Shuanbao Yao, Dawei Chen and Sansan Ding
The nose length is the key design parameter affecting the aerodynamic performance of high-speed maglev train, and the horizontal profile has a significant impact on the…
Abstract
Purpose
The nose length is the key design parameter affecting the aerodynamic performance of high-speed maglev train, and the horizontal profile has a significant impact on the aerodynamic lift of the leading and trailing cars Hence, the study analyzes aerodynamic parameters with multi-objective optimization design.
Design/methodology/approach
The nose of normal temperature and normal conduction high-speed maglev train is divided into streamlined part and equipment cabin according to its geometric characteristics. Then the modified vehicle modeling function (VMF) parameterization method and surface discretization method are adopted for the parametric design of the nose. For the 12 key design parameters extracted, combined with computational fluid dynamics (CFD), support vector machine (SVR) model and multi-objective particle swarm optimization (MPSO) algorithm, the multi-objective aerodynamic optimization design of high-speed maglev train nose and the sensitivity analysis of design parameters are carried out with aerodynamic drag coefficient of the whole vehicle and the aerodynamic lift coefficient of the trailing car as the optimization objectives and the aerodynamic lift coefficient of the leading car as the constraint. The engineering improvement and wind tunnel test verification of the optimized shape are done.
Findings
Results show that the parametric design method can use less design parameters to describe the nose shape of high-speed maglev train. The prediction accuracy of the SVR model with the reduced amount of calculation and improved optimization efficiency meets the design requirements.
Originality/value
Compared with the original shape, the aerodynamic drag coefficient of the whole vehicle is reduced by 19.2%, and the aerodynamic lift coefficients of the leading and trailing cars are reduced by 24.8 and 51.3%, respectively, after adopting the optimized shape modified according to engineering design requirements.
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Dawei Chen, Jianliang Zhou, Pinsheng Duan and Jiaqi Zhang
The outbreak of COVID-19 pandemic has posed severe challenges to infrastructure construction in China. Particularly, the complex technology and high process uncertainty of deep…
Abstract
Purpose
The outbreak of COVID-19 pandemic has posed severe challenges to infrastructure construction in China. Particularly, the complex technology and high process uncertainty of deep foundation pit construction make its safety risk identification a challenging issue of general concern. To address these challenges, Building Information Modeling (BIM) can be used as an important tool to enhance communication and decision-making among stakeholders during the pandemic. The purpose of this study is to propose a knowledge management and BIM-integrated safety risk identification method for deep foundation pit construction to improve the management efficiency of project participants.
Design/methodology/approach
This paper proposes a risk identification method that integrates BIM and knowledge management for deep foundation pit construction. In the framework of knowledge management, the topological relationships between objects in BIM are extracted and visualized in the form of knowledge mapping. After that, formal expressions of codes are established to realize the structured processing of specification provisions and special construction requirements. A comprehensive plug-in for deep foundation pit construction is designed based on the BIM software.
Findings
The proposed method was verified by taking a sub-project in deep foundation pit project construction as an example. The result showed the new method can make full use of the existing specification and special engineering requirements knowledge. In addition, the developed visual BIM plug-in proves the feasibility and applicability of the proposed method, which can help to increase the risk identification efficiency and refinement.
Originality/value
The deep foundation pit safety risk identification is challenged by the confusion of deep foundation pit construction safety knowledge and the complexity of the BIM model. By establishing the standardized expression of normative knowledge and special construction requirements, the efficiency and refinement of risk identification are improved while ensuring the comprehensiveness of results. Moreover, the topology-based risk identification method focuses on the project objects and their relations in the way of network, eliminating the problem of low efficiency from the direct BIM-based risk identification method due to massive data.
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Ning Zhang, Xu Haoran, Feng Jiang, Dawei Wang, Peng Chen and Qing Zhang
Based on the theoretical viewpoints of criminal geography and environmental criminology, this research uses spatial multi-criteria decision-making methods. In the process of…
Abstract
Purpose
Based on the theoretical viewpoints of criminal geography and environmental criminology, this research uses spatial multi-criteria decision-making methods. In the process of spatial decision-making and optimization of police resources, researchers fully consider the dynamic application of Geographic Information System (GIS) and the effects of spatial prevention and control.
