Bibliographic Details
| Title: |
Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation. |
| Authors: |
Yoon, Junho1 (AUTHOR) junho-yoon@uiowa.edu, Pant, Gautam2 (AUTHOR) gpant@illinois.edu, Pant, Shagun2 (AUTHOR) spant@illinois.edu |
| Superior Title: |
Journal of Management Information Systems. 2024, Vol. 41 Issue 1, p39-72. 34p. |
| Subject Terms: |
*DESIGN science, *TECHNOLOGICAL innovations, MACHINE learning, FOLKSONOMIES |
| Abstract: |
In contrast with the accelerating trend of boundary-spanning (horizontal) technological innovation, the current Cooperative Patent Classification (CPC) scheme applies a hierarchical (vertical) structure to innovation output in terms of patents. For this reason, we argue that the CPC can be complemented with dynamic technological innovation system (TIS) discovery through machine learning that accounts for horizontal relationships across seemingly disparate technologies. Using a design science approach, we propose a framework to discover boundary-spanning TISs by leveraging the textual information from millions of patents. We validate our framework in terms of the ability of discovered relationships to predict future innovation quantity and quality in different technology classes. Our novel TIS-based innovation metrics that leverage patenting activity in related technology classes are significantly associated with future innovation intensity in focal technologies. We conduct experiments with machine learning models to further tease out the predictive utility of our TIS discovery framework. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Management Information Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Business Source Premier |
|
Full text is not displayed to guests. |
Login for full access.
|