Muhammad Khalid Anser, Zahid Yousaf, Muhammad Sharif, Wang Yijun, Abdul Majid and Muhammad Yasir
This study aims to investigate the relationship between employee polychronicity and employee creativity. This study also explores the mediating role of employee resilience in the…
Abstract
Purpose
This study aims to investigate the relationship between employee polychronicity and employee creativity. This study also explores the mediating role of employee resilience in the relationship between employee polychronicity and employee creativity.
Design/methodology/approach
This study was based on a quantitative research design, and a survey instrument was used to collect data from doctors and nurses. Ordinary least squares (OLS) regression and four-step Baron and Kenney (1986) approaches were used to check the impact of nurses’ polychronicity on creativity through resilience.
Findings
Results proved that employee polychronicity positively influences employee creativity. The finding indicates that employee resilience acts as a mediator in the relationship between employee polychronicity and employee creativity.
Originality/value
The worth of this study rests on the deeper understanding of the employee polychronicity–employee creativity link in the health-care sector. Moreover, by bringing to the fore employee resilience as a mediator of the polychronicity–creativity relationship, this study provided a new vantage point to explore the intricacies concerned with the relationships between polychronicity, resilience and creativity.
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Xiaoguang Wang, Yijun Gao and Zhuoyao Lu
Microblogs are communication platforms for companies and consumers that challenge companies' brand marketing strategies. This paper provides a theoretical basis for expanding…
Abstract
Purpose
Microblogs are communication platforms for companies and consumers that challenge companies' brand marketing strategies. This paper provides a theoretical basis for expanding microblog applications and a practical basis for improving the effectiveness of brand marketing.
Design/methodology/approach
The authors use factor analysis to extract the factors of microblog user influence and construct a structural equation model to reveal the interaction mechanism of the influencing factors. Additionally, the authors clarify the promotion and enhancement effects of these factors.
Findings
Microblog user influence can be converted into richness, interaction and value factors. The richness factor significantly affects the latter two, whereas the interaction factor does not affect the value factor.
Research limitations/implications
First, the sample used is limited to media industry practitioners. To increase generalizability, diverse groups should be included in future studies. Second, this model's theoretical explanatory ability can be further developed by adding other meaningful factors beyond the existing ones.
Originality/value
This study analyzes the factors of microblog user influence in China and validates the relevant elements. As a result, it improves the influence research on social media users and benefits the practice of information recommendation and microblog marketing.
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Yijun Hou, Dongdong Wang and Guoqi Dong
The purpose of this paper is to take the early Permian no.6 coal seam in Jungar coalfield of North China as an example, this paper studied the net primary productivity (NPP) level…
Abstract
Purpose
The purpose of this paper is to take the early Permian no.6 coal seam in Jungar coalfield of North China as an example, this paper studied the net primary productivity (NPP) level of the early Permian peatland and its relationship with the atmospheric environment at that time, analyzed the influence of the atmospheric environment, and discussed its control factors.
Design/methodology/approach
First, geophysical logging signals were used for a spectrum analysis to obtain the Milankovitch cycle parameters in the no. 6 coal seam, including the eccentricity (95 ka); obliquity (35.6 ka); and precession (21.2 ka). These were then used to calculate the accumulation rate of the residual carbon in the no. 6 coal seam, which was determined to be between 49.44 and 50.57 gC/(m2 · a). The carbon loss could be calculated according to the density and residual carbon content of the no. 6 coal seam. Then, the total carbon accumulation rate of the peatland was further derived as being between 64.91 and 66.40 gC/(m2 · a). Also, the NPP of the peatland was determined to be between 129.82 and 132.8 gC/(m2 · a).
Finding
The result showed that the NPP of the early Permian peatland area was lower than that of the Holocene at the same latitude, and also lower than that of the later Permian of South China.
Originality/value
This study’s comprehensive analysis indicated that the temperature and humidity conditions, along with the oxygen and carbon dioxide levels in the atmosphere, were the main control factors of the NPP of the early Permian peatland. Also, wildfires were found to play a role.
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Ting Ren, Nan Liu, Hongyan Yang, Youzhi Xiao and Yijun Hu
The purpose of this paper is to examine the relationship between working capital management (WCM) and firm performance in the context of the Chinese economy. Specifically, it…
Abstract
Purpose
The purpose of this paper is to examine the relationship between working capital management (WCM) and firm performance in the context of the Chinese economy. Specifically, it investigates the effects of ownership structures as an internal factor and of institutional environments (IE) as an external factor shaping this relationship.
