Search results

The hands of intelligent robots perceive external stimuli and respond effectively according to tactile or pressure sensors. However, the traditional tactile and pressure sensors cannot perform human-skin-like intelligent properties of high sensitivity, large measurement range, multi-function and flexibility simultaneously. The purpose of this paper is to present a flexible tactile-pressure sensor based on hyper-elastics polydimethylsiloxane and plate capacitance.

With regard to this problem, this paper presents a flexible tactile-pressure sensor based on hyper-elastics PDMS and plate capacitance. The sensor has a size of 10 mm × 10 mm × 1.3 mm and is composed of four upper electrodes, one middle driving electrode and one lower electrode. The authors first analyzed the structure and the tactile-pressure sensing principle of human skin to obtain the design parameters of the sensor. Then they presented the working principle, material selection and mechanical structure design and fabrication process of the sensor. The authors also fabricated several sample devices of the sensor and carried out experiments to establish the relationship between the sensor output and the pressure.

The results show that the tactile part of the sensor can measure a range of 0.05-1N/mm² micro pressure with a sensitivity of 2.93 per cent/N and a linearity of 0.03 per cent. The pressure part of the sensor can measure a range of 1-30N/mm² pressure with a sensitivity of 0.08 per cent/N and a linearity of 0.07 per cent.

This paper analyzes the tactile and pressure sensing principles of human skin and develop an intelligent sensitive human-skin-like tactile-pressure sensor for intelligent robot perception systems. The sensor can achieve to imitate the tactile and pressure function simultaneously with a measurement resolution of 0.01 N and a spatial resolution of 2 mm.

The purpose of this study is to examine whether and how financial performance feedback influences green innovation performance by drawing on the behavioral theory of the firm (BTOF) and relying on motivation-based logic.

A total of 17,558 firm-year observations from 3,062 publicly traded firms in China are used as the research sample.

The results reveal that low-performing firms are less likely to conduct green innovation activities because managers burden pressure to meet short-term targets. This study further finds that these relations are moderated by institutional ownership.

This study contributes to the BTOF literature by linking performance feedback to green innovation activities. This study applies a motivation-based logic to relate performance below and above aspirations to green innovation activities. This study introduces institutional ownership as a boundary condition.

Since monetary policy has great economic impacts, before the policy implementation, careful simulation combined with real economy movement condition can predict the policy implementation effect and reduce the cost of monetary policy implementation effectively. The paper aims to discuss these issues.

This paper selects the large commercial banks in China as the research objects, takes commercial bank capital adequacy requirement as the threshold constraint on the traditional monetary policy transmission path, and simulates the implementation effects of policy combination by applying computer technology.

It shows that the threshold effect of capital restriction policy will affect the transmission path of monetary policy, suppress the collective irrational behavior caused by the profit maximization behavior of commercial banks, and control the excessive fluctuation of macro economy.

If using capital adequacy constraints threshold function scientifically and appropriately, the paper can effectively eliminate the negative effect of short-term traditional monetary policy transmission mechanism, control the macroeconomic overall risk within a predetermined range, and realize the goal of monetary policy with low cost.

Based on the theory of credit rationing from Stigliz and Weiss, combining threshold factors of capital restraint policy with the traditional monetary policy transmission path, this paper examines that the policy combination may lead to the implementation effect. The method of simulation used in this paper has not been found in other literatures, and the results have strong implications to set up a reasonable and scientific macro-prudential banking regulation framework.

Innovative behavior is a microfoundation of an organization’s innovation. Knowledge workers are the main creators of innovations. With the boundaries between work and family becoming increasingly ambiguous, the purpose of this study is to explore how the work–family conflict affects knowledge workers’ innovative behavior and when such a conflict arises.

To test the theoretical model, this study collected data from a time-lagged matched sample of 214 dual-career couples. The data were analyzed with the bias-corrected bootstrapping method.

The results of this study showed that work-to-family conflict had not only a direct negative effect on knowledge workers’ innovative behavior but also an indirect effect through spouses’ within-family emotional exhaustion and knowledge workers’ family-to-work conflict. If wives’ gender role perceptions are traditional, then the indirect serial mediating effect is weakened, but if such perceptions are egalitarian, then the mentioned effect is aggravated.

