AI and the Future of Work in Logistics: A Delphi Study on Workforce Transformation
AI being used in transportation is going to change the future of work by changing how people work together and how things are done. This Delphi study looks at how AI is changing transportation, focused on how it changes the work force and what the geopolitical effects are. This study combines ideas to shed light on how things are changing by carefully looking at the opinions of experts and predicted trends. When AI is used in transportation, big improvements are expected, such as more efficient operations, the ability to make predictions, and the ability to make decisions on its own. It is expected that these new ideas will make the supply chain more efficient, cut costs, and lower risks, making the whole system more flexible and strong. Along with these possibilities, though, there are worries about how AI will change established jobs and the need for more skills to fully use AI's potential. Key results show that experts agree on one thing: AI is the key to making all business tasks more efficient. One of the main benefits of AI is that it can automate boring chores like managing supplies, finding the best routes, and planning for future upkeep. Also, AI-powered data give you information in real time, which helps you make better decisions and adapt to changes in the market. The study finds important changes that need to happen in the workforce because of AI usage. It talks about the rise of new job categories, like AI system teachers, data scientists, and AI ethicists that need skills from a lot of different fields, like being good with technology and knowing a lot about the subject.
Authors
- Lalit Agrawal (ORCID: https://orcid.org/0000-0002-1364-9955)
- Shailesh Kediya (ORCID: https://orcid.org/0000-0002-2144-7800)
- Vandana Mohanty (ORCID: https://orcid.org/0000-0002-4023-1829)
- Ravi A. Kumar (ORCID: https://orcid.org/0000-0002-6041-0058)
- Aarti Kulkarni
- Mubina Mustafa Saifee (ORCID: https://orcid.org/0009-0007-9783-9273)
Institutions
- Symbiosis International University (IN)
- Institute of Environmental Studies & Wetland Management (IN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/idicaiei61867.2024.10842948
- Citations
- 5
- Primary Topic
- Digital Economy and Work Transformation
- Type
- article
- Field-Weighted Citation Impact
- 5.66