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Cited by 339

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

How artificial intelligence will affect the future of retailing

Guha, Abhijit, Grewal, Dhruv, Kopalle, Praveen K., Haenlein, Michael, Schneider, Matthew J., Jung, Hyunseok, Moustafa, Rida, Hegde, Dinesh R., Hawkins, Gary·2021·Journal of Retailing

Abstract

Abstract Artificial intelligence (AI) will substantially impact retailing. Building on past research and from interviews with senior managers, we examine how senior retailing managers should think about adopting AI, involving factors such as the extent to which an AI application is customer-facing, the amount of value creation, whether the AI application is online, and extent of ethics concerns. In addition, we highlight that the near-term impact of AI on retailing may not be as pronounced as the popular press might suggest, and also that AI is likely to be more effective if it focuses on augmenting (rather than replacing) managers’ judgments. Finally, while press coverage typically involves customer-facing AI applications, we highlight that a lot of value can be obtained by adopting non-customer-facing applications. Overall, we remain very optimistic as regards the impact of AI on retailing. Finally, we lay out a research agenda and also outline implications for practice.

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Crossref · 10.1016/j.jretai.2021.01.005

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Metadata

Authors
Guha, A., Grewal, D., Kopalle, P. K., Haenlein, M., Schneider, M. J., Jung, H., Moustafa, R., Hegde, D. R., & Hawkins, G.
Venue
Journal of Retailing
Publisher
Elsevier BV
Published
2021-03
Volume
97
Issue
1
Pages
28-41
ISSN
0022-4359 (ISSN-L)
OpenAlex
W3128077503
Cited by
339
References
11
FWCI
17.47
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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