In terms of organizational implications, managers could alter their approach by reducing detrimental factors such as work–family conflict to improve knowledge workers’ innovative behavior. Emotional assistance programs for both knowledge workers and their spouses can be used to prevent the detrimental effect of work–family conflict on innovative behavior. As to social implications, placing dual-career couples into a community of likeminded individuals and promoting their agreement on gender role identity will greatly reduce the negative effects of work–family conflict.

Starting from the perspective of the behavior outcome of knowledge management, this study advances the existing knowledge management literature by enriching the antecedents of knowledge workers’ innovative behavior, illuminating a spillover–crossover–spillover effect of work–family conflict on knowledge workers’ innovative behavior and identifying the boundary condition of this transmission process.

The purpose of this paper is to select the optimal feature parameters to further improve the identification accuracy of cashmere and wool.

To increase the accuracy, the authors put forward a method selecting optimal parameters based on the fusion of morphological feature and texture feature. The first step is to acquire the fiber diameter measured by the central axis algorithm. The second step is to acquire the optimal texture feature parameters. This step is mainly achieved by using the variance of secondary statistics of these two texture features to get four statistics and then finding the impact factors of gray level co-occurrence matrix relying on the relationship between the secondary statistic values and the pixel pitch. Finally, the five-dimensional feature vectors extracted from the sample image are fed into the fisher classifier.

The improvement of identification accuracy can be achieved by determining the optimal feature parameters and fusing two texture features. The average identification accuracy is 96.713% in this paper, which is very helpful to improve the efficiency of detector in the textile industry.

In this paper, a novel identification method which extracts the optimal feature parameter is proposed.

This paper aims to investigate how information and communication technology (ICT) services and digital finance affect the development of international tourism.

The two-way fixed effect panel regression model, spatial econometric model, panel threshold regression model and panel quantile regression model are used. Data on tourism, economic and social development in 198 Chinese cities from 2011 to 2020 are analyzed.

This study finds that digital economy including ICT services and digital finance has significantly promoted the development of international tourism industry, while there is a negative spatial spillover effect. The promotion effect of international tourism increases significantly after digital innovation reaches the threshold value. International tourism is benefiting more from digital economy with the development of international tourism industry.

The development quality of international tourism industry has not been analyzed due to data limitations, and the mechanism has not been tested.

This study creatively reveals the development of international tourism industry in the digital economy era from ICT services and digital finance perspectives. This study also shows the spatial, nonlinear and asymmetric relationship between digital economy and international tourism.

In order to extend the application of the original octagonal Goodman–Smith fatigue limit diagram, which is commonly used for the evaluation of structure fatigue stress in engineering, a modification of it is proposed for the structure made of S355 steel (commonly used in high-speed electric multiple units (EMUs) bogie frame).

The modification is made based on Deutscher Verband für Schweißen und verwandte Verfahren e. V. (DVS) 1612 standard and the γ-P-S-N curve, with consideration of the fatigue evaluation requirements of different survival rates and confidence levels. The verification of the modification is performed for three welded joints and for the comparison with the experimental data.

The results indicate that the design survival rate, the design safety margin and the fatigue stress evaluation of welded joint types are all improved by using the modified diagram.

There are relatively few studies on modifying octagonal Goodman–Smith fatigue limit diagram. In this paper, a modified diagram is proposed and applied in order to ensure the safety and durability of key welded structures of rail vehicles.

Loyalty membership is widely used as a marketing strategy to secure customer’s loyalty in many business sectors. The purpose of this paper is to focus on loyalty membership of customer in Malaysian luxury hotels, specifically, in the capital city of Kuala Lumpur, Malaysia by looking into the perceived value of economic, interaction and psychological needs.

Quantitative cross-sectional research was conducted to explore the feedback from customers who have loyalty membership with a luxury hotel. Surveyed data of 489 respondents were analysed using confirmatory factor analysis and structural equation modelling.

There is a significant positive relationship between the psychological needs and perceived value. The relationship between the perceived value and customer’s loyalty is also significant and positive. However, there is no significant relationship between the economic value and the interaction constructs with the perceived value. The perceived value functions as a mediator for the economic value, interaction and psychological needs in respect of customer’s loyalty.

