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~person:"Blecker, Thorsten"
~person:"Goldfarb, Avi"
~person:"Parida, Vinit"
~type_genre:"Aufsatz in Zeitschrift"
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Blecker, Thorsten
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Technological forecasting & social change : an international journal
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ECONIS (ZBW)
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Artificial intelligence : the ambiguous labor market impact of automating prediction
Agrawal, Ajay
;
Gans, Joshua
;
Goldfarb, Avi
- In:
The journal of economic perspectives : EP ; a journal …
33
(
2019
)
2
,
pp. 31-50
Persistent link: https://www.econbiz.de/10012038979
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2
The evolution of the financial technology ecosystem : an introduction and agenda for future research on disruptive innovations in ecosystems
Palmié, Maximilian
;
Wincent, Joakim
;
Parida, Vinit
; …
- In:
Technological forecasting & social change : an …
151
(
2020
),
pp. 1-10
Persistent link: https://www.econbiz.de/10012229725
Saved in:
3
An agile co-creation process for digital servitization : a micro-service innovation approach
Sjödin, Rönnberg David
;
Parida, Vinit
;
Kohtamäki, Marko
- In:
Journal of business research : JBR
112
(
2020
),
pp. 478-491
Persistent link: https://www.econbiz.de/10012230635
Saved in:
4
Artificial intelligence and innovation management : a review, framework, and research agenda
Haefner, Naomi
;
Wincent, Joakim
;
Parida, Vinit
; …
- In:
Technological forecasting & social change : an …
162
(
2021
),
pp. 1-10
Persistent link: https://www.econbiz.de/10012665567
Saved in:
5
How AI capabilities enable business model innovation : scaling AI through co-evolutionary processes and feedback loops
Sjödin, Rönnberg David
;
Parida, Vinit
;
Palmié, Maximilian
- In:
Journal of business research : JBR
134
(
2021
),
pp. 574-587
Persistent link: https://www.econbiz.de/10012643862
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6
Economic policy for articicial intelligence
Agrawal, Ajay
;
Gans, Joshua
;
Goldfarb, Avi
- In:
Innovation policy and the economy
19
(
2019
),
pp. 139-159
Persistent link: https://www.econbiz.de/10012261634
Saved in:
7
How to win with machine learning : and how to catch up if you're lagging behind
Agrawal, Ajay
;
Gans, Joshua
;
Goldfarb, Avi
- In:
Harvard business review : HBR
98
(
2020
)
5
,
pp. 126-133
Persistent link: https://www.econbiz.de/10012289051
Saved in:
8
How can machine learning aid behavioral marketing research?
Hagen, Linda
;
Uetake, Kosuke
;
Yang, Nathan
;
Bollinger, Bryan
- In:
Marketing letters : a journal of research in marketing
31
(
2020
)
4
,
pp. 361-370
Persistent link: https://www.econbiz.de/10012417690
Saved in:
9
AI-enabled business-model innovation and transformation in industrial ecosystems : a framework, model and outline for further research
Burström, Thommie
;
Parida, Vinit
;
Lahti, Tom
;
Wincent, …
- In:
Journal of business research : JBR
127
(
2021
),
pp. 85-95
Persistent link: https://www.econbiz.de/10012494384
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10
Exploring the impact of artificial Intelligence: prediction versus judgment
Agrawal, Ajay
;
Gans, Joshua
;
Goldfarb, Avi
- In:
Information economics and policy : IEP
47
(
2019
),
pp. 1-6
Persistent link: https://www.econbiz.de/10012302434
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