To describe recent regulatory developments in China on digital renminbi (RMB), initial coin offerings (ICOs), cryptocurrency holdings, cryptocurrency exchanges and blockchain…
Abstract
Purpose
To describe recent regulatory developments in China on digital renminbi (RMB), initial coin offerings (ICOs), cryptocurrency holdings, cryptocurrency exchanges and blockchain technology.
Design/methodology/approach
Describes a digital RMB pilot program, seven government agencies’ bans on ICOs and cryptocurrency exchanges, the legality of holding and trading cryptocurrencies in China and the government’s endorsement of blockchain technology.
Findings
No PRC law or regulation prohibits Chinese investors from holding or trading cryptocurrencies but Bitcoin is defined as a virtual commodity, not a currency. Despite a ban on ICOs and cryptocurrency exchanges, the People’s Bank of China (PBOC) and other government agencies endorse blockchain technology as long as its goal is to service the real economy.
Originality/value
Expert guidance from lawyer with experience in foreign investment, cross-border mergers and acquisitions, capital markets, fund formation and venture capital and private equity investments in China.
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Wenhao Luo and Maona Mu
The purpose of the research is to examine the impact of leader humor on employee job crafting. Using the insights from self-determination theory (SDT), we investigate the…
Abstract
Purpose
The purpose of the research is to examine the impact of leader humor on employee job crafting. Using the insights from self-determination theory (SDT), we investigate the underlying mechanism of employees’ flow at work and the moderating role of employees’ playfulness trait.
Design/methodology/approach
We adopted a three-wave field survey of 306 employees recruited from various industries. The moderated mediation model was examined using latent structural equation model analysis.
Findings
Results revealed that leader humor positively affected employees’ flow at work and subsequent job crafting. Moreover, both the direct effect of leader humor on employees’ flow at work and the indirect effect of leader humor on employees’ job crafting via flow at work were amplified by employees’ playfulness trait.
Practical implications
Leaders are encouraged to use jokes and humorous language to facilitate job crafting among playful subordinates. Organizations can create a work environment conducive to flow at work through job redesign, regardless of employees’ levels of playfulness trait.
Originality/value
The paper uncovers the critical role of flow in the relationship between leader humor and employee job crafting and identifies employees’ playfulness trait as a boundary condition in which leader humor works.
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Guangrun Sheng, Xixiang Liu, Zixuan Wang, Wenhao Pu, Xiaoqiang Wu and Xiaoshuang Ma
This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the…
Abstract
Purpose
This paper aims to present a novel transfer alignment method based on combined double-time observations with velocity and attitude for ships’ poor maneuverability to address the system errors introduced by flexural deformation and installing which are difficult to calibrate.
Design/methodology/approach
Based on velocity and attitude matching, redesigning and deducing Kalman filter model by combining double-time observation. By introducing the sampling of the previous update cycle of the strapdown inertial navigation system (SINS), current observation subtracts previous observation are used as measurements for transfer alignment filter, system error in measurement introduced by deformation and installing can be effectively removed.
Findings
The results of simulations and turntable tests show that when there is a system error, the proposed method can improve alignment accuracy, shorten the alignment process and not require any active maneuvers or additional sensor equipment.
Originality/value
Calibrating those deformations and installing errors during transfer alignment need special maneuvers along different axes, which is difficult to fulfill for ships’ poor maneuverability. Without additional sensor equipment and active maneuvers, the system errors in attitude measurement can be eliminated by the proposed algorithms, meanwhile improving the accuracy of the shipboard SINS transfer alignment.
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Yanqiu Xia, Wenhao Chen, Yi Zhang, Kuo Yang and Hongtao Yang
The purpose of this study is to investigate the effectiveness of a composite lubrication system combining polytetrafluoroethylene (PTFE) film and oil lubrication in steel–steel…
Abstract
Purpose
The purpose of this study is to investigate the effectiveness of a composite lubrication system combining polytetrafluoroethylene (PTFE) film and oil lubrication in steel–steel friction pairs.
Design/methodology/approach
A PTFE layer was sintered on the surface of a steel disk, and a lubricant with additives was applied to the surface of the steel disk. A friction and wear tester was used to evaluate the tribological properties and insulation capacity. Fourier transform infrared spectrometer was used to analyze the changes in the composition of the lubricant, and X-ray photoelectron spectroscopy was used to analyze the chemical composition of the worn surface.
Findings
It was found that incorporating the PTFE film with PSAIL 2280 significantly enhanced both the friction reduction and insulation capabilities at the electrical contact interface during sliding. The system consistently achieved ultra-low friction coefficients (COF < 0.01) under loads of 2–4 N and elucidated the underlying lubrication mechanisms.
Originality/value
This work not only confirm the potential of PTFE films in insulating electrical contact lubrication but also offer a viable approach for maintaining efficient and stable low-friction wear conditions.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0222/
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Wenhao Zhou, Hailin Li, Hufeng Li, Liping Zhang and Weibin Lin
Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to…
Abstract
Purpose
Given the regional heterogeneity of economic development, electricity consumption in various regions exhibits a discrepant growth pattern. The purpose of this study is to construct a grey system forecasting model with intelligent parameters for predicting provincial electricity consumption in China.
