Search results

This study explores labor relations management behaviors of administrators and Party organizations in resource-based state-owned enterprises (SOEs) in China based on social exchange theory and embeddedness theory. It builds up a process model for managing collective labor conflicts in resource-based SOEs in the Chinese context.

A comparative case study is conducted using two resource-based SOEs with similar backgrounds but differing in effectiveness of the management of collective labor conflicts. Data are collected from interviews, archival sources and a one-month participatory investigation.

The administrators and Party organizations of resource-based SOEs manage collective labor conflicts by means of human resource practices (HRPs) and Party organizations' boundary-spanning behaviors (PBSBs), respectively; foremen and unions perform a mediation role, especially under circumstances where administrators employ high-performance HRPs and PBSBs are closely integrated with the production process. The marketization of the “new danwei system” exerts a “provocation effect” but does not necessarily lead to collective labor conflicts. The root cause of conflicts lies in the inherent defects of specific HRPs and PBSBs, as well as the absence of the Simmelian tie in the social exchange interaction of actors.

First, this study develops a new construct of PBSBs for enterprises' Party organizations and explores its underlying mechanisms, which enriches the range of actors studied in the context of Chinese labor relations; Second, the authors develop a new dimension called “exemplification” building on the existing three-dimensional structure of boundary-spanning behaviors, which expands boundary-spanning theory. Third, the findings that Simmelian tie structure could better maintain the stability of labor relationship in the mediation process of labor-capital conflict management enrich the social exchange theory from the perspective of structure. Finally, this study deepens the existing research on HRPs by proposing a new explanation for disputes.

Education plays an important role in improving Chinese rural laborers’ non-farm incomes. However, in Chinese western rural area, the level of return to education is very low due to the underdeveloped economy and the condition of the education system. For improving the schooling returns level, Chinese central government is paying great attention to the condition of education in the rural western area. To date, no research has examined what educational style is more favorable for improving western rural laborers’ non-farm incomes. To answer this question, the purpose of this paper is to compare the treatment effect of high school education and secondary vocational education on their non-farm incomes. That will provide significant evidence for the government to carry out educational policy.

Base on the Mincer model, several methods is used to estimate the average return to a year education on western rural labors’ non-farm income, including OLS, IV and Heckman tow-steps method, to accounting for the ability endogenous and self-selection bias. And the propensity score matching method is used in estimate the treatment effects of high school education and secondary vocational education.

The results from Mincer model showed that the schooling returns in Chinese western rural area were estimated to range from 2.7 to 3.9 percent, that were lower than the average levels in Chinese whole rural area that are estimated in the other recent studies. By using propensity score matching to roll out the heterogeneous bias, show that the treatment effect from high school education was higher than that from secondary vocational education, indicating that the secondary vocational education is better.

Studies concerning the causal relationship between schooling (high school education and secondary vocational education) and non-farm earnings in the western region of China remain very limited, even empty. This paper will make an update contribution to the literature in the area of education earnings in China.

The purpose of this paper is to build a monitoring scheme in order to detect and subsequently eliminate abnormal behavior of the concerned casting process so as to produce worm wheels with good quality characteristics.

In this a study, a process monitoring strategy has been devised for a centrifugal casting process using data-based multivariate statistical technique, namely, partial least squares regression (PLSR).

Based on a case study, the PLSR model constructed for this study seems to mimic the actual process quite well which is evident from the various performance criteria (predicted and analysis of variance results).

The practical implication of the study involves development of a software application with a back-end database which would be interfaced with a computer program based on PLSR algorithm for estimation of model parameters and the control limit for the monitoring chart. It would help in easy and real-time detection of faults.

This study concerns the application of a PLSR-based monitoring strategy to a centrifugal casting process engaged in the production of worm wheel.

Monitoring of a process leading to the detection of faults and determination of the root causes are essential for the production of consistent good quality end products with improved yield. The history of process monitoring fault detection (PMFD) strategies can be traced back to 1930s. Thereafter various tools, techniques and approaches were developed along with their application in diversified fields. The purpose of this paper is to make a review to categorize, describe and compare the various PMFD strategies.

