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

IF 4.1 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

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.

查看原文本刊更多论文

人工智能生成的航空运输新兴技术 SWOT 分析：潜力和局限性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Research in Transportation Business and Management Multiple-

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