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| Content Provider | Springer Nature Link |
|---|---|
| Author | Khachatryan, Davit Muehlmann, Brigitte |
| Copyright Year | 2017 |
| Abstract | Finding out the characteristics of patent applications that lead to successful grants is an important and yet under-investigated topic in the scientometric literature. Using data from financial fraud-related patent applications submitted to the United States Patent and Trademark Office (USPTO), this study aims to determine which factors that can be influenced by inventors relate to successful patent grants. A descriptive statistical model is proposed to estimate the likelihood of a patent document being granted by the USPTO based on a number of explanatory variables. The following factors are among the notable statistically significant determinants for the studied patent sample: number of drawings, drafting aggressiveness, proportion of granted patent prior art references, proportion of web-based non-patent literature references, subclass specialization, and representation by a patent attorney or agent. The implications of these empirical findings are discussed in the context of entrepreneurship. |
| Starting Page | 1353 |
| Ending Page | 1383 |
| Page Count | 31 |
| File Format | |
| ISSN | 01389130 |
| Journal | Scientometrics |
| Volume Number | 111 |
| Issue Number | 3 |
| e-ISSN | 15882861 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2017-03-18 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Financial fraud Technological innovation Intellectual property Entrepreneurship Statistical modeling USPTO Information Storage and Retrieval Library Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Computer Science Applications |
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