Since the reform and opening‐up policy, the long‐term problem of loans became more and more serious when China's economy maintained rapid growth. The purpose of this paper is to…
Abstract
Purpose
Since the reform and opening‐up policy, the long‐term problem of loans became more and more serious when China's economy maintained rapid growth. The purpose of this paper is to explore the profound causes of the medium‐ and long‐term problem of loans and the relationship between it and economic growth.
Design/methodology/approach
Using panel data for 28 provinces and cities of China during 1994‐2005, this paper investigates the determinants on the maturity of bank credit using threshold panel data of Hansen. In addition, using dynamics panel data, this paper investigates the effects of the maturity structure of bank credit on economic growth.
Findings
The drop of bank industry concentration tends to increase the supply of long‐term loans. The raise of economic growth and the increase of industrialization degree promote the demand of long‐term loans, significantly. Furthermore, the threshold effects of inflation exist. When the initial inflation is lower than 3.9 percent, the raise of inflation can increase the supply of long‐term loans. When the initial inflation is higher than 3.9 percent, the raise of inflation can decrease the supply of long‐term loans. The increase in the supply of long‐term loans can promote the economic growth.
Originality/value
The paper has two innovations: first, when studying the determinants on the maturity of bank credit, using the threshold panel approach takes account of the nonlinear adjustment of inflation; second, including the maturity of bank credit into the realm of financial development studies the relationship between this and economic growth.
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Weiliang Zhang, Sifeng Liu, Junliang Du, Liangyan Tao and Wenjie Dong
The purpose of this study is to advance a novel evaluation index system and evaluation approach for ability of older adults in China.
Abstract
Purpose
The purpose of this study is to advance a novel evaluation index system and evaluation approach for ability of older adults in China.
Design/methodology/approach
This study constructed a comprehensive older adult ability evaluation index system with 4 primary indicators and 17 secondary indicators. Grey clustering analysis and entropy weight method are combined into a robust evaluation model for the ability of older adults.
Findings
The result demonstrates that the proposed grey clustering model is readily available to calculate the disability level of elderly individuals. The constructed index system more comprehensively considers all aspects of the disability of the elderly.
Originality/value
This study provides a quantitative method and a more reasonable index system for the determination of the disability level of the elderly.
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Shuai Yang, Wenjie Zhao, Yongzhen Ke, Jiaying Liu and Yongjiang Xue
Due to the inability to directly apply an intra-oral image with esthetic restoration to restore tooth shape in the computer-aided design system, this paper aims to propose a…
Abstract
Purpose
Due to the inability to directly apply an intra-oral image with esthetic restoration to restore tooth shape in the computer-aided design system, this paper aims to propose a method that can use two-dimensional contours obtained from the image for the three-dimensional dental mesh model restoration.
Design/methodology/approach
First, intra-oral image and smiling image are taken from the patient, then teeth shapes of the images are designed based on esthetic restoration concepts and the pixel coordinates of the teeth’s contours are converted into the vertex coordinates in the three-dimensional space. Second, the dental mesh model is divided into three parts – active part, passive part and fixed part – based on the teeth’s contours of the mesh model. Third, the vertices from the teeth’s contours of the dental model are matched with ones from the intra-oral image and with the help of matching operation, the target coordinates of each vertex in the active part can be calculated. Finally, the Laplacian-based deformation algorithm and mesh smoothing algorithm are performed.
Findings
Benefitting from the proposed method, the dental mesh model with esthetic restoration can be quickly obtained based on the intra-oral image that is the result of doctor-patient communication. Experimental results show that the quality of restoration meets clinical needs, and the typical time cost of the method is approximately one second. So the method is both time-saving and user-friendly.
Originality/value
The method provides the possibility to design personalized dental esthetic restoration solutions rapidly.
Details
Keywords
Mingli Hu and Wenjie Liu
As the grey systems theory has been widely used in the field of sustainable development (SD) research, in the following, a short literature overview will be put forward, starting…
Abstract
Purpose
As the grey systems theory has been widely used in the field of sustainable development (SD) research, in the following, a short literature overview will be put forward, starting from the usage of these theories in the economic development, social inclusion and environmental protection contributions to the evolving process of SD during 2011–2021. The purpose of this paper is to identify some key studies from all the SD areas in which the grey systems can be used in order to open and to bring the researchers to new domains in which they can reveal their interest and in which they can successfully use the methods offered by the grey systems theory.
