Jue Li, Minghui Yu and Hongwei Wang
On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these…
Abstract
Purpose
On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.
Design/methodology/approach
The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.
Findings
The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.
Practical implications
The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.
Originality/value
This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.
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Haiyan Ge, Xintian Liu, Yu Fang, Haijie Wang, Xu Wang and Minghui Zhang
The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.
Abstract
Purpose
The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.
Design/methodology/approach
Based on the bootstrap method and the reliability of the original samples, two error ellipse models are proposed. The error ellipse model reasonably predicts that the discrete law of expanded virtual samples obeys two-dimensional normal distribution.
Findings
By comparing parameters obtained by the bootstrap method, improved bootstrap method (normal distribution) and error ellipse methods, it is found that the error ellipse method achieves the expansion of sampling range and shortens the confidence interval, which improves the accuracy of the estimation of parameters with small samples. Through case analysis, it is proved that the tangent error ellipse method is feasible, and the series of S-N curves is reasonable by the tangent error ellipse method.
Originality/value
The error ellipse methods can lay a technical foundation for life prediction of products and have a progressive significance for the quality evaluation of products.
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Jingyi Yan, Jin-Xiu Zhu, Nan Lu, Shanshan Gao, Jianfeng Ye, Chengzhi Yu, Minghui Yue and Xuerui Tan
The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey…
Abstract
Purpose
The purpose of this paper is to investigate the superior relationship between blood lipid- and cardiovascular disease (CVD)-related hematological parameters using superior grey relational analysis (GRA).
Design/methodology/approach
A total of 294 individuals who underwent simultaneous routine blood examination and blood lipid examination in the Physical Examination Center of the First Affiliated Hospital of Shantou University Medical College were included in this study. Superior GRA was performed to find out the superior factor in CVD-related hematological parameters and blood lipids. CVD-related hematological parameters included red blood cell distribution width, white cell count, and platelet count, platelet distribution width, mean platelet volume, as well as platelet crit. The indicators of blood lipids analyzed here consist of low-density lipoprotein, high-density lipoprotein, triglyceride and total cholesterol.
Findings
The results showed that all the grey relational degree of hematological parameters and blood lipids were over 0.8; the superior factor in hematological parameters was PLT, whereas TC was the superior factor in blood lipids.
Practical implications
Findings of this study suggested that hematological parameters are closely related to blood lipids and a potential role for hematological parameters in the prediction of dyslipidemia, which need further study; TC has the greatest influence on hematological parameters, whereas TG displays a minimal impact.
Originality/value
To the authors’ best knowledge, it was the first study to analyze the relationship between various CVD-related hematological parameters and blood lipids via superior GRA.
Mingze Jiang, Minghui Jiang, Jiaxin Xue, Wentao Zhan and Yuntao Liu
In the construction of charging piles, traditional gas stations possess significant advantages in terms of regional and financial resources. The transformation of gas stations…
Abstract
Purpose
In the construction of charging piles, traditional gas stations possess significant advantages in terms of regional and financial resources. The transformation of gas stations into “refueling+charging” integrated gas stations relies on charging pile manufacturers and government, involving coordination issues with them. This paper aims to propose a joint coordination contract based on the principles of cost-sharing and revenue-sharing. The objective is to achieve systemic coordination among integrated gas stations, charging pile manufacturers, and the government, optimizing the planning of the quantity of charging piles and charging prices.
Design/methodology/approach
We have constructed an operational system model based on the Stackelberg game between charging pile manufacturers, integrated gas stations, and government. We have analyzed the optimal quantity of charging piles and charging prices under the impact of government subsidy policies in both decentralized and centralized operation scenarios. Additionally, we have proposed a joint coordination contract based on cost-sharing and revenue-sharing to coordinate this tripartite operational system.
Findings
The study reveals that, under simple cooperative contracts, the optimal decision does not yield maximum profits for the operational system due to the “double-marginal effect”. However, under the impact of the joint coordination contract, which combines cost-sharing and revenue-sharing as proposed in this paper, gas stations will consider the charging pile manufacturer’s costs and government subsidies when determining the optimal quantity and price. This not only achieves system coordination but also results in Pareto improvement in the benefits of all system members by adjusting contract parameters.
Originality/value
The value of this research lies in its insights into operational strategies for the construction of charging piles for electric vehicles. By analyzing optimal decisions under different contract arrangements, the study provides guidance to relevant stakeholders, enabling the operational system to achieve greater efficiency and coordination and realize more extensive Pareto improvements. Furthermore, it extends the application of coordination contract theory in the context of charging pile construction and operations.
