Yuqing Xie, Lin Li and Shuaibing Wang
To reduce the computational scale for quasi-magnetostatic problems, model order reduction is a good option. Reduced-order modelling techniques based on proper orthogonal…
Abstract
Purpose
To reduce the computational scale for quasi-magnetostatic problems, model order reduction is a good option. Reduced-order modelling techniques based on proper orthogonal decomposition (POD) and centroidal Voronoi tessellation (CVT) have been used to solve many engineering problems. The purpose of this paper is to investigate the computational principle, accuracy and efficiency of the POD-based and the CVT-based reduced-order method when dealing with quasi-magnetostatic problems.
Design/methodology/approach
The paper investigates computational features of the reduced-order method based on POD and CVT methods for quasi-magnetostatic problems. Firstly the construction method for the POD and the CVT reduced-order basis is introduced. Then, a reduced model is constructed using high-fidelity finite element solutions and a Galerkin projection. Finally, the transient quasi-magnetostatic problem of the TEAM 21a model is studied with the proposed reduced-order method.
Findings
For the TEAM 21a model, the numerical results show that both POD-based and CVT-based reduced-order approaches can greatly reduce the computational time compared with the full-order finite element method. And the results obtained from both reduced-order models are in good agreement with the results obtained from the full-order model, while the computational accuracy of the POD-based reduced-order model is a little higher than the CVT-based reduced-order model.
Originality/value
The CVT method is introduced to construct the reduced-order model for a quasi-magnetostatic problem. The computational accuracy and efficiency of the presented approaches are compared.
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Hong Xu, Yuqing Liu and Xingyang Lyu
This study aims to examine how the degree of value co-creation affects Chinese customers’ evaluations of new tourism and hospitality services, and how the outcome quality…
Abstract
Purpose
This study aims to examine how the degree of value co-creation affects Chinese customers’ evaluations of new tourism and hospitality services, and how the outcome quality moderates this relationship under different conditions.
Design/methodology/approach
The proposed hypotheses are tested using a self-reporting questionnaire-based survey and two experimental designs. Data analysis entailed hierarchical multiple regression analysis, a simple slope test and a two-way ANOVA.
Findings
Three component studies assessed boundary conditions for the positive effects of the degree of value co-creation on customers’ evaluations of new services. Studies 1 and 2 indicated that unequivocal high-quality outcomes amplified positive effects, which were reversed by unequivocal low-quality outcomes. Study 3 demonstrated that in Chinese contexts of ambiguous outcomes, the relationship between the degree of co-creation and new service evaluation was positively mediated by self-integration in private contexts and negatively mediated by loss of face in public contexts.
Practical implications
This study identifies critical factors influencing successful service innovation in China within different contexts. Its finding of context-dependent customer engagement in value co-creation has managerial implications for facilitating favorable new service evaluations.
Originality/value
This exploratory study addresses a research gap regarding service innovation, offering insights into positive and negative influences of customer value co-creation on new service evaluation, under different outcome quality conditions in the domestic Chinese hospitality and tourism sector.
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Neng Shen, Yuqing Zhao and Rumeng Deng
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research…
Abstract
Purpose
This paper aims to review the literature on carbon trading from the perspective of evolution, finds out the evolution path of these literatures and gives out the future research hotspots in this field.
Design/methodology/approach
Uses visualization tools (CiteSpace and HistCite) to systematically categorize the literature on carbon-trading schemes in the Web of Science core collection from 1998 to 2018, comprehensively analyzes carbon-trading schemes from four dimensions, namely, discipline evolution, keyword evolution, citation cluster evolution and citation path evolution.
Findings
Research on carbon-trading schemes has a specific development and evolution path along four dimensions, namely, in the discipline dimension, the largest change lies in the mathematics pointed to by at least four different disciplines; the keyword evolution dimension shows a gradual deepening emphasis on coordinated development; citation clusters identify three major clusters – carbon prices, China’s carbon trading, carbon market and supply chain; and citation paths identify three major evolutionary paths, the most important of which shows that “What affects carbon price?” has changed to “What is the impact of carbon prices?”
Originality/value
Reveals the evolution path of carbon trading research studies and proposes four possible development directions for carbon-trading scheme research, which is helpful for future carbon trading-related research and serves as a reference for the promotion of and improvements in carbon-trading schemes.
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Jingkuang Liu, Yuqing Li, Ying Li, Chen Zibo, Xiaotong Lian and Yingyi Zhang
The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper…
Abstract
Purpose
The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities.
Design/methodology/approach
Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis.
Findings
Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency.
Research limitations/implications
First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances.
Practical implications
The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers.
Social implications
The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies.
Originality/value
The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.
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Yi-Hsin Lin, Zixuan Huang and Yuqing Gao
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Abstract
Purpose
This study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.
Design/methodology/approach
In-depth interviews and a cross-sectional questionnaire survey were conducted to collect primary data within international projects. Hierarchical regression analysis was used to test the hypotheses based on data collected from 62 respondents.
