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 |
|---|---|
| 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 Jul 4 |
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All Science Journal Classification (ASJC) codes
- Strategy and Management
- Management Science and Operations Research
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Hindsight, insight, and foresight : A multi-level structural variation approach to the study of a scientific field. / Chen, Chaomei.
In: Technology Analysis and Strategic Management, Vol. 25, No. 6, 04.07.2013, p. 619-640.Research output: Contribution to journal › Article
TY - JOUR
T1 - Hindsight, insight, and foresight
T2 - A multi-level structural variation approach to the study of a scientific field
AU - Chen, Chaomei
PY - 2013/7/4
Y1 - 2013/7/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84879514551&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879514551&partnerID=8YFLogxK
U2 - 10.1080/09537325.2013.801949
DO - 10.1080/09537325.2013.801949
M3 - Article
AN - SCOPUS:84879514551
VL - 25
SP - 619
EP - 640
JO - Technology Analysis and Strategic Management
JF - Technology Analysis and Strategic Management
SN - 0953-7325
IS - 6
ER -