High-performance work systems -performance research has dominated innovative human resource management studies for two decades. However, mainstream HPWS research has paid little attention to employees’ perceptions of HPWS, or to the relationship between HPWS and corporate social performance. The influence of CSP on employee outcomes such as organizational commitment and organizational citizenship behaviour has thus been similarly neglected. This paper seeks to investigate these missing links in literature using data collected from a sample of 700 employees in China. The findings (...) demonstrate that HPWS is positively related to HPWS satisfaction and employees’ perceptions of CSP. HPWS satisfaction fully mediates the relationship between HPWS and employees’ affective commitment. There are multiple mediators between HPWS and OCB, indicating more complicated mechanisms through which HPWS leads to desired HR outcomes. Employees’ perceived CSP has a significant influence on HPWS satisfaction, AC and OCB, suggesting firms should place a premium on achieving a reputation as being socially responsible. (shrink)

The influence of corporate social performance on stakeholders is one of the focal issues in corporate social responsibility research. Using data of listed companies in China, this paper examines whether CSR behavior in the form of charitable donations garners a positive reaction from suppliers. Results derived from both level and change model regressions show that superior CSP makes it easier for a firm to obtain trade credit from suppliers, although the effect is significant only in non-state-owned enterprises. The results are (...) robust to various measures of CSP and endogeneity tests. The results support the strategic philanthropy view and apply stakeholder theory in supply chain, that strategic CSR can help firms to attract suppliers and consolidate cooperative relationships with them, which in turn benefits the firms in terms of more trade credit financing from suppliers. This paper also shows that state-owned enterprises and non-SOEs have different CSR intentions and use CSR to achieve strategic goals in different ways. The conclusions drawn from this study provide practical guidance on CSR strategy, suggesting that CSR activities can help a firm in transition economies to enhance its corporate image, establish and consolidate the good relationship with suppliers, and obtain economic benefits or achieve long-term business objectives. (shrink)

How to mitigate stock price crash risk has become a focus in the theoretical and practical fields. Building on the work of Kim et al., this paper investigates the relation between corporate philanthropy and crash risk under the unique Chinese institutional background. The results show that both state ownership and the 2005 split share reform attenuate the mitigating effect of corporate philanthropy on crash risk. Specifically, the negative relation between corporate philanthropy and crash risk is less pronounced for state-owned enterprises (...) than for non-state-owned enterprises, and it is also less pronounced after firms accomplish the split share reform. Further, this effect is more pronounced for firms with greater financial risks and poorer performance. Our paper contributes to the growing literature on the determinants of stock price crash risk and the economic consequences of corporate philanthropy. It also offers useful guidance to firms that are seeking to reduce stock price crash risk in emerging markets. (shrink)

Filtering based state of charge estimation with an equivalent circuit model is commonly extended to Lithium-ion batteries for electric vehicle or similar energy storage applications. During the last several decades, different implementations of online parameter identification such as Kalman filters have been presented in literature. However, if the system is a moving EV during rapid acceleration or regenerative braking or when using heating or air conditioning, most of the existing works suffer from poor prediction of state and state estimation error (...) covariance, leading to the problem of accuracy degeneracy of the algorithm. On this account, this paper presents a particle filter-based hybrid filtering method particularly for SOC estimation of Li-ion cells in EVs. A sampling importance resampling particle filter is used in combination with a standard Kalman filter and an unscented Kalman filter as a proposal distribution for the particle filter to be made much faster and more accurate. Test results show that the error on the state estimate is less than 0.8% despite additive current measurement noise with 0.05 A deviation. (shrink)

This paper presents a report on the first Swiss Master Class in Corporate Social Responsibility, which was held between the 8th and 9th December 2006 at HEC Lausanne in Switzerland. The first section of the report introduces the topic of the master class – ‚Corporations as Political Actors – Facing the Postnational Challenge’ – as well as the concept of the master class. The second section gives an overview of papers written by nine young scholars that were selected to present (...) their research. The brief summary of each paper also includes a summary of comments from the masters, practitioners, and NGO representatives at the event. The third section brings in the perspectives of one master and one NGO representative on the discussed issues. The final section offers a brief wrap-up of the discussed topics and outlines ways to structure future conceptual and empirical research. (shrink)

