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1.

Financial risk early warning of airlines based on convolutional neural network models Pages 115-128 Right click to download the paper Download PDF

Authors: Yang Wang, Xuanxuan Li

DOI: 10.5267/j.ac.2025.9.004

Keywords: Airlines, Financial risk, Financial risk early warning, Convolutional Neural Networks

Abstract:
Aviation transportation, as the aerial corridor supporting the global economic operation, has become increasingly significant in the post-pandemic recovery phase. However, beneath the industry prosperity lie numerous risks and challenges. This paper initially elaborates systematically on the rationale for selecting CNN models for conducting research on financial risk early warning, followed by the choice of publicly listed airlines in the A-share market, thereby establishing samples for financial risk early warning and financial health. Subsequently, through differential testing of these two sample categories, suitable financial risk early warning indicators tailored for airlines are scientifically and systematically sifted out. Moreover, to address issues such as the different dimensions of indicator data, the imbalance in the number of sample categories, and dataset partitioning, data preprocessing efforts are undertaken. Finally, the processed data is fed into the CNN model for training, followed by an assessment and analysis of its early warning efficacy.
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Journal: AC | Year: 2026 | Volume: 12 | Issue: 2 | Views: 53 | Reviews: 0

 
2.

The impact of corporate social responsibility on customer loyalty: Empirical study for the case of Vietnam Airlines Pages 943-950 Right click to download the paper Download PDF

Authors: Thu Anh Hoang

DOI: 10.5267/j.ac.2020.8.002

Keywords: Airlines, CSR, Customer loyalty, Vietnam

Abstract:
The objective of this study is to investigate the impact of corporate social responsibility (CSR) on customer loyalty in the case of Vietnam Airlines, the flag carrier in Vietnam, in which CSR is a multi-dimensional construct including economic, legal, ethical, philanthropic and environmental responsibilities. The study was accomplished by implementing a survey on a sample of 370 Vietnamese passengers using 24 Likert-type items drawn from theoretical literature. The multiple regression model was applied to analyze the impact of five latent independent variables on the dependent variable - customer loyalty. The results indicate that for the case of Vietnam Airlines, all five CSR dimensions significantly and positively affect customer loyalty and legal responsibility should be emphasized as the most important dimension. The findings convey practical implications for airlines to boost customer loyalty by identifying relevant CSR dimensions on which airlines should focus in their corporate strategy.
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Journal: AC | Year: 2020 | Volume: 6 | Issue: 6 | Views: 3365 | Reviews: 0

 

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