Independent Researcher.
Research Article
World Journal of Advanced Research and Reviews, 2022, 16(02), 1304-1309
Received on 26 September 2022; revised on 21 November 2022; accepted on 27 November 2022
With the increased expansion of business aviation comes sophisticated safety problems that require different approaches to management. While the traditional Safety Management Systems, or SMS, have helped lower incidents, the use of predictive analytics events suggests a more intuitive strategy to risk evaluation and management. This research focuses on the integration of predictive analytics within business aviation safety management frameworks to boost operational safety. A quantitative methodology was employed, and a total of 100 structured questionnaires were distributed to a selected sample of pilots, safety and operational managers, and operational personnel from selected business aviation companies. Findings are presented using frequency and percentage distributions, with interpretations underscoring the significant role of predictive tools in safety return on investments. Findings show that predictive analytics effective improve risk assessment, enhance operational insight, and decrease incidents, thus fortifying the SMS structure.
Predictive Analytics; Safety; Management; Business Aviation
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Ahamba-Olorunsola Adaku Blessing. Integrating predictive analytics into safety management frameworks in business aviation. World Journal of Advanced Research and Reviews, 2022, 16(2), 1304-1309. Article DOI: https://doi.org/10.30574/wjarr.2022.16.2.1148