Yufei Xiu, Qiankun Shen, Fei Fan and Chaoxia Wang
A disperse fluorescent yellow paste was mixed with a dispersant naphthalene sulfonic derivative via wet grinding process to prepare thermal transfer ink with good fluorescence…
Abstract
Purpose
A disperse fluorescent yellow paste was mixed with a dispersant naphthalene sulfonic derivative via wet grinding process to prepare thermal transfer ink with good fluorescence. The paper aims to discuss these issues.
Design/methodology/approach
The surface tension, viscosity, pH value, zeta potential, stability and the morphology of ink samples were tested after the storing process.
Findings
The morphology of paste was homogeneous nearly spherical nanoparticles and the particle size was about 100 nm from the transmission electron microscopy (TEM), which was similar to the average particle size obtained from the particle size analyser.
Research limitations/implications
The paste particle size was 126.8 nm after storing at 50°C for one week. The addition of diethylene glycol was conducive to high fluorescent reflectivity and gave good line image quality both in warp and weft directions due to the low viscosity. Inkjet printed polyester fabrics achieved excellent rubbing, laundering and thermal subliming fastnesses.
Originality/value
The polyester fabrics thermal transferred with the ink contained diethylene glycol represented higher fluorescent reflectivity and gave better line image quality both in warp and weft directions. The inkjet printed polyester fabrics showed excellent colour reproducibility and all the fastnesses, including rubbing, laundering and thermal subliming, were higher than Grade 4.
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Cheng Hsiao, Yan Shen and Qiankun Zhou
Panel data provide the possibilities of estimating individual treatment effects for multiple individuals. Two issues are considered: (1) differences in the estimated individual…
Abstract
Panel data provide the possibilities of estimating individual treatment effects for multiple individuals. Two issues are considered: (1) differences in the estimated individual treatment effects are due to heterogeneity or a chance mechanism? (2) what is the best way to estimate the average treatment effects? Testing and aggregation methods are suggested. Monte Carlo simulations are also conducted to shed light on these two issues. An empirical analysis on the involvement of underground organization in China’s Peer-to-Peer (P2P) activities through the “anti-gang” campaign is also provided.
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Qiankun Wang and Qiao Shi
Knowledge sharing is an important way to improve the knowledge system of industrial construction, and the supervision mechanism is an important way to improve the efficiency of…
Abstract
Purpose
Knowledge sharing is an important way to improve the knowledge system of industrial construction, and the supervision mechanism is an important way to improve the efficiency of knowledge sharing. However, some research works and practices indicate that the effects of applying the supervision mechanism are not obvious. Therefore, the purpose of this paper is to propose an incentive method of knowledge sharing based on the supervision mechanism for promoting knowledge sharing among member enterprises in the industrial construction supply chain.
Design/methodology/approach
A basic incentive model and an optimization model of knowledge sharing in the industrial construction supply chain based on the supervision mechanism were developed via the principal–agent theory. Weighted coefficients of explicit and implicit knowledge sharing were introduced into the basic model, while the supervision reward was added into the basic model of the optimization model. The effect of these two models was compared and analyzed via numerical simulation.
Findings
The optimal incentive coefficient and effort level of knowledge sharing can be obtained by solving the two aforementioned models. The results of the comparison between the two models indicate that the introduction of a supervisory reward improved the effort level and expected earnings produced by knowledge sharing, but reduced the confirmed equal earnings of member enterprises in the industrial construction supply chain.
Research limitations/implications
Mutual transformation between tacit and explicit knowledge was not considered, and supervisory costs were also not considered, in the estimation of the output of knowledge sharing.
Practical implications
The new models proposed by this study provide theoretical guidance for the design of knowledge sharing incentive measures in the industrial construction supply chain based on the supervision mechanism. The findings suggest that member enterprises should pay attention to the costs of knowledge sharing, in order to obtain more benefits.
Originality/value
This study introduced the weight coefficients of explicit and implicit knowledge sharing into a previous incentive model, proposed an incentive optimization model of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism, and revealed the change rules of related variables that affect the model with the change in weight coefficients. The findings verify the effectiveness of introducing supervisory reward measures and extend the range of theoretical application.
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Minglong Xu, Song Xue, Qionghua Wang, Shaoxiang He, Rui Deng, Zenong Li, Ying Zhang, Qiankun Li and Rongchao Li
This study aims to improve the stability and obstacle surmounting ability of the traditional wall-climbing robot on the surface of the ship, a wheel-track composite magnetic…
Abstract
Purpose
This study aims to improve the stability and obstacle surmounting ability of the traditional wall-climbing robot on the surface of the ship, a wheel-track composite magnetic adsorption wall-climbing robot is proposed in this paper.
Design/methodology/approach
The robot adopts a front and rear obstacle-crossing mechanism to achieve a smooth crossover. The robot is composed of two passive obstacle-crossing mechanisms and a frame, which is composed of two obstacle-crossing magnetic wheels and a set of tracks. The obstacle-crossing is realized by the telescopic expansion of the obstacle-crossing mechanism. Three static failure models are established to determine the minimum adsorption force for the robot to achieve stable motion. The Halbach array is used to construct the track magnetic circuit, and the influence of gap, contact area and magnet thickness on the adsorption force is analyzed by parameter simulation.
Findings
The prototype was designed and manufactured by the authors for static failure and obstacle crossing tests. The prototype test results show that the robot can cross the obstacle of 10 mm height under the condition of 20 kg load.