Design/methodology/approach
First, parameter optimization and structural expansion are simultaneously integrated into a unified grey system prediction framework, enhancing its adaptive capabilities. Second, by setting the minimum simulation percentage error as the optimization goal, the authors apply the particle swarm optimization (PSO) algorithm to search for the optimal grey generation order and background value coefficient. Third, to assess the performance across diverse power consumption systems, the authors use two electricity consumption cases and select eight other benchmark models to analyze the simulation and prediction errors. Further, the authors conduct simulations and trend predictions using data from all 31 provinces in China, analyzing and predicting the development trends in electricity consumption for each province from 2021 to 2026.
Findings
The study identifies significant heterogeneity in the development trends of electricity consumption systems among diverse provinces in China. The grey prediction model, optimized with multiple intelligent parameters, demonstrates superior adaptability and dynamic adjustment capabilities compared to traditional fixed-parameter models. Outperforming benchmark models across various evaluation indicators such as root mean square error (RMSE), average percentage error and Theil’s index, the new model establishes its robustness in predicting electricity system behavior.
Originality/value
Acknowledging the limitations of traditional grey prediction models in capturing diverse growth patterns under fixed-generation orders, single structures and unadjustable background values, this study proposes a fractional grey intelligent prediction model with multiple parameter optimization. By incorporating multiple parameter optimizations and structure expansion, it substantiates the model’s superiority in forecasting provincial electricity consumption.
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Wenhao Song, Hongyan Yu and Hui Xu
Green human resource management (GHRM) is critical to enhancing the ability of the companies' green innovation, but this link is rarely explored or empirically tested in the…
Abstract
Purpose
Green human resource management (GHRM) is critical to enhancing the ability of the companies' green innovation, but this link is rarely explored or empirically tested in the literature. Drawing upon human capital theory, the study examines a conceptual model that incorporates the effects of green human capital and management environment concern.
Design/methodology/approach
Data were collected from 143 firms in China, and the regression analysis and bootstrapping test were used to assess the hypothesis.
Findings
Our findings indicate that GHRM can positively influence green innovation, and green human capital mediated the link between GHRM and green innovation. In addition, management environment concern moderates the effect of GHRM on green human capital. The results further explore that the indirect effect of GHRM on green innovation through green human capital is significant for the firms with a high management environment concern, but not for this relationship with a low management environment concern.
Originality/value
The findings further extend the scope of GHRM research, and theoretical and practical implications of GHRM are presented to enhance environment sustainability.
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Wenhao Wang, Rujing Shi, Wei Zhang, Haibin Sun, Xiaolu Ge and Chengfeng Li
The purpose of this paper is to improve the generation efficiency of singlet oxygen of methylene blue molecules through finely controlling their aggregation states in drug…
Abstract
Purpose
The purpose of this paper is to improve the generation efficiency of singlet oxygen of methylene blue molecules through finely controlling their aggregation states in drug carriers.
Design/methodology/approach
As a photosensitiser in photodynamic therapy, methylene blue (MB) was loaded on citrate-modified hydroxyapatite (HAp) through an electrostatic interaction and followed by encapsulation of coordination complexes of tannic acid (TA) and Fe(III) ions. Ultraviolet-visible absorption spectrum of the supernatant after incubation of samples was recorded at certain time interval to investigate the release behaviour of MB. Photodynamic activity of MB was determined by the oxidation reaction of uric acid by singlet oxygen generated by MB under illumination.
Findings
Almost all MB molecules were immediately released from HAp-MB, whilst an initial burst release of MB from HAp-MB@TA was followed by a sustainable and pH-sensitised release. In comparison with HAp-MB, photocatalystic reduction of HAp-MB@TA by titanium dioxide hardly occurred under illumination, indicating the stability against reduction to leukomethylene blue in vitro. Generation efficiency of singlet oxygen by MB released from HAp-MB@TA was significantly higher than that from HAp-MB because of the control of TA and Fe(III) ions complexes on molecular structures of released MB.
Originality/value
A facile method was herein demonstrated to optimise the generation efficiency of singlet oxygen by controlling aggregation states of PS molecules and improve PDT efficiency to damage tumour tissues.
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Daxin Tian, Weiqiang Gong, Wenhao Liu, Xuting Duan, Yukai Zhu, Chao Liu and Xin Li
This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the…
Abstract
Purpose
This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the applications of intelligent computing in vehicular networks. From this paper, the role of intelligent algorithm in the field of transportation and the vehicular networks can be understood.
Design/methodology/approach
In this paper, the authors introduce three different methods in three layers of vehicle networking, which are data cleaning based on machine learning, routing algorithm based on epidemic model and cooperative localization algorithm based on the connect vehicles.
Findings
In Section 2, a novel classification-based framework is proposed to efficiently assess the data quality and screen out the abnormal vehicles in database. In Section 3, the authors can find when traffic conditions varied from free flow to congestion, the number of message copies increased dramatically and the reachability also improved. The error of vehicle positioning is reduced by 35.39% based on the CV-IMM-EKF in Section 4. Finally, it can be concluded that the intelligent computing in the vehicle network system is effective, and it will improve the development of the car networking system.
Originality/value
This paper reviews the research of intelligent algorithms in three related areas of vehicle networking. In the field of vehicle networking, these research results are conducive to promoting data processing and algorithm optimization, and it may lay the foundation for the new methods.
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Anaile Rabelo, Marcos W. Rodrigues, Cristiane Nobre, Seiji Isotani and Luis Zárate
The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.
Abstract
Purpose
The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.
Design/methodology/approach
This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.
Findings
From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.
Originality/value
This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.