Abstract
Autonomous trucks can potentially have a huge impact on supply chain networks. Though gaining a lot of attention in the industry, the topic has gained sparse interest from academia. This paper sets out to answer the question: What factors could potentially predict autonomous truck adoption? Though it is inherently difficult to make predictions for the future, we have conducted scenario analysis based on input from key experts in the field. Our findings suggest that technological maturity and regulation will be the two most important factors to observe, while also being very uncertain.
Original language | English |
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Title of host publication | Proceedings of the 53rd Hawaii International Conference on System Sciences |
Number of pages | 6 |
Place of Publication | Honolulu |
Publisher | Hawaii International Conference on System Sciences (HICSS) |
Publication date | 2020 |
Pages | 4534-4539 |
ISBN (Print) | 9780998133133 |
DOIs | |
Publication status | Published - 2020 |
Event | 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 - Grand Wailea, Maui, United States Duration: 7 Jan 2020 → 10 Jan 2020 Conference number: 53 https://scholarspace.manoa.hawaii.edu/handle/10125/63576 |
Conference
Conference | 53rd Annual Hawaii International Conference on System Sciences, HICSS 2020 |
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Number | 53 |
Location | Grand Wailea |
Country/Territory | United States |
City | Maui |
Period | 07/01/2020 → 10/01/2020 |
Internet address |
Series | Proceedings of the Annual Hawaii International Conference on System Sciences |
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ISSN | 1060-3425 |