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~isPartOf:"Technological forecasting & social change : an international journal"
~language:"eng"
~person:"Lee, Changyong"
~type_genre:"Article in journal"
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Technischer Fortschritt
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8
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4
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Lee, Changyong
Coates, Joseph F.
47
Daim, Tugrul U.
37
Phillips, Fred
24
Porter, Alan L.
23
Gracht, Heiko von der
22
Islam, Nazrul
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Sarpong, David
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Dwivedi, Yogesh Kumar
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Dhir, Amandeep
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15
Schiavone, Francesco
15
Umar, Muhammad
15
Parida, Vinit
14
Song, Malin
14
Brem, Alexander
13
Del Giudice, Manlio
13
Hekkert, Marko P.
13
Lee, Sungjoo
13
Meissner, Dirk
13
Modis, Theodore
13
Sohn, So Young
13
Asongu, Simplice
12
Ayres, Robert U.
12
Chang, Victor
12
Devezas, Tessaleno C.
12
Ghazinoory, Sepehr
12
Gupta, Shivam
12
Phaal, Robert
12
Rana, Nripendra P.
12
Riahi, Keywan
12
Choi, Yongrok
11
Geels, Frank W.
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Hajli, Nick
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Technological forecasting & social change : an international journal
Technology analysis & strategic management
5
Technovation : the international journal of technological innovation, entrepreneurship and technology management
5
IEEE transactions on engineering management : EM
2
R & D management
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The service industries journal
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International journal of corporate governance : IJCG
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International journal of production economics
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ECONIS (ZBW)
15
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1
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:
2
A doc2vec and local outlier factor approach to measuring the novelty of patents
Jeon, Daeseong
;
Ahn, Joon Mo
;
Kim, Juram
;
Lee, Changyong
- In:
Technological forecasting & social change : an …
174
(
2022
),
pp. 1-11
Persistent link: https://www.econbiz.de/10013206100
Saved in:
3
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:
4
A review of data analytics in technological forecasting
Lee, Changyong
- In:
Technological forecasting & social change : an …
166
(
2021
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012693361
Saved in:
5
Open innovation at the national level : towards a global innovation system
Lee, Sungjoo
;
Lee, Hakyeon
;
Lee, Changyong
- In:
Technological forecasting & social change : an …
151
(
2020
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012229425
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
Novelty-focused weak signal detection in futuristic data : assessing the rarity and paradigm unrelatedness of signals
Kim, Jieun
;
Lee, Changyong
- In:
Technological forecasting & social change : an …
120
(
2017
),
pp. 59-76
Persistent link: https://www.econbiz.de/10011886448
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
Towards robust technology roadmapping : how to diagnose the vulnerability of organisational plans
Lee, Changyong
;
Kim, Juram
;
Lee, Sungjoo
- In:
Technological forecasting & social change : an …
111
(
2016
),
pp. 164-175
Persistent link: https://www.econbiz.de/10011611216
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