Zhifei Yang, Zhiye Du, Jiangjun Ruan, Shuo Jin, Guodong Huang, Qixiang Lian and Yifan Liao
The purpose of this paper is numerical calculation of total electric field in oil-paper insulation. Now, there is no effective method to consider the influence of space charges…
Abstract
Purpose
The purpose of this paper is numerical calculation of total electric field in oil-paper insulation. Now, there is no effective method to consider the influence of space charges when calculating the total electric field distribution in the main insulation system of the valve-side winding of an ultra-high-voltage direct current converter transformer.
Design/methodology/approach
To calculate the total electric field in an oil-paper insulation system, a new simulation method in single-layer oil-paper insulation based on the transient upstream finite element method (TUFEM) is proposed, in which the time variable is considered. The TUFEM is used to calculate the total electric field in an oil-paper insulation system by considering the move law of space charges. The simulation method is verified by comparing the simulation results to the test data. The move law of space charges and distribution characteristics of the electric field under difference voltage values in single-layer oil-paper insulation were presented.
Findings
The results show that the TUFEM has an excellent accuracy compared with the test data. When carrier mobility is a constant, the time to reach the steady state is inversely correlated with the initial electric field intensity, and the distortion rate of the internal total electric field is positively correlated with the initial electric field intensity.
Originality/value
This paper provides an exploratory research on the simulation of space charge transport phenomenon in oil-paper and has guiding significance to the design of oil-paper insulation.
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Jaclyn Koopmann, Mo Wang, Yihao Liu and Yifan Song
In this chapter, we summarize and build on the current state of the customer mistreatment literature in an effort to further future research on this topic. First, we detail the…
Abstract
In this chapter, we summarize and build on the current state of the customer mistreatment literature in an effort to further future research on this topic. First, we detail the four primary conceptualizations of customer mistreatment. Second, we present a multilevel model of customer mistreatment, which distinguishes between the unfolding processes at the individual employee level and the service encounter level. In particular, we consider the antecedents and outcomes unique to each level of analysis as well as mediators and moderators. Finally, we discuss important methodological concerns and recommendations for future research.
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This paper seeks to answer two questions: (1) where do a country's entrepreneurship policies come from? (2) How do they evolve and shape entrepreneurial activities?
Abstract
Purpose
This paper seeks to answer two questions: (1) where do a country's entrepreneurship policies come from? (2) How do they evolve and shape entrepreneurial activities?
Design/methodology/approach
Drawing upon the comparative political economy literature and the institutional perspective, this paper proposes a theoretical model of the origin and evolution of entrepreneurship policies. We use China as a case study to apply the theoretical model and demonstrate the evolution of entrepreneurship policies in three stages during the period 1978 to 2012.
Findings
The case analysis of China provides evidence and support for our theoretical model and unpacks the process by which entrepreneurship policies originate and evolve as the result of the interplay among constantly changing policymaking, production, and knowledge regimes.
Research limitations/implications
Because of the research context, findings may lack generalisability. Additional studies on policymaking and production regimes of different kinds and their respective roles in shaping entrepreneurship policies are encouraged to further advance this line of research.
Practical implications
This paper offers important implications concerning entrepreneurship policy and activities for policymakers, practitioners and other stakeholders in emerging economies.
Originality/value
Our study fills a gap in the entrepreneurship literature by expanding scholarly understanding of the origin and evolution of entrepreneurship policies.
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Feifei Zhao and Yifan Zha
In the era of the digital economy, digital platform capability plays an important role in the process of firm digitization. This study aims to investigate the relationships among…
Abstract
Purpose
In the era of the digital economy, digital platform capability plays an important role in the process of firm digitization. This study aims to investigate the relationships among digital platform capability and innovation performance from the perspective of external knowledge search and resource bricolage.
Design/methodology/approach
This study uses the hierarchical regression and bootstrapping methods to test the theoretical framework and research hypotheses. The survey data were collected from 629 Chinese firms.
Findings
This study finds that digital platform capability has a significant positive effect on innovation performance; external knowledge search and resource bricolage both play partial mediating roles between digital platform capability and innovation performance. There exist the serial mediation effects of “digital platform capability – external knowledge search – resource bricolage – innovation performance”.
Originality/value
The conclusion of this study can expand the research on digital platform capability, reveal the internal mechanism of digital platform capability in firm innovation and provide ideas and inspiration for firms to improve innovation performance and realise high-quality development.
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Rabail Tariq, Yifan Wang and Khawaja Fawad Latif
This paper is drawn on resource-based theory (RBV), dynamic capability theory (DCV) and situational strength theory (SST). It aims to investigate the relationship of…
Abstract
Purpose
This paper is drawn on resource-based theory (RBV), dynamic capability theory (DCV) and situational strength theory (SST). It aims to investigate the relationship of entrepreneurial leadership (EL) on project success (PS) through the mediating role of dynamic capabilities (DCs), big data analytic capability (BDAC) and sustainable resilience (SR). It also explores the moderating effect of knowledge sabotage behaviour (KSB) on the relationship of BDAC and SR with PS.
Design/methodology/approach
Data was collected via Questionnaire survey through convenience sampling from the sample of 550 employees working on project in software companies. Of these, 467 response was deemed valid for analysis. The data was analysed using structural equation modelling (SEM) with SMART-PLS tool.
