Siyu Su, Youchao Sun, Yining Zeng and Chong Peng
The use of aviation incident data to carry out aviation risk prediction is of great significance for improving the initiative of accident prevention and reducing the occurrence of…
Abstract
Purpose
The use of aviation incident data to carry out aviation risk prediction is of great significance for improving the initiative of accident prevention and reducing the occurrence of accidents. Because of the nonlinearity and periodicity of incident data, it is challenging to achieve accurate predictions. Therefore, this paper aims to provide a new method for aviation risk prediction with high accuracy.
Design/methodology/approach
This paper proposes a hybrid prediction model incorporating Prophet and long short-term memory (LSTM) network. The flight incident data are decomposed using Prophet to extract the feature components. Taking the decomposed time series as input, LSTM is employed for prediction and its output is used as the final prediction result.
Findings
The data of Chinese civil aviation incidents from 2002 to 2021 are used for validation, and Prophet, LSTM and two other typical prediction models are selected for comparison. The experimental results demonstrate that the Prophet–LSTM model is more stable, with higher prediction accuracy and better applicability.
Practical implications
This study can provide a new idea for aviation risk prediction and a scientific basis for aviation safety management.
Originality/value
The innovation of this work comes from combining Prophet and LSTM to capture the periodic features and temporal dependencies of incidents, effectively improving prediction accuracy.
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Keywords
Yining Zeng, Rongxing Duan, Shujuan Huang and Tao Feng
This paper aims to deal with the problems of failure dependence and common cause failure (CCF) that arise in reliability analysis of complex systems.
Abstract
Purpose
This paper aims to deal with the problems of failure dependence and common cause failure (CCF) that arise in reliability analysis of complex systems.
Design/methodology/approach
Firstly, a dynamic fault tree (DFT) is used to capture the dynamic failure behaviours and converted into an equivalent generalized stochastic petri net (GSPN) for quantitative analysis. Secondly, an efficient decomposition and aggregation (EDA) theory is combined with GSPN to deal with the CCF problem, which exists in redundant systems. Finally, Birnbaum importance measure (BIM) is calculated based on the EDA approach and GSPN model, and it is used to take decisions for system improvement and fault diagnosis.
Findings
In this paper, a new reliability evaluation method for dynamic systems subject to CCF is presented based on the DFT analysis and the GSPN model. The GSPN model is easy to capture dynamic failure behaviours of complex systems, and the movement of tokens in the GSPN model represent the changes in the state of the systems. The proposed method takes advantage of the GSPN model and incorporates the EDA method into the GSPN, which simplifies the reliability analysis process. Meanwhile, simulation results under different conditions show that CCF has made a considerable impact on reliability analysis for complex systems, which indicates that the CCF should not be ignored in reliability analysis.
Originality/value
The proposed method combines the EDA theory with the GSPN model to improve the efficiency of the reliability analysis.
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Shaosheng Jin, Haoyang Li and Yao Li
In recent years, fresh produce (fresh vegetables and fruit) has been circulated widely via e-commerce in Chinese large cities in the form of fresh produce portfolios (FPPs). The…
Abstract
Purpose
In recent years, fresh produce (fresh vegetables and fruit) has been circulated widely via e-commerce in Chinese large cities in the form of fresh produce portfolios (FPPs). The purpose of this paper is to analyze the preferences of Chinese consumers for specific FPP attributes.
Design/methodology/approach
A choice experiment approach was used to explore consumer preferences. The authors conducted a means-end-chains evaluation to select the attributes for the choice experiment. The authors used a fractional factorial design and finally obtained 18 choice scenarios. The authors collected 166 effective consumer questionnaires in Beijing.
Findings
The authors found that among the four attributes considered, certification and the diversity of the FPP had significant effects on the willingness to pay (WTP) among consumers. Residents had heterogeneous preferences for FPP diversity and certification, but certification was the major concern when considering fresh produce in the FPP. With regard to the WTP for attributes in the portfolio, the WTP values for “green” and “organic” attributes were high, but the WTP for the diversity of FPPs was low.
