evolution dynamics equation in organizational ecology to measure the effectiveness of knowledge management, and studies the symbiosis of effective knowledge management between MNCs and non-MNCs based on ecological perspective.

Effective knowledge management can promote the financial performance of enterprises, but different degrees of effectiveness have different effects. In addition, the coupling and collaboration between knowledge management and corporate performance can reflect the value of effective knowledge management. The results show that effective knowledge management plays a positive moderating effect between knowledge management and corporate performance. Finally, the effective knowledge management system of MNCs (non-MNCs) has negative effect on non-MNCs (MNCs), showing the exclusive relationship between MNCs and non-MNCs in China.

The effectiveness of knowledge management is only based on the measurement of financial performance coupling. For other types of performance, it needs to be tested. The samples may not cover symbiosis relationship of effective knowledge management in other countries.

This paper provides practical and theoretical reference for confirming the symbiotic interaction and identifying the opportunities and challenges of knowledge management among different types of corporation groups.

The paper is one of the pioneering studies to explore the pattern of symbiotic evolution of effective knowledge management between MNCs and non-MNCs. From completely new perspectives, this study advances the research of knowledge management to a new and promising area.

The purpose of this paper is to document the relationship between intra-group coopetition and subsidiaries' innovation performance and the moderating impact of the intensity of external competition.

Data were collected from 75 subsidiaries in China through a questionnaire survey of their R&D and general managers. The total number of individual respondents was 205. We tested our hypothesis by using ordinary least squares regression.

Intra-group cooperation was found to promote a subsidiary's performance in product and process innovation. Intra-group competition was found to have a U-shaped relationship with product and process innovation. Intra-group cooperation strengthens the U-shaped relationship between intra-group competition and process innovation.

This study involved firms from more than one industry. Studies of specific industries might reach more specific conclusions. And all of the data were self-reported by the managers of the firms concerned. Future studies would be well-advised to consider more objective data describing pairs of parent firms and subsidiaries.

Subsidiaries ought to build their internal networks to cooperate with each other. That can bring significant advantages in terms of information and synergy in innovation. Subsidiaries are also suggested to take full advantage of the opportunities that intra-group competition brings.

This study is the first one to explore coopetition phenomenon in the context of business group. By taking Chinese business group subsidiaries as the research samples, this research not only extends the coopetition research but also reveals that cooperation and competition are co-existed and exert influence in subsidiaries.

The submitted paper is mainly concerned with the cracking of blind and buried vias of printed circuit board (PCB) for smartphones which were encountered with abnormal display problems like scramble display or no display during service and had to be recalled.

To found out the root causes of this failure and dissolve this commercial dispute, comprehensive failure analysis was performed on the printed circuit board assemblies (PCBAs) and PCBs of the failed smartphone, such as macrograph and micrograph observation, chemical compositions analysis, thermal performance testing and blind via pull-off experiment, which finally helped to determine the causes. Besides that, the failure mechanisms were discussed in detail, and pertinent countermeasures were proposed point by point.

It was found that the PCB blind vias cracking was the main reason for the scramble display or no display of the smartphone, and the incomplete cleaning process before copper plating was the root cause of the blind vias cracking.

Achievement of this paper would not only help to provide the solid evidence for determining the responsibility of this commercial dispute but also lead to a better understanding of the failure mechanisms and prevention methods for similar failure cases of other advanced mobile phones.

Most failure analysis researches of PCBAs only focused on the unqualified products from manufacturing, while this paper addressed a failure analysis case of PCBAs products for smartphones from actual services, which was relatively rarely reported in the past.

Human capital is acquired not only through formal education (e.g. general skills) but also through training at the workplace. Prior studies have ignored the role of government subsidies explicitly for on-the-job training, which may influence firm training decisions and firm innovation performance. Hence, the authors establish a comprehensive theoretical framework to consider these issues and fill these gaps.

Considering the Chinese manufacturing firms listed in the Shanghai and Shenzhen Stock Exchange from 2010 to 2017, the authors investigate the influence of training investment on innovation performance by illustrating the role of human capital updating in enhancing firm innovation. The authors also explore serval mechanisms on how training investment influences innovation performance.

The authors propose that training investment promotes firm innovation performance, whereas government training subsidies negatively moderate this relationship. The authors also reveal how technicists' involvement and corporate culture mediate the relationship between training investment and innovation performance.

This study provides policy implications for stimulating firm innovation by improving learning and absorption ability, strengthening cultural identity and implementing system norms. Effective policies should be adopted to provide subsidies for on-the-job training of enterprises, particularly for firms with technical executives and firms in diversified life-cycle.

This work contributes to the literature on the role of on-the-job training in promoting firm innovation and reveals the crowding-out effect of subsidies. This study also shows the heterogeneous effects of training investment on firm innovation.

Economic policy uncertainty (EPU) has huge impact and harm on real economy, so the economic logic and other economic effects behind this must be further studied. By constructing the “China Economic Policy Uncertainty Index” to capture the degree of EPU faced by Chinese companies, the authors empirically test whether and how EPU affects the level of executives' perquisite consumption.

This study investigates the relationship between EPU and executive perquisite consumption based on a sample of 3,185 publicly listed firms in China. To examine the relationship between EPU and executives' perquisite consumption, a mixed least squares method was used for regression. To alleviate the problem of missing variables that do not change over time and control the influence of unobservable individual heterogeneity at the firm level, the firm fixed effects model is used for regression.