Design/methodology/approach
Using the search engine offered by the Google Scholar and the Web of Science (WoS), a literature review has been performed for the grey systems applications on SD research on both grey relational analysis (GRA) and grey forecasting. In addition, some grey evaluation theories – clustering evaluation models and grey target decision models – have also been presented.
Findings
Many grey models are widely used in the field of SD. Compared with other methods such as grey prediction, grey evaluation and decision-making model, GRA technology is the most used method, and the research using this method is more than three times that of all other methods.
Research limitations/implications
The present paper identifies some of the most representative examples in which the grey system theory (GST) has been used, but, in the same time, there are a lot of studies that have not been mentioned here due to the lack of space.
Originality/value
The present paper focuses on the SD applications in which GST has been successfully used, bringing to the reader a general overview on this field and, in the same time, enables new research perspectives.
Details
Keywords
Yaming Zhang, Na Wang, Koura Yaya Hamadou, Yanyuan Su, Xiaoyu Guo and Wenjie Song
In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret…
Abstract
Purpose
In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret the multi-level emotion propagation in natural disaster events by analyzing information diffusion capacity and emotional guiding ability of super-spreaders in different levels of hierarchy.
Design/methodology/approach
We collected 47,042 original microblogs and 120,697 forwarding data on Weibo about the “7.20 Henan Rainstorm” event for empirical analysis. Emotion analysis and emotion network analysis were used to screen emotional information and identify super-spreaders. The number of followers is considered as the basis for classifying super-spreaders into five levels.
Findings
Official media and ordinary users can become the super-spreaders with different advantages, creating a new emotion propagation environment. The number of followers becomes a valid basis for classifying the hierarchy levels of super-spreaders. The higher the level of users, the easier they are to become super-spreaders. And there is a strong correlation between the hierarchy level of super-spreaders and their role in emotion propagation.
Originality/value
This study has important significance for understanding the mode of social emotion propagation and making decisions in maintaining social harmony.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0192.
Details
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Chi Zhang, Kun He, Wenjie Zhang, Ting Jin and Yibin Ao
To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are…
Abstract
Purpose
To further promote application of BIM technology in construction of prefabricated buildings, influencing factors and evolution laws of willingness to apply BIM technology are explored from the perspective of willingness of participants.
Design/methodology/approach
In this paper, a tripartite game model involving the design firm, component manufacturer and construction firm is constructed and a system dynamics method is used to explore the influencing factors and game evolution path of three parties' application of BIM technology, from three perspectives, cost, benefit and risk.
Findings
The government should formulate measures for promoting the application of BIM according to different BIM application willingness of the parties. When pursuing deeper BIM application, the design firm should pay attention to reducing the speculative benefits of the component manufacturer and the construction firm. The design firm and the component manufacturer should pay attention to balancing the cost and benefit of the design firm while enhancing collaborative efforts. When the component manufacturer and the construction firm cooperate closely, it is necessary to pay attention to balanced distribution of interests of both parties and lower the risk of BIM application.
Originality/value
This study fills a research gap by comprehensively investigating the influencing factors and game evolution paths of willingness of the three parties to apply BIM technology to prefabricated buildings. The research helps to effectively improve the building quality and construction efficiency, and is expected to contribute to the sustainability of built environment in the context of circular economy in China.
Details
Keywords
Zhanbo Zhao, Xiaomeng Du, Fan Liang and Xiaoming Zhu
Impulse buying has been the focus of attention in the marketing. With the rise of online shopping, online impulse buying phenomenon becomes increasingly serious. Whereas, the…
Abstract
Purpose
Impulse buying has been the focus of attention in the marketing. With the rise of online shopping, online impulse buying phenomenon becomes increasingly serious. Whereas, the impulse buying behavior in an online environment is rarely discussed in relevant literature. The purpose of this paper is to explore the impact of the type of product and time pressure on consumer online impulse buying intention; this is a relatively new issue of marketing academia in China.
Design/methodology/approach
In this paper, the experimental methodology was adopted to explore the impact of consumer online impulse buying tendencies, the departure from the type of product and the time pressure.
Findings
Results show that low-involvement feeling products stimulate consumer online impulse buying tendencies. Simultaneously, there is an interaction effect between time pressure and product type, which is, under the influence of time pressure, the enhancement of low-involvement feeling products on consumer online impulse buying tendency is more significant.
