Autonomous Trucks: A Supply Chain Adoption Perspective

Henrik Steen Sternberg, Haozhe Chen, Erik Hofmann, Günter Prockl

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 53rd Hawaii International Conference on System Sciences
Number of pages6
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2020
Pages4534-4539
ISBN (Print)9780998133133
DOIs
Publication statusPublished - 2020
EventThe 53rd Hawaii International Conference on System Sciences. HICSS 2020 - Grand Wailea, Maui, United States
Duration: 7 Jan 202010 Jan 2020
Conference number: 53
https://scholarspace.manoa.hawaii.edu/handle/10125/63576

Conference

ConferenceThe 53rd Hawaii International Conference on System Sciences. HICSS 2020
Number53
LocationGrand Wailea
CountryUnited States
CityMaui
Period07/01/202010/01/2020
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN1060-3425

Cite this

Sternberg, H. S., Chen, H., Hofmann, E., & Prockl, G. (2020). Autonomous Trucks: A Supply Chain Adoption Perspective. In Proceedings of the 53rd Hawaii International Conference on System Sciences (pp. 4534-4539). Honolulu: Hawaii International Conference on System Sciences (HICSS). Proceedings of the Annual Hawaii International Conference on System Sciences https://doi.org/http://hdl.handle.net/10125/64296