Abstract
In this article we introduce a multi-level structural variation approach to the study of a scientific field. The approach is motivated by an explanatory and computational theory of transformative discovery and novel structural variation metrics derived from the theory. We integrate the theoretical framework with a visual analytic process that enables an analyst to study the literature of a scientific field across multiple levels of aggregation and decomposition, including the field as a whole, specialties, topics and predicates. We demonstrate the use of this approach through a study of regenerative medicine.
Original language | English |
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Pages (from-to) | 619-640 |
Number of pages | 22 |
Journal | Technology Analysis and Strategic Management |
Volume | 25 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2013 |
All Science Journal Classification (ASJC) codes
- Strategy and Management
- Management Science and Operations Research