Originality/value
This study is the first attempt to explore the preferences of Chinese consumers regarding the attributes of FPP in an e-commerce environment.
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Fue Zeng, Yining Song, Yiping Amy Song, Siqing Zuo and Jinjun Yu
Prosumers’ creative performance in a co-creation activity is greatly affected by the disclosure of activity information. Extant research has separately examined the impact of…
Abstract
Purpose
Prosumers’ creative performance in a co-creation activity is greatly affected by the disclosure of activity information. Extant research has separately examined the impact of participant numbers and the impact of platform transparency, but there is a lack of research on the interaction between the two. However, testing the joint effect of the two sources of information can provide a more comprehensive understanding of individuals’ co-creation behaviour. This paper aims to fill the gap and further reveal the psychological mechanism behind the behaviour.
Design/methodology/approach
Three experimental studies were conducted to test the hypotheses.
Findings
The results show that a large number of participants will stimulate and inhibit creative performances on untransparent and transparent co-creation platforms, respectively. Moreover, this study found that the effect of the number of participants on creative performance is mediated by arousal on untransparent platforms and by the constraint on idea expression on transparent platforms.
Research limitations/implications
This study advances knowledge of how the number of participants in an activity and platform transparency jointly influence prosumers’ creative performance and the corresponding mechanism. However, the main limitation of the study is that the findings are from scenario-based experiments.
Practical implications
This study provides a more comprehensive understanding of prosumers’ creative performance under the influence of the number of activity participants and platform transparency. The findings can help co-creation sponsoring companies and co-creation platforms improve activity performance by designing better information disclosure strategies, thereby enhancing platform value.
Originality/value
The findings enrich the literature on platform ecosystem and co-creation by integrating previously separate knowledge on the effects of participant numbers and platform transparency. In addition, the findings deepen the overall understanding of prosumers’ behaviour.
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Jianyu Zhao, Anzhi Bai, Xi Xi, Yining Huang and Shanshan Wang
Malicious attacks extremely traumatize knowledge networks due to increasing interdependence among knowledge elements. Therefore, exposing the damage of malicious attacks to…
Abstract
Purpose
Malicious attacks extremely traumatize knowledge networks due to increasing interdependence among knowledge elements. Therefore, exposing the damage of malicious attacks to knowledge networks has important theoretical and practical significance. Despite the insights being offered by the growing research stream, few studies discuss the diverse responses of knowledge networks’ robustness to different target-attacks, and the authors lack sufficient knowledge of which forms of malicious attacks constitute greater disaster when knowledge networks evolve to different stages. Given the irreversible consequences of malicious attacks on knowledge networks, this paper aims to examine the impacts of different malicious attacks on the robustness of knowledge networks.
Design/methodology/approach
On the basic of dividing malicious attacks into six forms, the authors incorporate two important aspects of robustness of knowledge networks – structure and function – in a research framework, and use maximal connected sub-graphs and network efficiency, respectively, to measure structural and functional robustness. Furthermore, the authors conceptualize knowledge as a multi-dimensional structure to reflect the heterogeneous nature of knowledge elements, and design the fundamental rules of simulation. NetLogo is used to simulate the features of knowledge networks and their changes of robustness as they face different malicious attacks.
Findings
First, knowledge networks gradually form more associative integrated structures with evolutionary progress. Second, various properties of knowledge elements play diverse roles in mitigating damage from malicious attacks. Recalculated-degree-based attacks cause greater damage than degree-based attacks, and structure of knowledge networks has higher resilience against ability than function. Third, structural robustness is mainly affected by the potential combinatorial value of high-degree knowledge elements, and the combinatorial potential of high-out-degree knowledge elements. Forth, the number of high in-degree knowledge elements with heterogeneous contents, and the inverted U-sharp effect contributed by high out-degree knowledge elements are the main influencers of functional robustness.
Research limitations/implications
The authors use the frontier method to expose the detriments of malicious attacks both to structural and functional robustness in each evolutionary stage, and the authors reveal the relationship and effects of knowledge-based connections and knowledge combinatorial opportunities that contribute to maintaining them. Furthermore, the authors identify latent critical factors that may improve the structural and functional robustness of knowledge networks.