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Taiwen Feng, Hongyan Sheng and Minghui Li
Based on resource dependence theory and transaction cost economics this study explores how green customer integration (GCI) affects financial performance via information sharing…
Abstract
Purpose
Based on resource dependence theory and transaction cost economics this study explores how green customer integration (GCI) affects financial performance via information sharing and opportunistic behavior, and the moderating effects of dependence and trust.
Design/methodology/approach
This study develops a theoretical model and tests it using data from two-waved survey data of 206 Chinese manufacturers. The hypotheses were tested using hierarchical linear regression analysis.
Findings
The results show that GCI has a significant and positive impact on information sharing, but its impact on opportunistic behavior is insignificant. Notably, information sharing has a significant and positive impact on financial performance, while opportunistic behavior has an insignificant impact on financial performance. In addition, dependence negatively moderates the impact of GCI on information sharing and positively moderates the impact of GCI on opportunistic behavior. Trust negatively moderates the impact of GCI on opportunistic behavior.
Originality/value
Although GCI has received widespread attention, how it affects a firm's performance remains unclear. Most previous studies have focused only on its bright side and ignored its dark side. This study highlights how GCI affects financial performance through information sharing and opportunistic behavior, and the moderating effects of dependence and trust. This enriches the understanding of how and under what conditions GCI affects a firm's performance.
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Changsu Kim, Minghui Kang and Tao Wang
The purpose of this paper is to examine whether social networking site (SNS) communities benefit from collective knowledge and collaboration, which represent a portfolio of…
Abstract
Purpose
The purpose of this paper is to examine whether social networking site (SNS) communities benefit from collective knowledge and collaboration, which represent a portfolio of knowledge transfer on SNSs.
Design/methodology/approach
A survey was conducted on a large scale through an online questionnaire. Structural equation modeling was employed to analyze data collected from 674 experienced SNS users.
Findings
The results indicate that all three exogenous variables, presented as user characteristics and integrated into SNS user characteristics, were positively related to the knowledge transfer portfolio, namely, to collective knowledge and collaboration, and these variables had significant moderating effects on SNS users’ community cohesiveness. Early SNS adoption was more likely than late SNS adoption to moderate the relationship between collective knowledge and community cohesiveness and that between collective collaboration and community cohesiveness.
Practical implications
The findings provide useful insights for SNS operators to enhance the process of collaborative knowledge transfer. They may also be used to obtain better insights into important factors that require closer attention during SNS use.
Originality/value
The present study provides a systematic analysis of SNS use by considering a new research model and investigating the effects of SNS-based knowledge transfer on user outcomes based on three major characteristics of SNS users. The results are expected to provide a major foundation for further SNS research and a better understanding of the relationships between SNS user characteristics, knowledge transfer, and community cohesiveness.
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Zhang Bolun, Zhou Yan and Jiang Minghui
This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie…
Abstract
Purpose
This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie strength together form a high-level consumer engagement behavior.
Design/methodology/approach
Data collection was carried out in the form of a questionnaire survey. Data from 416 respondents were analyzed by structural, followed by further test by fsQCA method.
Findings
Perceived controllability, perceived responsiveness and perceived mutuality positively influence tie strength, and tie strength promotes consumer engagement behavior. Moreover, we found a configuration effect between interactivity and tie strength and revealed four configurations that can affect high-level engagement behavior.
Research limitations/implications
First, the SEM results show that the three dimensions of perceived interactivity positively impact tie strength: perceived controllability, perceived responsiveness, and perceived mutuality. And perceived personalization has no positive impact on tie strength. Second, the relevant results show that tie strength positively impacts consumer engagement behavior. Third, we find that the relationship between perceived interactivity and consumer engagement behavior may not be asymmetric, so the alternative combination of causal conditions may produce the same results. The fsQCA results revealed four configurations that can affect the level of consumer engagement behavior. And tie strength is the core condition.
Practical implications
This study provides specific solutions for e-retailers and live streaming platforms to promote consumers' participation in engagement behavior in e-commerce live streaming.
Originality/value
This study transforms the linear impact of interactivity on consumer engagement behavior into a configuration effect for the first time, and enriches the live streaming commerce and consumer engagement behavior literature.