Design/methodology/approach
Researchers use an integrated method combining Policing Geographic Information System (PGIS) and multi-criteria decision analysis (MCDA). On the one hand, police GIS has an excellent visual data analysis platform and integrated decision support system in data management, spatial analysis, data exploration and regression analysis. On the other hand, through the design of the indicator system, the quantification of indicators, the determination of weights, comprehensive evaluation and sensitivity analysis, MCDA can select the best plan from a large number of alternatives. When joining MCDA, the spatial dimension will bring the research results closer to the real world.
Findings
The study finds that the crime of burglary is affected to a certain extent by the distribution of police forces, the location of police units. Another important finding of this research is the correlation between more precise preventive measures and the crime of burglary.
Originality/value
From a practical point of view, this research would help advance the role of police units and law enforcement agencies in preventing burglary crimes and provide experience for the allocation of regional police resources.
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Dawei Yi, Zhiyun Zhang, Jin Chen, Libin Niu and Jianhong Peng
The directional solidification Fe-B alloy was prepared. The microstructures and three-body abrasive wear behaviors of directional solidification alloy were investigated.
Abstract
Purpose
The directional solidification Fe-B alloy was prepared. The microstructures and three-body abrasive wear behaviors of directional solidification alloy were investigated.
Design/methodology/approach
Fe-B alloy was melted in medium frequency induction furnace. The hardness was measured on HRS-150 Rockwell-hardness tester and HXD-1000TMC tester. The wear characteristic of the alloy was examined with a block-on-ring geometry. The worn surface of the alloy was investigated by scanning electron microscopy and laser scanning microscopy.
Findings
The wear weight loss and worn surface roughness increase with the increasing contact load in wear tests. When the worn surface is perpendicular to the boride growth direction, the highest hardness plane of the boride can resist abrasive effectively under the surrounding and supporting of the martensite matrix.
Originality/value
The relation between boride growth direction and wear direction will cause different boride breaking tendency and wear weight loss.
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Dawei Shang and Weiwei Wu
The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via…
Abstract
Purpose
The purpose of this paper is to investigate and examine the factors contributing to consumers’ mobile shopping continuance intention (CI) of food and non-food items via smartphones and other mobile terminals.
Design/methodology/approach
An integrated model was proposed on the basis of the technology acceptance model (TAM) and expectation confirmation model (ECM), focussing on perceived value (PV). The survey responses of 203 Chinese mobile shoppers (m-shoppers) were analysed using structural equation modelling with the partial least squares approach.
Findings
The results indicated that perceived usefulness does not motivate all user groups. Furthermore, satisfaction and perceived ease of use significantly impacted different user groups. For online food m-shoppers, value for money (VM) was the most important factor influencing satisfaction and CI. However, perceived usefulness only affected CI for non-food m-shoppers.
Practical implications
Marketers can improve users’ CI by enhancing VM and maximising effectiveness and enjoyment while minimising prices. Moreover, in determining strategies for different users, marketers should identify the behavioural differences among all groups and those between the two classified groups.
Originality/value
This is one of the studies attempting to explain Chinese mobile shopping consumers’ CI, but especially through an integrated model based on TAM and ECM with PV on food and non-food m-commerce perspective. It offers several implications for researchers and practitioners and contributes to the literature of technology acceptance and post-adoption behaviour in m-commerce.
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Yuanjie Zhi, Dongmei Fu, Tao Yang, Dawei Zhang, Xiaogang Li and Zibo Pei
This study aims to achieve long-term prediction on a specific monotonic data series of atmospheric corrosion rate vs time.
Abstract
Purpose
This study aims to achieve long-term prediction on a specific monotonic data series of atmospheric corrosion rate vs time.
Design/methodology/approach
This paper presents a new method, used to the collected corrosion data of carbon steel provided by the China Gateway to Corrosion and Protection, that combines non-linear gray Bernoulli model (NGBM(1,1) with genetic algorithm to attain the purpose of this study.
