The Development of Alternative Powertrain Technologies within Automotive Innovation Networks: A two-stage Network Analysis

M. Gabel, B. Neyer, P. Borgstedt, G. Schewe
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引用次数: 2

Abstract

The current simultaneous development of different alternative powertrain technologies is a complex and expensive challenge for the whole automotive industry. As high risks and costs can be shared and complementary core competencies can be combined, innovation networks gain importance. Since little is known about these networks, we address the following research question: What are the structural and strategic characteristics of innovation networks regarding the different powertrain technologies? Based on our PICMET 2016 Conference paper, our study contributes to the scientific discussion on patent and network analyses in different ways: (1) We show an elaborate search strategy using IPC classes and keywords in order to generate a valid patent dataset for the four major powertrain technologies: BEV, FCEV, HEV, and ICEV. The dataset consists of 3,140 bilateral connections between OEMs, suppliers and companies from other industries for the years 1990–2013. (2) We apply a rigorous methodological approach within a two-stage network analysis using a multitude of network measures. Within this analysis, we assess both the macro-perspective of the four technologies' networks (stage 1) and the micro-perspective of central and important companies within each network (stage 2). By differentiating the network structures, we highlight different approaches used by the companies and thereby extend the understanding of cooperation within the automotive supply chain. On the macro-level, the main results show significant structural differences between the analyzed networks. On the micro-level of company activities, we find strong vertical, horizontal and lateral cooperation. Furthermore, we identify the central network positions of key players.
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汽车创新网络中替代动力总成技术的发展:两阶段网络分析
当前,不同替代动力总成技术的同步发展对整个汽车行业来说是一项复杂而昂贵的挑战。由于高风险和高成本可以共享,互补的核心能力可以结合,创新网络变得重要起来。由于对这些网络知之甚少,我们解决了以下研究问题:关于不同动力总成技术的创新网络的结构和战略特征是什么?基于我们的PICMET 2016会议论文,我们的研究以不同的方式为专利和网络分析的科学讨论做出了贡献:(1)我们展示了一个使用IPC类和关键词的详细搜索策略,以便为四种主要的动力总成技术:BEV, FCEV, HEV和ICEV生成有效的专利数据集。该数据集包括1990年至2013年期间oem、供应商和其他行业公司之间的3140个双边联系。(2)我们在使用多种网络测量的两阶段网络分析中应用严格的方法方法。在本分析中,我们评估了四种技术网络的宏观视角(阶段1)和每个网络中核心和重要公司的微观视角(阶段2)。通过区分网络结构,我们强调了公司使用的不同方法,从而扩展了对汽车供应链内合作的理解。在宏观层面上,主要结果显示所分析网络之间存在显著的结构差异。在公司活动的微观层面上,我们发现了强大的纵向、横向和横向合作。此外,我们确定了关键参与者的中心网络位置。
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