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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.

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.

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.

This study can provide a new idea for aviation risk prediction and a scientific basis for aviation safety management.

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.

The purpose of this paper is to assess the risk of controlled flight into terrain (CFIT) for airlines and to develop a practical method for evaluating and predicting CFIT risk to ensure safe and efficient airline operations.

In accordance with the monitoring project specification issued by the Flight Standards Department of the Civil Aviation Administration of China (CAAC), a preliminary draft of evaluation indicators for CFIT risk was developed based on the literature review and semi-structured interviews. Fifteen aviation experts were then selected and invited to participate in a Delphi method to revise the draft. Analytic hierarchy process (AHP) and entropy weight method were used to determine the combined weight of the indicators. The variable fuzzy set model and quick access recorder (QAR) data were applied to evaluate the CFIT risk of an airline from 2007 to 2018, and the classification results were compared with actual operational data.

The research findings reveal that the six most significant monitoring items affecting CFIT risk are incorrect configuration settings during landing, loss of altitude during climbing, ground proximity warning, G/S deviation, flap extension delay during landing and incorrect takeoff configuration. The CFIT risk of airlines has shown an increasing trend since 2015. The values in 2010, 2017 and 2018 were greater than 2 and less than 2.5, indicating that the CFIT risk is at Level 2, close to Level 3, and the risk is low but approaching medium.

Using the combination weight determined by AHP and entropy weight method to rank the weight of 15 monitoring items, airlines can take necessary measures (simulator training, knowledge training) to reduce the occurrence of monitoring items with high weight to reduce CFIT risk. This risk assessment method can quantitatively evaluate the CFIT risk of airlines and provide theoretical guidance and technical support for airlines to formulate safety management measures and flight training programs, enabling the interconnection between QAR data and flight quality.

The proposed method in this study differs from traditional approaches by offering a quantitative assessment of CFIT risk for airlines and enabling the interconnection between QAR data and flight quality.

The purpose of this paper is to identify the key influencing factors of aviation accidents and to predict the aviation accidents caused by the factors.

This paper proposes an improved gray correlation analysis (IGCA) theory to make the relational analysis of aviation accidents and influencing factors and find out the critical causes of aviation accidents. The optimal varying weight combination model (OVW-CM) is constructed based on gradient boosted regression tree (GBRT), extreme gradient boosting (XGBoost) and support vector regression (SVR) to predict aviation accidents due to critical factors.

The global aviation accident data from 1919 to 2020 is selected as the experimental data. The airplane, takeoff/landing and unexpected results are the leading causes of the aviation accidents based on IGCA. Then GBRT, XGBoost, SVR, equal-weight combination model (EQ-CM), variance-covariance combination model (VCW-CM) and OVW-CM are used to predict aviation accidents caused by airplane, takeoff/landing and unexpected results, respectively. The experimental results show that OVW-CM has a better prediction effect, and the prediction accuracy and stability are higher than other models.

Unlike the traditional gray correlation analysis (GCA), IGCA weights the sample by distance analysis to more objectively reflect the degree of influence of different factors on aviation accidents. OVW-CM is built by minimizing the combined prediction error at sample points and assigns different weights to different individual models at different moments, which can make full use of the advantages of each model and has higher prediction accuracy. And the model parameters of GBRT, XGBoost and SVR are optimized by the particle swarm algorithm. The study can guide the analysis and prediction of aviation accidents and provide a scientific basis for aviation safety management.

The purpose of this paper is to investigate relational contracting (RC) practices that give rise to higher quality interpersonal relations between these pairs of stakeholders at the end of public projects: clients and contractors; contractors and consultants; and clients and consultants. It developed models to predict the level of quality of interpersonal relations between the stakeholders at the completion of public projects.

Using a set of questionnaire, data were collected from randomly selected construction industry practitioners who have had experience in public projects in Singapore. The data were analysed to identify association between the use of RC practices and quality of interpersonal relations between stakeholders. In-depth interviews with experts were conducted.

It was found that when certain RC practices were adopted to a larger extent, public projects also have significantly higher quality of interpersonal relations between clients, contractors and consultants. Three mathematical models were developed to predict the relationship quality between stakeholders at the end of the public project.

The limitations include the subjective nature of the Likert scale that was used in answering the questionnaire survey and the limited number of interviews. The effect of existing good relations among stakeholders was not taken into account.

Suitable RC practices for adoption by public clients, contractors and consultants in public projects are recommended. These include developing deeper mutual trust and understanding, sharing project information, and having real gain-share/pain-share among contracting parties.

