Learning from Past in the Commercial Air Transport Industry: A Bibliometric Analysis and Systematic Literature Review in the Safety Management Framework
{"title":"Learning from Past in the Commercial Air Transport Industry: A Bibliometric Analysis and Systematic Literature Review in the Safety Management Framework","authors":"Alok Tyagi, Rajesh Tripathi, Soufiane Bouarfa","doi":"10.58940/2374-6793.1838","DOIUrl":null,"url":null,"abstract":"In the commercial air transport industry, numerous accidents have occurred because stakeholders have failed to learn lessons from the past. The reactive hazard identification (HI) methodology in the current regulatory safety management framework provides a fresh opportunity to negotiate the challenges of the air transportation sector's predicted growth and societal safety expectations. In the regulatory framework, ‘learning from the past’ is related to the reactive method of HI, and it is viewed as a data-driven decision-making process in this review. This literature review aims to investigate academic literature on ‘learning from the past’ in the aviation industry to comprehend an overview and identify the gaps in the scholarly approaches and regulatory provisions. The data sources for the review comprise the research articles indexed in Scopus and Web of Science databases from 2000 to July 2023. This review follows a mixed methodology consisting of a bibliometric analysis using an R tool to develop a broad understanding and, for specific gap identification, a systematic literature review in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. All 283 studies are included in the bibliometric analysis, while only 24 studies are found eligible based on the predefined inclusion/exclusion criteria for systematic review. The results reveal that ‘learning from the past’ has not been explored as a data-driven decision-making process for HI in aviation industry settings. The stagewise barriers in the learning process and the impact of each stage on overall learning remain unexplored. The regulatory provisions associated with safety information from aviation activities' resilient (positive) outcomes for learning from the past purpose, organizational safety culture, and harmonization with the criminal justice system are vulnerable.","PeriodicalId":13807,"journal":{"name":"International Journal of Aviation, Aeronautics, and Aerospace","volume":"16 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Aviation, Aeronautics, and Aerospace","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58940/2374-6793.1838","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
In the commercial air transport industry, numerous accidents have occurred because stakeholders have failed to learn lessons from the past. The reactive hazard identification (HI) methodology in the current regulatory safety management framework provides a fresh opportunity to negotiate the challenges of the air transportation sector's predicted growth and societal safety expectations. In the regulatory framework, ‘learning from the past’ is related to the reactive method of HI, and it is viewed as a data-driven decision-making process in this review. This literature review aims to investigate academic literature on ‘learning from the past’ in the aviation industry to comprehend an overview and identify the gaps in the scholarly approaches and regulatory provisions. The data sources for the review comprise the research articles indexed in Scopus and Web of Science databases from 2000 to July 2023. This review follows a mixed methodology consisting of a bibliometric analysis using an R tool to develop a broad understanding and, for specific gap identification, a systematic literature review in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. All 283 studies are included in the bibliometric analysis, while only 24 studies are found eligible based on the predefined inclusion/exclusion criteria for systematic review. The results reveal that ‘learning from the past’ has not been explored as a data-driven decision-making process for HI in aviation industry settings. The stagewise barriers in the learning process and the impact of each stage on overall learning remain unexplored. The regulatory provisions associated with safety information from aviation activities' resilient (positive) outcomes for learning from the past purpose, organizational safety culture, and harmonization with the criminal justice system are vulnerable.
在商业航空运输业,由于利益相关者未能从过去吸取教训,已经发生了许多事故。当前安全管理监管框架中的反应性危险识别(HI)方法为航空运输业的预期增长和社会安全期望带来的挑战提供了新的谈判机会。在监管框架中,“从过去学习”与HI的反应性方法有关,在本综述中,它被视为数据驱动的决策过程。本文献综述旨在调查航空业“从过去学习”的学术文献,以了解概述并确定学术方法和监管规定中的差距。本综述的数据来源包括2000年至2023年7月在Scopus和Web of Science数据库中检索的研究文章。本综述采用了一种混合方法,包括使用R工具进行文献计量分析以获得广泛的理解,以及根据系统综述和元分析(PRISMA)指南的首选报告项目进行系统文献综述,以确定具体的差距。所有283项研究都纳入了文献计量学分析,而根据系统评价的预定义纳入/排除标准,只有24项研究符合条件。结果表明,“从过去学习”尚未被探索为航空工业背景下高绩效的数据驱动决策过程。学习过程中的阶段障碍以及每个阶段对整体学习的影响仍未被探索。与航空活动的安全信息相关的监管规定是脆弱的,这些信息来自于从过去的目的中学习的弹性(积极)成果、组织安全文化以及与刑事司法系统的协调。
期刊介绍:
The International Journal of Aviation, Aeronautics, and Aerospace (IJAAA) is a peer-reviewed publication for scholars from a variety of backgrounds including educators, industry personnel, and government researchers. The editorial focus is on the global issues that are currently facing the aviation, aeronautics, and aerospace segments. Example subject areas that would be appropriate for inclusion in the journal are: Underrepresented groups in aviation/aerospace Current aviation problems and solutions (e.g. NextGen, airport delays) Space launch and operations/missions Air traffic control Aeronautical engineering Unmanned systems Government research in aviation/aerospace Sciences, Technology, Engineering, and Mathematics (STEM) education Crew and general resource management Aviation/aeronautics/aerospace primary, secondary, and higher education Aviation/aerospace manufacturing Aviation/aerospace safety Aviation/aerospace security Aviation/aerospace training Aviation/aerospace education Aviation/aerospace meteorology Aviation/aerospace navigation and avionics systems Aviation/aerospace maintenance Aviation/aerospace finance and management Aviation/aerospace logistics Aviation/aerospace legislation and regulation Aviation/aerospace medicine