Zheng (Daniel) Duan, Christian Yao and Hongxia Qi
Extensive research has demonstrated the influence of job resources on mitigating the impact of high job demands on individual well-being. Still, little is known about how…
Abstract
Purpose
Extensive research has demonstrated the influence of job resources on mitigating the impact of high job demands on individual well-being. Still, little is known about how individuals use job resources to cope. This study advances job demands-resources (JD-R) theory by investigating the process of job resource utilization from a coping perspective.
Design/methodology/approach
This study is based on in-depth interviews with 32 Chinese senior executives using a Critical Incident Technique (CIT) for data collection and thematic analysis for data analysis.
Findings
Data analysis reveals a 2x2 matrix model of resource utilization, highlighting the relevance of internal and external job resources in coping and resource creation.
Practical implications
The findings suggest that work stress intervention should look beyond the organizational domain and assist senior executives in exploring and developing external resources for coping. Additionally, organizations should equip senior executives with sufficient support to create new job resources that effectively manage complicated job demands.
Originality/value
The results of this study extend the understanding of job resources by distinguishing internal and external job resources. It also provides a dynamic view of resource utilization, emphasizing the role of job crafting in creating adaptable job resources to meet job demands.
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Hongxia Qi and Ying Wu
The emulation of synapses is essential to neuromorphic computing systems. Despite remarkable progress has been made in the two-terminal device (memristor), three-terminal…
Abstract
Purpose
The emulation of synapses is essential to neuromorphic computing systems. Despite remarkable progress has been made in the two-terminal device (memristor), three-terminal transistors evoke greater attention because of the controlled conductance between the source and drain. The purpose of this paper is to investigate the synaptic plasticity of the TiO2 nanowire transistor.
Design/methodology/approach
TiO2 nanowire transistor was assembled by dielectrophoresis, and the synaptic plasticity such as paired-pulse facilitation, learning behaviors and high-pass filter were studied.
Findings
Facilitation index decreases with the increasing pulse interval. A bigger response current is obtained at the pulses with higher amplitude and smaller intervals, which is similar to the consolidated memory at the deeply and frequently learning. The increased current at the higher stimulus frequency demonstrates a promising application in the high-pass filter.
Originality/value
TiO2 nanowire transistors possess broad application prospects in the future neural network.
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Xinyue Qi, Rongjun Cheng and Hongxia Ge
This study aims to consider the influence of density difference integral and relative flow difference on traffic flow, a novel two-lane lattice hydrodynamic model is proposed. The…
Abstract
Purpose
This study aims to consider the influence of density difference integral and relative flow difference on traffic flow, a novel two-lane lattice hydrodynamic model is proposed. The stability criterion for the new model is obtained through the linear analysis method.
Design/methodology/approach
The modified Korteweg de Vries (KdV) (mKdV) equation is derived to describe the characteristic of traffic jams near the critical point. Numerical simulations are carried out to explore how density difference integral and relative flow difference influence traffic stability. Numerical and analytical results demonstrate that traffic congestions can be effectively relieved considering density difference integral and relative flow difference.
Findings
The traffic congestions can be effectively relieved considering density difference integral and relative flow difference.
Originality/value
Novel two-lane lattice hydrodynamic model is presented considering density difference integral and relative flow difference. Applying the linear stability theory, the new model’s linear stability is obtained. Through nonlinear analysis, the mKdV equation is derived. Numerical results demonstrate that the traffic flow stability can be efficiently improved by the effect of density difference integral and relative flow difference.
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James U. McNeal and Hongxia Zhang
China's population of children is the largest in the world. It is the largest in terms of numbers in spite of its limitation of one child per family. Soon it will be the largest…
Abstract
China's population of children is the largest in the world. It is the largest in terms of numbers in spite of its limitation of one child per family. Soon it will be the largest children's market in terms of economic clout. Since marketers tend to use a simple fortnula for determining market potential of a geography, that is, People X Dollars = Markets, these facts are causing China's children to receive increasing attention from Western marketers. Brands such as Lego, Barbie, Nestle, M&M, Pepsi, Kraft, Crayola, Johnson & Johnson, Nike, and McDonald's are in head‐to‐head competition with many of China's major producers and retailers for a share of this market. Consequently, information about the children's market in China is needed.