RC practices that are significantly associated with relationships among contracting parties in public projects in Singapore are uncovered. Contracting parties may use the recommendations to help enhance their relationships with one another in a public project.

This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops into a real top leader and achieves the status of legitimacy in a well-known enterprise.

Based on constructivist grounded theory, this paper investigates the formation mechanism of entrepreneurial authority in China by using the rich data of Liu Chuan-zhi’s leader activities.

In the “evolution” path of authority formation, leaders continually consolidate and improve their authority through two classes of exceptional management activities: “emergency rescue” and “promotion activities”. The successful realization of exceptional management activities benefits from a leader’s management experience accumulation and relationship maintenance with the government. In the “design” path of authority formation, leaders consolidate and improve their authority by exercising their position of power. Leaders’ legitimacy is reflected by making strategic decision and demonstrating discretion of position power. Additionally, passing on an inspiring leader’s thoughts and ideas to an organization’s members is accomplished through the construction of organization culture, institutionalization and convention.

First, the findings are based on only Liu Chuan-zhi’s case. The authors still need more cases to compare and develop the findings and seek theoretical saturation in a broader sense. Second, the qualitative analysis is based on secondary data and future research could consider the introduction of interviews, video and other types of research data.

Under the parallel paths which are “evolution” and “design”, the dynamic leader authority formation model in China is founded.

This paper offers insights into the conflicts and tensions within the Malaysian accounting profession and the power struggle therein to dominate the accounting standard setting process, within the context of a rapidly developing country. It shows how interest groups and parochial interests, along with issues of self‐protection, affected the process of standard setting, which was controlled by different interests over the period under study. At one time the profession dominated. But far from being a monolithic body, it was in turn split according to various interests: the Big Six behind the Malaysian Association of Certified Public Accountants (MACPA) and the smaller firms behind the Malaysian Institute of Accountants (MIA). At other times big business prevailed. These conflicts and power struggles are revealed through an analysis of the case of the Goodwill Accounting Standard.

Guided by the conservation of resources theory, this study aims to present a comprehensive framework examining leadership, Guanxi, work-family conflict and work engagement. It specifically explores how group-level transformational leadership influences individual-level Guanxi and work-family conflict and how these factors, in turn, impact work engagement.

The study surveyed 473 teachers in the Klang Valley, Malaysia, and used hierarchical linear modelling.

The results reveal that transformational leadership directly enhances non-work relationships, reduces work-family conflict and indirectly predicts increased work engagement. This indirect influence occurs through the mediation of Guanxi and the work-family conflict. Notably, while stronger Guanxi is associated with greater work engagement in the professional sphere, it does not necessarily mitigate the work-family conflict in the personal domain.

These findings provide valuable insights into maintaining and enhancing work engagement by implementing transformational leadership through more effective channels, such as Guanxi and work-family conflict management.

This paper aims to analyse the anti-money laundering (AML) obligations imposed on bankers as the main reporting entities under the AML regime in Malaysia. Apart from discussing the relevant provisions, several court cases were also examined to identify the problems which arise in the implementation of the law and the risk of dismissal that bankers may face.

This paper mainly relies on statutes and court cases as its primary sources of information. It is supported by secondary data to justify the analysis. This paper also uses an analytical descriptive approach to analyse relevant provisions from statutes and to examine current court cases regarding the implementation of the AML obligations on bankers.

It is submitted that the AML legislation imposes a significant burden of reporting requirements on the bankers, failure of which may justify the dismissal or termination of their services. In other words, the law has not only altered the way bankers deal with their customers but also poses substantial legal risks to their security of tenure. Indeed, getting the right balance between the need to combat money laundering and the interests of bankers is a difficult exercise.

This paper provides an analysis of the liability of bankers under Malaysian AML laws. It is hoped that the content of this paper can provide some insight into this particular area for bankers, enforcement authorities, practitioners, academics, policymakers and legal advisers, not only in Malaysia but also elsewhere. The findings of this paper also highlight the risks that bankers may face for non-compliance with the reporting obligations under the AML laws.

This paper seeks to examine the relationship between board composition and firm performance using a board‐level aggregation variable.

This study uses linear regression to analyze the relationship between board role typology and firm performance using a panel data set of 277 non‐financial listed Malaysian firms over the period 2002‐2007.

The empirical results show that firm‐boards with a high representation of outside and foreign directors are associated with better performance compared to those firm‐boards that have a majority of insider executive and affiliated non‐executive directors.

The findings seem to imply that in widely owned firms a higher proportion of outsiders on the board reduces under‐investment and agency problems, which has significant economic implications.

This is the first study to use a board‐level aggregation variable to demonstrate the impact of boards' resourcefulness on firm performance.