通过 COVID-19 事件后的主题建模和经验证据探索货物运输和物流业的数字化、复原力和可持续性挑战

IF 4.6 3区 管理学 Q1 BUSINESS IEEE Transactions on Engineering Management Pub Date : 2024-08-08 DOI:10.1109/TEM.2024.3433368
Yasanur Kayikci;Nachiappan Subramanian;Saravanan Kuppusamy
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引用次数: 0

摘要

COVID-19 大流行造成了前所未有的混乱,使货物运输和物流的规划与管理面临挑战。电子商务的发展给物流能力增加了相当大的压力,而应急计划的缺乏和局势信息的不明确又给获取必要物资带来了困难。在我们的研究中,我们开发了一种方法,将主题建模分析、半结构式专家访谈实证数据收集和变革理论概念相结合。这种方法旨在确定关键的关注领域,为每个确定的关键领域确定短期和长期的缓解措施,以便通过数字技术建立稳定性和解释机制,并提出切实可行的解决方案,通过一个强大的供应链框架建立弹性供应链。我们的综合方法准确评估了行业面临的挑战,强调了关键关注领域,并为后 COVID-19 时代的货物运输和物流行业提供了切实可行的解决方案。
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Exploring Digitalization, Resilience, and Sustainability Challenges in the Cargo Transportation and Logistics Industry Through Topic Modeling and Empirical Evidence in the Aftermath of COVID-19
The COVID-19 pandemic has resulted in unprecedented disruptions, making the planning and management of cargo transportation and logistics challenging. The growth of e-commerce has added considerable pressure to logistics capacities, while the lack of contingency planning and unclear information about the situation has made accessing necessary supplies difficult. In our research, we have developed an approach that combines topic modeling analysis, semistructured expert interviews for empirical data collection, and the concept of a theory of change. This approach aims to identify critical areas of concern, determine short- and long-term mitigation measures for each identified critical area for establishing stability and interpretive mechanisms through digital technologies, and propose practical solutions for establishing resilient supply chains through a robust supply chain framework. Our comprehensive approach provides an accurate assessment of the challenges faced by the industry, highlights the critical areas of concern, and offers practical solutions for the post-COVID-19 cargo transportation and logistics industry.
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来源期刊
IEEE Transactions on Engineering Management
IEEE Transactions on Engineering Management 管理科学-工程:工业
CiteScore
10.30
自引率
19.00%
发文量
604
审稿时长
5.3 months
期刊介绍: Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
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