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International Journal of Automotive Technology and Management最新文献

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Patterns of green innovation in the automotive industry: empirical evidence from OECD countries 1990-2018 汽车行业绿色创新模式:来自经合组织国家1990-2018年的经验证据
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10048840
P. P. Patrucco, Anna Novaresio
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引用次数: 0
Towards the factory 4.0 Convergence and divergence of lean models in Italian automotive plants 迈向工厂4.0:意大利汽车工厂精益模式的趋同与分化
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10048321
Angelo Moro, M. Virgillito
This paper studies the interplay in terms of techno-organisational change between the adoption of I4.0 technologies and lean production systems. Leveraging on the results of two field-work analyses conducted under a collaboration with the Sabattini Foundation and the metal workers trade union FIOM in the period 20162018, we compare an ensemble of factories producing both high-end/highly customised and low-end products. Emerging patterns of convergence and divergence in the techno-organisational configurations of these factories confirm that this wave of technological innovation is far from leading to total automation or the digital revolution. On the contrary, it appears to be integrated into the historical trend of “leanification” of production processes in the automotive sector, despite the organisational variety shaped by the actual implementation of this production model.
本文研究了采用工业4.0技术与精益生产系统之间的技术-组织变革的相互作用。利用与萨巴蒂尼基金会和金属工人工会FIOM在2016年至2018年期间合作进行的两次实地工作分析的结果,我们比较了生产高端/高度定制和低端产品的工厂。这些工厂的技术组织配置中出现的趋同和分化模式证实,这波技术创新远未导致全面自动化或数字革命。相反,它似乎融入了汽车行业生产过程“精益化”的历史趋势,尽管这种生产模式的实际实施形成了组织多样性。
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引用次数: 2
Fostering entrepreneurial competencies for business model innovation 培养创新商业模式的创业能力
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10045209
Benedict Seiferlein, Oliver Gernsheimer, D. Kanbach
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引用次数: 0
Why Industry 4.0 is not enhancing national and regional resiliency in the global automotive industry 为什么工业4.0没有增强全球汽车工业的国家和地区弹性
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.122139
Jeffrey Carey, Greig Mordue
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引用次数: 1
Changes in productivity and labour relations: Artificial Intelligence in the automotive sector in Portugal 生产力和劳资关系的变化:葡萄牙汽车行业的人工智能
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10046022
A. Moniz, N. Boavida, Marta Candeias
: New technologies, sustainability policies, protectionism and consumers preferences are pushing for the reorganisation of the automotive cluster. The emergence of artificial intelligence (AI) has the potential to create disruptive effects in the employment systems across the world. The future deployment of broad-spectrum algorithms capable of being used in wide areas of application (e.g., industrial robotics, software and data communication) can lead to considerable changes in current work patterns, swiftly render many unemployed across the globe and profoundly destabilise labour relations. In this paper, we identify the probable penetration of AI in the automotive sector and to study its effects on work organisation, employment, and industrial relations systems, in Portugal. These changes are put in place to enhance the product quality, control costs, and improve productivity. We study these implications on productivity and industrial relations collecting new data and obtain results based on secondary statistical analyses and case studies in the automotive industry. Finally, changes in the productivity and labour market will be discussed considering the employment and skills changes in the automotive sector when investment on automation becomes a clear trend in the automotive sector. and His recent research interests involve artificial intelligence, technology assessment, labour and employment. This paper is a revised and expanded version of a paper entitled ‘Changes in productivity and labour relations: artificial intelligence in the automotive sector in Portugal’ presented at 29th GERPISA International Colloquium, Online, 14–18 June 2021.
新技术、可持续发展政策、保护主义和消费者偏好正在推动汽车产业集群的重组。人工智能(AI)的出现有可能对世界各地的就业系统产生破坏性影响。未来部署能够用于广泛应用领域的广谱算法(例如工业机器人、软件和数据通信)可能导致当前工作模式发生重大变化,迅速使全球许多人失业,并深刻地破坏劳资关系的稳定。在本文中,我们确定了人工智能在汽车行业的可能渗透,并研究了其对葡萄牙工作组织、就业和劳资关系系统的影响。实施这些变更是为了提高产品质量、控制成本和提高生产率。我们通过收集新数据来研究这些对生产率和劳资关系的影响,并基于汽车行业的二次统计分析和案例研究获得结果。最后,当自动化投资成为汽车行业的明显趋势时,考虑到汽车行业的就业和技能变化,将讨论生产率和劳动力市场的变化。近期主要研究方向为人工智能、技术评估、劳动就业等。本文是一篇题为“生产力和劳资关系的变化:葡萄牙汽车行业的人工智能”的论文的修订和扩展版本,该论文于2021年6月14日至18日在第29届GERPISA国际研讨会上在线发表。
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引用次数: 1
Does Industry 4.0 improve productivity Evidence from the Italian automotive supply chain 工业4.0能提高意大利汽车供应链的生产率吗
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10050600
G. Falavigna, G. Calabrese
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引用次数: 0
Specialised vertical integration: The value-chain strategy of EV lithium-ion battery firms in China 专业化垂直整合:中国电动汽车锂离子电池企业的价值链战略
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10048322
J. Ruet, Zhao Wei, Xieshu Wang
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引用次数: 1
Fostering entrepreneurial competencies for business model innovation - the case of Audi Denkwerkstatt 培养商业模式创新的企业家能力——以奥迪汽车公司为例
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.126821
Benedict Seiferlein, Oliver Gernsheimer, D. Kanbach
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引用次数: 0
Emerging models of networked industrial policy: recent trends in automotive policy in the USA and Germany 网络化产业政策的新兴模式:美国和德国汽车政策的最新趋势
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10046203
Elena Goracinova, Patrick F. Galvin, David A. Wolfe
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引用次数: 0
Agents and artefacts in the emerging electric vehicle space 新兴电动汽车领域的代理商和人工制品
Q2 Engineering Pub Date : 2022-01-01 DOI: 10.1504/ijatm.2022.10047489
Pasquale Pavone, Jorge Carreto Sanginés, Giovanni Bonifati, F. Alboni, M. Russo, A. Simonazzi
Subsequent to COP 21, the targets for reducing CO2 emissions have boosted the commitment of governments and companies to developing alternative technologies for the mobility of people and goods. Electric vehicles are at the heart of this transformation, which is profoundly affecting the characteristics of agents and artefacts. The aim of the paper is to identify the relevant domains of this transformation, and to identify what characterizes the space of the agents and artefacts of the electric vehicle and their interactions, as oriented by the public policies promoted by the various countries. The paper presents the results of a multidimensional textual analysis of the news published in English by electrive.com, a daily newsletter covering a wide range of relevant information on developments in electric transport in Europe and beyond. These re-sults are a preliminary step for the analysis of the social, economic, organizational and technological changes related to sustainable mobility.
在第21届缔约方会议之后,减少二氧化碳排放的目标促使政府和公司致力于开发人员和货物流动的替代技术。电动汽车是这一转变的核心,它深刻地影响着代理人和人工制品的特性。本文的目的是确定这种转变的相关领域,并确定电动汽车的代理人和人工制品及其相互作用的空间特征,以各国推动的公共政策为导向。本文介绍了对electrive.com英文新闻的多维文本分析结果,electrive.com是一份涵盖欧洲及其他地区电力运输发展的广泛相关信息的每日通讯。这些结果是分析与可持续交通相关的社会、经济、组织和技术变化的初步步骤。
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引用次数: 2
期刊
International Journal of Automotive Technology and Management
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