Boundary spanning innovation and the patent system: Interdisciplinary challenges for a specialized examination system

Whalen, Ryan

doi:10.1016/j.respol.2018.04.017

Cited by 37 publications

(16 citation statements)

References 33 publications

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“…Therefore, in the study of heterogeneity and innovation performance, the resource-based theory and social identity theory are strengthened and the view of conflict is weakened. This result shows the importance of boundary-spanning disciplines, which is consistent with the work of Whalen (2018) [48]. In addition, the application of leadership theory to innovation in the university is broadened.…”

Section: Theoretical Implicationssupporting

confidence: 84%

The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China

et al. 2019

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Interdisciplinary cooperation is an important way to achieve scientific innovation breakthrough. Currently, great scientific innovation often occurs in interdisciplinary areas. However, they still face challenges in relation to theoretical support and strategic choices. This paper identifies the extent to which interdisciplinary cooperation-induced heterogeneity affects team innovation performance in Chinese universities. The questionnaire survey is employed in this study and the samples selection covers a wide range of multidisciplinary or interdisciplinary collaboration. This study used Poisson regression analysis to create a new method to evaluate innovation performance. Then, the relationship between team heterogeneity and innovation performance was examined and the moderating role of transformational leadership was also introduced. The empirical results show that three independent variables (disciplinary heterogeneity, cognitive heterogeneity, and organisational heterogeneity) all had a significant positive effect on the team innovation performance. Transformational leadership has a significant positive effect on cognitive heterogeneity and innovation performance, but moderating effects did not appear to be seen in the other two relationships. Our study contributes to a deeper understanding of the value of interdisciplinary research collaboration.

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Section: Theoretical Implicationssupporting

confidence: 84%

The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China

et al. 2019

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“…After Yoon and Park's (2004) initial work on keywords, Gerken and Moehrle (2012) used semantic analysis to detect novelty, Preschitschek et al (2013) used it to study technology convergence, Khun and Thompson (2017) used word counts to analyse patent scope, and Bergeaud et al (2019) classified patent technologies using the semantic content of patent abstracts. Whalen (2018) uses semantic citation distance measures to illustrate an increase in "boundary spanning" inventions and identify the challenges they raise for patent offices. Closest to our work, DeGrazia et al (2019) apply semantic analysis to weight "triples" in their study on "vertical overlap" across patents (i.e., overlap across cumulative innovation).…”

Section: Semantic Analysismentioning

confidence: 99%

“…The left panel of These tests confirm that the average semantic distance between patents in set I -when both patents are from the same thicket-is significantly lower than for other sets. Depending on the 45 In some cases there was only one thicket in a patent group, which did not allow for a comparison between thickets, or this single thicket was smaller than 3 patents, which did not allow for comparison within a thicket. We have excluded such groups, and have reported instead the results for cases where the test could be performed.…”

Section: A3 Triples Network Density and Expert Evaluation Correlationsmentioning

confidence: 99%

Semantically-based patent thicket identification

et al. 2020

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Patent thickets have been identified as a major stumbling block in the development of new technologies, creating the need to accurately identify thicket membership. Various citations-based methodologies (Graevenitz et al, 2011;Clarkson, 2005) have been proposed, which have relied on broad survey results (Cohen et al, 2000) for validation. Expert evaluation is an alternative direct method of judging thicket membership at the individual patent level. While this method potentially is robust to drafting and jurisdictional differences in patent design, it is also costly to use on a large scale. We employ a natural language processing technique, which does not carry these large costs, to proxy expert views closely. Furthermore, we investigate the relation between our semantic measure and citation based measures, finding them quite distinct. We then combine a variety of thicket indicators into a statistical model to assess the probability that a newly added patent belongs to a thicket. We also study the role each measure plays, as part of creating a prospective screening model that could improve efficiency of the patent system, in response to Lemley (2001).

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“…Similarity patterns can, however, also be used as explanatory variables on the right side of the equation to describe or explain a certain outcome. Ryan Whalen, for instance, has used the textual similarity of the corpus of patent applications to describe change in innovation styles (Whalen, 2018). By using textual distance to weigh citations between patent applications, he found that recent patents increasingly cite inventions from textually different domains indicating a shift in how creative recombination contributes to innovation (Whalen, 2018).…”

Section: ) Deductive Pattern Recognitionmentioning

confidence: 99%

“…Ryan Whalen, for instance, has used the textual similarity of the corpus of patent applications to describe change in innovation styles (Whalen, 2018). By using textual distance to weigh citations between patent applications, he found that recent patents increasingly cite inventions from textually different domains indicating a shift in how creative recombination contributes to innovation (Whalen, 2018). Hence, automated text comparisons of large legal corpora can yield new, insightful weights and variables for deductive research design.…”

Section: ) Deductive Pattern Recognitionmentioning

confidence: 99%

Sense and similarity: automating legal text comparison

Alschner¹

2020

Computational Legal Studies

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Boundary spanning innovation and the patent system: Interdisciplinary challenges for a specialized examination system

Cited by 37 publications

References 33 publications

The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China

The Effect of Heterogeneity and Leadership on Innovation Performance: Evidence from University Research Teams in China

Semantically-based patent thicket identification

Sense and similarity: automating legal text comparison

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