Taxonomy was developed to categorize PMFD strategies. The basis for the categorization was the type of techniques being employed for devising the PMFD strategies. Further, PMFD strategies were discussed in detail along with emphasis on the areas of applications. Comparative evaluations of the PMFD strategies based on some commonly identified issues were also carried out. A general framework common to all the PMFD has been presented. And lastly a discussion into future scope of research was carried out.

The techniques employed for PMFD are primarily of three types, namely data driven techniques such as statistical model based and artificial intelligent based techniques, priori knowledge based techniques, and hybrid models, with a huge dominance of the first type. The factors that should be considered in developing a PMFD strategy are ease in development, diagnostic ability, fault detection speed, robustness to noise, generalization capability, and handling of nonlinearity. The review reveals that there is no single strategy that can address all aspects related to process monitoring and fault detection efficiently and there is a need to mesh the different techniques from various PMFD strategies to devise a more efficient PMFD strategy.

The review documents the existing strategies for PMFD with an emphasis on finding out the nature of the strategies, data requirements, model building steps, applicability and scope for amalgamation. The review helps future researchers and practitioners to choose appropriate techniques for PMFD studies for a given situation. Further, future researchers will get a comprehensive but precise report on PMFD strategies available in the literature to date.

The review starts with identifying key indicators of PMFD for review and taxonomy was proposed. An analysis was conducted to identify the pattern of published articles on PMFD followed by evolution of PMFD strategies. Finally, a general framework is given for PMFD strategies for future researchers and practitioners.

This study aims to present a numerical study of atomic structure for aluminium nitride (AlN) when the crystal was assumed grown on different orientation of sapphire substrate. The change of the AlN atomic structure with sapphire orientation was associated to the interface between the AlN and the sapphire. The results from this study would provide a guideline in selecting suitable orientation of sapphire for obtaining desirable AlN crystals, in particular, for reducing threading dislocation density in the AlN/sapphire templates for developing UV LEDs.

The approach of atomic structure by visualization for electronic and structural analysis numerical method to develop shape of atomic geometry to evaluate which plane are more suitable for the AlGaN technology UV-LED based.

The calculation based on ratio on first and second layers can be done by introduction of lattice constant.

With plane’s color of cutting plane on bulky materials, all the shape looks the same.

By implementing this method, the authors can save time to find the most suitable plane on the growth structure.

All authors of this research paper have directly participated in the planning, execution or analysis of the study; all authors of this paper have read and approved the final version submitted; the contents of this manuscript have not been copyrighted or published previously; the contents of this manuscript are not now under consideration for publication elsewhere; the contents of this manuscript will not be copyrighted, submitted or published elsewhere, whereas acceptance by the journal is under consideration.

Blockchain technology has been recognized as a potential solution to the challenges in managing healthcare information. Its adoption in the healthcare industry has garnered the attention of healthcare institutions and governments. Given the significant role of subsidies in promoting technology adoption, this study applies evolutionary game theory to examine the impact of government subsidies on the adoption of blockchain technology by healthcare institutions.

First, the authors analyze the interests of government administration departments and healthcare institutions separately in regards to blockchain adoption. Subsequently, the authors develop the payoff matrix of both participants and construct the evolutionary game model. And then, the authors calculate the replication dynamic equations and analyze the decision evolution of both participants through the replication dynamic equations and numerical experiments.

The numerical experiments demonstrate that government subsidies are effective in encouraging healthcare institutions to adopt blockchain technology. The study also reveals the necessary amount of subsidy required to guide healthcare institutions towards adoption. Additionally, the validity of the evolutionary game model in analyzing the interaction between governments and healthcare institutions is confirmed by the results.

Blockchain adoption in the healthcare industry differs from other emerging technologies, as there is the potential for it to reduce revenue for healthcare institutions. This study contributes to the analysis of theoretical models for promoting blockchain in the healthcare industry through subsidies. Additionally, it demonstrates the potential of evolutionary game theory in analyzing the adoption of blockchain technology, and the interaction between governments and healthcare institutions.

