AI-generated SWOT analysis of emerging technologies in air transportation: Potential and limitations

IF 4.4 2区 工程技术 Q2 BUSINESS Research in Transportation Business and Management Pub Date : 2025-02-12 DOI:10.1016/j.rtbm.2025.101316
Richard Klophaus
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引用次数: 0

Abstract

Air transportation is undergoing a transformative phase with emerging technologies that are expected to revolutionize the industry. This paper employs artificial intelligence (AI) to conduct a comparative SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of key emerging technologies within the domain of air transportation. The technologies under consideration are urban air mobility (UAM), unmanned aerial vehicles (UAVs), electric aircraft, supersonic aircraft, and sustainable aviation fuels (SAFs). Automated SWOT analysis holds the potential to release cognitive resources for more challenging tasks and mitigate subjectivity—a commonly raised critique regarding traditional SWOT analysis. It turns out that AI-generated SWOT analysis yields meaningful content, which should be of interest for industry stakeholders concerned with the future course of air transportation. The paper also discusses the limitations of this approach.
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人工智能生成的航空运输新兴技术 SWOT 分析:潜力和局限性
航空运输正在经历一个变革阶段,新兴技术有望彻底改变这个行业。本文采用人工智能(AI)对航空运输领域的关键新兴技术进行了SWOT(优势、劣势、机会、威胁)比较分析。被考虑的技术包括城市空中交通(UAM)、无人驾驶飞行器(uav)、电动飞机、超音速飞机和可持续航空燃料(SAFs)。自动化SWOT分析有可能释放认知资源,用于更具挑战性的任务,并减轻主观性——这是对传统SWOT分析的普遍批评。事实证明,人工智能生成的SWOT分析产生了有意义的内容,对于关注航空运输未来进程的行业利益相关者来说,这应该是感兴趣的。本文还讨论了这种方法的局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.10
自引率
8.30%
发文量
175
期刊介绍: Research in Transportation Business & Management (RTBM) will publish research on international aspects of transport management such as business strategy, communication, sustainability, finance, human resource management, law, logistics, marketing, franchising, privatisation and commercialisation. Research in Transportation Business & Management welcomes proposals for themed volumes from scholars in management, in relation to all modes of transport. Issues should be cross-disciplinary for one mode or single-disciplinary for all modes. We are keen to receive proposals that combine and integrate theories and concepts that are taken from or can be traced to origins in different disciplines or lessons learned from different modes and approaches to the topic. By facilitating the development of interdisciplinary or intermodal concepts, theories and ideas, and by synthesizing these for the journal''s audience, we seek to contribute to both scholarly advancement of knowledge and the state of managerial practice. Potential volume themes include: -Sustainability and Transportation Management- Transport Management and the Reduction of Transport''s Carbon Footprint- Marketing Transport/Branding Transportation- Benchmarking, Performance Measurement and Best Practices in Transport Operations- Franchising, Concessions and Alternate Governance Mechanisms for Transport Organisations- Logistics and the Integration of Transportation into Freight Supply Chains- Risk Management (or Asset Management or Transportation Finance or ...): Lessons from Multiple Modes- Engaging the Stakeholder in Transportation Governance- Reliability in the Freight Sector
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