已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Exploring the automotive transition: A technological and business model perspective

汽车工业 动力传动系统 商业模式 服务(商务) 过程(计算) 电动汽车 电动汽车 计算机科学 业务 工程类 营销 功率(物理) 物理 扭矩 量子力学 热力学 航空航天工程 操作系统
作者
David S. Ziegler,Nizar Abdelkafi
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:421: 138562-138562
标识
DOI:10.1016/j.jclepro.2023.138562
摘要

The automotive industry is currently undergoing a radical transition. This transition is a complex process that depends on many factors, especially technologies and business models. This process started many years ago, but it is still associated with a high uncertainty level. With regards to powertrain technologies, it is not clear which technology will be dominant in the future. Will it be the Battery Electric Vehicle (BEV) or the hydrogen-based Fuel Cell Electric Vehicle (FCEV) that will achieve a higher level of diffusion? Regarding business models, despite extensive research, the business models that will support the automotive transition are far from clear. Therefore, this research, based on a two-stage interview study, addresses both perspectives: technology and business model. Three possible options for powertrain technologies are identified: (i) coexistence of BEVs and FCEVs, (ii) BEVs, but conditional introduction of FCEVs, and (iii) BEVs only without FCEVs. In addition, the results show that business model innovation in the automotive industry can be driven by many aspects such as management vision, market, competition, future trends, battery, charging technology and infrastructure, as well as digital technologies and services. By combining the powertrain technology and business model dimensions, four future scenarios for the automotive transition are proposed: simply BEV, technology diversification, service-oriented BEV production, and maximum versatility. An expert evaluation allows the scenarios to be prioritized according to their likelihood of occurrence. The results show that the service-based BEV-scenario is the most likely one. Nevertheless, the differences between most and least likely scenarios are not large enough to disclose a clear trend, confirming the diffuse situation in the industry.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
萧水白应助张小北采纳,获得10
5秒前
orixero应助zxf采纳,获得10
5秒前
8秒前
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
梁朝伟应助科研通管家采纳,获得20
9秒前
领导范儿应助科研通管家采纳,获得10
9秒前
9秒前
12秒前
12秒前
12秒前
喜悦发布了新的文献求助10
14秒前
骆十八发布了新的文献求助30
15秒前
15秒前
16秒前
chelyris应助ukulele117采纳,获得50
17秒前
18秒前
xianlu发布了新的文献求助10
18秒前
无限的猕猴桃完成签到,获得积分10
20秒前
20秒前
Lucas应助欣喜沛芹采纳,获得10
21秒前
Bear发布了新的文献求助10
21秒前
yunibbo发布了新的文献求助30
23秒前
23秒前
23秒前
xiaodaiduyan发布了新的文献求助30
24秒前
平常的老六完成签到,获得积分10
25秒前
tong发布了新的文献求助10
27秒前
CipherSage应助未闻花名采纳,获得10
33秒前
今后应助zxn采纳,获得10
35秒前
lx33101128发布了新的文献求助10
35秒前
Miranda完成签到,获得积分10
36秒前
borkyy完成签到,获得积分20
39秒前
我是老大应助月青悠采纳,获得10
39秒前
喜悦完成签到,获得积分20
43秒前
陈陈陈发布了新的文献求助20
45秒前
47秒前
49秒前
bluelemon完成签到,获得积分10
49秒前
Akim应助nanami采纳,获得10
50秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
The Conscience of the Party: Hu Yaobang, China’s Communist Reformer 600
MATLAB在传热学例题中的应用 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3303018
求助须知:如何正确求助?哪些是违规求助? 2937280
关于积分的说明 8481600
捐赠科研通 2611169
什么是DOI,文献DOI怎么找? 1425747
科研通“疑难数据库(出版商)”最低求助积分说明 662425
邀请新用户注册赠送积分活动 646861