Originality/value
First, from the dynamic evolutionary perspective, the authors systematically examine structural and functional robustness to reveal the roles of the properties of knowledge element, and knowledge associations to maintain the robustness of knowledge networks. Second, the authors compare the damage of six forms of malicious attacks to identify the reasons for increased robustness vulnerability. Third, the authors construct the stock, power, expertise knowledge structure to overcome the difficulty of knowledge conceptualization. The results respond to multiple calls from different studies and extend the literature in multiple research domains.
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Jiali Fang, Yining Tian and Yuanyuan Hu
The purpose of this study is to examine the relationship between the corporate social responsibility (CSR) performance of job-hopping executives at their former and subsequent…
Abstract
Purpose
The purpose of this study is to examine the relationship between the corporate social responsibility (CSR) performance of job-hopping executives at their former and subsequent firms.
Design/methodology/approach
We conduct regression analyses using a sample of firms listed on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2020 to examine whether CSR performance is similar from one firm to the next as executives switch jobs.
Findings
We find a positive relationship between the CSR performance of former and subsequent firms under job-hopping executives. This relationship is the strongest in the year of the job switch; it weakens in the second year and eventually disappears in the third year. In addition, we show that this relationship benefits different CSR stakeholder groups and is contingent on executive and subsequent firm attributes and job-hopping characteristics. Furthermore, we demonstrate that firms that hire a new chief executive officer from a firm with a strong track record in CSR, the new firm experiences a significant surge in CSR performance compared with firms that do not experience such a shock.
Practical implications
This study has implications for executive hiring decisions.
Originality/value
This study extends the understanding of CSR determinants through the lens of inter-organisational ties associated with job-hopping executives.
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Dongdong Lin, Xiaoyu Yan, Binsan Chen, Na She, Yining Ding and Shichao Dong
This study aims to explore the impact of key parameters of brake pads on the dynamic characteristics of the braking system.
Abstract
Purpose
This study aims to explore the impact of key parameters of brake pads on the dynamic characteristics of the braking system.
Design/methodology/approach
This study conducted experimental research based on a friction testing machine with a slider-disc structure. The experiment studied the impact of key parameters of brake pads (rotation speed, pressure, mass, braking radius, etc.) and the braking environment (dry friction, wetness, sand, etc.) on the stability of the braking system. At the same time, a dynamic model of the brake pad braking system was established and compared with experimental results using the mathematical tool of autocorrelation coefficient.
Findings
The key parameters of brake pads have a significant impact on the dynamic characteristics of the braking system; under different conditions of brake pad mass, tribological parameters, brake pad radius and braking environment, the chaotic characteristics of the braking friction force signal show a trend of expansion or contraction, which can be suppressed by adjusting the key parameters of brake pads.
Originality/value
This study can provide a reference for optimizing the braking strategy and reducing noise and vibration in brake pad systems.
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Gang Zhao, Jianhao Zhang and Wanyi Chen
Low-carbon city policies (LCCP) are crucial environmental regulatory frameworks driving China’s transition toward a low-carbon economy. This study investigated the impact of LCCP…
Abstract
Purpose
Low-carbon city policies (LCCP) are crucial environmental regulatory frameworks driving China’s transition toward a low-carbon economy. This study investigated the impact of LCCP on enterprise digital transformation (EDT).
Design/methodology/approach
This study employed a staggered difference-in-differences model for Chinese listed companies from 2007 to 2021. It also used a cross-sectional model for further analysis.
Findings
We found that the implementation of LCCP can promote EDT. This impact was more pronounced among enterprises with greater media attention in high-energy-consumption industries and well-developed economic areas.
Practical implications
This study has practical implications for the LCCP, as it evaluates the consequences of macro-level LCCP on micro-level corporate economic consequences. It provides an important reference for developing countries to implement LCCP and promote green industry upgrading.
Originality/value
This study broadens the impact of the LCCP, providing valuable insights into substantiating carbon neutrality goals and fostering the influencing factors of EDT.