This paper reports a study of the key success factors of what have been recognized as successful service enterprises in China, each considered representative of its respective industry. The grounded theory approach was used to analyze information collected from these enterprises, resulting in the identification of the attributes shared by these enterprises: customer-oriented service, service management, service innovation, and corporate social responsibility. Based on these attributes, a survey was conducted to verify the relationships among these attributes and important outcomes, namely (...) customer satisfaction, perceived service quality, and enterprise reputation. The results of the statistical analysis indicate that the four attributes have positive impacts on service outcomes. The findings are of far-reaching importance in view of the vast potential service markets in China. (shrink)

. The defects in macro traffic model research are pointed out firstly. In order to remedy these defects, traffic movements at the grid intersection were analyzed, and with the basic framework of the traffic transmission model, the new macro traffic model used in the paper for control simulation and evaluation has been proposed. Secondly, the bi-level optimization control model is proposed, using minimal delay and maximal throughput as its upper objectives, and optimal traffic coordination on both sides as the lower (...) objective. A corresponding heuristic ant algorithm is subsequently designed to solve the control model. Finally, the proposed method is tested at a suppositional road network, under three different demand scenarios, compared with Transyt-7F. The results show that the proposed method has better performance, especially under high demand scenarios. (shrink)

With the increase in depth of coal mining, the hydrogeological complexity largely increases and water inrush accidents happen more frequently. For the safety of coal mining, horizontal directional drilling and grouting techniques have been implemented to detect and plug the fractures and conduits that deliver high-pressure groundwater to coal mine. Taking the grouting engineering performed at Xingdong coal mine at 980 m below sea level as an example, we collected the data of grouting quantity, the loss of drilling fluid, gamma (...) value, water temperature, average water absorption, distance between grouting loss points, water pressure on coal seam floor, and aquifuge thickness at 90 boreholes in the mine to conduct grey relational analysis, first. The analysis showed that the grouting quantity was highly correlated with all other factors. Subsequently, grey system evaluation was used to evaluate the risk of water inrush from the coal seam floor. The results of risk analysis illustrated that three water inrushes from Ordovician limestone occurred in mining face 2127, 2125, and 2222 in the study area were all located in the area with a risk score higher than 65. Through grouting, the identified cracks were effectively blocked and waterproof layers beneath the coal seam floors were constructed to reduce the threat of water inrush. By comparing the risk assessment results with three water inrush cases before grouting operation, we found that water inrush areas were consistent with the area of higher risk. (shrink)

Using PitchBook’s private equity database of 4548 PE funds from 42 countries for the 2000 to 2012 period, we find that higher reporting frequency is associated with lower information asymmetry in performance reports from general partners to limited partners. We also find that endowments are systematically associated with less reported unrealized returns as a percentage of total returns generated from GPs. Moreover, endowments receive more performance reports from their PE funds, implying more stringent governance. These findings persist after controlling for (...) various institutional and GP characteristics and are robust to several adjustments for endogeneity concerns. This study also contributes to the finance, accounting, and business ethics literature on financial reporting quality. (shrink)

Numerous studies have shed some light on the importance of associated factors of collaborative attitudes. However, most previous studies aimed to explore the influence of these factors in isolation. With the strategy of data-driven decision making, the current study applied two data mining methods to elucidate the most significant factors of students' attitudes toward collaboration and group students to draw a concise model, which is beneficial for educators to focus on key factors and make effective interventions at a lower cost. (...) Structural equation model trees and structural equation model forests were applied to the Program for International Student Assessment 2015 dataset. By establishing the most important predictors and the splitting rules, these methods constructed multigroup common factor models of collaborative attitudes. The SEM trees showed that home educational resources, home possessions, mother's education, and gender were the most important predictors among the demographic variables, drawing a 5-group model. Among all the predictors, achievement motivation and sense of belonging at school were the most important, drawing a 6-group model. The SEM forest findings proved the relative importance of these variables. This paper discusses various interpretations of these results and their implications for educators to formulate corresponding interventions. Methodologically, this research provides a data mining approach to discover important information from large-scale educational data, which might be a complementary approach to enhance data-driven decision making in education. (shrink)