This study aims to explore the relationship between audit partner and firm industry specialization and board of director independence on the decision by Taiwanese firms to use International Financial Reporting Standards (IFRS) flexibility concerning reporting interest income and expense and dividends received in different sections of the statement of cash flows. This flexibility existed in Taiwan for the first time in 2013, the year that Taiwan switched from its own generally accepted accounting principle to IFRS.

Using 2013 data for a sample of 1,227 firms, 354 of whom changed their reporting classification, this study examined the interaction effect of board independence and partner-level and firm-level auditor industry specialization on the cash flow reporting decision using logistic regression.

The results show there is a substitute relationship between board independence and partner-level industry specialization on the change in cash flow reporting classification, but a complementary relationship between board independence and firm-level auditor specialization. Further, both partner-level and firm-level auditor industry specializations have a complementary (but negative) relationship with board independence as to whether the firm is likely to report interest expense paid in the operating or financing activities sections.

An important implication is that knowing the levels of audit firm and partner specialization and how independent the board is, is useful for researchers and regulators in investigating auditor-client relationships and understanding the influences of variables investigated here on the outcome(s) of accounting policy and regulatory changes.

This study improved the field’s understanding of the impacts of audit partner and firm specialization, board independence and relevant interactions on cash flow reporting choices.

Problem-solving” is the most crucial key insight of scientific research. This study focuses on constructing the “problem-solving” knowledge graph of scientific domains by extracting four entity relation types: problem-solving, problem hierarchy, solution hierarchy and association.

This paper presents a low-cost method for identifying these relationships in scientific papers based on word analogy. The problem-solving and hierarchical relations are represented as offset vectors of the head and tail entities and then classified by referencing a small set of predefined entity relations.

This paper presents an experiment with artificial intelligence papers from the Web of Science and achieved good performance. The F1 scores of entity relation types problem hierarchy, problem-solving and solution hierarchy, which were 0.823, 0.815 and 0.748, respectively. This paper used computer vision as an example to demonstrate the application of the extracted relations in constructing domain knowledge graphs and revealing historical research trends.

This paper uses an approach that is highly efficient and has a good generalization ability. Instead of relying on a large-scale manually annotated corpus, it only requires a small set of entity relations that can be easily extracted from external knowledge resources.

The purpose of this paper is to research and analyze the price of gold futures based on heterogeneous investors' overconfidence.

This paper divides the traders of gold futures market into two kinds: the speculators and arbitrageurs, and then constructs a market equilibrium model of futures pricing to analyze the behaviors of the two kinds of traders with overconfidence. After getting the decision-making function, the market equilibrium futures price is attained on the condition of market clearing. Then, this paper analyzes how the overconfidence impacts on futures price, volatility of the price of gold futures and the effects on individual utility.

Under different market conditions, the overconfidence psychological impacts of heterogeneous investor on the price and volatility of futures are different, sometimes completely opposite.

In the past literature, the relationships between overconfidence and the price or volatility are positive; however, the study shows that sometimes it is positive, and sometimes it is negative.

In order to improve the practicability of the design in state estimation, the paper aims to present a novel disturbance decoupled reduced‐order observer (DDRO) design scheme.

The paper first uses equivalence transformation to eliminate unknown input appearing in measurement. Then based on Luenberger observer and using two non‐singular coordinate transformation, the design observer can get no bias error in the state estimation.

By using this approach we find that the conditions of DDRO depend on the system itself that is weaker than other observers. It is a qualified and simple and straightforward approach to be applied in wide domains.

We should note that the number of independent rows of the matrix C must not be less than the number of the independent columns of the matrix E to satisfy condition rank(CE)=rank(E)=q. In other words, the maximum number of disturbances which can be decoupled cannot be larger than the number of independent measurements.

It is a very useful approach to solve the problem that the measurement is contaminated by disturbances.

The paper proposed an equivalence transformation. It is used to eliminate unknown input appearing in measurement. At the same time the algebraic transformation guaranteed that it would lose no information of the unknown inputs. And compared with other known results, the design condition of the reduced‐order observer which proposed in this paper depends on system itself, especially, which is weaker than others.