1. SCIENCE AS A MAP IN TECHNOLOGY SEARCH
LEE FLEMING AND OLAV SORENSON
김용원
유정아

2. INTRODUCTION “기술의 흐름을 파악하면 혁신의 방향을 알 수 있지 않을까?” 에서 시작 !
INVENTION (Operational definition)
Process of searching for better combination of exciting components
<Local search>
Alter one component at a time, either reconfiguring it relative to the other components or replacing it with a different component
( ‘local’ means that research activities relate quite closely to prior research activities)

3. Reviews_1
<Science and search> Scientific knowledge provides inventors with the equivalent of a map -a stylized representation of the area being searched 장점: facilitate effective search can tell inventors how to avoid wasted effort still alter the search process in a useful manner <Technology landscapes> Offer a useful heuristic for thinking about the space that inventors must search when attempting to discover useful new inventions

4. Reviews_2
Coupling
Two components are coupled if a change made to one component requires a change to the other component for the overall product to work correctly
coupling ↑ ⇒ difficulty of search ↑
average usefulness of inventions ↓
uncertainty of invention ↑

5. EMPIRICAL ANLYSIS_1

6. EMPIRICAL ANLYSIS_2

7. EMPIRICAL ANLYSIS_3

8. Implication & Discussions
Is Coupling’s Speed more important than Coupling? (Citation and Citation’s Speed) Why did the authors use the Count Model(fixed effect negative binomial models) as a methodology? Technical Innovation and Innovation have the same ? Where is Market or User’s Innovation? Is Patent a useful indicator?