How to create commercial value from patents: the role of patent management
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines the relationship between patent management and indicators of a firm's financial and patenting performance. The empirical analyses are based on a sample of 158 technology‐based firms from the United States and Germany across multiple industries. The results show that two important dimensions of patent management, specifically patent protection management and patent information management, are positively correlated with a firm's level of financial profitability and the strategic and financial impact of its patent portfolio. This implies that patent protection and information management are important managerial capabilities of the firm that determine the level of value it can create from patents. We further find that a firm's technology strategy moderates the relationship between patent protection management and firm performance; it does, however, not moderate the relationship between patent information management and firm performance. Hence, the effectiveness of certain managerial capabilities on value creation from patents are contingent upon specific boundary conditions. Our findings have implications for improving firm performance through patent management.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it