Originality/value
A new structure of wall-climbing robot is proposed and verified. According to the test results, the wall-climbing robot can stably climb over the obstacle of 10 mm height under the condition of 20 kg load, which provides a new idea for future robot design.
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Qiao Shi, Qiankun Wang and Zeng Guo
This paper aimed to examine the role of knowledge sharing among member enterprises between collaborative innovation activities and innovation performance and between building…
Abstract
Purpose
This paper aimed to examine the role of knowledge sharing among member enterprises between collaborative innovation activities and innovation performance and between building information modeling (BIM) application and innovation performance in the construction supply chain.
Design/methodology/approach
The structural equation model was used in this study. First, the hypothesis of the relationship between collaborative innovation activities, BIM application, knowledge sharing and innovation performance in the construction supply chain was proposed based on experience; then, the research data were collected by investigation; finally, this hypothesis was tested through data analysis.
Findings
(1) Collaborative innovation activities in the construction supply chain had a positive impact on explicit knowledge sharing, tacit knowledge sharing and innovation performance. (2) BIM application had a positive impact on explicit knowledge sharing and innovation performance, while it had no significant impact on tacit knowledge sharing. (3) Explicit knowledge sharing had no positive effect on innovation performance, while tacit knowledge sharing had positive effect on organizational performance. (4) Tacit knowledge sharing produced partial mediating effect between collaborative innovation activities, BIM application and innovation performance, while explicit knowledge sharing produced complete mediating effect between BIM application and tacit knowledge sharing.
Originality/value
A relationship model among collaborative innovation activities, BIM application, explicit and tacit knowledge sharing and innovation performance in the construction supply chain was proposed, and the rationality of the model was verified by empirical analysis. Discovering the relationships between these factors can be not only conducive to mastering the effect of explicit and tacit knowledge sharing in the collaborative innovation process of construction supply chain, but also play a guiding role for the function development of BIM.
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Yupei Liu, Weian Li and Qiankun Meng
This study aims to explore whether investors’ inattention is associated with firms’ environmental, social and governance (ESG) decoupling, which is defined as the misalignment…
Abstract
Purpose
This study aims to explore whether investors’ inattention is associated with firms’ environmental, social and governance (ESG) decoupling, which is defined as the misalignment between the implementation and incorporation of ESG policies.
Design/methodology/approach
Focusing on a sample of the components of ESG ratings for China Securities Index (CSI) 300 companies between 2017 and 2019, the authors test the relationship between firms’ ESG decoupling level and mutual fund investors’ distraction by applying exogenous shocks to their portfolios.
Findings
The results show that firms with distracted mutual fund investors engage in more external than internal ESG actions, leading to a high ESG decoupling level. Mutual fund investors use “threat of exit” rather than “voice” as a governance mechanism to influence corporate ESG decoupling. While external ESG actions mitigate stock price crash risk, internal ESG actions increase firm value; firms with a high ESG decoupling level suffer lower valuations.
Practical implications
This study has implications for increasing the congruence between firms’ external and internal ESG actions, thereby improving firms’ ESG performance and long-term economic outcomes.
Social implications
This paper helps policy-makers and regulators to reassess how ESG policies can be implemented to be consistent with organizations’ core business activities.
Originality/value
Contributing to prior studies of greenwashing and corporate social responsibility decoupling, this paper extends decoupling literature by revisiting ESG impacts in an integrated framework and explores the antecedents of corporate ESG decoupling from the perspective of institutional investor monitoring.
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Xin Huang, Ting Tang, Yu Ning Luo and Ren Wang
This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish…
Abstract
Purpose
This study aims to examine the impact of board characteristics on firm performance while also exploring the influential mechanisms that help Chinese listed companies establish effective boards of directors and strengthen their corporate governance mechanisms.
Design/methodology/approach
This paper uses machine learning methods to investigate the predictive ability of the board of directors' characteristics on firm performance based on the data from Chinese A-share listed companies on the Shanghai and Shenzhen stock exchanges in China during 2008–2021. This study further analyzes board characteristics with relatively strong predictive ability and their predictive models on firm performance.
Findings
The results show that nonlinear machine learning methods are more effective than traditional linear models in analyzing the impact of board characteristics on Chinese firm performance. Among the series characteristics of the board of directors, the contribution ratio in prediction from directors compensation, director shareholding ratio, the average age of directors and directors' educational level are significant, and these characteristics have a roughly nonlinear correlation to the prediction of firm performance; the improvement of the predictive ability of board characteristics on firm performance in state-owned enterprises in China performs better than that in private enterprises.
Practical implications
The findings of this study provide valuable suggestions for enriching the theory of board governance, strengthening board construction and optimizing the effectiveness of board governance. Furthermore, these impacts can serve as a valuable reference for board construction and selection, aiding in the rational selection of boards to establish an efficient and high-performing board of directors.
Originality/value
The study findings unequivocally demonstrate the superiority of nonlinear machine learning approaches over traditional linear models in examining the relationship between board characteristics and firm performance in China. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. Within the suite of board characteristics, director compensation, shareholding ratio, average age and educational level are particularly noteworthy, consistently demonstrating strong, nonlinear associations with firm performance. The study reveals that the predictive performance of board attributes is generally more robust for state-owned enterprises in China in comparison to their counterparts in the private sector.