Findings
Results of the experiments showed that the present study’s method is more accurate than other algorithms. In particular, the mean absolute percentage error (MAPE) and the root mean square error (RMSE) of the proposed method in data sets are 9.15 per cent and 1.23 µm/a, respectively. Furthermore, this study illustrates that model parameter can be used to evaluate the similarity of curve tendency between two carbon steel data sets.
Originality/value
Corrosion data are part of a typical small-sample data set, and these also belong to a gray system because corrosion has a clear outcome and an uncertainly occurrence mechanism. In this work, a new gray forecast model was proposed to achieve the goal of long-term prediction of carbon steel in China.
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The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a…
Abstract
Purpose
The creation of partnerships among companies, governments and universities can improve innovation and the technological development of institutions. As innovation is a multidimensional concept, more nuanced research is needed to identify, which dimensions of innovation firms should focus on them. This paper aims to investigate the influence of attitude to knowledge sharing (KS) factors, learning organization and creativity on the innovation in marketing biotechnology firms. So, the purpose of this paper is to examine the influence of learning organization, attitude to KS, creativity, information technology (IT) acceptance, KS culture and trust on the innovation by presenting a new framework and a model.
Design/methodology/approach
The structural equation modeling technique is used to examine the reliability and validity of the measurement of the provided model. Data were collected by questionnaires. A case study was carried out in 100 marketing biotechnology firms in the Tehran of Iran. In this paper, smart partial least squares 2.0 was used to evaluate the measurement.
Findings
The result showed that all hypotheses of this research are proved. Also, the results have shown that the attitude to KS, learning organization and creativity affect the innovation in marketing biotechnology firms. As an overall result, the managers should create an enhanced knowledge bank to increase and encourage the KS among employees, thus creating and enhancing innovation in organizations. Also, the results have shown that marketing shortages were mostly connected to access to human resources with related management and marketing experiences and were mainly felt by firms introducing discontinuous novelties.
Research limitations/implications
The main limitation of this paper is that the sample was retrieved from 384 employees in 100 marketing biotechnology institutions. The larger number of samples can yield better results. Next, even though the respondents’ profiles indicated a high probability of them being cognizant of their organization’s efforts in inter-firm KS, learning, creativity and innovation with three or four respondent from each organization answering all questions for such complicated issues always poses the risk of measurement bias and inaccuracy. An ideal situation for future studies would be to pool and compare multiple respondents from the same organization to obtain a more comprehensive firm-level measurement. In addition, this study only surveyed and sampled biotech marketing companies in Iran. Therefore, the model should be examined using samples from other countries because the varieties of culture could have an impact on employee apprehensions. So, future researchers can test the measurement instrument in different countries and/or conduct large multi-national comparisons.
Practical implications
Successful marketing strategies depend very much on an organization’s ability to implement them. This paper provides an excellent study about the future of pharmaceutical KS and shows that innovation paths are linked with local and temporary occasions. Also, the results of this study provide valuable information in formulating marketing biotechnology programs. It is essential to study both economics and innovation for students and academics. The results also suggested that policies to increase economic research will also increase innovation. They could contain the consolidation of the legal framework and institutional resources for public organizations to protect intellectual properties. In general, for successful implementation of strategies an organization has to integrate KS, processes and IT.
Social implications
The paper identifies the most critical factors in the innovation process of enterprizes in marketing biotechnology institutions. The implications derived from this study can shed new light upon policy-making both at the level of governance and in the management practice in Iran’s marketing biotechnology industry. Also, the paper increases understanding of the innovation process in Iran marketing biotechnology companies. This study contributes to innovating management research by offering a set of legal and dependable operational measures. These measures can help academics in theory analysis.
Originality/value
This is the first attempt examining the role of the learning organization, creativity and attitude to KS as a key contingency factor in innovation in Iran marketing biotechnology firms, an issue whose understanding is still developing in the literature. The paper adds to the body of knowledge by allowing better understanding the attitude toward KS and the influence of KS, learning and creativity on innovation. Previous studies did not investigate the KS in marketing biotechnology firms deeply, but, the present paper permits a more complete view on this topic. The guidelines are provided for the top directors to promote KS and innovation according to the research results. From a managerial point of view some critical elements, which are important for the success of KS and application of these elements for progressing institutional guidelines to develop KS, are considered. Theoretical foundations can be extracted from this study, and these foundations can be implemented to investigate connection in KS elements such as feasibilities processes and institution initiative abilities. So, the results could be suitable to managers when arranging an organization and shaping its culture to improve knowledge management.