Originality/value
This study discusses the interaction between time pressure and product type on consumers’ online impulse buying tendency, which has not been studied before. While discussing the impact of product types on consumers’ impulse buying tendency on the internet, this paper considers the impact of time pressure on consumers’ impulsive buying tendency, and applies the term of time pressure, a psychological research term, to the field of marketing research, so as to make the cross-links between disciplines closer.
Details
Keywords
Huafei Wei, Jun Chen, Muhammad Adnan Zahid Chudhery and Wenjie Fang
The authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational…
Abstract
Purpose
The authors examined how the identification mechanism of the innovation performance of knowledge employees is affected by empowering leadership by influencing the organizational identification and the moderating effect of leaders on the role expectation of knowledge employees as an essential innovation subject.
Design/methodology/approach
The authors employed a mixed-method research approach. The authors collected data from 378 knowledge employees and managers in 20 companies in China's Yangtze River Delta cities. The authors analyzed data using multiple regression analysis forecasting methods.
Findings
The authors found that there was an inverted U-shaped relationship between empowering leadership and the innovation performance of knowledge employees; organizational identity played a partial mediating role between empowering leadership and the innovation performance of knowledge employees; role expectation of leaders on the innovation behavior of employees regulated the relationship between the organizational identity and innovation performance of knowledge employees.
Originality/value
This study extends the literature on empowering leadership and innovation performance. This study empirically examines the mediating effect of organizational identity between empowering leadership and innovation performance. In addition, this study empirically examines how empowered leaders' expected innovation level moderates the association between organizational identity and innovation performance.
Details
Keywords
Yifeng Zheng, Xianlong Zeng, Wenjie Zhang, Baoya Wei, Weishuo Ren and Depeng Qing
As intelligent technology advances, practical applications often involve data with multiple labels. Therefore, multi-label feature selection methods have attracted much attention…
Abstract
Purpose
As intelligent technology advances, practical applications often involve data with multiple labels. Therefore, multi-label feature selection methods have attracted much attention to extract valuable information. However, current methods tend to lack interpretability when evaluating the relationship between different types of variables without considering the potential causal relationship.
Design/methodology/approach
To address the above problems, we propose an ensemble causal feature selection method based on mutual information and group fusion strategy (CMIFS) for multi-label data. First, the causal relationship between labels and features is analyzed by local causal structure learning, respectively, to obtain a causal feature set. Second, we eliminate false positive features from the obtained feature set using mutual information to improve the feature subset reliability. Eventually, we employ a group fusion strategy to fuse the obtained feature subsets from multiple data sub-space to enhance the stability of the results.
Findings
Experimental comparisons are performed on six datasets to validate that our proposal can enhance the interpretation and robustness of the model compared with other methods in different metrics. Furthermore, the statistical analyses further validate the effectiveness of our approach.
Originality/value
The present study makes a noteworthy contribution to proposing a causal feature selection approach based on mutual information to obtain an approximate optimal feature subset for multi-label data. Additionally, our proposal adopts the group fusion strategy to guarantee the robustness of the obtained feature subset.
Details
Keywords
Wenjie Li, Idrees Waris and Muhammad Yaseen Bhutto
The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of…
Abstract
Purpose
The current study examines the impact of big data analytics capabilities (BDAC) on supply chain performances of the manufacturing firms. Based on the underpinning of resource-based view (RBV) theory, the current study will highlight the significance of BDAC on green dynamic capabilities (GDC), supply chain agility (SCA) and green competitive advantage (GCA). Furthermore, the study examines the moderating effect of supply chain innovativeness (SCI) on the relationship between GCA and firm performance (FP).
Design/methodology/approach
Online survey method was employed for the data collection from the 331 managers employed in Pakistan Stock Exchange (PSX)-listed manufacturing firms. The hypothesized model was tested using partial least squares structural equation modeling (PLS-SEM) technique.
Findings
The study results indicate that BDAC has a positive influence on both GDC and SCA, leading to enhanced GCA. Furthermore, the results demonstrate that GCA significantly and positively impacts FP, and the relationship between them is positively moderated by SCI.
Originality/value
This study developed a novel theoretical perspective based on RBV theory and provided empirical evidence that manufacturing firms' performances are significantly influenced by BDAC, GDC and SCA. The study results provide valuable practical implications top management regarding the effectiveness of BDAC and SCA in the supply chain. The findings further highlight the significance of SCI strengthening relationship between GCA and FP.