Findings
The results reveal that both market and hierarchy cultures affect international project performance positively. Additionally, communication, cooperation and trust help enhance project performance; however, commitment is not. This study also proves the mediating role of relational capital between organizational culture and project performance.
Research limitations/implications
This study selected only two types of organizational culture represented by Chinese construction enterprises. Future studies can explore the mediating role of relational capital between other varieties of organizational culture and project performance.
Originality/value
Given the high complexity and risks faced by projects abroad, both organizational culture, the internal environmental factor and relational capital being the external resource, are crucial for project success. This study clarifies the relationship between organizational culture, relational capital and project performance overseas. Empirical evidence to enhance international project performance for construction enterprises is provided. This study also makes contributions to international contractors who want to implement projects in developing countries.
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Yuqing Wu, Jizhong Shen, Jun Liang and Maoqun Yao
The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs) without…
Abstract
Purpose
The design method of high-resolution capacitor arrays was proposed to improve the precision of successive approximation register (SAR) analog-to-digital converters (ADCs) without calibration and optimize the circuit area.
Design/methodology/approach
According to calculation of equivalent series capacitors and change of voltage at the comparator input node, two three-stage structures of capacitor arrays and a general design flow of the multi-stage capacitor arrays were presented. Non-ideal factors on the capacitor arrays were analyzed, and the applications of the two structures were explained based on the capacitor mismatch.
Findings
A multi-stage capacitor array for 16-bit SAR ADCs was implemented. The simulation result shows that its nonlinear error was less than 0.3LSB with no gain error and the sampling capacitance accounted for 92.42% of the total capacitance. Effects of capacitive parasitic and mismatch on capacitor arrays were confirmed.
Originality/value
The proposed method focused on capacitor arrays design of high-resolution SAR ADCs. It effectively reduced nonlinear errors, improved SNR and optimized the area of SAR ADCs. The design method was suitable for SAR ADCs with different resolutions to improve their precision.
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The purpose of this paper is to evaluate and rank the influence of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with…
Abstract
Purpose
The purpose of this paper is to evaluate and rank the influence of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS.
Design/methodology/approach
This disaggregation method includes four main steps, determine the vector of weights for the factors by analytic hierarchy process, calculate the matrix of consistent effect measure, determine the weighted absolute degree of grey incidence with TOPSIS, rank and evaluate the events.
Findings
We get the ranking of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. The result can be used for evaluating and ranking the influence of internet public opinion in China. The positive weighted absolute degree of grey incidence, the negative weighted absolute degree of grey incidence and the weighted absolute degree of grey incidence with TOPSIS have the same ranking results. The same ranking results show that the method of weighted absolute degree of grey incidence with TOPSIS has good consistency.
Practical implications
The weighted absolute degree of grey incidence with TOPSIS can be easily used for other evaluation.
Originality/value
The weighted absolute degree of grey incidence with TOPSIS is proposed and first used for evaluating and ranking the influence of internet public opinion of China’s Government work.
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The paper aims to propose a clustering model for panel data. More specifically, the paper aims to construct a gray incidence model for panel data to solve the classification with…
Abstract
Purpose
The paper aims to propose a clustering model for panel data. More specifically, the paper aims to construct a gray incidence model for panel data to solve the classification with multi-factors and multi-attributes.
Design/methodology/approach
The paper opted for a clustering theory study using gray incidence theory based on dynamic weighted function. The paper presents an example to verify the rationality of the new model, which suggests that the new model can reflect the incidence degree of panel data.
Findings
The paper provides a new gray incidence model based on a dynamic weighted function that can amplify the characteristics of the sample to some extent. The properties of the new incidence model, such as normalization, symmetry and nearness, are all satisfied. The paper also shows that the new incidence model performs very well on cluster discrimination.
Originality/value
The new model in this paper has supplemented and improved the gray incidence analysis theory for panel data.
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Kun Huang, Xijia Hao, Miao Guo, Jingyuan Deng and Lei Li
To better meet people's information needs under the public health crisis, this study explored the information needs and seeking behavior of college students in the context of the…
Abstract
Purpose
To better meet people's information needs under the public health crisis, this study explored the information needs and seeking behavior of college students in the context of the COVID-19 pandemic.
Design/methodology/approach
This research utilized a survey and the convenience snowball sampling method. A sample of 400 college students was obtained.
Findings
The results revealed that college students have paid great attention to COVID-19-related information. They sought the information mainly for personal protection, obtaining the latest information and seeking information for family and friends. Their COVID-19-related information needs were diverse; at different stages, the concerns were different. Social media and mass media were both found to be the most useful tools for seeking COVID-19 information. Too much repetitive information, unclear authoritative and reliable informational sources, and difficulties in judging the authenticity of the information were the most common obstacles for them in information seeking. Nevertheless, the majority of the students agreed that they were very satisfied and somewhat satisfied with the current information services. This did not affect the students' understanding of the importance of health services provided by libraries.
Originality/value
Insights into the people's information needs and information-seeking behavior of this study could help the information providers to offer appropriate information in better ways to improve the public's virus protection capabilities and maintain the stability of social order.