BackgroundFried physical frailty, with mobility frailty and non-motor frailty phenotypes, is a heterogeneous syndrome. The coexistence of the two phenotypes and cognitive impairment is referred to as cognitive frailty. It remains unknown whether frailty phenotype has a different association with hearing loss and tinnitus.MethodsOf the 5,328 community-dwelling older adults, 429 participants aged ≥58 years were enrolled in the study. The participants were divided into robust, mobility, and non-mobility frailty, mobility and non-mobility CF, and cognitive decline [subdivided into mild cognitive impairment (...) and pre-MCI] groups. The severity and presentations of HL and/or tinnitus were used as dependent variables in the multivariate logistic or nominal regression analyses with forward elimination adjusted for frailty phenotype stratifications and other covariates.ResultsPatients with physical frailty or who are robust were found to have lower probability of developing severe HL and tinnitus, and presented HL and/or tinnitus than those with only cognitive decline, or CF. Patients with RCF and non-mobility RCF had higher probability with less HL and tinnitus, and the presentation of HL and/or tinnitus than those with PRCF and mobility RCF. Other confounders, age, cognitive and social function, cardiovascular disease, depression, and body mass index, independently mediated the severity of HL and tinnitus, and presented HL and/or tinnitus.ConclusionFrailty phenotypes have divergent association with HL and tinnitus. Further research is required to understand the differential mechanisms and the personalized intervention of HL and tinnitus.Clinical Trial RegistrationClinicalTrials.gov identifier, NCT2017K020. (shrink)

We have developed a vacuum-crushing method for the extraction of gases stored in shale for the determination of gas yield, chemical composition, and carbon isotopic composition by online gas-chromatography and mass spectrometry. Analysis of the evacuation and parallel experiments showed low standard deviation and good reproducibility. This approach significantly improved the detection limits for trace-gas analysis in shale and measured multiple nonhydrocarbon gas components in a single run. We analyzed the chemical and carbon isotopic compositions of the gases released by (...) one-step vacuum crushing from nineteen samples of organic-rich Longmaxi Formation shale in Changning outcrop, Sichuan Basin, China, and we studied the main controls on gas chemistry of retained gas in the Longmaxi Shale. The results showed that the crushed gas is high in [Formula: see text] and [Formula: see text] but low in [Formula: see text]. The crushed gas has obviously lower [Formula: see text] ratios than the gas produced from the Longmaxi Fm. after hydraulic fracturing; it was dominated by [Formula: see text] gas while it is normalized to 100% total gaseous hydrocarbons and similar in chemical composition to hydrocarbon gases in the produced gas. Yields of [Formula: see text], [Formula: see text], and [Formula: see text] in the crushed gas of most samples showed a weak positive correlation with total organic carbon contents. The crushed gas had significantly light [Formula: see text] values and similar [Formula: see text] values when compared with the produced gas in the Changning area. The [Formula: see text] values of [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text] have similar features to the produced gas from the Weiyuan shale-gas play. Isotopically reversed trends between ethane and methane were observed for some samples. Our findings regarding the similarity in chemical and carbon isotopic compositions between crushed gas and produced gas from the Weiyuan shale-gas play might provide important evidence of the origin and storage of shale gas in the organic-rich Silurian Longmaxi Fm. (shrink)

Through an analysis of survey data gathered from private firms in China, this study examines the impact of employee protection on corporate innovation ability. The results indicate that firms with more advanced employee protection have stronger innovation ability. Furthermore, the positive relationship between employee protection and corporate innovation ability is more pronounced in those enterprises with labor unions. Finally, a firm’s political connections strengthen the influence of employee protection on corporate innovation. These empirical findings highlight the positive consolidating effects of (...) labor unions and political connections and will be of value to policy makers in emerging markets in gauging the important drivers of corporate innovation ability. (shrink)

