Patent analysis Presenter: Huang Ming-Chao Date: 06/25/2008 1 Highlight of Patent analysis The content of patent data Inventor Assignee Application/issued date IPC/UPC Reference/citation The unit of analysis Firm-year level (cross-section & time series) Patent level Firm level 2 The content of patent data Backward citation IPC UPC 3 Content Patent Analysis Firm-year level: Rosenkopf and Nerkar (SMJ, 2001) Firm level: Sampson (AMJ, 2007) Patent level: Millar, Fern & Cardinal (AMJ, 2007) Patent level: Phene, Fladmoe-Lindquist and Marsh (SMJ, 2006) Patent-based performance Impact (backward citation) Breakthrough innovation Patent spell Follow-on patenting 4 Patent analysis: Firm-year level 5 Rosenkopf and Nerkar (SMJ, 2001) Industry: optical disk industry Framework Technological domain (Within or beyond) Impact (domain or overall) Firm domain (Within or beyond) Technological boundary Organizational boundary 6 Rosenkopf and Nerkar (SMJ, 2001) Framework Backward citation Forward citation •Time frame: 1971-1995 Domain Impact Firm domain •USPTO database •22 firms •2,333 patents Firm-year Patent citations Technological domain •371 firm-year observations Overall Impact •Dependent variable: patent count (exclude self-citation) •Negative binomial regression 7 Patent analysis: Firm level 8 Sampson (AMJ, 2007) Industry: telecommunication equipment industry (SIC classes-3661, 3663 and 3669) Alliance type: bilateral contract and equity joint venture. Technological diversity Inverse U Innovation performance Alliance type Data SDC MicroPatent Time frame: 1991-1993 463 R&D alliances, 487 firms, 1,005 observations. Negative binomial regression 9 Sampson (AMJ, 2007) Technological diversity Dependent variable Post-alliance patents innovative performance via a count of citation-weighted firm patents in a 4-year post-alliance window, 10 Patent analysis: Patent level 11 Phene, Fladmoe-Lindquist and Marsh (SMJ, 2006) Industry: biotechnology industry Knowledge sourcing Technological space and geographic origin Theory or perspective Technological Technological Proximate distant knowledge knowledge Organizational learning Absorptive capacity Data Bioscan 87 firms, 707 patents, 5988 backward citations, 4117 forward citations 5,988 backward citation patents 707 focal patents Filed in 1988 by 87 firms 4,117 forward citation patents 12 Patent analysis: Patent level 13 Millar, Fern & Cardinal (AMJ, 2007) Knowledge sourcing (boundary of firm and its divisions) Intra-divisional knowledge sourcing negatively affects forward citation Extra-organizational citation (positive effect) Inter-divisional citation (positive effect) Data NBER (National Bureau of Economic Research Patent Citations Data File) MicroPatent Corporation Time frame: 1985-1996 1,644 firms 211,636 patents (observations) Unit of analysis: patent Negative binomial regression 14 Patent-based innovation performancePatent count Impact Rosenkopf and Nerkar (2001) Domain impact equals the number of citations from optical disk patents (that is, citing patents that were classified in any of our initial optical disk subclasses) received by firm i’s patents granted in year t. Overall impact is the total number of citations from non-optical disk patents received by firm i’s patents granted in year t. Breakthrough innovation Phene, Fladmoe-Lindquist and Marsh (2006) Forward citations, excluding self-citations. Every original patent has an equal 10-year time window for citations. (citations received) Top 2 percent of the sample (15 original patents out of the total of 707 patents) were identified as breakthrough innovations. 15 Patent-based innovation performancePersistent innovation Patent spell Alfranca, Rama and von Tunzelmann (Technovation, 2004) patent spells as periods of time during which the company innovates year after year without gaps in its activity. Follow-on patenting McGrath and Nerkar (SMJ, 2004) Taking out a second patent in a patent subclass that is new to the firm ( it has only one previous patent in a new technological areas that it had not patented in before). 16