Business Model Development for Autonomous Electric Vehicles in Shared Fleets in Multinational Original Equipment Manufacturers (OEMs)
Lutz Göcke and
Philip Meier
Chapter 6 in Electric Vehicles in Shared Fleets:Mobility Management, Business Models, and Decision Support Systems, 2022, pp 125-144 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
This chapter addresses the two-fold challenge for multinational Original Equipment Manufacturers (OEMs) to develop/adapt business models to the disruptive technological developments associated with shared fleets of autonomous electric vehicles (SAEVs). The promises of SAEVs are to increase road safety, to decrease traffic congestion, to optimise energy consumption, and to convert parking areas into living spaces (e.g., houses, parks). The prediction for autonomous vehicles in the USA in 2045 varies between 24.8% and 87.2% (Bansel and Kockelman 2017). Diffusion of autonomous vehicles is not only dependent on the technological capabilities and the regulations but also on the business models designed to create and capture value. These business models are co-evolving with technologies, user preferences, infrastructures, and regulations into a new socio-technical system of mobility. The emerging socio-technical systems will vary by country or even by city. In order to cope with the differences, some OEMs are creating multinational fields of experimentation to identify suitable business models for a particular setting.
Keywords: Electric Vehicles; Shared Fleets; Carsharing; Mobility; Mobility Management; Business Models; Decision Support Systems; Information Systems (search for similar items in EconPapers)
JEL-codes: L9 M1 O31 O32 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9781800611429_0006 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9781800611429_0006 (text/html)
Ebook Access is available upon purchase.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781800611429_0006
Ordering information: This item can be ordered from
Access Statistics for this chapter
More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().