The study finds that EPU is positively associated with executive perquisite consumption. This positive association is stronger for firms with smaller size, lower management shareholding and higher levels of separation of ownership and control. Effective external governance (i.e., analyst coverage, media coverage, auditor and market competition) can mitigate the relationship between EPU and executive perquisite consumption. Further analysis reveals that EPU increases executive perquisite consumption by holding more cash and decreasing firm risk taking. EPU hurts market value of firms by boosting executive perquisite consumption and tunneling.

In an environment with high EPU, the board of directors should reduce managers' compensation performance sensitivity to ease the agency conflict caused by uncertainty. Firms should improve their governance mechanisms and standard and pay attention to their environmental changes. Policymakers should pay attention to maintaining the continuity and predictability of policies, stabilizing the economic policy expectations of market entities and avoiding frequent changes in policies that can harm economic and firm value. The regulatory authorities should actively guide listed companies to increase active information disclosure during periods of high policy uncertainty.

This study contributes to the research on corporate governance by showing how EPU influences executives' behaviors. The authors advance relative studies by showing that this uncertainty embedded in a firm's external environments influences executive perquisite consumption. This study also contributes to the literature on how internal and external governances influence corporate behavior during uncertainty. These findings extend this line of research by suggesting that effective external governance is an attribute that can alleviate the effect of uncertainty on managers' opportunistic behaviors.

Although the importance of network embeddedness attracted much attention in recent years, the interpretations of the underlying mechanism almost focus on the positive effects and neglect the potential negative aspects. This paper aims to use Chinese listed manufacturing enterprises, in the perspective of network embeddedness, to analyze whether resource curse effects exist in strategic networks of enterprises.

This paper examines the resource curse effect that exists in enterprise networks through analysis of enterprise’s total factors productivity compared with those of its industry peers with different degrees of embeddedness. This paper then uses several different methods, such as clustered fixed and random effect model, core and peripheral model, and generalized method of moments estimation in endogenous checks, to detect network curse effects and reveal three potential mechanisms, including overinvestment, extra maintaining cost and innovation extrusion.

This paper finds that excessive network embeddedness hinders continuous improvement of productivity, which is derived from three mechanisms: excessive network embeddedness makes information redundancy among enterprises, and the imitate-follow effect makes excessive investment seriously; enterprises have to encounter more problems and difficulties, such as information coordination and benefit negotiation, to maintain network relationship, which leads to extra cost; enterprises with abundant network resources may tend to more emphasis on marketable operational abilities, resulting in resource decentralization and less investment on innovation, which is finally not beneficial to productivity improvement in the long run.

Compared with previous literatures, this paper not only enriches the understanding of negative mechanisms in enterprise`s network embeddedness, but also unfolds the inconsistency of network embeddedness effects in practice and finds new evidence that the two types of network embeddedness are consistent in certain circumstances.

Nitrogen oxides (NO_x) have been considered as primarily responsible for many serious environmental problems. Removing NO is the key task to remove NO_x hazards. To clarify, NO removal process for pitch-based spherical-activated carbons (PSACs), an online prediction and optimization technique in real-time based on support vector machine algorithm in regression (support vector regression [SVR]) is discussed. The purpose of this paper is to develop a predictor and optimizer system on selective catalytic reduction of NO (SCRN) using experimental data and data-driven SVR intelligence methods.

Predictor and optimizer using developed SVR have been proposed. To modify the training efficiency of SVR, the authors especially customize batch normalization and k-fold cross-validation techniques according to the unique characteristics of PSACs model.

The results present that SVR provides a property regression model since it can linkage linear and non-linear process and property relationships in few experimental data sets. Also, the integrated normalization and k-fold cross-validation show a satisfying improvement and results for SVR optimization. The predicted results of predictor and optimizer in single and double factor systems are in excellent agreement with the experimental data.

SCRN-PO for predicting and optimization SCRN problems is developed by data-driven methods. The outperformed SCRN-PO system is used to predict multiple-factors property parameters and obtain optimum technological parameters in real-time. Also, experiment duration is greatly shortened.

This paper aims to investigate the impact of pay-for-performance (PFP) perception and pay level satisfaction on work attitudes (job satisfaction, turnover intention and affective commitment) and extra-role behaviors (discretionary effort and interpersonal helping), and further, how three aspects of conditional factors – intrinsic motivation, leader–member exchange (LMX) and perceived organizational support (POS) – moderate the main-effect relationships.

The study was conducted at a Chinese private-owned company in the beauty industry, and a survey was conducted with the frontline employees in each office, asking information about their perceptions and attitudes toward the PFP scheme implemented in the company, work attitudes and performance, individual characteristics and their perceptions of group and organizational characteristics.

Results show that PFP perception and pay level satisfaction are significant predictors of work attitudes and extra-role behaviors. Further, depending on the specific work outcome examined, the three conditioning factors are found to strengthen the hypothesized main-effect relationships. The findings of the study have important theoretical and practical implications for the implementation of PFP schemes in organizations.

The findings contribute to the scholarship on PFP schemes in two ways. First, the findings show that PFP perception and pay level satisfaction are important for understanding employee work attitudes and extra-role behaviors. Second, the investigation of the moderating roles that intrinsic motivation, LMX and POS play in the relationships of PFP perception and pay level satisfaction with the work outcomes provides evidence to the limited understanding about the conditions that may strengthen or weaken the effectiveness of PFP schemes.