As a promising method with excellent characteristics in terms of resilience and dependability, distributed methods are gradually used in the field of energy management of microgrid. However, these methods have more stringent requirements on the working conditions, which will make the system more sensitive to communication failures and cyberattacks. As a result, it is both theoretical merits and practical values to investigate the malicious effect of cyber attacks on microgrid. This paper studies the distributed economic dispatch problem under denial-of-service attacks (...) for the microgrid, in which each generator can communicate with its neighbors and has the computational capability to implement local operation. Firstly, a DoS attack model is proposed, in which the DoS attacker intentionally jams the communication channel to deteriorate the performance of the microgrid. Then, the evolution mechanism of the dispatch system of the microgrid under different attack scenarios is adequately discussed. On this basis, an optimal attack strategy based on enumerating-search algorithm is presented to allocate the limited attack resources reasonably, so as to maximize the effect of DoS attacks. Finally, the validity of the theoretical studies about the attack effect under different scenarios and the effectiveness of the proposed enumerating-search-based optimal attack strategy are illustrated through the simulation examples on the IEEE 57-bus system and IEEE 39-bus system, respectively. (shrink)

The supervised learning-based recommendation models, whose infrastructures are sufficient training samples with high quality, have been widely applied in many domains. In the era of big data with the explosive growth of data volume, training samples should be labelled timely and accurately to guarantee the excellent recommendation performance of supervised learning-based models. Machine annotation cannot complete the tasks of labelling training samples with high quality because of limited machine intelligence. Although expert annotation can achieve a high accuracy, it requires a (...) long time as well as more resources. As a new way of human intelligence to participate in machine computing, crowdsourcing annotation makes up for shortages of machine annotation and expert annotation. Therefore, in this paper, we utilize crowdsourcing annotation to label training samples. First, a suitable crowdsourcing mechanism is designed to create crowdsourcing annotation-based tasks for training sample labelling, and then two entropy-based ground truth inference algorithms are proposed to achieve quality improvement of noise labels provided by the crowd. In addition, the descending and random order manners in crowdsourcing annotation-based tasks are also explored. The experimental results demonstrate that crowdsourcing annotation significantly improves the performance of machine annotation. Among the ground truth inference algorithms, both HILED and HILI improve the performance of baselines; meanwhile, HILED performs better than HILI. (shrink)

A sector is a basic unit of airspace whose operation is managed by air traffic controllers. The operation complexity of a sector plays an important role in air traffic management system, such as airspace reconfiguration, air traffic flow management, and allocation of air traffic controller resources. Therefore, accurate evaluation of the sector operation complexity is crucial. Considering there are numerous factors that can influence SOC, researchers have proposed several machine learning methods recently to evaluate SOC by mining the relationship between (...) factors and complexity. However, existing studies rely on hand-crafted factors, which are computationally difficult, specialized background required, and may limit the evaluation performance of the model. To overcome these problems, this paper for the first time proposes an end-to-end SOC learning framework based on deep convolutional neural network specifically for free of hand-crafted factors environment. A new data representation, i.e., multichannel traffic scenario image, is proposed to represent the overall air traffic scenario. A MTSI is generated by splitting the airspace into a two-dimension grid map and filled with navigation information. Motivated by the applications of deep learning network, the specific CNN model is introduced to automatically extract high-level traffic features from MTSIs and learn the SOC pattern. Thus, the model input is determined by combining multiple image channels composed of air traffic information, which are used to describe the traffic scenario. The model output is SOC levels for the target sector. The experimental results using a real dataset from the Guangzhou airspace sector in China show that our model can effectively extract traffic complexity information from MTSIs and achieve promising performance than traditional machine learning methods. In practice, our work can be flexibly and conveniently applied to SOC evaluation without the additional calculation of hand-crafted factors. (shrink)

Emotion regulation plays a vital role in individuals’ well-being and successful functioning. In this study, we attempted to develop a computerized adaptive testing to efficiently evaluate ER, namely the CAT-ER. The initial CAT-ER item bank comprised 154 items from six commonly used ER scales, which were completed by 887 participants recruited in China. We conducted unidimensionality testing, item response theory model comparison and selection, and IRT item analysis including local independence, item fit, differential item functioning, and item discrimination. Sixty-three items (...) with good psychometric properties were retained in the final CAT-ER. Then, two CAT simulation studies were implemented to assess the CAT-ER, which revealed that the CAT-ER developed in this study performed reasonably well, considering that it greatly lessened the test items and time without losing measurement accuracy. (shrink)