Yamin Xie, Zhichao Li, Wenjing Ouyang and Hongxia Wang
Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political…
Abstract
Purpose
Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.
Design/methodology/approach
Using 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.
Findings
Local official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.
Originality/value
Local government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.
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The purpose of this paper is to investigate the impact of fairness concern on the optimal pricing, carbon emission reduction (CER), green marketing efforts (GME) and utility of…
Abstract
Purpose
The purpose of this paper is to investigate the impact of fairness concern on the optimal pricing, carbon emission reduction (CER), green marketing efforts (GME) and utility of supply chain members in a two-echelon low-carbon supply chain composed of one manufacturer and one retailer. First, three basic models that consider the manufacturer’s different attitudes toward the retailer’s fairness concern are constructed. The optimal decisions of these models are obtained. Second, these optimal solutions are compared, and the effects of some key parameters including fairness concern on the optimal decisions and utility are examined for the three models. Furthermore, the manufacturer may misestimate the retailer’s fairness concern; therefore, an extended model is proposed.
Design/methodology/approach
The authors adopt the manufacturer-led Stackelberg game theoretic framework, where the manufacturer decides the wholesale price and CER level and, then, the retailer determines the retail price and GME.
Findings
The results show that fairness concern has a negative impact on the wholesale price, the level of CER and GME, and fairness concern are not always beneficial for maximizing utility, although it is related to whether the manufacturer pays attention to the retailer’s fairness concern. The manufacturer will gain more utility when considering the fairness concern of retailers than non-consideration. Overestimating or underestimating the fairness concern of the retailers does not lead to benefits for the manufacturer.
Research limitations/implications
This study has the following two limitations that need to be addressed in future research. First, the authors only consider the fairness concern of a single retailer but not peer-induced fairness among multiple competing retailers, which can be taken into account in future studies. Second, the demand function is linearly related to price, CER and GME. Because of the uncertainty of market information, the uncertainty demand function can be further considered.
Originality/value
This paper simultaneously considers the factors CER, GME and fairness concern. The utility function of the retailer is established according to taking the Nash bargaining solution as a fairness reference point, and four different models are constructed and compared.
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Ting Wang, Rongjun Cheng and Hongxia Ge
The purpose of this paper is to explore the impact of the mixed traffic flow, self-stabilization effect and the lane changing behavior on traffic flow stability.
Abstract
Purpose
The purpose of this paper is to explore the impact of the mixed traffic flow, self-stabilization effect and the lane changing behavior on traffic flow stability.
Design/methodology/approach
An extended two-lane lattice hydrodynamic model considering mixed traffic flow and self-stabilization effect is proposed in this paper. Through linear analysis, the stability conditions of the extended model are derived. Then, the nonlinear analysis of the model is carried out by using the perturbation theory, the modified Kortweg–de Vries equation of the density of the blocking area is derived and the kink–antikink solution about the density is obtained. Furthermore, the results of theoretical analysis are verified by numerical simulation.
Findings
The results of numerical simulation show that the increase of the proportion of vehicles with larger maximum speed or larger safe headway in the mix flow are not conducive to the stability of traffic flow, while the self-stabilization effect and lane changing behavior is positive to the alleviation of traffic congestion.
Research limitations/implications
This paper does not take into account the factors such as curve and slope in the actual road environment, which will have more or less influence on the stability of traffic flow, so there is still a certain gap with the real traffic environment.
Originality/value
The existing two-lane lattice hydrodynamic models are rarely discussed in the case of mixed traffic flow. The improved model proposed in this paper can better reflect the actual traffic, which can also provide a theoretical reference for the actual traffic governance.
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To empirically estimate a rough set (RS) model in financial distress prediction for Chinese listed companies and assess its classification accuracy.