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Guocheng Lv, Dawei Jia, Changyou Li, Chunyu Zhao, Xiulu Zhang, Feng Yan, Hongzhuang Zhang and Bing Li
This study aims to investigate the effect of countersunk rivet head dimensions on the fatigue performance of the riveted specimens of 2024-T3 alloy.
Abstract
Purpose
This study aims to investigate the effect of countersunk rivet head dimensions on the fatigue performance of the riveted specimens of 2024-T3 alloy.
Design/methodology/approach
The relationship between rivet head dimensions and fatigue behavior was investigated by finite element method and fatigue test. The fatigue fracture of the specimens was analyzed by scanning electron microscopy.
Findings
A change of the rivet head dimensions will cause a change in the stress concentration and residual normal stress, the stress concentration near the rivet hole causes the fatigue crack source to be located on the straight section of the countersunk rivet hole and the residual normal stress can effectively restrain the initiation and expansion of fatigue cracks. The fatigue cycle will cause the rivet holes to produce different degrees of surface wear.
Originality/value
The fatigue life of the specimens with the height of the rivet head of 2.28 mm and 2.00 mm are similar, but the specimens with the height of the rivet head of 1.72 mm were far higher than the other specimens.
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Mushahid Hussain Baig, Jin Xu, Faisal Shahzad, Ijaz Ur Rehman and Rizwan Ali
We empirically investigate the impact of fintech innovation on dividend payout (DP) decisions. In addition, we also examine the mediated and moderated role of intellectual…
Abstract
Purpose
We empirically investigate the impact of fintech innovation on dividend payout (DP) decisions. In addition, we also examine the mediated and moderated role of intellectual capital (IC) and board characteristics (BC) respectively in the fintech innovation-DP relationship.
Design/methodology/approach
Using a sample of 9,441 firm-year observations over the period 2014–2022, we develop a structural model that encompasses fintech innovation, IC, BC and DP decisions. We utilize fixed effects regression to empirically test the model. A battery of tests such as the two-step Generalized Method of Moment, Heckman’s two-stage selection correction and Difference-in-Difference regression are used to check the robustness and sensitivity of the estimates.
Findings
Our results suggest that fintech innovation significantly and positively impacts DP decisions and IC partially mediates the fintech innovation–DP relationship. In addition, BC such as independence, age and gender diversity are found to moderate this relationship.
Originality/value
This study’s originality lies in its micro-level analysis of the impact of fintech innovation on DP decisions, considering a novel firm-level innovation metric derived from patent applications. To our knowledge, no previous work has empirically examined the mediating role of IC and the moderating influence of BC in the fintech innovation–DP relationship, offering a unique perspective on the complex interactions shaping dividend policies in the digital era.
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Dawei Jin, Jianghui Liu, Liuling Liu and Desheng Yin
– The purpose of this paper is to investigate the quality of financial reporting by banks in China, and the profit hiding behavior of banks in particular.
Abstract
Purpose
The purpose of this paper is to investigate the quality of financial reporting by banks in China, and the profit hiding behavior of banks in particular.
Design/methodology/approach
Reported profit is compared with actual profit using multiple regression analysis. The identification strategy allows the authors to quantify the degree of profit hiding in banking institutions.
Findings
Profit hiding exists in the whole banking sector in China regardless of the ownership structure of individual banks, though joint-stock banks have higher degree of profit hiding. Banks that are more financially constrained hide more profit than those less constrained ones. The competition in the banking industry competition impacts the extent of profit hiding, with higher competition being associated with lower degree of profit hiding.
Research limitations/implications
This paper documents the prevailing behavior of profit hiding in Chinese banks. It raises issues regarding the conventional methods of measuring bank efficiencies using accounting information reported by banking institutions.
Originality/value
This paper empirically examines the profit hiding behavior of banks in a transitional country.