Title :
Employing patent data to measure automobile components suppliers´ knowledge creation
Author :
Lin Yan ; Cao Ru
Author_Institution :
Sch. of Manage., Dalian Maritime Univ., Dalian, China
Abstract :
In the auto manufacturing industry, the upstream components suppliers´ knowledge creation not only is important for themselves, but also impacts the downstream manufacturers. Therefore, measure methods to the suppliers´ knowledge creation are pivotal to research in this context. This paper succeeds to traditional measurement that use patent data as proxy, and applies this method to components suppliers of the autos. Three indicators based on patent data have been constructed: patent count (PATENTS), relative citation ratio (RCR), and citation weighted patents (CWP). Our results show that Patents and RCR are both reasonable indicators to measure supplies´ knowledge creation. This finding echoes other researchers who found the similar conclusion within auto makers. Therefore, in auto manufacturing industry, both auto makers and suppliers can use uniform method to measure knowledge creation activities, which lays steady foundation for research on knowledge management within the auto manufacturing supply chain.
Keywords :
automobile industry; automobile manufacture; knowledge management; patents; supply chains; CWP; PATENTS; RCR; auto manufacturing industry; auto manufacturing supply chain; automobile component supplier knowledge creation measurement method; citation weighted patents; downstream manufacturers; knowledge management; patent data count; relative citation ratio; upstream component supplier knowledge creation; Analytical models; Automobiles; Indexes; Industries; Patents; Production; auto manufacturing industry; knowledge creation; measure indicators; patent data; supply chain;
Conference_Titel :
Management Science and Engineering (ICMSE), 2012 International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4673-3015-2
DOI :
10.1109/ICMSE.2012.6414326