Design/methodology/approach
The study applies two-way fixed effect regression models to a sample of Chinese listed manufacturing firms for the period of 2010 to 2017. WCM is measured by cash conversion cycles (CCC); profitability is measured by core profit ratios; ownership structures are classified based on state-owned enterprises (SOEs) and non-SOEs; and IEs are measured from dimensions of factor markets (FM) and legal systems (LS).
Findings
First, the results show a negative relationship between CCC and firm performance. Second, the negative relationship between CCC and profitability is significant for non-SOEs but not for SOEs. Third, both the FM and LS strengthen the negative association between CCC and profitability. Fourth, the moderating effect of FMs and LSs is evident for non-SOEs only. The results hold when using alternative measures of WCM and profitability and while controlling for additional variables.
Originality/value
The current study shows that while WCM has a significant effect on the profitability of Chinese firms, such an effect greatly depends on the ownership structures and IE involved. The results thus offer important implications in helping the Chinese government create better IEs and in allowing manufacturing firms to improve upon their WCM practices.
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Wujian Ye, Hao Huang, Boning Zhang, Yijun Liu and Ziqi Lin
Most existing methods for concrete crack detection are based on deep learning techniques such as convolutional neural networks. However, these models, due to their large memory…
Abstract
Purpose
Most existing methods for concrete crack detection are based on deep learning techniques such as convolutional neural networks. However, these models, due to their large memory footprint, high power consumption and insufficient feature extraction capabilities, face challenges in mobile applications. To address these issues, this paper proposes a lightweight spiking neural network detection model.
Design/methodology/approach
This model achieves fast and accurate crack detection. Firstly, the Gabor-Spiking (GS) module preprocesses input images, extracting texture features and edge features of crack images through Gabor filter convolution modules and spiking convolution modules, respectively. Next, the multiscale residual (MR) module is designed, composed of convolutional layers and residual modules of various scales, to process the fused features and perform crack detection.
Findings
Experimental results demonstrate that the model’s size can be reduced to 4.6 MB, achieving accuracy improvements to 87.3 and 96.4% on the SDNET and OCD datasets, respectively.
Originality/value
This paper proposes a lightweight spiking neural network detection model based on the GS module for edge texture feature fusion and the MR module for crack detection.
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Philip Davies, Yipeng Liu, Maggie Cooper and Yijun Xing
Recent research has recognised the importance of supply chains and ecosystems as key drivers of successful servitization strategies, especially in the context of…
Abstract
Purpose
Recent research has recognised the importance of supply chains and ecosystems as key drivers of successful servitization strategies, especially in the context of inter-organisational relations (IOR). The body of knowledge has, however, become increasingly fragmented and diverse due to different disciplinary roots of both servitization and IOR research. The purpose of this paper is to take stock of current knowledge and to generate a set of future research directions for servitization-related supply chain and ecosystem research.
Design/methodology/approach
A systematic review methodology was applied. A thematic analysis was conducted on a sample of 34 papers in the period 2010–2021 to identify the key themes within the servitization-related supply chain and ecosystem literature.
Findings
The review revealed a limited, but expanding, knowledge base for servitization-related supply chain and ecosystem research. The findings provide insight into current trends across four thematic areas: theoretical orientation, methodological approaches, research context and research content. Within these themes, it was found that four main areas of research content have been studied (supplier relationships, risk perception and uncertainty, capability development and resource integration), with most research adopting case-based methodologies within three main industrial contexts: manufacturing, industrial and software. Finally, a broad range of theoretical orientations have led to an increasingly fragmented and diverse literature base.
Originality/value
This study is the first to review servitization-related supply chains and ecosystems. It contributes insights through an IOR lens to categorise and organise a core set of themes and concepts for servitization-related supply chain and ecosystems research. It identifies research gaps within the extant literature and presents a set of future research directions.
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Daifeng Zhang, Haibin Duan and Yijun Yang
The purpose of this paper is to propose a control approach for small unmanned helicopters, and a novel swarm intelligence algorithm is used to optimize the parameters of the…
Abstract
Purpose
The purpose of this paper is to propose a control approach for small unmanned helicopters, and a novel swarm intelligence algorithm is used to optimize the parameters of the proposed controller.