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The purpose of this study is to examine Chinese international students' narrative stories, experiences and racial dynamics while studying in the United States to argue that…
Abstract
Purpose
The purpose of this study is to examine Chinese international students' narrative stories, experiences and racial dynamics while studying in the United States to argue that Chinese international students navigate multi-dimensional transitions and experiences in different stages. This study uses an AsianCrit lens to address the gap in existing research focusing on Chinese international students' narratives and experiences.
Design/methodology/approach
Narrative inquiry with a social constructivist paradigm was used to provide an in-depth exploration of Chinese international students' navigation and negotiation in multi-dimensional experiences. Three phases of semi-structured interviews and journal entries were utilized to examine participants' experiences and struggles while studying in the United States. Descriptive coding, deductive coding and restorying were used to analyze and feather narrators' voices and stories for interpretation.
Findings
The findings in this qualitative study demonstrate that Chinese international students have unique backgrounds, and their backgrounds shape their multi-dimensional transitions and experiences in the present and the future. The findings address students' nuanced experiences in academic transitions and non-academic transitions with an AsianCrit lens.
Practical implications
The study calls for higher education institutions to promote intercultural and international training for faculty and staff to better understand and support the unique needs of international students.
Originality/value
Using Multiple and Multi-dimensional Transitions theory with an AsianCrit lens helps make sense of the intersection of international student status, geopolitical tensions, racial dynamics and international student experiences.
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Malan Huang, Minghui Hua, Jin Li and Yanqi Han
As an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of…
Abstract
Purpose
As an important engine of economic growth, the digital economy is bringing new opportunities for the promotion of entrepreneurship. However, key questions regarding the extent of the effect of the digital economy on entrepreneurship remain unanswered. This study examines how the digital economy influences entrepreneurship in China using provincial data from 2011–2020, applying convergence tests and spatial econometric models.
Design/methodology/approach
Based on theoretical analysis and using macro provincial data covering the period of 2011–2020, we adopt a diversified empirical analytical method and apply a combination of the convergence trend test, spatial auto correlation test, and spatial Durbin model to test the research hypotheses.
Findings
First, there is spatial correlation between the digital economy and entrepreneurship. Second, the overall trend of China’s digital economy shows s convergence, with the whole country and the eastern region showing absolute β convergence and the whole country as well as the central and western regions showing β conditional convergence. Third, the digital economy can significantly promote entrepreneurship and has spatial spillover effects. Moreover, higher education has a negative moderating effect on the process of digital economy empowering entrepreneurship.
Research limitations/implications
Studying the spatially correlated impacts of the digital economy on entrepreneurship enhances our understanding of its contribution to economic growth. Policy-makers can use these findings to develop targeted digital infrastructure investments in lagging provinces, guide entrepreneurs to better grasp the opportunities of the digital economy, and provide support for innovation and entrepreneurship. The findings also could offer Chinese experience that can be used to guide developing countries in utilizing the digital economy to enable entrepreneurship.
Originality/value
This paper expands and enriches the analytical focus on digital economy-empowered entrepreneurship and complements the current theoretical research on the moderating effect of the digital economy in empowering entrepreneurship.
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Tao Wang, Yalan Li, Minghui Kang and Haichao Zheng
The purpose of this paper is to apply the self-determination theory (SDT) to propose a research model that incorporates the SDT framework and contextual variables as determinants…
Abstract
Purpose
The purpose of this paper is to apply the self-determination theory (SDT) to propose a research model that incorporates the SDT framework and contextual variables as determinants and self-identity and social identity as mediating constructs to predict individuals’ intentions toward donation crowdfunding in China.
Design/methodology/approach
Structural equation modeling is used to analyze the data collected from China.
Findings
The results indicate that the self-identity and social identity collectively or separately mediate the effect exerted by the sense of self-worth, face concern, moral obligation, perceived donor effectiveness, social interaction and referent network size on donation intentions. However, there is no evidence supporting the hypothesis connecting moral obligation with self-identity.
Practical implications
The study provides suggestions for service providers on how to improve and perfect the functions, and it also provides insights for donation crowdfunding fundraisers on how to increase the success rate.
Originality/value
The conclusions of this study provide academics with a more thorough understanding of the driving forces of individual behavior intention toward donation crowdfunding in China. This study further expands the SDT and identity theory in the context of donation crowdfunding, which improves their robustness in explaining behavioral intention. These theories may be an important part of future information system research.