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~person:"Dwivedi, Yogesh Kumar"
~person:"Lambrecht, Anja"
~subject:"Bias"
~subject:"Unternehmer"
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Dwivedi, Yogesh Kumar
Lambrecht, Anja
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3
Cho, Sangheum
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A bias correction approach for interference in ranking experiments
Goli, Ali
;
Lambrecht, Anja
;
Yoganarasimhan, Hema
- In:
Marketing science
43
(
2024
)
3
,
pp. 590-614
Persistent link: https://www.econbiz.de/10014529246
Saved in:
2
Advancing algorithmic bias management capabilities in AI-driven marketing analytics research
Akter, Shahriar
;
Sultana, Saida
;
Mariani, Marcello M.
; …
- In:
Industrial marketing management : the international …
114
(
2023
),
pp. 243-261
Persistent link: https://www.econbiz.de/10014433460
Saved in:
3
The influence of digital entrepreneurship and entrepreneurial orientation on intention of family businesses to adopt artificial intelligence : examining the mediating role of busin...
Upadhyay, Nitin
;
Upadhyay, Shalini
;
Al-Debei, Mutaz M.
; …
- In:
International journal of entrepreneurial behavior & research
29
(
2023
)
1
,
pp. 80-115
Persistent link: https://www.econbiz.de/10013553726
Saved in:
4
Algorithmic bias in machine learning-based marketing models
Akter, Shahriar
;
Dwivedi, Yogesh Kumar
;
Sajib, Shahriar
; …
- In:
Journal of business research : JBR
144
(
2022
),
pp. 201-216
Persistent link: https://www.econbiz.de/10013184968
Saved in:
5
Theorizing artificial intelligence acceptance and digital entrepreneurship model
Upadhyay, Nitin
;
Upadhyay, Shalini
;
Dwivedi, Yogesh Kumar
- In:
International journal of entrepreneurial behavior & research
28
(
2022
)
5
,
pp. 1138-1166
Persistent link: https://www.econbiz.de/10013387508
Saved in:
6
Addressing algorithmic bias in ai-driven customer management
Akter, Shahriar
;
Dwivedi, Yogesh Kumar
;
Biswas, Kumar
; …
- In:
Journal of global information management
29
(
2021
)
6
,
pp. 1-27
Persistent link: https://www.econbiz.de/10012614487
Saved in:
7
Algorithmic bias? : an empirical study of apparent gender-based discrimination in the display of STEM career ads
Lambrecht, Anja
;
Tucker, Catherine
- In:
Management science : journal of the Institute for …
65
(
2019
)
7
,
pp. 2966-2981
Persistent link: https://www.econbiz.de/10012039966
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