Abstract
Purpose
To empirically estimate a rough set (RS) model in financial distress prediction for Chinese listed companies and assess its classification accuracy.
Design/methodology/approach
RS model is used to test the effect of financial ratios and some non‐financial ratios on the probability of financial distress with a sample of 212 financial distressed firms and 212 healthy firms through years 1998‐2005.
Findings
Growth ratio of per share of equity, net return on assets, earnings per share, interest coverage, ownership concentration coefficient, net profit margin, pledge, retained‐earnings ratio and total assets turnover have strong classification power in financial distress prediction of Chinese listed companies, especially the ownership concentration coefficient. Prediction model combining financial and non‐financial ratios outperforms the one just containing financial ratios.
Research limitations/implications
One limitation of this research is that it relies on publicly available data and the RS method. Further research can be devoted to making comparisons between the RS method and other prediction methods, and constructing hybrid prediction models with the use of RS and other artificial intellectual methods as well.
Practical implications
It is necessary to consider every aspect of the company when making financial distress prediction, not just financial ratios, to improve the explanatory power of the prediction model.
Originality/value
This study explores how financial ratios and non‐financial ratios, with the help of RS theory, under the restricted tradability of stocks in the emerging stock market, impact on corporate financial distress. The prediction model employed here considers not only accounting ratios, but also cash flow and corporate governance variables, thus improving the prediction accuracy.
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Kanokkarn Snae Namahoot and Viphasiri Jantasri
The purpose of this paper is to propose a model that examines the relationships among the five dimensions of the unified theory of acceptance and use of technology (UTAUT) toward…
Abstract
Purpose
The purpose of this paper is to propose a model that examines the relationships among the five dimensions of the unified theory of acceptance and use of technology (UTAUT) toward the overall behavioral intentions (BIs); to use cashless payment systems in Thailand, which are practically based on the basic models and theories of consumer behavior such as the theory of reasoned action (TRA), theory of planned behavior (TPB) and technology acceptance model (TAM); and to explain the indirect effects between UTAUT and BIs to use cashless payment systems mediating by perceived risk and trust.
Design/methodology/approach
A total of 708 respondents, who have had an experience with a cashless payment system in Thailand, were selected using a stage sampling method. The data obtained from the participants were analyzed using a structural equation modelling approach.
Findings
The results of this paper reveal that UTAUT model, perceived risk and trust have all significant influences on BIs to use a cashless payment system. This suggests that consumers in Thailand adopt to specific financial technological innovation if they perceive that the risk is low and they can trust the system, especially if it is associated with a reliable online banking network.
Originality/value
The basic understanding of the UTAUT model that influences BIs to use cashless payment systems has been the focus of this current paper. This paper empirically examined the overall direct and indirect influences of UTAUT model and perceived risk, trust and BI to use. This current paper also expands the UTAUT theory by exploring several dimensions (i.e. performance expectancy, effort expectancy and social influence). Research findings reveal that effort expectancy can reduce perceived risk and increase trust in Thailand's cashless payment systems. This can generate more customer interest and engagement, as well as provide insights into customers' intentions in using a cashless payment system.
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Bin Chen, Hongxia Cao and Nina Wan
The purpose of this paper is to study the insulation structure optimization method of multiwinding high-frequency transformer (HFT).
Abstract
Purpose
The purpose of this paper is to study the insulation structure optimization method of multiwinding high-frequency transformer (HFT).
Design/methodology/approach
This paper takes 100 kW, 10 kHz multiwinding HFT as the research object. First, the distribution of electric field strength within the core window of multiwinding HFT with different winding configurations is simulated by the electrostatic field finite element method. The symmetrical hybrid winding structure with minimum electric field strength is selected as the insulation design. To reduce the electric field strength at the end region of the winding, the electrostatic ring and angle ring are designed based on the response surface method.
Findings
The optimal results show that the maximum electric field strength can be reduced by 15.4%, and the low voltage stress can be achieved.
Originality/value
The above research provides guidance and basis for the optimal design of insulation structure of multiwinding HFT.