Artificial Intelligence: Opportunities and Managerial Challenges
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- Dold, Malte & Lewis, Paul, 2022. "F.A. Hayek on the political economy of endogenous preferences: An historical overview and contemporary assessment," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 104-119.
- Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2020.
"Artificial Intelligence, Algorithmic Pricing, and Collusion,"
American Economic Review, American Economic Association, vol. 110(10), pages 3267-3297, October.
- Calzolari, Giacomo & Calvano, Emilio & Denicolo, Vincenzo & Pastorello, Sergio, 2018. "Artificial intelligence, algorithmic pricing and collusion," CEPR Discussion Papers 13405, C.E.P.R. Discussion Papers.
- Parsons, Richard & Lacey, Justine & Moffat, Kieren, 2014. "Maintaining legitimacy of a contested practice: How the minerals industry understands its ‘social licence to operate’," Resources Policy, Elsevier, vol. 41(C), pages 83-90.
- Johnen, Johannes & Leung, Benson Tsz Kin, 2022.
"Distracted from Comparison: Product Design and Advertisement with Limited Attention,"
CEPR Discussion Papers
17234, C.E.P.R. Discussion Papers.
- Johnen, Johannes & Leung, Benson Tsz Kin, 2022. "Distracted from Comparison: Product Design and Advertisement with Limited Attention," LIDAM Discussion Papers CORE 2022017, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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More about this item
Keywords
algorithms; artificial intelligence; consumer manipulation; anticompetitive practices; compliance programmes; algorithmic audits;All these keywords.
JEL classification:
- K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
- K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ACC-2023-05-15 (Accounting and Auditing)
- NEP-CMP-2023-05-15 (Computational Economics)
- NEP-COM-2023-05-15 (Industrial Competition)
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