Findings
The study revealed a significant impact of EL on PS (p < 0.05). It also confirmed the significant mediating role of BDAC and SR (p < 0.05) in EL and PS relationship. These findings emphasize that adapting an entrepreneurial leadership style provides an environment conducive to achieving project success. Moreover, the presence of DCs like BDAC and SR enhances the organization adaptability, efficiency and firms’ endurance to disruption and strengthens their ability to navigate challenges and drive firm outcomes.
Originality/value
The research provides valuable insight into the role of EL as a contemporary leadership style in project-based firms that are marked by high risk and uncertainty. Also, this research is the first to examine the role of DCs, i.e. BDAC and SR as essential support in the execution of a project. Moreover, the research also highlights the importance of the effective role of DCs in achieving PS by mitigating the moderating influence of KSB. Thus, these DCs are empirically proven to facilitate EL in-driving project success in volatile environment while avoiding counterproductive work behaviour.
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Yifan Wang, Ryuichi Tani and Kenetsu Uchida
In the field of engineering, the fractional moments of random variables play a crucial role and are widely utilized. They are applied in various areas such as structural…
Abstract
Purpose
In the field of engineering, the fractional moments of random variables play a crucial role and are widely utilized. They are applied in various areas such as structural reliability assessment and analysis, studying the response characteristics of random vibration systems and optimizing signal processing and control systems. This study focuses on calculating the fractional moments of positive random variables encountered in engineering. This study focuses on calculating the fractional moments of positive random variables encountered in engineering.
Design/methodology/approach
By integrating Laplace transforms with fractional derivatives, both analytical and practical numerical solutions are derived. Furthermore, specific practical application methods are provided.
Findings
This approach allows for the stable and highly accurate calculation of fractional moments based on the integer moments of random variables. Data experiments included in this study demonstrate the effectiveness of this method in solving fractional moment calculations in engineering. Compared to traditional methods, the proposed method offers significant advantages in stability and accuracy, which can further advance research in the engineering field that employs fractional moments.
Originality/value
(1) Accuracy: Although the proposed method does involve some error, its error level is significantly lower than traditional methods, such as the Taylor expansion method. (2) Stability: The computational error of the proposed method is not only minimal but also remains stable within a narrow range as the fractional order varies. (3) Efficiency: Compared to the widely used Taylor expansion method, the proposed method requires only a minimal number of integer-order moments to achieve the desired results. Additionally, it avoids convergence issues during computation, greatly reducing computational resource requirements. (4) Simplicity: The application steps of the proposed method are very straightforward, offering significant advantages in practical applications.
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Qingfeng Meng, Yifan Zhang, Zhen Li, Weixiang Shi, Jun Wang, Yanhui Sun, Li Xu and Xiangyu Wang
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Abstract
Purpose
The purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.
Design/methodology/approach
Using quantitative and qualitative bibliometric statistical methods, the current mode of interaction between BIM and other related technologies is summarized.
Findings
This paper identified 24 different BIM applications in the life cycle. From two perspectives, the implementation status of BIM applications and integrated technologies are respectively studied. The future industry development framework is drawn comprehensively. We summarized the challenges of BIM applications from the perspectives of management, technology and promotion, and confirmed that most of the challenges come from the two driving factors of promotion and management.
Research limitations/implications
The technical challenges reviewed in this paper are from the collected literature we have extracted, which is only a part of the practical challenges and not comprehensive enough.
Practical implications
We summarized the current mode of interactive use of BIM and sorted out the challenges faced by BIM applications to provide reference for the risks and challenges faced by the future industry.
Originality/value
There is little literature to integrate BIM applications and to establish BIM related challenges and risk frameworks. In this paper, we provide a review of the current implementation level of BIM and the risks and challenges of stakeholders through three aspects of management, technology and promotion.
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Bingjun Li, Shuhua Zhang, Wenyan Li and Yifan Zhang
Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the…
Abstract
Purpose
Grey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.
Design/methodology/approach
Based on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.
Findings
The results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.
Originality/value
By analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.
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Yiming Li, Xukan Xu, Muhammad Riaz and Yifan Su
This study aims to use geographical information on social media for public opinion risk identification during a crisis.
Abstract
Purpose
This study aims to use geographical information on social media for public opinion risk identification during a crisis.
Design/methodology/approach
This study constructs a double-layer network that associates the online public opinion with geographical information. In the double-layer network, Gaussian process regression is used to train the prediction model for geographical locations. Second, cross-space information flow is described using local government data availability and regional internet development indicators. Finally, the structural characteristics and information flow of the double-layer network are explored to capture public opinion risks in a fine-grained manner. This study used the early stages of the COVID-19 outbreak for validation analyses, and it collected more than 90,000 pieces of public opinion data from microblogs.
Findings
In the early stages of the COVID-19 outbreak, the double-layer network exhibited a radiating state, and the information dissemination was more dependent on the nodes with higher in-degree. Moreover, the double-layer network structure showed geographical differences. The risk contagion was more significant in areas where information flow was prominent, but the influence of nodes was reduced.
Originality/value
Public opinion risk identification that incorporates geographical scenarios contributes to enhanced situational awareness. This study not only effectively extends geographical information on social media, but also provides valuable insights for accurately responding to public opinion.
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Chunxia Yu, Zhiqin Zou, Yifan Shao and Fengli Zhang
The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN)…
Abstract
Purpose
The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods.
Design/methodology/approach
In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach.
Findings
Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes.
Originality/value
The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.