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~language:"eng"
~person:"Lee, Changyong"
~subject:"Technological change"
~type_genre:"Article in journal"
~type_genre:"Conference proceedings"
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Technological change
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Lee, Changyong
Antonelli, Cristiano
46
Afonso, Oscar
40
Daim, Tugrul U.
36
Vivarelli, Marco
35
Acemoglu, Daron
32
Kumbhakar, Subal
30
Porter, Alan L.
28
Lee, Keun
26
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23
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22
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22
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21
Nelson, Richard R.
21
Managi, Shunsuke
20
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19
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19
Messeni Petruzzelli, Antonio
19
Aghion, Philippe
18
Brem, Alexander
18
Song, Malin
18
Consoli, Davide
17
Pianta, Mario
17
Archibugi, Daniele
16
Coccia, Mario
16
Lee, Jeong-dong
16
Rasiah, Rajah
16
McCombie, John S. L.
15
Montresor, Sandro
15
Park, Yongtae
15
Popp, David
15
Chritonenko, Natalija V.
14
Chu, Angus C.
14
Crafts, Nicholas
14
Evangelista, Rinaldo
14
Beladi, Hamid
13
Chen, Jin
13
Galor, Oded
13
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13
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Technological forecasting & social change : an international journal
9
Technology analysis & strategic management
2
Technovation : the international journal of technological innovation, entrepreneurship and technology management
2
IEEE transactions on engineering management : EM
1
R & D management
1
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ECONIS (ZBW)
15
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1
Domain-specific valuation of university technologies using bibliometrics, Jonckheere-Terpstra tests, and data envelopment analysis
Kim, Juram
;
Hong, Suckwon
;
Kang, Yubin
;
Lee, Changyong
- In:
Technovation : the international journal of …
122
(
2023
),
pp. 1-11
Persistent link: https://www.econbiz.de/10014478393
Saved in:
2
Exploring a technology ecology for technology opportunity discovery : a link prediction approach using heterogeneous knowledge graphs
Choi, Jaewoong
;
Lee, Changyong
;
Yoon, Janghyeok
- In:
Technological forecasting & social change : an …
186PB
(
2023
),
pp. 1-15
Persistent link: https://www.econbiz.de/10014250562
Saved in:
3
Screening ideas in the early stages of technology development : a word2vec and convolutional neural network approach
Hong, Suckwon
;
Kim, Juram
;
Woo, Han-Gyun
;
Kim, Young-Choon
- In:
Technovation : the international journal of …
112
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013390645
Saved in:
4
Towards expert-machine collaborations for technology valuation : an interpretable machine learning approach
Kim, Juram
;
Lee, Gyumin
;
Lee, Seungbin
;
Lee, Changyong
- In:
Technological forecasting & social change : an …
183
(
2022
),
pp. 1-17
Persistent link: https://www.econbiz.de/10013473299
Saved in:
5
Valuation of university-originated technologies : a predictive analytics approach
Kim, Young-Choon
;
Ahn, Joon Mo
;
Kwon, Ohjin
;
Lee, Changyong
- In:
IEEE transactions on engineering management : EM
68
(
2021
)
6
,
pp. 1813-1825
Persistent link: https://www.econbiz.de/10013187955
Saved in:
6
Early identification of emerging technologies : a machine learning approach using multiple patent indicators
Lee, Changyong
;
Kwon, Ohjin
;
Kim, Myeongjung
;
Kwon, Daeil
- In:
Technological forecasting & social change : an …
127
(
2018
),
pp. 291-303
Persistent link: https://www.econbiz.de/10011957040
Saved in:
7
Concentric diversification based on technological capabilities : link analysis of products and technologies
Kim, Hyunwoo
;
Hong, Suckwon
;
Kwon, Ohjin
;
Lee, Changyong
- In:
Technological forecasting & social change : an …
118
(
2017
),
pp. 246-257
Persistent link: https://www.econbiz.de/10011884768
Saved in:
8
Patterns of technology life cycles : stochastic analysis based on patent citations
Lee, Changyong
;
Kim, Juram
;
Noh, Meansun
;
Woo, Han-Gyun
; …
- In:
Technology analysis & strategic management
29
(
2017
)
1
,
pp. 53-67
Persistent link: https://www.econbiz.de/10011710066
Saved in:
9
Stochastic technology life cycle analysis using multiple patent indicators
Lee, Changyong
;
Kim, Juram
;
Kwon, Ohjin
;
Woo, Han-Gyun
- In:
Technological forecasting & social change : an …
106
(
2016
),
pp. 53-64
Persistent link: https://www.econbiz.de/10011609990
Saved in:
10
An instrument for scenario-based technology roadmapping : how to assess the impacts of future changes on organisational plans
Lee, Changyong
;
Song, Bomi
;
Park, Yongtae
- In:
Technological forecasting & social change : an …
90
(
2015
)
1
,
pp. 285-301
Persistent link: https://www.econbiz.de/10011316402
Saved in:
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