Artificial intelligence focus and firm performance
Тип публикации: Journal Article
Дата публикации: 2022-06-08
scimago Q1
wos Q1
white level БС1
SJR: 6.896
CiteScore: 22.8
Impact factor: 10.1
ISSN: 00920703, 15527824
Economics and Econometrics
Business and International Management
Marketing
Краткое описание
Artificial Intelligence is poised to transform all facets of marketing. In this study, we examine the link between firms’ focus on AI in their 10-K reports and their gross and net operating efficiency. 10-K reports are a salient source of insight into an array of issues in accounting and finance research, yet remain relatively overlooked in marketing. Drawing upon economic and marketing theory, we develop a guiding framework to show how firms’ AI focus could be related to gross and net operating efficiency. We then use a system of simultaneous equations to empirically test the relationship between AI focus and operating efficiency. Our findings confirm that US-listed firms are in a state of impending transformation with regards to AI. We show how AI focus is associated with improvements in net profitability, net operating efficiency and return on marketing-related investment while reducing adspend and creating jobs.
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Mishra S., Ewing M. T., Cooper H. B. Artificial intelligence focus and firm performance // Journal of the Academy of Marketing Science. 2022.
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Mishra S., Ewing M. T., Cooper H. B. Artificial intelligence focus and firm performance // Journal of the Academy of Marketing Science. 2022.
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TY - JOUR
DO - 10.1007/s11747-022-00876-5
UR - https://doi.org/10.1007/s11747-022-00876-5
TI - Artificial intelligence focus and firm performance
T2 - Journal of the Academy of Marketing Science
AU - Mishra, Sagarika
AU - Ewing, Michael T
AU - Cooper, Holly B
PY - 2022
DA - 2022/06/08
PB - Springer Nature
SN - 0092-0703
SN - 1552-7824
ER -
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@article{2022_Mishra,
author = {Sagarika Mishra and Michael T Ewing and Holly B Cooper},
title = {Artificial intelligence focus and firm performance},
journal = {Journal of the Academy of Marketing Science},
year = {2022},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1007/s11747-022-00876-5},
doi = {10.1007/s11747-022-00876-5}
}
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