Revealing Technology Innovation, Competition and Cooperation of Self-Driving Vehicles From Patent Perspective

Abstract

Self-driving vehicle (SDV) has become a new driving force in the automotive industry, but no scholars have yet to dig deep into the competitive technology intelligence in the SDV field. Therefore, this study analyzes technology, competition and cooperation from the perspective of global patents, aiming to provide a reference to governments, enterprises and research institutions to grasp the competition situation and timely find the new investment opportunities. In this study, the Derwent Innovation Index (DII) is selected as the data source, the Jaccard index instead of the International Patent Classification (IPC) co-occurrence frequency is used to reflect the technical correlation, Relative Technology Advantage (RTA) index and the International Business Potential (IBP) are used to represent the competition among enterprises, and multiple network indicators, including macro and micro, are used to measure cooperation. The results show that: 1. Vehicle control system is the most critical technology in SDV field; 2. Different types of companies show different competitive advantages. Auto manufacturing companies rely on their strong comprehensive strength to maintain their position, but component suppliers are most likely to become a powerful group to shake the existing industry order. 3. As far as global cooperation is concerned, the partnership led by core leaders is taking shape, but it is still in the early stage.

Technical Trends and Competitive Situation in Respect of Metahuman—From Product Modules and Technical Topics to Patent Data

“…The DII database is a powerful tool for searching worldwide invention patent information and has unique characteristics, in that it takes a series of measures when including patent data from various countries, for the purpose of improving the comprehensiveness and accuracy of patent searches [61]. In this study, cross-country analysis using the DII database [62][63][64] provided references for retrieving patents from the DII database for the comparative analysis of countries and guaranteed that the mainstream technical direction and research results provided would be of use to the greatest extent.…”

Exploring the Evolution and Determinants of Open Innovation: A Perspective from Patent Citations

“…However, the storm of digitization and intellectualization in recent years has forced them to cope with the dual dilemmas caused by innovation and cost. On the other hand, ICT companies have joined the R&D of DAS with their expertise in automatic control systems, V2X software, and Internet infrastructure [33]. In this situation, the transition from the traditional linear value chain to the open innovation network is becoming a new trend.…”

Managing artificial intelligence in international business: Toward a research agenda on sustainable production and consumption

“…The combinative approach enables managers to develop solutions to self-analyze, proactively report problems, and take real-time corrective action (Gooderham et al, 2022). Recent empirical evidence shows that configuring autonomous vehicles requires many AI solutions, and not all resources are owned by focal firms (Ji et al, 2020). Therefore, managers must combine their existing AI resources with external ones to produce and sell autonomous vehicles in international markets.…”