Hotel management should prioritise addressing the elements of psychological needs to enhance the perceived value from the customers’ perspective. The strength of the perceived value indirectly stimulates customer’s loyalty to a hotel, followed by the interaction and economic value from the customer value perspective to ensure customer’s loyalty.

This research highlights on how customers can be secured by a luxury hotel chain through a loyalty membership strategy. The knowledge generated from this research is expected to provide insights to practitioners on how to enhance their loyalty membership marketing strategy.

The authors consider a dynamic emission-reduction technology investment decision-making problem for an emission-dependent dyadic supply chain consists of a manufacturer and a retailer under subsidy policy for carbon emission reduction. The consumers are assumed to prefer to low-carbon products and formulate a supply chain optimal control problem.

The authors adopt differential game to analyze investment strategies of cost subsidy coefficient with respect to vertical incentive of a manufacturer and a retailer. A comparison analysis under four different decision-making situations, including decentralized decision-making, centralized decision-making, maximizing social welfare, is obtained.

The results show that the economic benefit and environmental pressure have a win–win performance in centralized decision-making. In four different game models, equilibrium strategies, profits and social welfare show changing diversity and have a consistent development trend as time goes on.

The authors estimate the demand function is a linear function in this paper. According to the consumers’ preference to low-carbon products, consumer’s awareness meets the law of diminishing marginal utility like advertising goodwill accumulation. The carbon-sensitive coefficient might be a quadratic expression, which will complicate the problem and be consistent with reality.

It captures that there is a necessity to strengthen cooperation and exchange of carbon emission technology among the enterprises by simulation of different decision-makings when government granted cost subsidy.

The results provide significant guidelines for the supply chain to make decision-makings of emission-reduction technology investment and relevant government departments to determine emission subsidies costs.

An endogenous subsidies coefficient is produced by the social welfare function. Distinguished from previous study, it also considered the influences of carbon emission trade policy and consumer preference.

Based on the perspective of knowledge management capability, this paper aims to reveal the internal mechanism of the digital empowerment of mobile social platforms to improve the operational performance of Chinese traditional retail enterprises. Such improvements have crucial theoretical value and practical implications for Chinese traditional retail enterprises to achieve transformation and sustainable development.

This study applied the typical analysis method, selected China’s leading mobile social platform, WeChat, as a typical case, and observed and analyzed the public data of the traditional retail industry and social platforms and interviews with relevant enterprises. On this basis, this study used the inductive and deductive methods of qualitative research to conduct an in-depth analysis of the mechanism by which WeChat’s digital empowerment improves the operational performance of Chinese traditional retail enterprises. It also discussed the critical role and path knowledge management capabilities play in this mechanism.

This research demonstrated that mobile social platforms empower Chinese traditional retail enterprises to build diversified digital channels, enhance the knowledge acquisition capability of enterprises and thus improve their performance; empower Chinese traditional retail enterprises to build digital community networks, enhance the knowledge diffusion capability of enterprises and thus improve their performance; and empower Chinese traditional retail enterprises to integrate online and offline businesses, enhance the knowledge integration capability of enterprises and thus improve their performance.

This study clarifies the internal mechanism of how the digital empowerment of mobile social platforms can improve the performance of Chinese traditional retail enterprises. This mechanism implies that knowledge management capabilities (knowledge acquisition, diffusion and integration capability) are the underlying logic for Chinese traditional retail enterprises to achieve higher performance levels. This has important practical implications for managers of Chinese traditional retail enterprises to leverage the digital infrastructure of mobile social platforms to achieve the sustainable development of enterprises.

This study provides an in-depth analysis of how the traditional retail industry uses digital social platforms to improve operational performance from the perspective of knowledge management capabilities, which can further promote the theoretical research and practical development of digitalization and knowledge management. At the same time, this study explored the research on the operational performance of Chinese traditional retail enterprises from the perspective of knowledge management capabilities and expanded the research on knowledge management in related fields. The authors have initially sorted out the impact of knowledge management capabilities on the operational performance of Chinese traditional retail enterprises in the digital era. This will help better understand the role and function of knowledge management in strategic transformation and expand the application of knowledge management theory.