Digital Transformation and Artificial Intelligence in Aviation Management: A Systematic Review of Emerging Trends and Business Implications

Digital transformation and artificial intelligence (AI) are transforming the aviation management field by improving its operations, safety, and decision-making. The current study is a systematized review of current literature aimed at investigating the new trends, approaches, and business implications of AI integration in the aviation business. Fifteen peer-reviewed articles were sampled and discussed using predetermined inclusion criteria. Review of literature reveals that the major areas of application are aviation safety, predictive maintenance, air traffic management, and workforce transformation. The findings demonstrate a prevalent application of machine learning and deep learning techniques in anomaly detection, forecasting, and decision support systems. Nevertheless, there are still certain issues associated with data quality and ethical considerations, as well as system integration, which can hinder the effectiveness of AI applications in these fields, such as biases in data leading to inaccurate predictions and challenges in ensuring compliance with ethical standards. The paper concludes that the digital transformation brought about by AI can be very promising in terms of innovation and efficiency, but strategic adoption and regulatory compatibility are of paramount importance to make the implementation sustainable .