Design/methodology/approach
Small unmanned helicopters have many advantages over other unmanned aerial vehicles. However, the manual operation process is difficult because the model is always instable and coupling. In this paper, a novel optimized active disturbance rejection control (ADRC) approach is presented for small unmanned helicopters. First, a linear attitude model is built in hovering condition according to small perturbation linearization. To realize decoupling, this model is divided into two parts, and each part is equipped with an ADRC controller. Finally, a novel Levy flight-based pigeon-inspired optimization (LFPIO) algorithm is developed to find the optimal ADRC parameters and enhance the performance of controller.
Findings
This paper applies ADRC method to the attitude control of small unmanned helicopters so that it can be implemented in practical flight under complex environments. Besides, a novel LFPIO algorithm is proposed to optimize the parameters of ADRC and is proved to be more efficient than other homogenous methods.
Research limitations/implications
The model of proposed controller is built in the hovering action, whereas it cannot be used in other flight modes.
Practical implications
The optimized ADRC method can be implemented in actual flight, and the proposed LFPIO algorithm can be developed in other practical optimization problems.
Originality/value
ADRC method can enhance the response and robustness of unmanned helicopters which make it valuable in actual environments. The proposed LFPIO algorithm is proved to be an effective swarm intelligence optimizer, and it is convenient and valuable to apply it in other optimized systems.
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Yijun Yuan, Yanying Chen and Lili Wang
The purpose of this paper is research the relationship between size of government and FDI inflows of the host country, and provide a strategies.
Abstract
Purpose
The purpose of this paper is research the relationship between size of government and FDI inflows of the host country, and provide a strategies.
Design/methodology/approach
Adopting the fixed effect model of panel data, this paper uses related observations from 81 countries between 2002 and 2006 to analyze the impacts of government size (measured by score of government size) on FDI inflows.
Findings
The results show that the enlargement of government size has a positive effect on FDI inflows, and the effect is much more significant in developing countries.
Originality/value
There is no previous research concerning the impacts of size of government on FDI inflows. Through the investigation, the paper finds the relation between government size and FDI inflows and provides much valuable information.
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Yijie Zhang, Ziyi Guo, Jiangang Wei and Yijun Li
The aim of this paper is to achieve a reasonable microclimate between clothing and the human body and optimize the custom dress pattern.
Abstract
Purpose
The aim of this paper is to achieve a reasonable microclimate between clothing and the human body and optimize the custom dress pattern.
Design/methodology/approach
An interactive design method of 3D modeling, virtual try-on and heat transfer simulation are used. First, a 3D dress is designed with nonuniform rational B-splines curves and tried on virtually. After that, the heat transfer in the body-air-clothing microclimate and temperature distributions on the clothing surface are obtained. Based on the heat transfer in the body-air-clothing system, we design a method to improve the thermal comfort by optimizing the garment pattern digitally. Then, this paper utilized two heat transfer validating indexes to quantify the improvement of thermal comfort, and evaluate the modified model of dress.
Findings
The microclimate under the clothing is varied with the air gap distance, and the heat transfer on the area of the clavicle, bust point and front abandon are higher than other parts due to the narrow air gaps. In view of thermal comfort, the pattern optimization changes the distance ease and reforms the air circulating efficiency. The mean heat transfer and its standard variance are changing by about 10% and more than 20%. Thus, the heat transfer evaluation indexes are suitable to represent the heat transfer and thermal comfort in the microclimate system.
Research limitations/implications
It can be concluded that the methodology proposed in this paper has the advantage of interactive design, 3D visualization and local heat transfer simulation. This technology meets the need of personalized customization and well-considered garment and has broad application prospects.
Originality/value
This study demonstrates that modifying the distance ease on body key girths based on heat transfer is a reliable way to improve thermal comfort. This method meets the consumers’ demand of the comfort of body-fit clothing under the condition of daily activities.
Highlights
3D air gap distributions.
Heat transfer varies with air gap distance.
Thermal comfort can be improved by optimizing garment pattern.
3D air gap distributions.
Heat transfer varies with air gap distance.
Thermal comfort can be improved by optimizing garment pattern.