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STRATEGIC PLANNING FOR GOOGLE'S AUTONOMOUS VEHICLE TECHNOLOGY BASED ON PATENT ANALYSIS

机译:基于专利分析的Google自主车辆技术战略规划

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It would be reasonable to indicate that autonomous vehicle technology significantly affects the traditional automotive industry and other related industries. However, it is much more challenging to make a complete transformation of this effect than moving from the electric car. The study includes investigation of different perspectives with SWOT analysis for the autonomous driving impact. The research combines Patent analysis and Social Network Analysis (SNA) to devise an essential tool for strategic planning to reveal the implicit R&D partnerships and explicit strategies in the company level. The case study shows that the competitive and complementary interactions influence the formation of partnerships in the market. This study shows that the visualization in a sophisticated network setting provides abundant and unbiased analysis to high-quality decision-making. Based on the case study of Google's self-driving company Waymo. this study finds that Waymo's car should keep the best R&D for customer-oriented technology so that it can maintain continuous cooperation. Secondly, one should identify niche areas before the large-scale transformation, such as public transport: disable people usage: for campus or indoor-closed area use. Thirdly. Waymo shall provide users and collaborators self-driving car solution for sustaining ecosystem to expand to realize the economies of scale. The last but the most important is focusing on the R&D activities in critical technologies to achieve more core patents.
机译:表明自主车辆技术显着影响传统汽车工业和其他相关行业是合理的。然而,除了从电动车移动时,可以完全改造这种效果是更具挑战性。该研究包括对自主驱动局部的SWOT分析进行不同观点的调查。该研究将专利分析和社会网络分析(SNA)结合起来设计了战略规划的基本工具,以揭示本公司水平的隐性研发伙伴关系和明确策略。案例研究表明,竞争和互补的互动会影响市场的伙伴关系。本研究表明,复杂的网络设置中的可视化提供了对高质量决策的丰富和无偏见的分析。基于谷歌自行车公司Waymo的案例研究。这项研究发现,Waymo的汽车应该为客户为导向的技术保持最好的研发,以便保持持续合作。其次,一个人应该在大规模转型之前确定利基地区,如公共交通工具:禁用人员使用:校园或室内闭合区域使用。第三。 Waymo应为用户和合作者提供自动驾驶汽车解决方案,以便维持生态系统扩展以实现规模经济。最后但最重要的是专注于关键技术中的研发活动,以实现更多核心专利。

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